#Clinical data management software

[octalsoft]

4 Ways to Improve Clinical Data Quality in the Digital Era

The transition from paper to electronic data capture (EDC) in the clinical trial environment caused a shift in how we look at clinical data management (CDM) quality metrics. The paper world understood that the quality of clinical data obtained was just the quality of the transcription job teams did when transferring data from paper to a database.

The paper versus database Quality Control (QC) had a predetermined criterion for sampling of N+1 or 20 individuals, whichever was smaller, and a 100% QC of essential variables. 

Acceptable error rates were set at 0.5%, which was broadly accepted throughout the industry. 

These thresholds became obsolete when EDC enabled locations to submit data directly, eliminating the requirement for transcription. Nonetheless, it is the responsibility of data management teams to participate in several efforts to prepare data for acceptable analysis and submission.

The quality of the efforts that result in the development of data-collecting technologies and the scrubbing of collected data can have a direct influence on the quality of the data gathered. Thus, it is critical for organizations to consider managing the quality of the workstreams in which their teams participate, especially as we see increased streams of data being collected from various sources such as eSource, ePRO/eCOA, EMR/EHR, wearables, mHealth, and AI-based tools for adherence tracking, among others.

The old concept of an error rate is no longer an effective approach for managing quality expectations; rather, quality must be fostered as a habit or culture within data-handling teams. Teams must also use a qualitative approach to gauging quality rather than a quantitative effort of sample QA of the effort. The four treatment areas listed below should assist in building a quality culture:

1. Effective Review of Data Collection Tool (DCT) Design Specifications

Clinical trials are a form of "data collection." If we do not build the tool appropriately to gather data, we create a gap that cannot be filled, resulting in a pile-up of gaps with remedies, which results in teams putting in extra effort to assure data quality. 

Specs are generally evaluated, but how efficiently are we looking at the suitability of the design from the standpoint of the site for EDC and the patient for ePRO? Patient-centricity is highly valued in the United States, because of regulations such as the 21st Century Cures Act, which improves data quality.

As a result, we should consider more patient-centric data-collecting requirements that can encourage sites and patients to submit accurate answers to the questions on respective Case Report Forms (CRFs). A patient with muscular dystrophy, for example, might be more interested in analyzing how well he or she can do daily tasks or play with their grandkids rather than measuring a 6-step walking test that must be reported on a regular basis.

2. Integrations

Eliminating manual interventions in data gathering is seen as the way of the future, with systems that enable EHR/EMR interfaces playing a key role. By integrating wearables and the mHealth tool, the use of medical-grade devices to capture data directly from patients would allow calibrated data to flow into integrated EDC databases with few or no interventions.

Without the need for human engagement, AI-powered technologies may collect drug adherence data. Moreover, integrating eCOAs, Central Lab APIs, Medical coding, Imaging, and safety data flows with EDCs would aid in centralized data collecting with little manual involvement in data transfer from various sources. 

Utilizing EDC solutions in conjunction with supporting products such as eConsent, eCOA/ePRO, Imaging, Safety Gateway, and so on within the same architecture saves time and effort when setting up and monitoring integration. Overall, ensuring that the whole data flow requires minimum manual intervention might open up prospects for greater data quality.

3. Data Standardization

Automation of procedures for transforming obtained data to standards will improve both quality and efficiency. The approach begins with the development of CDISC-compliant eCRFs and ends with the implementation of standard mapping algorithms earlier in the project lifecycle than typical so that the SDTM needs during the study's execution are addressed smoothly and with increased quality. 

This contributes to the streamlining of downstream statistical programming needs, making them more efficient, accurate, and consistent across many data releases within the same research or throughout a program or portfolio of studies.

4. Training & Knowledge Sharing

We all know that less human interaction leads to higher quality since it decreases the possibility of error; nevertheless, designing automation and integration to meet the goals established is vital. All systems must be set up such that everyone engaged has a better, broader, and deeper awareness of the end-to-end process flow.

General and study-level training are now merely part of the onboarding process. Gaining thorough awareness through excellent training is critical to ensuring that teams produce "first-time quality." Training should concentrate on features of good study design that are developed from a combination of technical and clinical knowledge. 

An effective success measurement method for training and on-the-job mentoring programs might go a long way toward assuring data collecting quality. Companies should also support knowledge-sharing systems inside their infrastructure, allowing teams to build distinct learning communities.

In Summation

While adopting standard processes that comply with industry best practices is crucial to increasing clinical data collection and quality at your research organization, clinical trial efficiency is frequently only as good as the methods you choose to deploy. When it comes to data management, electronic data capture (EDC) solutions should support rather than discourage corporate best practices for data quality. The finest EDC systems are simple to use and straightforward for all staff members, lowering the possibility of error while reporting into the system.

Your EDC system should be safe, reduce inappropriate data acquisition, and allow you to export your data properly. Certain systems, such as Octalsoft EDC, have features such as edit checks, visit and timepoint tolerances, and conditional forms, which help to ensure the accuracy of your clinical data.

Need an effective and efficient EDC system?

To reduce redundant data entry and error, Octalsoft EDC allows customers to create custom forms, set up edit checks, and use forms across several protocols. Discover how Octalsoft EDC may help you streamline your data collection, management, and compliance. Start now!

[emorphistechno]

Healthcare Analytics Software Development enables accurate and timely data analysis for better clinical decision-making, saving lives & costs.

According to a recent survey, the healthcare sector produces immense quantities of data via electronic medical records (EMR), electronic health records (EHR), and health information exchange (HIE). Nonetheless, the difficulty arises in competently examining and leveraging this data to enhance decision-making and proficiently manage it. Healthcare analytics software development services provide an answer to these predicaments.

