#free phr software

[75health]

Among several advantages of health information exchange, patient safety is considered the most important one. Access to patients’ critical health information through technology-enabled, enhanced Personal Health Record Software(PHR) provides a comprehensive clinical picture about them. Right information at the right time ensures improved patient safety.

[blogwm11]

Casamba Home Health Software Free Download For Mac

Casamba, a provider of electronic health record software in Agoura Hills, has partnered with MobileHelp Healthcare of Boca Raton, Fla., to offer home health agencies a platform for remote patient monitoring.

Casamba Smart Net Download

Casamba Home Health software, free download For Macbook Pro

Personal Health Record - ClarusPHR is an app that you can use to record, track and manage your health information. Clarus PHR helps you get organized as you are able to track your vital signs, medications, and immunization as well as visits to doctors. The software ranges from public health to dental management, from medical practice management, to imaging and more., Mac, mobile devices, or even a command line. From home, running a.

About Casamba Home & Hospice. Casamba Home & Hospice, the clinician-optimized EMR, helps users efficiently manage critical clinical and administrative processes. It improves communication and compliance using a single, integrated medical record across the healthcare continuum - home health, hospice, private duty, and palliative care. Customers who saw the software loved it, staying with us as we grew and added solutions for Home Health Software, Pediatric Homecare Software, Hospice Software, Private Duty Software, and all areas of the home health industry. Our company is dedicated to expanding our portfolio of Home Care solutions to meet the diverse needs of our customers. So far, the casamba is the most non- professional software with inappropriate content which is made only to try to suck money from the insurance companies. It is a huge pain to the therapist to spend around 30 minutes to type one PT eval rather than spending that precious time on the patient care.

Casamba will add the remote monitoring to its clinical offerings in anticipation of a new value-based reimbursement model from the Centers for Medicare and Medicaid Services, scheduled to go into effect in late 2019 and early 2020.

The remote platform will capture blood pressure readings, as well as weight, pulse and blood glucose levels, allowing home health agencies to better manage a patient’s health between visits. Technology from MobileHelp will allow clients to manage a spectrum of patients grouped by health diagnosis on one dashboard, instead of managing multiple online applications.

“Our partnership with MobileHelp Healthcare is another highly-differentiated way we can support our existing and new clients,” said Luis Montes, senior vice president of strategic partnerships for Casamba.

Our fully interoperable web-based EHR platform navigates the care continuum with unparalleled confidence, so you can see the full picture and treat the whole patient — no matter where you are.

Learn how providers today are using MEDITECH Expanse to transform care in ways they couldn't, just a short time ago.

Casamba Smart Net Download

MEDITECH Provides Guidance for Coronavirus

We're all in this together. We're sharing our latest updates and strategies for managing the current COVID-19 pandemic, along with those from our customer community.

MEDITECH Customers Named CHIME's Most Wired

Casamba Home Health software, free download For Macbook Pro

MEDITECH customers were recently named to the Digital Health Most Wired list by the College of Healthcare Information Management Executives (CHIME) for optimal technology use.

Introducing Expanse Oncology: The next evolution of Expanse

Now, you can care for cancer patients more efficiently. This natural extension of our successful Oncology product is a complete outpatient solution that includes the personalization and mobility of Expanse's web-based physician tools. Clinicians benefit from embedded decision support as well as expert-based templates and protocols from gold-standard industry resources. From diagnosis to survivorship, Expanse Oncology automates both practice and scheduling workflows to ensure a positive patient experience.

Meet your new assistant.

Announcing the newest tool in our growing toolset for physicians: Expanse Virtual Assistant. Developed in collaboration with Nuance and powered by the same advanced AI you use on your personal devices, Expanse Virtual Assistant works just like you’d expect it to. Now when you need something from your EHR all you have to do is ask.

No appointment needed, just a connection.

Introducing MEDITECH’s Virtual On Demand Care solution, for those times when medical care can’t wait. Whether it’s for an existing patient seeking another avenue of care, or a new patient who needs immediate attention, our Virtual On Demand Care solution is there. Virtual On Demand Care improves access to care, eliminates travel, and lowers visit costs for patients, while creating new revenue opportunities for your organization.

A clinically sophisticated EHR at a reasonable cost

Keeping the cost of healthcare affordable while maintaining the highest standard of care can feel like a balancing act. Tip the scales in your favor with a long term solution that will grow with your organization and empower your staff without breaking the bank. How will you invest the money you save?

Maximize your ROI by getting the most from your Expanse EHR

Connect with resources that know our software inside and out. MEDITECH Professional Services offers a more personalized approach to implementing your Expanse EHR, for optimum performance.

