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The future of AI and ML within the realm of digital transformation is marked by ongoing evolution and promises further expansion. Here are some noteworthy trends and advancements to monitor: https://aventior.com/blogs/the-role-of-ai-and-ml-in-driving-digital-transformation/

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Aventior specializes in harnessing the power of AI and ML to drive organizational transformation. Their exclusive emphasis on AI and ML solutions enables them to support businesses in adopting digital transformation technologies tailored to their individual requirements and objectives. Here are a few of their primary offerings. https://aventior.com/blogs/the-role-of-ai-and-ml-in-driving-digital-transformation/

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AI-Driven Cybersecurity: Protecting Data in the Digital Age

In today's digital age, where data is the lifeblood of businesses and individuals alike, the importance of safeguarding data cannot be overstated. The proliferation of data has been accompanied by a rise in cyber threats, making data privacy, security, and protection a top priority for organizations and individuals. With technology advancing at an unprecedented pace, the traditional methods of securing data are no longer sufficient to combat evolving threats. This is where AI-driven cybersecurity comes into play, offering a revolutionary approach to protect your data in the digital age.

In this blog, we'll delve into the world of AI-driven cybersecurity, exploring how artificial intelligence is transforming the landscape of data protection and privacy. 

The Challenges of the Digital Age

The digital age has ushered in a world of unprecedented opportunities, but it has also given rise to a host of new challenges, particularly in the realms of data privacy and security. Some of the key challenges include:

Data Proliferation: With the explosive growth of data, organizations must manage and protect vast amounts of information. Data is no longer confined to on-premises servers but often resides in cloud environments, making it more susceptible to cyberattacks.

Sophisticated Cyber Threats: Cybercriminals have become increasingly sophisticated, using advanced techniques to breach systems, steal data, and disrupt operations. Traditional security measures are often ill-equipped to thwart these attacks.

Regulatory Compliance: Governments and regulatory bodies worldwide are enacting stringent data protection laws, such as GDPR and CCPA. Non-compliance can result in severe financial penalties and reputational damage.

Human Error: Despite the latest cybersecurity tools and protocols, human error remains a significant factor in data breaches. Misconfigured settings, weak passwords, and phishing attacks continue to pose risks.

AI-Driven Cybersecurity: A Game-Changer

In this ever-evolving landscape, AI-driven cybersecurity is emerging as a game-changing solution to the challenges posed by the digital age. Artificial intelligence brings to the table a range of capabilities that can significantly enhance data protection and privacy. These capabilities include:

Predictive Analysis: AI algorithms can analyze vast datasets to identify patterns and anomalies. By doing so, they can predict potential threats before they materialize, allowing organizations to take proactive measures.

Real-Time Monitoring: AI systems provide real-time monitoring of network traffic and system behavior. Any suspicious activity can be flagged immediately, reducing response times to threats.

Automation: AI can automate routine security tasks, reducing the burden on cybersecurity teams. This allows experts to focus on more complex and strategic aspects of cybersecurity.

Improved User Authentication: AI can enhance user authentication processes, making it more difficult for unauthorized users to gain access. This includes biometric authentication and behavior analysis.

Threat Detection: AI-driven cybersecurity solutions can rapidly detect and classify new and evolving threats, adapting to changing attack vectors in real-time.

Incident Response: In the event of a security incident, AI can assist in incident response by quickly identifying the source and scope of the breach, allowing for a more targeted and effective response.

The impact of AI-driven cybersecurity

Aventior's AI-Computer Vision technology is a game-changer in the realm of data protection. It combines artificial intelligence with computer vision to secure data in a novel way. Computer vision enables machines to interpret and understand visual information from the world. When applied to data security, it offers a unique advantage. 

Here are some of the key features of Aventior's AI-Computer Vision technology:

Data Classification: The system can automatically classify data, identifying sensitive and non-sensitive information. This is particularly valuable for organizations dealing with vast amounts of data.

Anomaly Detection: By continuously monitoring data access and usage, Aventior's technology can spot anomalies and suspicious behavior, which could indicate a data breach or insider threat.

Behavior Analysis: The AI component analyzes user behavior to detect deviations from established norms. This allows for more precise identification of security threats.

Response Automation: When a threat is detected, the system can automatically trigger responses, such as isolating compromised systems or alerting security teams.

Scalability: Aventior's solutions are designed to scale with an organization's data needs. Whether you're a small business or a large enterprise, their technology can adapt to your requirements.

Aventior's AI-Computer Vision technology has made a significant impact on data protection and privacy. Here are some examples of how it has benefited organizations:

Reduced False PositivesThe system's ability to differentiate between normal and abnormal behavior has led to a reduction in false positives, allowing security teams to focus on genuine threats.

Faster Threat ResponseThe real-time monitoring and automated response capabilities have significantly shortened the time required to respond to security incidents.

Compliance AssuranceAventior's technology assists organizations in maintaining regulatory compliance by ensuring data security and privacy measures are consistently enforced.

Cost SavingsBy automating many security tasks and reducing the impact of security incidents, Aventior's solutions have led to cost savings for their clients.

How AI-Driven Cybersecurity is Revolutionizing Data Protection

AI-driven cybersecurity is revolutionizing data protection in a number of ways.

Improved threat detection and responseAI-driven cybersecurity solutions can rapidly detect and classify new and evolving threats, adapting to changing attack vectors in real time. This is essential in the ever-changing threat landscape.

More personalized and proactive securityAI can be used to create more personalized and proactive security solutions. For example, AI-powered solutions can be used to analyze user behavior and identify anomalies that may indicate a security threat. This information can then be used to take preventive measures to protect the user.

Greater integration with other security technologiesAI-driven cybersecurity solutions are becoming more integrated with other security technologies, such as firewalls, intrusion detection systems, and security information and event management (SIEM) systems. This allows for a more comprehensive and coordinated approach to security.

Overall, AI-driven cybersecurity has the potential to revolutionize the way we protect our data and systems from cyberattacks.

Conclusion

In the digital age, data is both a valuable asset and a significant liability. Protecting that data is of paramount importance, and AI-driven cybersecurity is proving to be a game-changer. With its ability to predict, monitor, and respond to threats, AI is enhancing data security and privacy in ways previously unimaginable.

Aventior, with its AI-Computer Vision technology, exemplifies the potential of AI in the realm of data protection. In addition to strengthening security, the approach streamlines processes and reduces the burden on cybersecurity teams.

As we continue to embrace the opportunities of the digital age, it's essential to be equally vigilant about safeguarding our data. AI-driven cybersecurity offers a path forward, enabling us to protect our data in an ever-evolving threat landscape. In this digital age, where data is king, AI is the guardian that stands at the gates, ready to defend and protect.

To discover what AI can do for you and to learn more about Aventior's industry-leading solutions and services, contact Aventior today. 

To know further details about our solution, do email us at info@aventior.com.

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The Future of AI and ML in Digital Transformation

The future of AI and ML in digital transformation is marked by ongoing evolution, and their role in this process is set to expand further. Several noteworthy trends and developments should be closely monitored.

Explainable AI: With the increasing complexity of AI systems, there's a growing demand for "explainable AI." This entails that AI algorithms should be capable of providing clear, understandable explanations for their decisions. This is particularly important in sectors like healthcare and finance, where transparency is paramount.

Edge Computing: The fusion of edge computing with AI facilitates data processing at the source, reducing latency and enabling real-time decision-making. This has profound implications for IoT applications where split-second decisions are crucial.

Enhanced Cybersecurity: AI and ML are playing a pivotal role in strengthening cybersecurity. They can swiftly and effectively detect and respond to threats, helping organizations safeguard their digital assets and customer data.