Healthcare analytics can also be integrated with telemedicine app development and can help various features in this type of heathcare app development 

[dacimasoftware]

Clinical Data Management Software

Clinical data management software is a crucial tool in modern healthcare, facilitating the collection, storage, and analysis of patient data for clinical trials and research. This software streamlines the process of data entry, ensuring accuracy and compliance with regulatory standards. It offers features such as electronic data capture, data cleaning, and validation, reducing manual errors and enhancing efficiency. Advanced functionalities enable real-time monitoring of study progress and data quality, improving decision-making and accelerating the drug development process. With its secure storage and retrieval capabilities, clinical data management software ensures confidentiality and integrity, contributing to the advancement of medical science and patient care.

[lilparks]

PappyJoe Clinic Management Software is now ranked as World’s Best, Easy to Use and The Second Biggest Doctor Software to manipulate Medical Practices. PappyJoe has grown to be the gorgeous amongst the Clinic Management Software Solutions reachable in the World and is getting into Hospital Management Software as well.

PappyJoe is luckily used with the useful resource of about 5,000+ Clinics, 10,000+ Doctors all through the globe and PappyJoe computer handles more than two Million+ Patient Appointments and more than two Million+ Medical Prescriptions on a Monthly basis.

[creativepromptsforwriting]

Hi, I love your blog it is SO helpful! <3 I am writing a fanfiction with original characters and I am struggling so badly trying to figure out what jobs these people would have (as extremely wealthy people) My brain always goes to like business man in the city, and that is SO broad and I can't think of what these jobs could be. Is there a chance you could make a list of jobs of any type really if it isn't too much? Thank you! :D

Hi and thank you, I'm happy it's helpful for you!

I actually have a list in my queue for the weekend that is a Workplace AU list. So places where people can work in AU stories. But I could also think about doing a whole job list. Since that AU list in coming up, I'm just going to leave a few suggestions for your specific case here for you:

High-paying jobs in the city:

Business + IT sector:

chief executive officer

chief marketing officer

chief information officer

project manager

sales manager

corporate counsel

software engineer

web developer

engineering manager

IT systems manager

data scientist

cloud engineer

analytics manager

Judicial branch:

judge

attorney

lawyer

corporate lawyer

Financial sector:

investment banker

broker

financial planning and analysis manager

Medical sector:

cardiologist

neurologist

psychiatrist

surgeon

dentist

orthodontist

anesthesiologists

clinical pharmacist

clinical director

- Jana

[octalsoft]

Clinical Data Management: What Are The Key Challenges And How To Navigate Them?

Formerly, clinical research institutions employed paper-based methods to record patient information. Clinical Data Management Systems, for example, are being developed to streamline the procedure. They are meant to improve the speed and quality of clinical research data collecting by utilizing electronic systems to save, manage, and store data.

What challenges do clinical data management systems currently face?

The volume of data to be handled is one of the most difficult challenges that clinical data management faces. With growing volumes of patient information being available, CDM software frequently struggles to keep up. Additionally, many CDM systems are neither user-friendly nor interactive, making it difficult for patients to get the most out of these systems.

Clinical data management is also confronted by:

Clinical Trial Complexity

The modern design of clinical trials necessitates real-time data modeling and simulation to provide reliable data that allows for faster judgments and reduces the time to develop expenses and research failures in the late stages. Many clinical trials are now considered adaptive, which means they may be changed throughout the trial and the information gained during the study is utilized to determine the next steps. Some therapeutic areas and settings, such as immuno-oncology and multi-arm investigations, are also complicating clinical trials.

The ability to adapt to changing conditions and needs is the future of clinical data management. A CDM system must be able to manage large amounts of data while also being user-friendly in order to be effective. It should also leverage Artificial Intelligence to assist in the automation of manual processes. Using an EDC in clinical data management can prove to be game-changing.

Mid-Study Changes

Clinical data management is a difficult task. It has many stakeholders, ranging from researchers to CROs and sponsors. This complicates CDM, particularly with relation to mid-study adjustments (MSCs). Changes in procedures and study management plans are examples of mid-study alterations (SDMPs). Mid-study changes might be caused by one or more of the following factors:

Modifications to the inclusion/exclusion criterion

An increase in the frequency or amount of medicine administration

New patient subpopulation exclusion/inclusion

New devices/therapeutic agents are either excluded or included.

Changes in the primary and secondary outcomes measures (SO).

According to a Tufts University survey, almost 70% of respondents felt that unanticipated mid-study alterations are the most major cause of trial delays. The planned adjustments are more difficult since they need substantial planning prior to implementation to ensure that they do not interrupt existing trials or other initiatives.

The essential revisions in the study offer a considerable challenge for CDM. The biggest cause of trial delays is unplanned mid-study adjustments. As a result, a system that can handle rapid mid-study adjustments and is incredibly simple to create and faster to adopt is required. Instead of requiring many systems to make modifications, the CDM system must be capable of processing all essential changes in a single location.

Does the role of clinical Data Managers change?

Clinical data management has advanced significantly in the last several years. What was once a minor division inside a research organization has turned into a highly specialized and critical responsibility. Before, clinical data managers were in responsible of cleansing and data input and quality control in clinical data management. When electronic data capture (EDC) became more common in the mid-1990s, the CDM's function shifted. The CDM was in responsible of building up and implementing the EDC systems, as well as producing and handling database queries.

Clinical data managers are now in responsible of establishing and implementing data management plans, ensuring completeness and correctness, and safeguarding data.

What is the future of clinical data management?