MEDITECH market share expands with Expanse

Industry research firm KLAS reports that MEDITECH was one of only two vendors, the other being Epic, that saw significant market share growth in 2019. According to KLAS, the Expanse platform is drawing interest and purchases from organizations outside MEDITECH’s legacy customer bases.

Innovation, Realized

Innovation is more than a promise for the future — it's right here, ready to be unlocked in your EHR. Read our case studies to see how our customers are improving outcomes with real results.

[emedpharmatech]

EHR/EMR Software Development Company | EMed HealthTech

Get easy and real-time online access to clinical data, patient data, and vitals with customizable EHR/EMR/PHR software developed by EMed HealthTech. Our highly experienced healthcare IT team builds HIPAA-compliant EMR/EHR/PM systems for multiple locations, users, and provider practices. We build cloud-based EHR solutions, that are tailored to automate workflows, reduce costs, and decrease run-time errors. They can be securely integrated with healthcare systems. So healthcare professionals can perform their routine and specific tasks in a convenient way. Request a free quote from us for custom software development.

[emedhealthtech]

Get easy and real-time online access to clinical data, patient data, and vitals with customizable EHR/EMR/PHR software developed by EMed HealthTech. Our highly experienced healthcare IT team builds HIPAA-compliant EMR/EHR/PM systems for multiple locations, users, and provider practices. We build cloud-based EHR solutions, that are tailored to automate workflows, reduce costs, and decrease run-time errors. They can be securely integrated with healthcare systems. So healthcare professionals can perform their routine and specific tasks in a convenient way. Request a free quote from us for custom software development.

[medimobile]

Best Medical Billing Software Systems for Hospitals in 2023

Medical billing software facilitates the automation of the healthcare billing process for physicians and medical offices. Improved reimbursement rates, increased revenue, and the establishment of a viable medical practice can all be achieved by selecting the appropriate computer application to meet your requirements.

Understanding your medical office’s requirements is the first step in selecting the best medical billing software. From there, select software that makes it easier to set up appointments automatically enters patient information when the doctor sees them, and has scrubbing features to help you get insurance companies to accept you. With reports and analytics, top software makes it simple to get an overview of your medical practice’s health.

To assist you in selecting the Medical Billing System Software that is most suitable for your needs, we looked at the most effective products currently available.

Obtaining a free demo or trial of a medical billing software platform is essential before making a decision. This lets you see how the system will interact with your medical practice in detail. Choose an option that enables you to manage your entire medical practice from a single portal by looking for integrated features that do more than just medical billing. This makes your office tasks easier to do and makes it easier to do the things you need to do every day to make and keep appointments, put notes in records, and stay in compliance with privacy laws.

Medical billing software makes it easier for doctors and their staff to get paid for their work; It aids in ensuring that medical professionals adhere to privacy regulations. In general, it speeds up the process in a safe and secure portal.

In an open clinical charging framework, the well-being records of patients go past the limits of solitary practice. Patients, providers, healthcare organizations, billing teams, and third-party vendors — all of whom are significant stakeholders in the industry — have access to this data. Through electronic health records (EHRs), information about a patient’s healthcare is sent to various system divisions. EHR gives a lot bigger scope information chart than EMR. It is moreover not restricted to the furthest reaches of a particular practice, as it will in general be noticed and modified by the patient and a couple of clinical benefits specialists.

isolated medical billing system Despite the fact that isolated medical billing systems typically do not participate in medical billing structures, they can be extremely beneficial to healthcare providers. Patients, not healthcare providers or organizations, use their personal health records (PHRs) to manage their medical billing systems Patients can update these records, keep them up to date, and consult them whenever they want. Patients can also get help maintaining their PHRs with software tools.

[digitalniran8]

Visiting Hospital is easier using My Health Records

Visiting Hospital is easier using My Health Records

A sick person's emergency clinic visit is expanding consistently and overseeing sick person information becomes muddled as records are made for each new visit. A total record of a sick person can't be found in the medical clinic each time in light of the fact that putting away actual documents takes visits, extra space and cash.

Present day medical care IT apparatuses gather the data and put it electronically into the sick person profile. My Health Records assists with dealing with your wellbeing among visits and gives precise data that adds to working on the nature of care.

My Health Records Helps sick persons To Manage All Medical Visits

My Health Records is straightforwardly connected with the EHR framework so clinical information is moved quickly from the counseling work area, lab results, physiotherapy records and this supports the clinical charging programming by killing copy medicines.

Various Treatments

Older individuals have numerous wellbeing concerns so incessant emergency clinic visits are fundamental, their chaperons can't recall everything about the ailment. Utilizing My Health Records can be gainful as it tracks all the medicine subtleties, medicine substance estimation, sensitivities, protection data, inoculation, and medical procedures history.