Aventior, a prominent player in the field of digital transformation, offers a range of capabilities and solutions that are instrumental in helping organizations navigate the evolving landscape:

Industry Expertise: Aventior's specialization spans diverse industries, including healthcare, finance, manufacturing, and retail. This extensive knowledge allows them to tailor AI and ML solutions to meet the specific needs and challenges of each sector.

Comprehensive Solutions: Aventior doesn't offer fragmented solutions; they provide end-to-end digital transformation services. This ensures that clients receive a clear roadmap and the necessary tools to navigate their digital transformation journey.

Customization: Aventior's approach is highly adaptable. They closely collaborate with their clients to grasp their unique requirements and then develop solutions that align with their digital transformation objectives.

Data Integration: Aventior excels in integrating data sources and streamlining data flows, a critical aspect of successful digital transformation. Their expertise in data architecture and data engineering is exceptional.

Scalability and Future-Proofing: In a constantly evolving digital landscape, Aventior ensures that its solutions are scalable and adaptable. This empowers clients to stay ahead of the curve as technology continues to advance.

In a world where digital transformation is not a question of "if" but "when," Aventior stands out as a beacon of expertise and reliability. Their AI and ML-driven solutions have paved the way for numerous businesses to thrive in the digital age.

Regarding Aventior's Unstructured Data Solutions:

Aventior's significant strides in harnessing the potential of AI and ML for digital transformation are evident, particularly in their offerings related to unstructured data solutions, with a specific emphasis on CPV-Auto™ NXG. This solution excels at converting unstructured data into actionable insights, making data-driven decision-making accessible for organizations. Unstructured data, often in the form of documents and text, holds substantial importance in every business. Traditionally, extracting meaning from such data has been a time-consuming and error-prone process. However, Aventior's CPV-Auto™ NXG leverages the capabilities of AI and ML to automatically extract, categorize, and interpret unstructured data, thereby transforming it into a valuable asset for organizations.

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The Power of Analytics-Driven Platforms and Data Exchange

In the ever-evolving realm of healthcare, two fundamental pillars are driving change: analytics-driven platforms and re-architecting legacy systems for seamless data exchange. These twin engines of transformation are reshaping the industry, offering a promising future where data leads to actionable insights and interconnected healthcare systems.

Analytics-Driven Platforms: Illuminating Insights

Healthcare generates a massive volume of data daily, from patient records to medical research. To harness the full potential of this data, the industry is turning to analytics-driven platforms. These platforms use advanced analytics, machine learning, and artificial intelligence to provide healthcare professionals with a deeper understanding of patient care.

Greater Visibility: Analytics-driven platforms offer unprecedented visibility into patient health and treatment outcomes. They sift through vast datasets to identify patterns, trends, and anomalies, enabling healthcare providers to make informed decisions swiftly.

Actionable Outcomes: The insights derived from analytics-driven platforms are not just for show. They translate into actionable outcomes, allowing healthcare professionals to intervene more effectively, improve patient care, and even save lives.

Data Exchange: Bridging the Gaps

While analytics-driven platforms are shaping the present and future of healthcare, they can't work in isolation. Interconnected data is crucial. This is where the re-architecting of legacy systems and adapting to new data standards come into play.

Interoperability: The healthcare sector is notorious for fragmented systems and siloed data. Legacy platforms often struggle to communicate. By re-architecting these systems, healthcare providers can ensure seamless data exchange. This means that patient information can flow smoothly between different systems, reducing errors and improving patient care.

Adapting to New Standards: Data standards in healthcare are evolving rapidly. To stay relevant and maintain data integrity, healthcare organizations are re-engineering their systems to align with these new standards. This forward-looking approach ensures that data remains consistent and secure, facilitating better care coordination and research.

The marriage of analytics-driven platforms with improved data exchange capabilities is a game-changer. It fosters a healthcare ecosystem where data is the lifeblood, flowing freely and securely to the benefit of patients and healthcare providers.

The road ahead promises a healthcare landscape where analytics-driven insights lead to improved patient outcomes, and data exchange ensures that these insights are utilized optimally across the entire healthcare spectrum. It's a future where healthcare isn't just about treatment; it's about prevention, personalization, and the well-being of us all.

In the journey towards this healthcare revolution, innovation knows no bounds. With data as our guide, we're poised to redefine healthcare, making it better, more efficient, and ultimately more humane. The future of healthcare has never looked brighter.

Aventior is a global technology consulting and services company that specializes in providing advanced data and automation solutions to a wide range of industries. With a mission to empower businesses with transformative technologies, Aventior combines data science, artificial intelligence, machine learning, and automation to help organizations make data-driven decisions and streamline their operations.

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Unlock Efficiency and Compliance with CPV-Auto™ NXG

In the fast-paced world of biopharmaceuticals, staying ahead means staying efficient and compliant. Digitizing your paper-based records is not just a modernization step; it's a necessity for streamlined operations and adherence to regulatory standards. That's where CPV-Auto™ NXG comes in – your smart solution for biopharmaceutical record digitization.

Step 1: Seamless Conversion

CPV-Auto™ NXG simplifies the daunting task of converting paper records into digital format. With advanced features like auto text extraction and built-in categorization, this software takes the manual effort out of digitization. Say goodbye to time-consuming data entry and hello to instant, accurate results.

Step 2: Effortless Organization

Sorting through heaps of digital files can be just as challenging as dealing with paper records. CPV-Auto™ NXG's built-in categorization feature is your digital filing assistant. It classifies documents uploaded on platforms like Box Drive into their respective workflows. This means easy access, efficient processing, and a well-organized digital archive.

Step 3: Automation for Precision

Digitization often comes with the challenge of varying document layouts. CPV-Auto™ NXG solves this problem with the power of AI and ML. It automates data extraction, regardless of how your documents are structured. The result? Data accuracy that meets industry standards.

Step 4: Accurate to the Pixel

No scan is perfect, and minor shifts or skews can lead to inaccuracies in your digital records. CPV-Auto™ NXG doesn't miss a beat. It employs coordinate mapping to compensate for these shifts, ensuring that your digitized records mirror the original data down to the pixel.

Step 5: Data Integrity Assurance

Biopharmaceutical data is sensitive, and integrity is non-negotiable. CPV-Auto™ NXG lets you set range parameters, specifying the acceptable minimum and maximum values for parameters. This safeguards your data and ensures compliance with industry standards.

Step 6: Quality Control

Even with advanced technology, a human touch is invaluable. CPV-Auto™ NXG incorporates a peer review process, independently verifying data points with a human in the loop. This double-check system adds an extra layer of quality control to your digitization process.

Step 7: Security You Can Trust

Compliance with regulatory standards is paramount in biopharmaceuticals. CPV-Auto™ NXG understands this and is designed to be 21-CFR Part 11 and GAMP compliant. Your data's security is never compromised.

Ready to Transform Your Biopharmaceutical Records?

CPV-Auto™ NXG is not just software; it's a game-changer for biopharmaceutical record management. With it, you can digitize with confidence, ensuring efficiency, accuracy, and compliance at every step.

Don't let paper-based records hold you back. Embrace the future of biopharmaceutical record digitization with CPV-Auto™ NXG today.

Connect with us at https://aventior.com/unstructured-data-solutions-cpv-auto-nxg/ to learn more and experience the difference for yourself.

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Transforming Data Visualization through OpenAI Integration

In the fast-paced, data-driven world of today, staying ahead of the curve is not just an advantage; it’s a necessity. With OpenAI Integration, we’re ushering in a new era in data visualization that empowers individuals and organizations to harness the full potential of their data.