The future of healthcare data management is dependent on systems and regulations. There should be clear procedures on patient data ownership and information exchange among entities engaged in a research. It is also vital to standardize the formats used to record patient data and papers linked with studies. This eliminates any ambiguity regarding who holds the papers or information at any given time.

The future of data management is predicted to be increasingly automated, with more artificial machine learning and intelligence used to comb through data to discover patterns and trends across websites, patients, and studies, which can help speed up the drug development process. These new technologies will lead to a better knowledge of illnesses and improved patient outcomes, which will improve the accuracy and quality of the data even more.

To grasp the significance of the huge and expanding quantity of data being generated, CDM roles are already requiring expertise of analytics and data science. CDMs may need to be able to interact with machine learning and artificial intelligence systems in the near future to expedite data management duties and improve data quality.

Octalsoft is a forward-thinking firm that is always proposing creative methods to improve our settings, like Octalsoft's eClinical suite, to better enable mid-study adjustments. Choose a solution that can respond to mid-study adjustments at scale and has the functionality to lead your clinical data management efforts to set your research up for success.

Set up a Free Demo with one of Octalsoft's specialists now to see how our systems can increase the flexibility of your clinical trials and augment the efficiency of clinical trial data management.

[covid-safer-hotties]

Pain emerges as dominant symptom in long Covid, UCL study reveals - Published Aug 28, 2024

Pain may be the most prevalent and severe symptom reported by individuals with long Covid, according to a new study led by UCL (University College London) researchers.

The study, published in JRSM Open, analysed data from over 1,000 people in England and Wales who logged their symptoms on an app between November 2020 and March 2022.

Pain, including headache, joint pain and stomach pain, was the most common symptom, reported by 26.5% of participants.

The other most common symptoms were neuropsychological issues such as anxiety and depression (18.4%), fatigue (14.3%), and dyspnoea (shortness of breath) (7.4%). The analysis found that the intensity of symptoms, particularly pain, increased by 3.3% on average each month since initial registration.

The study also examined the impact of demographic factors on the severity of symptoms, revealing significant disparities among different groups. Older individuals were found to experience much higher symptom intensity, with those aged 68-77 reporting 32.8% more severe symptoms, and those aged 78-87 experiencing an 86% increase in symptom intensity compared to the 18-27 age group.

Gender differences were also pronounced, with women reporting 9.2% more intense symptoms, including pain, than men. Ethnicity further influenced symptom severity, as non-white individuals with long Covid reported 23.5% more intense symptoms, including pain, compared to white individuals.

The study also explored the relationship between education levels and symptom severity. Individuals with higher education qualifications (NVQ level 3, 4, and 5 – equivalent to A-levels or higher education) experienced significantly less severe symptoms, including pain, with reductions of 27.7%, 62.8%, and 44.7% for NVQ levels 3, 4 and 5 respectively, compared to those with lower education levels (NVQ level 1-2 – equivalent to GCSEs).

Socioeconomic status, as measured by the Index of Multiple Deprivation (IMD), also influenced symptom intensity. Participants from less deprived areas reported less intense symptoms than those from the most deprived areas. However, the number of symptoms did not significantly vary with socioeconomic status, suggesting that while deprivation may exacerbate symptom intensity, it does not necessarily lead to a broader range of symptoms.

Our study highlights pain as a predominant self-reported symptom in long Covid, but it also shows how demographic factors appear to play a significant role in symptom severity.

With ongoing occurrences of Covid-19 (e.g., LB.1, or D-FLiRT variants), the potential for more long Covid cases remains a pressing concern. Our findings can help shape targeted interventions and support strategies for those most at risk."

-Dr. David Sunkersing, Lead Author, UCL Institute of Health Informatics

In the paper, the researchers called for sustained support for long Covid clinics and the development of treatment strategies that prioritize pain management, alongside other prevalent symptoms like neuropsychological issues and fatigue.

Given the significant impact of demographic factors on symptom severity, the study underscored the need for healthcare policies that addressed these disparities, ensuring equitable care for all individuals affected by long Covid, the researchers said.

Study limitations included a lack of information on other health conditions participants may have had and a lack of information about health history. The researchers cautioned that the study may have excluded individuals with very severe Covid and those facing technological or socioeconomic barriers in accessing a smartphone app.

The study was led by the UCL Institute of Health Informatics and the Department of Primary Care and Population Health at UCL in collaboration with the software developer, Living With Ltd.

Source: University College London

Journal reference: Sunkersing, D., et al. (2024) Long COVID symptoms and demographic associations: A retrospective case series study using healthcare application data. Materials Today. doi.org/10.1177/20542704241274292. journals.sagepub.com/doi/10.1177/20542704241274292

[too-many-rooks]

Okay I need to know, out of all the Thomas Levin content you watched, which ones were worth watching?! I kind of want to check out Alfa

Ooh that’s a good question - I will add the disclaimer that I’ve absolutely not watched 100% of any of these shows (except for Alex Rider, which I’ve somehow watched 300% of,) I’m mostly just hunting for Levin scenes that could be interesting seen through the lens of Yassen - but there’s definitely some that have drawn me in more than others, there’s also a substantial amount I’ve only been able to find only in Danish, with Danish subs.

His episode of Unit One is pretty fun, and thanks to Mads Mikkelson fans, it’s fairly easy to find links on reddit to the episodes that will also have subtitle files you can important into a video player.

His episode of Taxa from when he was like 20 is on drtv, full Danish but is still quite fun to skip through to just see his scenes, it’s fairly easy to pick up on the context clues to follow the story.