Open from one simple area - web-empowered gadgets (PCs, cell phones, and tablets), Personal Health Records Software empowers a sick person to remember the explanation they visited history by perusing the clinical rundown. The presentation of treatment is estimated against current ailments by ascertaining even little highs and lows in readings.

Wellbeing Analysis

My Health Records examinations the transferred information from a sick person entry and finds the spikes in pulse and sugar diagrams. Meeting with the specialists makes another diagram to separately gauge this treatment cycle and shows which medicine substance functions admirably the sick person's body towards accomplishing the objective.

Get coordinated in following immunization and meds of youngsters with PHR programming it permits clients to set admittance to relatives. Remnants can be set so preventive check-ups can be made on time.

Information Security

A typical worry in involving IT devices is information security as it has the default component of sharing information to the emergency clinic organization. Certain escape clauses in the security framework can jeopardize a whole rundown of sick persons. Individual data and significant DNA and chemical subtleties can be spilled and give admittance to cybercriminals to offer priceless information to unlawful organ transplantation organizations.

My Health Records gives security approaches prior to beginning the clinical excursion with them as information is scrambled in two-manner ideas and free associations are named to check regardless of whether the organization submits to government regulations. Lawful agendas are confirmed occasionally by the associations.

[dreamsoft4u]

Most Preferred Medical Softwares in Healthcare Industry

With the constant digitization of the healthcare industry, the industry witnessed a wide range of medical software. Because these healthcare software solutions refrain modern clinics or can, say, healthcare organizations from performing excessive paperwork and seamlessly manage numerous processes within the system. Here we will shed some light on the software that hospitals and patients use for hassle-free access to healthcare services.

EMR:

An abbreviation of Electronic Medical Records, EMR is an alternative to an archive of paper documents. It is one of the most preferred healthcare software solutions healthcare service providers use as it lets physicians perform routine work on the documents seamlessly.

EMR or digital versions of patient histories are portable and easy to use. Going through EMR, doctors can quickly check and analyze patients’ previous examinations and laboratory tests, and based on it, they can offer much better diagnoses and treatment to the patients.

Considering these advantages of EMR software solution, healthcare organizations, whether small or large, should consider custom development of EMR solution from a renowned EMR-EHR-PHR Development Company like DreamSoft4u that possess a core experience of more than 17 years in healthcare software and mobile app development.

EHR:

EHR or Electronic Health Records medical software is similar to the EMR, but it can be understood as a complete version of the latter one. EHR simply surpasses the limitations of EMR software and offers data access ease to other clinical establishments and hospitals as well. And it has become essential in critical cases when doctors need to check and analyze the patient’s health history in a matter of minutes.

Practise Management System

The practice management system is a customer relationship management software that enables healthcare organizations to integrate all the clinical and administrative processes so that users can seamlessly access and handle these processes. This results in workflow optimization, which reduces time and money expenses and enables healthcare organizations to offer better patient care.

The software comes packed with several subcategories, which simplifies workflow to a greater extent.

An appointment scheduling option:

This module lets patients’ schedule their appointment on their own through a mobile device. They do not have to rush to the hospital or clinic and stand in a queue for a long time to schedule their appointment.

An e-prescription solution:

This solution lets doctors or physicians send prescriptions directly to the pharmacies with a few clicks. It saves time and avoids mistakes that are plausible to happen to owe to unclear handwriting. Also, it lets healthcare organizations keep records of patients and provisions associated with the medicines to offer a better level of protection.

A medical billing solution:

Hospitals can automate all the insurance claims and payment procedures efficiently with the medical billing solution.

Patient Portals and Mobile Apps

Modern-day patients are more inclined to be associated with the treatment process so that they can focus more on healthcare and lead a healthy lifestyle. This is when telemedicine and digital health come into the picture.

Patient portals and mobile healthcare apps are the specialized set of software that allows them to fulfill modern-day patients’ desires and make healthcare more accessible and portable.

I talk about patient portals, they leverage with the following engagement tools like

Online appointment bookings

Online consultation

Online billing

Feedback

Educational information

Similarly, mobile apps are classified into different categories based on their functions and target audience.  

Blog Source:  software for healthcare management

[app-development-solutions]

How to Set Up Teleradiology?- Telehealthcare Software Solutions

Those times are far behind us when random emergency hospital visits and consultations with medical practitioners were a matter of their availability and time. With the onset of the pandemic era, such times are now a figment of our imagination, as one has to take care of social distancing norms, avoid public contact, and practice sanitization measures. In short, the normal movement of the public has become restricted due to the fear of contamination, which has, in turn, promoted the surge in telehealth software development services.

Teleradiology has gained momentum as people are considerably more mindful of visiting emergency clinics.