Our commitment to AI-powered insights, natural language interaction, real-time updates, customization, and security ensures that your data is not just visualized but truly understood and leveraged for informed decision-making.

Gain Valuable Insights by Reading this Blog https://aventior.com/blogs/revolutionizing-data-visualization-with-openai-integration/

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The Future of Sentiment Analysis Unveiling Advances

In the dynamic realm of technology, the evolution of sentiment analysis stands as a testament to the remarkable strides made in Artificial Intelligence (AI) and its core technologies. As we gaze into the future, it’s evident that the trajectory of sentiment analysis is intricately interwoven with the very foundations of AI, including Machine Learning, Deep Learning, and even the seamless integration of devices through the Internet of Things (IoT).

The Essence of Sentiment Analysis

Sentiment analysis, often referred to as opinion mining, encapsulates the art of deciphering emotions and opinions from textual data. It’s a quintessential subset of NLP, the synergy between computers and human language. From manual coding and rule-based systems of yesteryears to the current AI-powered marvels, the evolution of sentiment analysis echoes a relentless pursuit of accuracy and efficiency.

AI-Driven Sentiment Analysis: The Force Behind the Future

At the core of sentiment analysis’ promising future lies the potency of AI. Machine Learning (ML) and Deep Learning have elevated sentiment analysis models, enabling them to grasp context, idiomatic expressions, and even cultural nuances. This transformation empowers the technology to embrace the intricacies of human communication with astounding precision.

An exciting trend on the horizon is the convergence of sentiment analysis with other AI pillars like image and voice recognition. The outcome is a holistic comprehension of human emotions, enabling organizations to glean insights from a multifaceted spectrum of data.

Leveraging NLP Technologies

The future of sentiment analysis converges with the trajectory of NLP technologies. Innovations in NLP amplify sentiment analysis capabilities. Transfer Learning, an exemplar of this synergy, empowers sentiment analysis models to be pre-trained on extensive text data and then fine-tuned for specific tasks, ensuring accuracy and reducing dependency on massive labeled datasets.

With models like GPT-3, the capacity for language generation and understanding reaches new heights. This means sentiment analysis tools can seamlessly capture the nuances of human emotion and context, resulting in more nuanced and precise sentiment predictions.

Challenges, Companies, and the Road Ahead

While sentiment analysis has scaled remarkable heights, challenges remain on the horizon. Sarcasm and irony detection, for instance, continue to pose puzzles. Although AI models have made strides, fine-tuning for these complexities is a focal point for future advancements.

Companies are at the forefront of shaping sentiment analysis. Established tech giants like Google, Microsoft, and IBM incorporate sentiment analysis into their NLP arsenal. Simultaneously, startups like Aventior are redefining sentiment analysis paradigms, as seen in their ingenious Solution: Problem project.

Unveiling Aventior’s Breakthrough

Aventior, a trailblazer in AI-driven innovation, tackled a significant issue in sentiment analysis. They identified the challenge of relying solely on customer reviews for analysis. To address this, Aventior introduced a pioneering solution:

Problem Recognition: Aventior acknowledged the difficulty of comprehensive analysis without an extensive reliance on customer reviews.

Innovative Solution: Aventior’s solution encompassed a series of groundbreaking pipelines, including Exploratory Data Analysis, Pipeline-Driven AI (Polarity Based Sentiment Analysis and Rating-Based Sentiment Analysis), and a Hybrid AI-Driven Pipeline for Consumer Sentiment Aspect Extraction and Polarity Association.

Impactful Results: The impact of Aventior’s solution was astounding. Through AI-powered real-time data analysis, they reduced analysis time from 54 days to a mere 27 hours. Furthermore, Aventior’s system streamlined data analysis, eradicating errors rooted in lexical and judgment discrepancies.

Discovering New Horizons in the Future

As AI and NLP unfurl their wings, the future of sentiment analysis gleams with promise. We envision sentiment analysis models growing more attuned to context, capable of decoding emotions with finesse. The fusion of sentiment analysis with other AI domains promises new dimensions of insights.

The journey of sentiment analysis stands as a testament to AI’s capacity to decode human emotions and opinions. In this era of rapid technological advancement, the potential of sentiment analysis to redefine industries and drive informed decision-making is an awe-inspiring reality. As we embrace the dawning future, sentiment analysis stands at the precipice of transformation, poised to reshape the way we comprehend and navigate the human experience.

To know further details about our solution, do email us at info@aventior.com.

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Unstructured Data Solutions: The key to Unlocking Business Insights

In today’s digital age, businesses generate an enormous amount of data. However, a significant portion of this data remains unstructured, causing challenges for organizations across various industries. One prominent factor contributing to this problem is the use of manual, paper-based systems in many sectors, including the pharmaceutical and biopharmaceutical industries. These outdated systems impede the efficient handling and processing of data, leading to data inaccuracies, process inefficiencies, and increased expenses. The need for a solution that can transform unstructured data into valuable business insights has become paramount.

Unstructured data: Factors contributing to its prevalence

The biopharma upstream/downstream process involves various stages and activities such as cell development, chromatography, viral clearance, final formulation, and sterile filtration. These processes generate a significant amount of data and documentation(paper mostly), leading to several challenges:

Manually Intensive Data Management: The management of data in the biopharma industry often relies on manual processes, which can be time-consuming and error-prone. This includes data entry, data tracking, and data analysis, among other tasks.

Searchability & Findability: With a variety of data files in different formats, including PDFs, Word documents, PowerPoint presentations, and spreadsheets, it can be challenging to search for and find specific information when needed. This lack of searchability and findability can hinder decision-making and slow down processes.

Unstructured Data: Unstructured data refers to information that is not organized or easily searchable. In the context of biopharma production processes, unstructured data can include scanned PDFs, handwritten notes, or data collected from various sources that are not standardized or organized in a structured manner.

Time Consuming and Capital-Intensive: Dealing with inconsistent data formats, file flow, traceability across departments, and data harmonization can consume significant time and resources. The manual handling of data and the need for data verification and validation add to the overall capital investment required for efficient data management.

Reasons for Unstructured Data: Unstructured data may arise due to a variety of factors in the biopharma industry. These factors include the use of legacy systems or outdated technologies that do not support structured data, diverse data sources that produce information in different formats, and the historical reliance on paper-based documentation systems that are not easily digitized.

The industry needs to adopt digital solutions and technologies such as data management systems, electronic documentation systems, and advanced data analytics tools to address these challenges. Implementing standardized data formats, automating data entry and analysis processes, and promoting data sharing and collaboration across departments that significantly improve data management efficiency in the biopharma industry.

CPV-AutoTM NXG : A Potential Solution

Aventior’s CPV-AutoTM NXG platform emerged as a promising way to manage unstructured data. Primarily developed for the pharmaceutical and biopharmaceutical industries. CPV-AutoTM NXG employs cutting-edge technologies, including Artificial Intelligence and Natural Language Processing, to unlock the hidden insights within unstructured data. By leveraging advanced algorithms, the platform rapidly processes and analyzes vast amounts of unstructured data, transforming it into structured, actionable information.

Aventior offers a one-stop solution for document digitization. By automating the conversion of paper-based batch records into structured data, the platform enables organizations to streamline their data management processes, achieve compliance, and unlock valuable insights.

Through the use of OCR (optical character recognition), text analytics, and image processing, the AI engine extracts important data from paper records, including measurements, instrument reports, numbers, and handwritten notes.

The extracted data is then transformed into structured formats, compatible with downstream analytics platforms commonly used in the industry. This digitization process ensures data Integrity, Efficiency, Accuracy, and GxP compliance, as CPV-AutoTM NXG adheres to industry standards such as 21 CFR Part 11 and GAMP 5.