His scenes in ‘Those who kill’ and ‘Strike Back’ are brilliant, but the shows are really hard to find and I had to buy them, so tricky. I might be able to isolate his scenes and share them, but not totally sure, my usual screen recording software doesn’t have sound .

These next ones were easier to find on streaming, at least in the uk, on Netflix or channel 4 has a lot of them -

Smother, bit meh, might give it a miss, but him being a dad to a teenager is quite cute.

Borgen can be interesting, very heavy on the politics - I didn’t dwell on this one much, as a lot of his scenes are either presenting the news, or in meetings discussing the news, but his character is an little shit in a fairly fun way.

Stockholm Requiem I got more into, and he’s a pretty central character who gets up to some interesting shit - it is *dark* however, and fairly heavy on the child murder.

Seaside hotel (gifs upcoming) is quite a fun show, though there’s some tonal disparity there, bc it’s basically a lighthearted show about people on holiday on the 1930s-40s, and he’s playing a Jewish man fleeing a Nazi work camp, but I enjoyed this show. He has a sweet little romance.

Baby fever is a really fun show - it’s a comedy about a woman who works at a fertility clinic and breaks into the sperm bank Levin manages when drunk and inseminates herself - there’s supposed to be another season soon (today, maybe?) which he’s also in, and I’ll definitely be checking out for gif making potential

Alfa/Grow is good - it’s another fairly dark crime drama that’s got multiple storylines converging together around the drug trade in Copenhagen, his story line is as a member of this secretive police unit acting as a mentor to one of the main characters, whose father was involved in the drug trade but has become a cop. An interesting role for him - he’s the dad of a teenager again, which I enjoy, and is a bit of an ass.

+I will say in my Levin studies, I’ve definitely noticed some typical archetypes he tends to fit into - full blown criminals who can and will murder you, assholes who are really good at their jobs (Yassen fits into the overlap there 😅) and a few, much rarer, genuinely nice guys trying their best. I might make some kinda Venn diagram to display this crucial data bc I do already have this info in a table, including important subcategories, like ‘beard?’ Or ‘dad?’ Just not totally sure how to present this information 😅😅

[bbmct]

Host Innovative Hemophilia Clinical Research At AIIMS Hospital Using BBMCT

Hemophilia, a genetic disorder characterized by the inability of the blood to clot properly, requires advanced clinical research to enhance patient outcomes. AIIMS Hospital, a premier healthcare institution in India, partners with British Biomedicine Clinical Trials (BBMCT) to bring cutting-edge hemophilia research to life. BBMCT is a trusted name in clinical trials, offering a comprehensive approach to improving hemophilia management through innovative research methodologies, collaboration, and automation tools. By leveraging BBMCT’s expertise, AIIMS Hospital becomes a center for pioneering treatments that can revolutionize hemophilia care and management in India and globally.

## Enhance Efficiency In Hemophilia Management

With BBMCT’s partnership, AIIMS Hospital can enhance the efficiency of hemophilia management. BBMCT utilizes state-of-the-art data analytics and automation tools that streamline clinical trial processes. These tools facilitate faster patient recruitment, real-time monitoring, and quicker adjustments to treatment protocols, ensuring that hemophilia patients receive the most effective and timely care. By optimizing resource allocation, reducing delays, and improving operational workflows, BBMCT supports AIIMS in offering high-quality care while maintaining research integrity. The result is a seamless experience for both researchers and patients, driving better outcomes and more efficient treatment options for hemophilia.

## Simplify Clinical Trials With BBMCT

Conducting clinical trials can be a complex and time-consuming process. BBMCT simplifies these trials at AIIMS Hospital by offering a structured and systematic approach. The use of advanced tools and software ensures that the entire process, from patient recruitment to data collection, is streamlined. BBMCT handles regulatory approvals, patient monitoring, and data analysis, reducing the administrative burden on the hospital staff. This allows AIIMS to focus more on patient care and less on the logistics of trial management. Simplification leads to faster trial phases, accelerating the development of new hemophilia treatments that can potentially change the lives of patients worldwide.

## Improve Patient Results Using Data

At the heart of any successful clinical trial is the ability to make data-driven decisions. BBMCT employs sophisticated data collection and analytics techniques to monitor patient progress closely. Through continuous real-time tracking, researchers at AIIMS Hospital gain insights into how patients are responding to treatments. This data-driven approach not only improves patient results but also enables researchers to make timely adjustments to treatment protocols, ensuring optimal care. By using AI-powered algorithms and data insights, BBMCT enables more personalized treatments for hemophilia patients, increasing the likelihood of better long-term outcomes and improving their quality of life.

## Reduce Costs Through Automation Tools

Clinical trials can be expensive, especially when dealing with complex conditions like hemophilia. BBMCT helps AIIMS Hospital significantly reduce the costs associated with clinical research through automation tools. Automation minimizes human errors and accelerates processes such as data entry, monitoring, and analysis. By streamlining routine tasks, BBMCT reduces the need for excessive manpower, allowing AIIMS to allocate resources more effectively. Additionally, automation ensures quicker turnarounds for regulatory approvals and compliance documentation, which shortens trial timelines and further cuts costs. This cost-saving approach makes clinical research more feasible, allowing AIIMS to continue innovating in hemophilia treatment without financial strain.

## Foster Collaboration In Clinical Research

Collaboration is a key factor in the success of clinical trials, and BBMCT plays a crucial role in fostering this at AIIMS Hospital. BBMCT connects multidisciplinary teams, researchers, and healthcare professionals from around the world, creating an environment of shared knowledge and expertise. This collaborative approach enhances the quality of clinical trials and accelerates the development of new treatments for hemophilia. By working with international research networks, AIIMS and BBMCT can implement best practices, exchange valuable insights, and overcome common challenges more effectively. Collaborative efforts lead to faster, more reliable results, ensuring that hemophilia patients receive innovative, evidence-based treatments.