Integrity: CPV-AutoTM NXG ensures the integrity of data throughout the digitization process. With its AI-assisted technology, the platform guarantees 100% correctness of output data, eliminating the risk of errors and inaccuracies commonly associated with manual data entry.

Efficiency: By automating paper-based systems, CPV-AutoTM NXG improves operational efficiency significantly. The platform creates structured data outputs that are compatible with popular downstream analytics platforms, allowing businesses to analyze and derive meaningful insights from their data effortlessly.

Accuracy: Leveraging advanced technologies such as optical character recognition (OCR), text analytics, and image processing, CPV-AutoTM NXG accurately captures and extracts important data from paper batch records. This ensures that businesses have access to reliable and precise information for critical decision-making.

GxP Compliance: CPV-AutoTM NXG adheres to the highest industry standards, including 21 CFR Part 11 and GAMP 5. The platform undergoes rigorous validation at every step to ensure quality and compliance with established GxP norms, providing businesses with peace of mind.

Real-time Monitoring and Intervention: With CPV-AutoTM NXG, manufacturing (CPV) and patient records can be recorded in real-time or near real-time. This capability enables Quality Control teams to intervene promptly, minimizing risks and ensuring product quality throughout the production process.

Working Principle : CPV-AutoTM NXG

CPV-AutoTM NXG follows a multi-step process to unlock insights from unstructured data:

Data Acquisition: It collects unstructured data from various sources, including, PDFs, Word/Text documents, PowerPoint presentations, and spreadsheets. The solution is designed to handle large volumes of data from diverse sources.

Data Preprocessing: CPV-AutoTM NXG cleans and preprocesses the unstructured data to remove noise, standardize formats, and enhance data quality. This step involves techniques such as text parsing, entity recognition, sentiment analysis, and image preprocessing.

Data Enrichment: The solution enriches the unstructured data by augmenting it with additional information. For example, it may classify documents into predefined categories, extract named entities, recognize objects in images, or perform language translation.

Analysis and Insights Generation: CPV-AutoTM NXG employs advanced AI and ML algorithms to analyze the enriched data and extract meaningful insights. This includes sentiment analysis, topic modeling, image recognition, document clustering, text summarization, and more.

Visualization and Reporting: The solution provides intuitive visualizations and reports to present the derived insights in a digestible format. This enables businesses to make informed decisions based on the analyzed data.

Business Impact : CPV-AutoTM NXG

Implementing CPV-AutoTM NXG can have a transformative impact on businesses across multiple sectors. By digitizing paper batch records, organizations can experience a significant decrease in processing time and total cost of ownership. With batch records in structured formats, businesses can more easily search, analyze, and compare data across different batches or lots. The near real-time monitoring of Critical Production Parameters (CPP) allows for timely intervention and informed decision-making, enhancing product quality and process control.

Furthermore, CPV-AutoTM NXG’s AI-assisted technology ensures the correctness of output data, reducing inaccuracies and the risk of errors. The platform’s ability to handle both template and non-template based batch records accommodates diverse data structures and workflows.

The implementation of CPV-AutoTM NXG has a profound impact on businesses across industries. Here are some key benefits:

Quicker Data Processing: CPV-AutoTM NXG accelerates data processing by providing Critical Production Parameters (CPP) up to 15 times faster than traditional methods. This enables businesses to make informed decisions swiftly, enhancing operational efficiency and agility.

Enhanced Data Security: The platform adheres to industry-leading data security standards. Being 21-CFR Part 11 compliant and meeting GxP norms, CPV-AutoTM NXG ensures that your sensitive information remains protected. Its Cloud-based validated solution employs state-of-the-art security protocols.

Improved Decision-Making: By converting unstructured data into structured insights, CPV-AutoTM NXG empowers businesses to make data-driven decisions. Actionable information derived from unstructured data can reveal customer preferences, market trends, and operational inefficiencies, leading to optimized strategies and increased competitiveness.

Case Studies : Success Stories with CPV-AutoTM

Multiple organizations have already benefited from implementing CPV-AutoTM NXG. For example, a biopharmaceutical company faced the challenge of managing unstructured data from various stages of their manufacturing process and engineering runs.

Case Study: Digital Transformation Solution for Bio-Manufacturing Operations A research-based global biopharmaceutical company faced challenges in managing unstructured data from various stages of their bio-manufacturing processes and engineering runs. By implementing the CPV-AutoTM platform, they achieved remarkable results. The platform’s AI-assisted conversion capabilities enabled the detection and extraction of crucial information from unstructured data, significantly reducing the time required for parameter search and data analysis by 80%. Integration with their data warehouse facilitated efficient data storage and easy access for comparison and analysis. The structured data obtained empowered the client to make informed decisions, optimize manufacturing processes, and drive operational efficiency, leading to a successful digital transformation in their bio-manufacturing operations.

Case Study: Data Strategy & Transformation Services in Monoclonal Antibody Production Process A global biopharmaceutical company faced challenges in incorporating genetic-level analysis for monoclonal antibody (mAb) characterization due to unstructured data spanning multiple unit operations and lots. By implementing Data Strategy & Transformation Services, including AI-assisted conversion, machine learning algorithms, and data flagging mechanisms, the company successfully streamlined analysis, merged data from various runs/cycles, and identified outliers for early intervention and informed decision-making. This transformation enabled researchers to gain comprehensive insights into mAbs, leading to improved research outcomes and potential advancements in patient treatments.

Conclusion

Unstructured data holds immense potential for businesses, but extracting insights from it can be a complex task. However, with advanced solutions like CPV-AutoTM NXG, businesses can overcome this challenge and unlock valuable insights hidden within unstructured data. By leveraging AI, ML, NLP, and computer vision, CPV-AutoTM NXG empowers businesses to make data-driven decisions, improve operational efficiency, and gain a competitive edge in today’s data-driven world. Embracing unstructured data solutions is the key to unlocking business insights and staying ahead in the digital era.

In a world where data is king, embracing unstructured data solutions is the key to unlocking business insights and driving success in today’s rapidly evolving landscape. CPV-AutoTM NXG stands as a powerful tool, helping organizations overcome the challenges of unstructured data and opening doors to unprecedented opportunities. Are you ready to harness the power of structured data and revolutionize your business?

To know further details about our solution, do email us at info@aventior.com.

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Data Visualization: Investigative Analysis and Insights

Over the 2+ years, the world has struggled to make sense of – and respond appropriately to – a rapidly unfolding global pandemic. The demand for public health information skyrocketed at the time.

Although other variables have contributed to the surge in data analytics and visualization technologies, the pandemic is by far the most recent and the most prominent one. The COVID-19 outbreak has increased the use of health technology, causing a noticeable increase in the volume of data produced in digital and electronic forms. As a result, there has been an increase in data visualizations through employing data platforms to enable analytics through the production of KPIs (Key Performance Indicators).

Aventior’s approach to data visualization

The representation of data using common graphics such as charts, plots, infographics, and even animations is known as data visualization. For contemporary medical companies, data visualization in the healthcare sector is an absolute necessity, since these visualizations convey information about complex data relationships and data-driven insights.

The healthcare systems of today continuously gather and track mountains of data. Furthermore, healthcare organizations deal with information from diagnostic labs, pharmaceutical firms, and dozens, if not hundreds, of IoT devices inside hospitals.>

Aventior has been able to provide services for complete data lifecycle management, including data acquisition, storage, modeling and consultation, ETL processing, building pipelines, migration, integration, visualization, and analytics.

Aventior designs and develops a universal data model spanning multiple operations for Healthcare, Life Sciences, and Biopharmaceutical clients. This is made possible by designing the cloud architecture to house some of the major components supporting the extraction of data into a Data Lake, implementation of the data model within a Data Warehouse, and implementation of a data visualization platform such as TIBCO Spotfire or PowerBI to support investigative analytics.

Data silos are made available to store historical and real-time data and the data architecture paradigm is future-proofed. The population of the Data Lake includes the bulk upload of archived data, initially present in unstructured or semi-structured file formats like PDFs, word documents, text documents, PowerPoint presentations, and spreadsheets into structured data sources.

Extracting data from such files present on the data lake was performed using Aventior’s proprietary DRIP and CPV-Auto platforms capable of processing unstructured data.

Interactive Dashboards

By ensuring that businesses make effective data-driven decisions and are more proactive in foreseeing new trends, Aventior offers turnkey data visualization services and assists businesses in staying ahead of the curve.

Analytics Dashboards come in three primary categories:

Operational: For showing real-time data

Strategic: For displaying recurring patterns and trends

Analytical: For more sophisticated analytics

On-point analytics and accurate healthcare data visualizations are made possible by simple data segmentation, configurable reports, charts, and diagrams. With the Dashboards featuring the visualized data via charts and tables, it is possible to monitor the organization’s health against established goals and industry benchmarks.

In a nutshell, Aventior manages the process of combining various data from different sources and turning it into visual material such as infographics and mini-infographics, charts, tables, timelines, scatter plots, and others.

Conclusion

Given that the healthcare industry is transitioning to a more data-centric environment, it is apparent that the data visualization solution will continue to grow and expand in the future. Aventior offers thorough insights into every facet of the technology, as well as all forms of data, in an approachable format.

To know further details about our solution, do email us at info@aventior.com.

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Pharma 4.0TM – Key Drivers, Game-Changers, Technologies

The Digital era has been a boon to the industry. But pharma manufacturers deal with increasingly complex challenges in this digital era. Pharma manufacturers need a holistic approach to increase quality, safety, transparency, agility, and productivity.

Pharma 4.0TM, a term coined by ISPE (International Society for Pharmaceutical Engineering) is a concept adopted from Industry 4.0. The concept aims to bring in an interactive system, analytical data, advanced automation, and a simplified regulatory framework. It strives for a complete digitalized operations standard for pharma companies that involves big data, robotics, AI, cloud-based architectures, and more to develop next-generation therapies.

Pharma 4.0TM & the enabling factors

To enable the smooth transition to Pharma 4.0TM, there are two enabling factors or operating models designed by ISPE led Special Interest Group (SIG):

Digital Maturity

The company’s current digital maturity will define the company’s capability to implement and operate within the parameters of Pharma 4.0TM. Hence digital maturity can be assessed by the following 4 elements:

– Resources

The aim of Pharma 4.0TM is to reduce its human dependency on repetitive operations and make resources focus on value addition operations. The Human component is the key to the success of Pharma 4.0TM. A qualified cross-functional team that includes experts from development to manufacturing to supply chain to sales and areas between these processes are needed to ensure the smooth implementation of the holistic control strategy.

– Organization & Processes

Instead of the current manufacturing control strategy as per ICH Q8, Q10 and Q11, Pharma 4.0TM focuses on the Holistic Control strategy. The focus is to maximize the benefits of connectivity, digitization, monitoring, and decision-making driven by real-time data across the organization. The holistic control strategy includes the product, process, and systems view. And these are reflected in data

– Information Systems

Information systems elaborate what systems, platforms, and interfaces will be needed to implement a holistic control strategy. The systems needed are for process control, site data, lab information management, enterprise resource planning, and maintenance management to name a few. Integration among the entire system is the key to achieving the desired level of digital maturity.

– Culture

A major culture change is needed to achieve the holistic control strategy by making the organization a process-driven lean organization. Pharma 4.0TM needs trained and multi-skilled experts for the same. It also needs greater transparency between pharma companies and regulators.

Data Integrity by design

Data is the crust of Pharma 4.0TM. Business processes need to be documented in a well-defined and structured format. It should be transparent and adhere to regulatory guidelines. Hence the key focus is on the integrity of data shared, transferred, and made available for all the stakeholders while implementing the holistic control strategy. For this, the strong integrated software system needs solid data governance and data integrity design for attaining digital maturity.

Emerging Technologies for adopting Pharma 4.0TM

To begin the implementation of Pharma 4.0TM, you can begin with the assessment of the current level of digitization, identify opportunities, and adopt appropriate technologies. The Digital plant maturity model levels (DPMM) help organizations to move from paper-based level to adaptive and automated level.

Let’s explore the emerging technologies for implementing Pharma 4.0TM

– Digital Twin technology

This virtual technology is a duplication of your process control system. It is a platform to test software updates before employing them. It will ensure the least possible disruption to operations.

– Robotics

Robotics technology helps to automate repetitive tasks. It can be applied in the packaging process, sampling process to weigh and dispense to name a few. It can handle toxic materials and reduce potential danger to workers. It also helps to minimize human error during any process and prevents product failures.

– Cloud-based technology

Cloud-based technology helps to reduce the hardware requirement by having IT infrastructure in the cloud. The process control system, manufacturing execution system, and data historian can be migrated to the cloud with secure data integrity.

– Mobile technology

Well-designed wireless technology can help to bring in Mobile technology in your organization. Mobile tablets can replace bulky human-machine interfaces from process control systems, data historian, and manufacturing execution systems.

– Process analytical technology (PAT)

It can collect sensing and monitoring data from equipment and provides automated feedback. This helps decision-making.

– Artificial Intelligence

AI helps in predictive maintenance and analytics. AI can be used as a tool to predict any failures during the manufacturing process and it can be fixed beforehand. This helps to reduce production downtime.

– Wearable technology

VR — Virtual reality headsets can help stakeholders to explore the 3D model design, and collaborative reviews can be sought.

AR — Augmented Reality glasses can be used for remote testing such as Factory acceptance testing.

– Biometric technology

It can be used for personnel authentication at various entry and exit points as well as for verifying e-signatures to meet compliance requirements and increase productivity.

– RFID technology

It can be used to track inventory and does away with sight access, and reads multiple tags at one go. It helps to manage the supply chain efficiently.

– Automated guided vehicles and automated storage and retrieval system

AGV and ASRS help to reduce labor costs, improve safety and surge accuracy and productivity. A strong network and infrastructure are needed to support both.

Post identification of technology needed; the next step is the system integration process as it is the key to the success of Pharma 4.0TM. All the above seems massive digitization for the organization, however, with the help of a well-designed roadmap and correct technologies and partners, Pharma 4.0TM can be incorporated efficiently in a phased manner.

Aventior specializes in providing AI and ML-backed technologies and services to help you implement Pharma 4.0TM smoothly in your organization. You can consult their experts for system integration, implementation of cloud-based technologies, and other services. For further details, please email us at info@aventior.com.

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Current Challenges in Fully Digitizing Manufacturing for Biotech and Cell and Gene Therapy Companies

Cell and gene therapy are emerging treatments for genetic diseases and cancers. No doubt that the biotech industry is growing exponentially at 30% CAGR. It is expected to reach around US$ 15bn by 2025. However, biotech companies that manufacture such CGT treatments still operate manually and face challenges such as unscalability, human judgement errors, irregular batch results, complex supply chain, irregularity at the patient and cellular level, cell expansion count, and the rigid programming time of the batch disposition process. All this leads to batch loss, contamination risk, low quality, variation in batch-to-batch results – these invariably increase the production cost and fail to meet the compliance guidelines.

How is Digitizing manufacturing processes beneficial?