## Accurately Track Project Milestones

Tracking project milestones is crucial for the timely and successful completion of clinical trials. BBMCT helps AIIMS Hospital monitor each stage of a clinical trial with precision. Through their advanced project management tools, BBMCT offers real-time tracking of patient recruitment, data collection, and outcome analysis. This ensures that researchers and clinicians at AIIMS can assess progress and make adjustments as necessary, avoiding delays or potential setbacks. By maintaining clear timelines and keeping all stakeholders informed, BBMCT ensures that hemophilia research at AIIMS progresses according to plan, leading to faster development of life-changing therapies.

## Optimize Treatment Protocols For Patients

In clinical trials, optimizing treatment protocols is key to achieving the best patient outcomes. BBMCT works closely with researchers and clinicians at AIIMS Hospital to refine and personalize treatment protocols for hemophilia patients. By analyzing patient data and adjusting protocols based on real-world feedback, BBMCT helps to ensure that patients receive the most effective treatments. The use of cutting-edge technology allows for continuous optimization, which enhances the overall success rate of clinical trials. This patient-centric approach improves both short-term and long-term results, offering hope for those suffering from hemophilia.

## Expedite Project Delivery At AIIMS

The pace at which clinical trials progress can significantly impact the development of new treatments. BBMCT accelerates project delivery at AIIMS Hospital by removing unnecessary delays and optimizing trial processes. With their expertise in project management, BBMCT ensures that trials run smoothly from start to finish. Real-time data tracking, automated systems, and streamlined patient recruitment processes all contribute to faster project timelines. By reducing delays in every phase, BBMCT helps AIIMS deliver innovative hemophilia treatments to the market more quickly, offering patients faster access to potentially life-saving therapies.

/media/b230a9141dead160b46e39e8c832f398

 — -

### Frequently Asked Questions (FAQs)

#### 1. What is BBMCT’s role in clinical research at AIIMS Hospital?

BBMCT partners with AIIMS Hospital to enhance clinical research, particularly in hemophilia treatment. They simplify the clinical trial process by using automation tools, advanced data analytics, and efficient project management systems. BBMCT supports AIIMS by ensuring faster patient recruitment, improving treatment protocols, and reducing costs. This collaboration allows for innovative research and the development of effective treatments for hemophilia, improving patient outcomes.

#### 2. How does BBMCT improve the efficiency of hemophilia management?

BBMCT enhances hemophilia management by integrating automation tools and data-driven insights into clinical research at AIIMS Hospital. These innovations streamline patient recruitment, reduce trial timelines, and ensure more effective treatments. Continuous monitoring and data analytics allow for real-time adjustments, improving patient outcomes and ensuring that hemophilia management remains efficient, personalized, and aligned with the latest scientific advancements.

#### 3. Can BBMCT help reduce costs in clinical trials?

Yes, BBMCT plays a significant role in reducing the costs of clinical trials. By using automation tools, BBMCT minimizes human errors and accelerates various processes, such as data collection and monitoring. This reduces the need for excessive manpower, cuts down on trial duration, and enhances operational efficiency. As a result, AIIMS Hospital can conduct high-quality clinical trials while keeping costs under control.

#### 4. How does BBMCT foster collaboration in clinical research?

BBMCT fosters collaboration by connecting AIIMS Hospital with global research networks, multidisciplinary teams, and international experts. Through shared knowledge and expertise, the clinical trial process becomes more efficient, and best practices are implemented. This collaborative approach helps researchers solve challenges faster and results in more reliable clinical outcomes, ensuring innovative and high-quality treatments for hemophilia patients.

#### 5. How does BBMCT optimize treatment protocols for hemophilia patients?

BBMCT optimizes treatment protocols by leveraging real-time patient data and analytics. By continuously monitoring patient progress, BBMCT helps adjust treatment protocols to maximize efficacy. Their data-driven approach ensures that treatment is personalized, ensuring better short-term and long-term outcomes for hemophilia patients. This ensures that clinical trials at AIIMS Hospital focus on delivering the best possible care tailored to each patient’s unique needs.

 — -

### Conclusion

In conclusion, the partnership between BBMCT and AIIMS Hospital is transforming hemophilia clinical research. By combining innovative technology, data-driven insights, and collaborative efforts, BBMCT is accelerating the development of more effective treatments. This collaboration enhances efficiency in clinical trial management, reduces costs, and ensures better patient outcomes through personalized treatment protocols. As a result, hemophilia patients at AIIMS benefit from cutting-edge care that is both timely and cost-effective. With BBMCT’s support, AIIMS Hospital remains at the forefront of hemophilia research, driving global advancements in the treatment of this challenging condition. For more information, visit [www.bbmclinicaltrials.com] or call +91–9968193009 to learn more about how BBMCT is making a difference in clinical trials.

Please Like, Share and Subscribe British Biomedicine Clinical trials (BBMCT) Youtube channel

Thank you for reading! If you found this information helpful, please **like**, **share**, and **subscribe** to the **British Biomedicine Clinical Trials (BBMCT)** YouTube channel for more updates on cutting-edge clinical research, advanced treatments, and industry insights. Stay connected with us to learn more about how we’re transforming healthcare through innovative clinical trials. For detailed information on our services and research, visit our website at [www.bbmclinicaltrials.com] or call us directly at **+91–9968193009**. Don’t miss out on the latest advancements in clinical trials — subscribe today!

[medical-health-care-software]

JVS-DiComPlus: Revolutionizing DICOM Case Management

In the bustling world of cardiology, every heartbeat counts. For a cardiologist, the ability to access and analyze past cases is crucial—not just for learning and improvement, but for saving lives. Yet, with the growing complexity of cases, managing an ever-expanding collection of DICOM CDs can become a cumbersome task. That’s where JVS-DiComPlus

Imagine Dr. Mehta, a seasoned interventional cardiologist, who has spent years compiling an extensive library of DICOM cases. His collection, stored across dozens of CDs, represents a lifetime of learning, breakthroughs, and patient stories. But as the collection grows, so does the challenge of organizing, retrieving, and utilizing this critical data. Time spent searching for the right CD is time lost, and converting DICOM files into formats for presentations is an additional burden.

Enter JVS-DiComPlus—the world’s first plug-and-play custom DICOM case storage device. With a simple connection to his computer, Dr. Mehta can access a sleek, intuitive interface that instantly transforms his approach to case management. No more rifling through stacks of CDs or worrying about compatibility issues. The device’s pre-installed, Windows-compatible software allows him to store up to 5,000 cases on a single 2TB drive, all easily searchable with ultra-fast speed.

But it doesn’t stop there. JVS-DiComPlus goes beyond storage, offering powerful tools that enable Dr. Mehta to play back cine sequences, zoom into images, and export DICOM files into JPEG or AVI formats with a single click. Whether preparing for a high-stakes presentation or simply reviewing a past procedure, the device’s advanced image management features save him time and effort.

In just a few weeks of using JVS-DiComPlus, Dr. Mehta notices a transformation in his workflow. He’s more organized, more efficient, and more confident in his ability to retrieve and present his work. His cases are no longer just stored—they’re at his fingertips, ready to be used for teaching, learning, and making a difference in the lives of his patients.JVS-DiComPlus isn’t just a storage device; it’s a revolution in DICOM case management. For Dr. Mehta and countless other cardiologists, it’s the key to unlocking the full potential of their clinical data—quickly, efficiently, and effortlessly.

[lilparks]

With ‘PAPPYJOE DENTAL PRACTICE MANAGEMENT SOFTWARE‘ the day to day functioning of your health facility has been made so effortless that you can time table your Appointments very easy. Storing and Retrieval of all affected person associated records, like personal, Diagnosis, Treatment, Prescription, Payment and so on have been made very easy. You can additionally take reviews about your exercise and analyze how is your practice is growing.

[chatgptdetector]

The Top 10 Jobs in Canada for 2024

Canada, with its picturesque landscapes, diverse culture, and robust economy, continues to attract individuals from around the world seeking new opportunities and a higher quality of life. As we step into 2024, the Canadian job market is brimming with exciting prospects across various industries. Whether you're a recent graduate, a seasoned professional, or an immigrant looking to build a career in the Great White North, here are the top 10 jobs in Canada that should be on your radar.

Software Developer: With the technology sector experiencing exponential growth, software developers are in high demand. From cutting-edge startups to established corporations, Canada's tech industry offers a plethora of opportunities for those with coding expertise.

Healthcare Professionals: The healthcare sector in Canada is perennially in need of skilled professionals, including nurses, doctors, and allied health workers. The aging population has led to a surge in demand for healthcare services, making it an excellent field for those looking to make a meaningful impact.

Construction Project Manager: As infrastructure projects continue to dot the Canadian landscape, the demand for construction project managers is on the rise. This role involves overseeing the planning, execution, and completion of construction projects, making it a key player in the nation's development.

Data Scientist: In an era driven by data, the role of a data scientist is crucial across various industries, including finance, healthcare, and e-commerce. Analyzing and interpreting large datasets, data scientists contribute valuable insights to guide decision-making processes.

Electrician: Skilled trades, such as electricians, are essential for maintaining and expanding Canada's infrastructure. From residential wiring to large-scale industrial projects, electricians play a pivotal role in ensuring the smooth functioning of the country's electrical systems.

Marketing Specialist: As businesses vie for consumer attention, the demand for marketing specialists continues to soar. Whether it's digital marketing, content creation, or market research, individuals with a flair for promoting products and services are sought after in the Canadian job market.

Registered Nurse: With an aging population, there's a growing need for compassionate and qualified nurses. Registered nurses are integral to the healthcare system, providing essential care and support to patients in hospitals, clinics, and long-term care facilities.

Mechanical Engineer: From designing innovative machinery to optimizing existing systems, mechanical engineers contribute significantly to Canada's industrial landscape. Industries such as manufacturing, automotive, and aerospace rely on the expertise of mechanical engineers to drive innovation.

Financial Advisor: Canadians are increasingly recognizing the importance of financial planning, leading to a surge in demand for financial advisors. Helping individuals and businesses make informed decisions about their finances, financial advisors play a crucial role in ensuring financial well-being.

Environmental Scientist: With a growing emphasis on sustainability, environmental scientists are in demand to address ecological challenges. From assessing environmental impact to developing conservation strategies, these professionals contribute to Canada's commitment to a greener future.

Conclusion:

As Canada continues to thrive on its commitment to diversity, innovation, and progress, the job market reflects these values with a wide array of opportunities. Whether you're drawn to the tech hub of Toronto, the vibrant culture of Vancouver, or the economic powerhouse of Calgary, these top 10 jobs offer a glimpse into the diverse career landscape that Canada has to offer. So, whether you're a local job seeker or an international talent looking to make Canada your home, these professions could be your stepping stones to a fulfilling and prosperous future.