Digitization is a crucial step to automatize CGT manufacturing processes. But digitization doesn’t only mean converting paper documents to digital records. The companies need to adopt an automated manufacturing process that is simple and agile, compliant with the FDA rules, and adhere to a shorter production timeline.

Artificial intelligence and machine learning technologies have a major role to play in the automation of CGT manufacturing. It helps in the following ways:

Cloud-based infrastructure that allows centralized storage platforms that can be accessed and analyzed on a real-time basis

Lower bar for the entry of developers

Data-driven decision making

Removal of manual handling of products to ensure zero contamination and improve the efficiency of cell-based products

Wrong handling of paperwork can lead to poor batch records, (EBR) Electronic Batch Recording system ensures zero error during the clinical trial

It speeds up the design of manufacturing batch records

It reduces any deviations from cGMP and follows all the regulations laid by FDA. It ensures faster approvals

Digitized data management can make the commercialized supply chain efficient and economical

Digitized processes reduce the timelines for clinical trials, registration, and market authorization

Automation ensures trials can be carried on even during any crisis or pandemic. The systems can operate online and still meet the delivery deadlines

Challenges faced due to the digitization of CGT and biotech manufacturing process

Any change in process is marred with challenges. The same applies to the biotech manufacturing processes.

Sourcing automation tools from various sources

CGT is produced on a small limited scale. To increase production, the companies will need to source more equipment from various vendors. However, for the vendors to supply automated and flexible integrations at low cost is often a hindrance. Hence the CGT therapies manufacturer settles for simple equipment customizations that can be used to enhance or modify a few specific needs. The requirement of personnel with board skill set is still high in this kind of set-up. Sourcing fully automated customized equipment with flexible product options is a challenge.

Limited documentation & traceability in lab-scale automation

CGT is still carried out in lab-setting on small scale. They are unable to provide required documents to meet cGMP guidelines like batch reports and continued process verification (CPV). So, in such cases, the data is entered manually which poses a data integrity risk and fails to meet CFR21 part 11 compliance.

Operation Systems are time-consuming

When we speak about scaling up the production, the supporting operations systems need to be strong. The operation systems like compliance, support set-up, security, business continuity, lifecycle management are all sourced from different vendors. Hence this often poses an operational burden for the on-site automation engineers.

Retraining & upskilling of Employees

Specific skillset is needed from the human counterpart to ensure smooth automation transition. Due to employee pushback attitude and lack of training, few technological tools are yet to be fully optimized

Way ahead

Digitization holds the key to transforming the entire biotech manufacturing process. The challenge is how to make the transition from small lab R&D to cGMP manufacturing smooth. Companies need to invest in developed automation solutions. This will help to restructure operations, adhere to compliance and enable in development of high-quality marketable products with cost efficacy.

About Aventior

Data restructuring, CPV, Digital pathology, Data engineering, and Visualization are the services offered by Aventior to various pharma, life science, and biotech companies. They provide robust technical support using AI-backed technology. To know more about their services and the solutions they provide, do write to info@aventior.com.

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Top 7 ways Digital is Transforming the Healthcare Industry

In recent times, we have seen that the healthcare sector has been evolving at a rapid pace. All thanks to the introduction of digital healthcare. We have moved from the traditional paper model to the digital model of healthcare. A few examples of digital transformation are Telemedicine, medical devices backed with Artificial Intelligence technology, and Electronic Health records.

Top Digital Transformations in the Healthcare Industry

The digital transformation has reshaped how we interact with health professionals, how the EHR is shared with providers and the precision with which treatment plan is made and executed.

Let’s have a glimpse of the 7 top Digital Transformations:

Healthcare through Telemedicine

People carry their world with them on their mobile. 77% of people in the US use mobile phones, and more than 50% of internet searches happen through mobile. This is where Telemedicine helps. It provides on-demand healthcare solutions to the people. They can look for healthcare professionals, hospitals, and medical facilities and also book appointments through Telemedicine. With the current Covid-19 pandemic, people prefer online consultations with their doctors through Telemedicine. Even patients staying in remote areas can have easy access to top-class healthcare.

Big Data for Pharma companies

Big Data is collected from various sources like a doctor visit, patient records, social media, products, services availed, and more. These data hold a mine of information useful for the healthcare industry.

Medication errors can be reduced or avoided through patient record analysis. The software will alert when any inconsistencies are noticed between the patient’s health and the medicines prescribed

Preventive care can be facilitated for patients who visit emergency rooms on regular basis. Preventive plans can be designed for such patients using big data

Big Data can help pharma companies to understand market dynamics. Accordingly, changes in the product, services offered can be designed/changed. It also helps in budgeting.

Usage of Virtual reality in healthcare

Virtual reality has taken the healthcare system to a new level. Doctors use stimulations created by virtual reality to hone their skills and to guide them through complicated surgeries. For autistic children, virtual reality headsets are been used for learning purposes. Pharma companies can use virtual reality techniques to engage with their customers and understand their requirements better. The best example is the usage of virtual reality to treat chronic pain, anxiety, stroke, and disorder due to post-traumatic stress.

Wearable Medical technology

People are taking measures to maintain their health and taking preventive measures for the same. There are various wearable devices available to safeguard one’s health. The most popular devices include:

Heart rate sensors

Exercise trackers

Blood sugar levels can be monitored using Sweat meters

The amount of oxygen level in blood can be measured using an Oximeter

Such type of wearable technology helps people to monitor their health on a real-time basis without scheduling physical tests regularly.

Genomics and gene therapy

The study of DNA – genomics has laid the way for cell and gene therapy. Though still in its clinical trial phase, gene therapy has shown promising outcomes to treat aliments due to genetic disorders, including cancer. It has the potential to offer tailor-made treatment for patients.

Artificial Intelligence backed technologies

The usage of AI technologies has been proven in precision medicine, digital imaging, drug discovery, CPV, and more. It has drastically reduced the processing time of data processing and the accuracy of reports is pristine. This also helps to reduce the time taken during the drug development process.

Blockchain EHR

Electronic health records are mainly in unstructured format and various types of technologies are used to convert them into a structured format. These records have details of patient’s health, their personal information, and such information is a gold mine for hackers. Blockchain is an effective tool to prevent any data breach. Blockchain also helps to manage data in such a manner that duplication of records and misdiagnosis are avoided. The reports are accurately maintained and can be easily retrieved. All this leads to cost savings for pharma companies.

Conclusion

The digital transformation looks promising. Despite the pace of development happening in the healthcare industry, a recent survey has shown that only 7% of pharmaceutical companies have taken the digital plunge as compared to 15% of companies in other industries. One main reason could be the cost involved. But soon the landscape will change, the pharma companies are realizing the one-time set-up cost can lead to huge benefits in the future. Digital transformation is set to create quality services and products to improve lives and revolutionize the healthcare system and grow their business by leaps and bounds.

Aventior caters to leading pharma, biotech, and diagnostics companies. They offer the best digital solutions and services to help companies go digital with a smooth transition from traditional to digital. The solutions offered include Data Restructuring and Analytics platform (DRIP), CPV – Auto, Digital pathology to name a few. To know more about them, write in at info@aventior.com.

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FHIR and Its Benefits for the Healthcare System

After the implementation of HL7, a standard framework for the exchange and integration of data sharing in the healthcare sector, a new standard is gaining popularity. FHIR is developed by Health Level Seven or HL7. What is it? Let’s have a look.

What is FHIR?

FHIR stands for Fast Healthcare Interoperability Resources. Created by HL7, it creates a data exchange standard for various medical software. Providing secure data exchange in the case of EMR, Diagnostic Data, PHI, and more, is the most popular and favored exchange for a variety of applications and software used in the medical field.

What does it achieve?