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Open-Source Platform Cuts Costs for Running AI - Technology Org

New Post has been published on https://thedigitalinsider.com/open-source-platform-cuts-costs-for-running-ai-technology-org/

Open-Source Platform Cuts Costs for Running AI - Technology Org

Cornell researchers have released a new, open-source platform called Cascade that can run artificial intelligence (AI) models in a way that slashes expenses and energy costs while dramatically improving performance.

Artificial intelligence hardware – artistic interpretation. Image credit: Alius Noreika, created with AI Image Creator

Cascade is designed for settings like smart traffic intersections, medical diagnostics, equipment servicing using augmented reality, digital agriculture, smart power grids and automatic product inspection during manufacturing – situations where AI models must react within a fraction of a second. It is already in use by College of Veterinary Medicine researchers monitoring cows for risk of mastitis.

With the rise of AI, many companies are eager to leverage new capabilities but worried about the associated computing costs and the risks of sharing private data with AI companies or sending sensitive information into the cloud – far-off servers accessed through the internet.

Also, today’s AI models are slow, limiting their use in settings where data must be transferred back and forth or the model is controlling an automated system. 

A team led by Ken Birman, professor of computer science in the Cornell Ann S. Bowers College of Computing and Information Science, combined several innovations to address these concerns.

Birman partnered with Weijia Song, a senior research associate, to develop an edge computing system they named Cascade. Edge computing is an approach that places the computation and data storage closer to the sources of data, protecting sensitive information. Song’s “zero copy” edge computing design minimizes data movement.

The AI models don’t have to wait to fetch data when reacting to an event, which enables faster responses, the researchers said.

“Cascade enables users to put machine learning and data fusion really close to the edge of the internet, so artificially intelligent actions can occur instantly,” Birman said. “This contrasts with standard cloud computing approaches, where the frequent movement of data from machine to machine forces those same AIs to wait, resulting in long delays perceptible to the user.” 

Cascade is giving impressive results, with most programs running two to 10 times faster than cloud-based applications, and some computer vision tasks speeding up by factors of 20 or more. Larger AI models see the most benefit.

Moreover, the approach is easy to use: “Cascade often requires no changes at all to the AI software,” Birman said.

Alicia Yang, a doctoral student in the field of computer science, was one of several student researchers in the effort. She developed Navigator, a memory manager and task scheduler for AI workflows that further boosts performance.

“Navigator really pays off when a number of applications need to share expensive hardware,” Yang said. “Compared to cloud-based approaches, Navigator accomplishes the same work in less time and uses the hardware far more efficiently.”

In CVM, Parminder Basran, associate research professor of medical oncology in the Department of Clinical Sciences, and Matthias Wieland, Ph.D. ’21, assistant professor in the Department of Population Medicine and Diagnostic Sciences, are using Cascade to monitor dairy cows for signs of increased mastitis – a common infection in the mammary gland that reduces milk production.

By imaging the udders of thousands of cows during each milking session and comparing the new photos to those from past milkings, an AI model running on Cascade identifies dry skin, open lesions, rough teat ends and other changes that may signal disease. If early symptoms are detected, cows could be subjected to a medicinal rinse at the milking station to potentially head off a full-blown infection.

Thiago Garrett, a visiting researcher from the University of Oslo, used Cascade to build a prototype “smart traffic intersection.”

His solution tracks crowded settings packed with people, cars, bicycles and other objects, anticipates possible collisions and warns of risks – within milliseconds after images are captured. When he ran the same AI model on a cloud computing infrastructure, it took seconds to sense possible accidents, far too late to sound a warning.

With the new open-source release, Birman’s group hopes other researchers will explore possible uses for Cascade, making AI applications more widely accessible.

“Our goal is to see it used,” Birman said. “Our Cornell effort is supported by the government and many companies. This open-source release will allow the public to benefit from what we created.”

Source: Cornell University

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Clinical SAS programming A complete guide

Introduction

Clinical SAS programming is a specialized field that utilizes the SAS programming language to handle the vast and complex data generated in clinical trials. SAS, a statistical software package, is extensively employed by pharmaceutical and biotechnology companies for its robust data management, analysis, and reporting capabilities.

In terms of data management, SAS is used to clean, transform, and manage large datasets, ensuring they are organized and ready for analysis. This is a critical step in clinical trials, where large volumes of data are collected and need to be processed efficiently.

For analysis, SAS can perform a wide range of statistical analyses, including descriptive statistics, inferential statistics, regression analysis, survival analysis, and analysis of variance (ANOVA). These analyses are crucial in interpreting the data collected in clinical trials and drawing meaningful conclusions.

Finally, Clinical SAS programming is also used for reporting. It can generate various reports, including integrated summaries of safety and efficacy (ISS/ISE), clinical study reports (CSRs), and other regulatory documents. These reports are essential for communicating the results of clinical trials to regulatory authorities, medical professionals, and the public.

SAS in Clinical Domain

Data Management: SAS is used to clean, transform, and manage clinical trial data. It can handle large datasets and perform data validation, data integration from different sources.

Statistical Analysis: SAS is used for statistical analyses, such as descriptive statistics, inferential statistics, regression analysis, survival analysis, and analysis of variance (ANOVA). These analyses help researchers and clinicians to draw conclusions from clinical trial data.

Data Validation: Checking the accuracy, consistency, and completeness of clinical trial data by performing data validation checks, identifying discrepancies, and resolving data-related issues.

Safety Reporting: Generating safety reports and listings to monitor adverse events and safety data during the trial.

SDTM (Standard Data Tabulation Model) Conversion: Converting clinical trial data into SDTM format, which is a standardized data model for regulatory submission.

ADaM (Analysis Data Model) Implementation: Creating ADaM datasets, which are analysis-ready datasets used for statistical analysis.