FHIR is good because it combines the features of HL7 with the latest web standards. Increased interoperability in the healthcare system is the major benefit i.e new information can be exchanged more securely between phone apps, electronic health records, on healthcare system’s servers, and many other places.

The primary goal of FHIR is to standardize and simplify the method through which healthcare data was exchanged before. Now, by using it, healthcare managers, service providers, and consumers will be able to share information in a trouble-free manner by any kind of software.

Cost-effective care is a major benefit derived from the use of FHIR. FHIR uses Application Programming Interfaces (APIs) to simplify the system integration module. It achieves a fast, easy, and better way to transmit ever-increasing medical data in the market. Lightweight and real-time data exchange are allowed through this protocol.

The major contribution of FHIR to the healthcare industry is –

Easy implementation

Lower bar for the entry of developers

Free to use

Out-of-box interoperability

Flexible due to the ability of adaptation in base resources

Strong foundation in Web Standards

How Does It Benefit the Healthcare Systems?

The main benefit of FHIR in the healthcare industry is that it will help the payers immensely. Due to the most up-to-date standard for the exchange of data, FHIR will allow the modification of the implementers leading to extensibility without violating the core standards. And there is no hassle during the actual exchange. Let’s have a look at major benefits that the healthcare sector can derive from FHIR-

Holistic Patient Experience

FHIR is empowering patients. Due to extreme simplicity in the implementation and integration of this protocol across a wide array of applications and software, patients will have control over their information and how they are going to share it with the healthcare provider. This will increase their faith in the industry and will allow them to make good decisions about their treatment.

Automated Data Structure Facility

When clinical support is asked for providers and professionals in the healthcare industry, automated data structuring plays a major role. A value-based approach is followed during the exchange of data between the service providers and consumers. With FHIR, better care management will be facilitated and holistic plus a trustworthy patient experience will lead to cost savings on both ends.

Improvement in Clinical Treatment

When healthcare providers will have easy access to EMR and patient-related information, it will lead to better conditions in treatment and improve the efficiency of the system. Patient data is the backbone of good treatment in the healthcare industry. Especially during the research and diagnosis of the reports, previous medical records and treatment history plays a major role. With the implementation of the FHIR and the rest of the web services, data sharing standards will allow safe and easy exchange of data which will lead to efficiency and fast data sharing.

Enhancement in Data Management

Real-time records will be available leading to improved data management. Data accuracy will be increased. Since, in real-time, data is derived from multiple sources across the globe from various platforms, systems, and software, it will add up to a large volume. Management of this whole data will require fast accessing and exchange across systems which is the core benefit of FHIR.

Specific FHIR for Specific Clinical Use

FHIR works on the unique identifier and uses APIs for integration. Healthcare systems will be better connected by the use of FHIR and it can be used for specific protocols in specific clinical use without disturbing the overall API of the system. Resources of FHIR can be used separately with different developers to create a link where accessing is easy and classified.

Easy Third-Party Integration

Each healthcare provider wants a separate system for their organization. They use a variety of third-party software as per their cost-effectiveness. The best thing about FHIR is that it works well with third-party apps and software and provides easy integration. So there is no need for specific software or systems. It works well with any kind of software.

Patient Benefits

FHIR is good for patients as it will allow them to track their medical records using any recommended healthcare app or software. They will get a clear-cut picture of their clinical data. For example, Apple’s Health app for iOS pulls the information of the patient from various EHRs and other health organizations using FHIR. Now, the patient can look into his/her data using the phone and have a full picture of the stats.

Conclusion

FHIR is the future of data interchange in the healthcare sector and by looking at various benefits for both the system provider and consumer (patients) we can say that the future is good. It will surely give a boost to the healthcare system and will help in making a holistic environment where better services are provided with safe and secure data exchange. For further inquiries, feel free to email at info@aventior.com.

[generalcomputerdetective]

Gyggs – An On-demand Platform

Opportunity

Mobile Application for part-time workforce management

Gyggs is an on-demand platform for small business owners, managers and part-time workers who reside in Massachusetts and surrounding states to post and apply for job opportunities. The platform allows small business owners from the service industry including, the hotel industry, laundry services, groceries, convenient stores, and liquor deliveries, to look for part-time workers who can work in shifts.

Approach

The mobile platform is designed as a native iOS and Android mobile application with persona and role-based design. Business owners can create a job requirement in the mobile platform. Those looking for opportunities can look for work opportunities by searching on the Gyggs platform. They can create their profile; to easily apply for the job in their desired location.

Impact

Easy access to find a professional through online location services

The mobile application can be leveraged by the business owners to publish a job opportunity or a gig to find the right professional. Professionals can easily search for gigs posted by business owners through location services. They can apply for these opportunities or gigs using their smartphones. The platform is easy to access and use by both parties – business owners as well as job seekers. It is designed to bring efficiencies and improve profitability for the service industry. The easy access and availability of professionals at the fingertips solve the challenges in the availability of labor.  This platform helps in creating wonderful opportunities for part-time employment with the flexibility of work hours/days. The business owner can enter the hours and time for which they need a professional. The professional can apply for the gig if they are happy with the time and close the deal.

Aventior has developed an easy-to-install and use platform for busy business owners and professionals. It is available globally on Android as well as on iOS for download. Users have to simply register on the platform and are ready to find the gig they would love to do.

Features of the Gyggs platform

Simple Onboarding – The onboarding process is simple and automated. The owner or manager can post their requirements, including the gig details, hours required, and the hourly rates of the gig.

Smart Matching – The algorithm checks for labor requirements mentioned by the business owners, and it is matched with the skills of the professional. The algorithm finds a suitable match, and the gig is displayed to the professional. The professional who accepts first will get the gig.

User Friendly – The platform is easy to use. It gives an awesome user experience.  

Full Automation – The platform is completely automated, and users can have a stress-free experience for onboarding, matching the right profiles, and pay settlements.

Popularity of the Gyggs Platform

The platform is live and is used by professionals and business owners and managers to hire part-time employees. The success of this platform is, it has a great user experience and its stress-free management of on-boarding and payment activities. The platform was initially open to users in Massachusetts; however, its popularity has led Aventior to cover the surrounding areas too. Aventior is moving in phases to make the platform available in other areas.

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Importance of Understanding HL7 and How it works in the Healthcare Sector

You must have heard about the HL7 term if you are in the healthcare sector. With the rise and up-gradation of technologies, especially in healthcare sectors, certain standards were formed for the safety and facilitation of data of patients. HL7 is the updated version of the international standard, which is used for providing guidance when healthcare providers share data.

HL7 refers to Health Level 7. Formed by Health Level Seven International which is a non-profit organization, it provides a comprehensive and well-structured framework for the exchange, integration, implementation, sharing, and retrieval of the health information of people. Supported by various bodies in the healthcare sector, HL7 has been implanted and accepted by more than 1600 members in more than 50 countries. Various government stakeholders, payers, pharmaceutical employees, companies, vendors, firms, healthcare service providers, and more are affected by this standard.

Let’s have a deeper look at HL7.

What is HL7 and how does it work?

In the digital age, everything is data, and everything is connected. Medical information is now being stored in digital files meaning data. When computer systems feed information of patients, there is a proper record and this might be used for patient tracking. Since the healthcare sector is very large, it needs to communicate with other systems and while receiving new information previous information needs to be retrieved. So HL7 lays down standards, methods, and a set of guidelines for healthcare systems to communicate with other systems. When these standards are met, the data can be shared and processed in an organized manner. These standards are used for easy sharing and minimizing the risk factors.

HL7 works on the application layer of systems following the OSI model of application designing. Let’s not jump into technical aspects and understand that these rules allow the safe exchange of data between different systems.