Report Generation: Preparing clinical trial reports, including integrated summaries of safety and efficacy (ISS/ISE), clinical study reports (CSRs), and other regulatory documents.

Data Quality Control: Implementing quality control procedures to ensure the accuracy and reliability of analysis results.

Data Visualization: Creating data visualizations, such as graphs and plots, useful for data exploration and presentation of result.

Automation: Creating SAS macros to streamline and automate repetitive tasks and improve programming efficiency.

Medical Coding: Performing medical coding of adverse events, concomitant medications, and medical history terms using standardized dictionaries like MedDRA (Medical Dictionary for Regulatory Activities) and WHO Drug.

Career in Clinical SAS

A career in Clinical SAS programming is rewarding and offers a wide range of opportunities. The SAS Academy for Clinical Programming offers a comprehensive training program that prepares you to work as a SAS Certified Clinical Trials Programming Professional. The combination of coursework and hands-on learning helps you build a foundation of clinical research theory and data analysis skills.

Conclusion

Clinical SAS programming is indeed a vital skill in the pharmaceutical and biotechnology industries. With a solid foundation in SAS programming and a comprehensive understanding of clinical trials, you can pave the way for a successful career in this field.

Whether you’re a biostatistician, a clinical SAS programmer, or someone interested in the field, learning Clinical SAS programming can open doors to a plethora of opportunities. It’s not just about job prospects; it’s about contributing to the advancement of medical research and the development of new treatments and therapies.

In conclusion, mastering Clinical SAS programming is not only professionally rewarding but also offers the chance to make a significant impact in the healthcare industry.

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Choosing the Right Veterinary Equipment: Factors to Consider

Providing optimal care for animals requires the use of appropriate veterinary equipment. The selection of veterinary equipment plays a crucial role in the diagnosis, treatment, and overall well-being of our furry patients. However, with a wide array of options available on the market, choosing the right equipment can be a daunting task for veterinarians and clinic owners. In this blog post, we will explore key factors to consider when selecting veterinary equipment, ensuring that you make informed decisions that benefit both your patients and your practice.

Purpose and Functionality

Before investing in any veterinary equipment, it is essential to understand its purpose and functionality. Assess your clinic's specific needs and consider the equipment's intended use. Whether it's diagnostic tools, surgical instruments, or monitoring devices, each piece of equipment should serve a specific function in your practice. For example, if you frequently perform orthopedic surgeries, investing in high-quality surgical instruments designed for such procedures is crucial.

Quality and Durability

Quality and durability are paramount when it comes to veterinary equipment. Opting for reliable and durable equipment ensures longevity, minimizing the need for frequent repairs or replacements. Look for reputable manufacturers or suppliers known for their commitment to producing high-quality products. Read reviews, seek recommendations from colleagues, and consider the warranties and after-sales support offered.

Cost-effectiveness

While quality is important, it is also crucial to strike a balance between quality and cost-effectiveness. Veterinary equipment can vary significantly in price, and it's important to consider your budget without compromising on the necessary quality. Evaluate the cost of equipment in relation to its expected lifespan, maintenance requirements, and potential return on investment. Sometimes, paying a higher upfront cost for a durable piece of equipment can be more cost-effective in the long run, reducing overall maintenance and replacement expenses.

Ease of Use and Training

Consider the ease of use and the learning curve associated with the equipment. Will your staff require extensive training to operate the equipment effectively? Look for equipment that comes with user-friendly interfaces, intuitive controls, and clear instructions. Additionally, consider the availability of training resources, such as user manuals, online tutorials, or manufacturer support, to ensure your team can utilize the equipment efficiently.

Compatibility and Integration

In today's digital age, seamless integration and compatibility with existing systems are important considerations. Ensure that the equipment you choose can integrate with your practice management software, electronic health records, or other diagnostic tools. This integration streamlines workflows, enhances data management, and facilitates seamless communication between different systems, saving time and reducing errors.

Size and Portability

The size and portability of veterinary equipment should align with your clinic's physical space and operational needs. If you have limited space, compact and space-saving equipment may be preferable. On the other hand, if you provide mobile veterinary services or have a need for equipment that can be easily transported, consider the portability and weight of the equipment.

Safety and Compliance

Safety is paramount in veterinary practice. Ensure that the equipment meets all safety standards and regulatory requirements. Look for certifications or compliance markings that guarantee adherence to safety guidelines. Pay attention to features such as built-in safety mechanisms, ergonomic designs, and measures to prevent cross-contamination.

Technical Support and Maintenance

Consider the availability of technical support and maintenance services for the equipment you choose. Prompt and reliable technical support ensures that any technical issues can be addressed efficiently, minimizing downtime. Additionally, inquire about maintenance requirements, such as routine calibration, cleaning, or servicing, and assess whether you have the resources or access to service providers for proper maintenance.

Feedback and Recommendations

Seek feedback and recommendations from fellow veterinarians or professionals in the field. Connect with professional networks, attend conferences, or participate in online forums to gather insights and learn from others' experiences. Their firsthand experiences and recommendations can provide valuable guidance in selecting the right equipment for your practice.

Conclusion

Choosing the right veterinary equipment is a crucial decision that directly impacts the quality of care provided to animals. By considering factors such as purpose and functionality, quality and durability, cost-effectiveness, ease of use and training, compatibility and integration, size and portability, safety and compliance, technical support and maintenance, and seeking feedback and recommendations, you can make informed choices that align with your clinic's needs and goals.

Original Source: https://petliftsupply.com/blogs/news/choosing-the-right-veterinary-equipment-factors-to-consider