Components of HL7 Message Structure

Let’s talk about different elements of HL7 message structure, which is its major contribution over previous versions. HL7 messages are used for building communication between disparate healthcare systems. The main feature is that HL7 messages are formed in a human-readable format. ASCII code is used here. The major components are –

HL7 Segments

Each segment of the HL7 message is containing one particular section of information. For example, one segment will have patient information while the other will have his/her visit data. The first field of the segment will denote the name of the segment. In HL7 messages, more than 120 different segments are available.

HL7 Composites

Each segment in the HL7 message will contain composites also. Composites mean fields here. These are formed by primitive data types, for example, character string or number. Sometimes sub composites are also present. Characters like | (pipe), & (ampersand), and ^ are used to separate composites in the HL7 message.

Delimiter Characters

Certain special characters which are used for separating composites and segments are used in HL7 messages and these are called delimiters. Following default, characters are used-

           0x0D   Denotes segment end

           |           Composite Delimiter

           ^          Sub-composite Delimiter

           &         Sub-sub-composite Delimiter

           ~          Separates repeating segments

           \           Escape Delimiter

Why is it needed by Healthcare Sector?

An important question. Healthcare providers and specialists need to access data through multiple electronic systems to oversee the complete profile and medical history of the patient. This is easy for a local hospital but when a patient goes to a big hospital in another city, then retrieving information can become tricky. Since the data is being exchanged between two systems that are incorporated in two different areas, certain standards and rules need to be followed by both sides. Fast Healthcare Interoperability Resources (FHIR) comes into play here and this standard makes sure that messaging format HLv2 and others are exercised.

These standards act as a bridge through which healthcare systems and modern information technology can interact. Immersive data structure and digital technology allow the healthcare system to be efficient in providing good services.

Healthcare systems use tons of applications daily, like radiology, laboratory and patient administrative systems, MRI, and more. This data is constantly circulated among different systems for the proper working of healthcare systems. Communication and especially a protected and well-managed communication link becomes really important here. Visibility over data but in a protected way is an imminent need by healthcare and these HL7 standards will allow that to happen.

When data can be efficiently integrated across systems and exposed cohesively, it will reduce the risk of information failure and enhance the feasibility of healthcare workers and systems.

Benefits of HL7 Use

Using HL7 in EHR systems in healthcare will lead to the following benefits-

HL7 will help in creating a single, flexible, and worldwide set of standards that will control the exchange of clinical data.

Easy exchange of complex and private patient data such as records, lab reports, and test results through healthcare applications will be facilitated.

End-users will be able to interpret the data easily and it will smoothen the process of electronic data exchange.

Will improve the healthcare services across multiple networks due to integration of healthcare solutions.

HL7 will support almost all the healthcare systems around the world leading to better interoperability and healthcare-specific formatted messages

Conclusion

So we have seen that HL7 is the standard of the future and it is being used by almost all of the systems in the healthcare sector. Aventior is one such company that provides healthcare cloud services integrated with HL7 technology. Fastest customization using Salesforce-based EMR have HL7 and FHIR as core data architecture providing the most advanced benefits of this standard to all the transactions and data transfer. To know more, please feel free to write to us at info@aventior.com.

[generalcomputerdetective]

Revolutionizing Cell and Gene Therapy manufacturing

Cell and gene therapy has garnered a lot of interest due to its potential to treat Cancer. Apart from cancer, it has the potential to treat other diseases caused due to genetic disorders. Genetic diseases are where the main piece of or an entire section of DNA is deleted or duplicated. Such changes are known as genetic mutations and can also be passed on to future generations.

Being a part of the biomedical research field, cell and gene therapy targets to treat, cure, as well as prevent genetic and acquired disease. But both these works differently. In Cell therapy, cells are modified or altered outside the body and then injected into the patient’s body. In the case of gene therapy, new genes are introduced, or existing defective genes are replaced or inactivated within the cell. This therapy is done within the body or at times outside of the body.

Cell and gene therapy are been tested under clinical trials. Scientists are exploring the different aspects of the therapy, its efficiency, and the risk involved. A very small number of such trials have been approved. FDA approved the first cell and gene therapy product, which is by Kymriah (Novartis). The others include Yescarta (Gilead) and Zynteglo (Bluebird). Tecartus has been the latest therapy approved and can be used in the U.S.

The FDA believes that the gene therapy application will be doubled each year and as per the reports by 2025, the United States will approve 10 to 20 therapies every year. Cell and gene therapy is all set to revolutionize the healthcare system. We have seen large companies investing in the same.

From the lab to the Masses

These therapies are extremely expensive due to their labor-intensive manufacturing process and it is marred with challenges when it comes to commercialization. For the commercialization of cell and gene therapy, we need to consider regulatory guidelines, manufacturing, patient education, logistics, and more. Hence companies are looking to develop a safe manufacturing process, at the correct scale and affordable cost. In the case of this therapy “one size doesn’t fit all” unlike other therapies and products. They are complex that can be manufactured in various ways that use different vectors and cell lines.

Gene therapy Manufacturing

Gene and cell therapy manufacturing is a crucial aspect when we speak about the commercialization of the therapy. The viral vector capacity of manufacturing is 1 – 2 orders which is much lower than the requirements. The Covid-19 has dealt another blow to manufacturing as viral vectors are used for vaccine development programs as well. We would need to evaluate the current manufacturing process to revolutionize cell and gene therapy and make it commercially viable and available.

Evaluation of Manufacturing Process

Scalability

The manufacturing process needs raw materials, cell substrates, and process consumables. The amount of time required to source such material for manufacturing is crucial. As the product progresses through clinical trials and gradually to commercialization, the requirement for treatment increases. Hence forecasting the manufacturing scale is important during the process development stage.

Manufacturing options – in-house or outsourced

The manufacturing process depends on important factors like the cost involved, the skill requirement, and the time needed. Depending upon the above the companies need to decide if they want to manufacture using in-house facilities or outsourced. The capital needed to set up the manufacturing unit is huge. The skilled resources are presently few. Hence depending upon the scalability and to reduce cost, it will be viable to outsource the process.

Sterilized Manufacturing

The present sterile filtration methods are inadequate for gene therapy. The level of risk is greater for modified gene cell therapies so the pharma companies must check the aseptic control while producing viral vectors. A shift to automated processes to reduce operator handling will reduce the risk of contamination.

Reconsidering the Regulatory Framework

In the year 2020 FDA had stopped few clinical trials due to the high usage of AAV vectors for treatments. This proved to be a setback for therapy manufacturing. FDA has appointed more reviewers and has amended the regulatory framework, but they expect more data from developers to understand the gene therapy characteristics. Reconsidering the regulatory framework especially for gene therapy will be a major boost for manufacturing.

Logistics

The therapy needs stringent temperature controls and product security during transportation. Since the treatments are personalized, the timelines are crucial – the collection from patient to the manufacturing location and back to patient needs to be complete in strict timelines. Hence right from the packing to the mode of transport to active shipment, live tracking plays a vital role. The logistics must be planned with an excellent level of expertise for the commercialization of cell and gene therapy manufacturing.

Conclusion

Cell and gene therapy will soon become a reality and will overcome the manufacturing challenges. The heavy influx of investments, clinical success, swift product approvals, focus on improving resources for the manufacturing process, and supply chain have all fueled to revolutionize cell and gene therapy manufacturing.

About Aventior

Data restructuring, CPV, Digital pathology, Data engineering, and Visualization are the services offered by Aventior to various pharma, life science, and biotech companies. They provide robust technical support using AI-backed technology. To know more about their services and the solutions they provide, do write to info@aventior.com.