Radiology deals with the study of capturing photographs of the internal body. The intention is to analyze an ailment and decide the best course of treatment. As you can envision, radiology is a broadly utilized practice in medical clinics, emergency medical departments, medical clinics, and imaging corporations because of its ability to identify probable diseases. Some standard radiology procedures include x-rays, CT Scans, MRIs, and others.

Teleradiology includes a basic three-step process-

It begins when the patient undergoes scans and medical imaging.

Second, these scans are probed, monitored, and interpreted by radiologists.

In the end, the radiologists share their deductions and diagnosis with the patient or specialist who has suggested the test.

If you're considering what makes teleradiology unique from radiology, it's how teleradiologists don't need to be present in the same place as the patient to offer their services. This technology doesn't simply provide patients better consideration of their health but also eliminates the geological constraints that several patients face regarding quality care.

Let us discover in-depth how to set up teleradiology in the post-pandemic world with its relevant features.

Incorporation of SaaS-

In order to host teleradiology services in telemedicine app development solutions, ensure that the tech support is backed up by SaaS and not custom script. Saas stands for Software as a service.

Implementing Saas implies a lot fewer application issues, quicker loading time, and above all, speedier launch time. You can enjoy the ease of starting with a few clicks, and there's no need to do any coding.

Integration of EMR AND RIS-

Ensure the integration of EMR and RIS in the healthcare mobile app development. Teleradiology requires the storage and accessibility of medical records, prescriptions, reports, payment slips etc. This can be facilitated using Electronic Medical Record. EMR helps in availing password-protected access to patient’s medical history and better transferability of data.

Interoperability -

It is easy to deduce that interoperability is the next big revolution in the medical industry, which conveys more effectiveness in patient healthcare. Having "the capacity to share data across various platforms" will offer hospitals and clinics to make holistic patient medical records or also called Patient Health Records (PHRs).

User friendly Interface-

Your customized telemedicine software solutions will be foundational to utilize. Patients can join the application, list their conditions, diseases, or even symptoms, and pick a medical specialist from the index available. The specialist will then, at that point, offer them consultation services through call, video, or chat options to guarantee a simple and speedy course of treatment.

Integrating Global Payments-

To guarantee doctor's payment is consistent and reasonable, telemedicine app developers offer the choice for patients to pay after every consultation. The Saas-enabled teleradiology app likewise has various payment gateways for fast and safe exchanges.

Enable Appointment Scheduling Software-

For any teleradiology application, the most terrific selling point is user-friendly appointment booking telehealth software solutions. While picking any telemedicine app development company for your teleradiology app, you should be specific for a hassle-free appointment booking feature for new and older patients. To ensure the availability of patients, they additionally get reminders through their mobile devices.

Availability Algorithms-

The Saas-backed telemedicine app development enables doctors to update their virtual meeting hours. The availability of doctors is adjusted on the app as convenient. Patients can therefore book an appointment as per their requirements.

Conclusion-

Many corporations and tech giants rely on the assistance and know-how extended by our experts at Consagous Technologies.

We help our clients with amplified income coupled with unprecedented productivity while maximizing their customer's experience. Connect with us as we empower the world to use technology that speaks of productivity and efficiency!

Original Source:

https://bit.ly/3jxq2KQ

[sciforce]

Electronic Records in Present-Day Healthcare System

At present the healthcare system witnesses transmission of patients’ medical records from paper to electronic. After the US adopted the mandated switch to electronic records, they received extensive news coverage both in medical and mainstream publications. The digitalization era has given birth to a number of terms, such as electronic health records (EHRs) and electronic medical records (EMRs) that stand in the foreground of such publications, used sometimes interchangeable. However, there are distinct differences between them — as well as between other newly coined terms that describe different approaches to digitalization of the medical life.

Electronic Health Records?

An electronic health record (EHR) is a digital version of a patient chart, an inclusive snapshot of the patient’s medical history. It contains input from all the practitioners that are involved in the client’s care, offering a comprehensive view of the client’s health and treatment history.

Electronic health records are designed to be shared with other providers and authorized users may instantly access a patient’s EHR from across different healthcare providers.

Elements of EHRs

As a rule, EHRs contain the following data:

Patient’s demographic, billing, and insurance information;

Physical history and physicians’ orders;

Medication allergy information;

Nursing assessments, notes, and graphics of vital signs;

Laboratory and radiology results;

Trending labs, vital signs, results, and activities pages for easy reference

Links to important clinical information and support

Reports for quality and safety personnel

Electronic Medical Records

An electronic medical record (EMR) is a digital version of a patient’s chart used by a single practice: a physician, nurse practitioner, specialist, dentist, surgeon or clinic. In its essence, it is digitalized chart that healthcare facilities previously used to keep track of treatments, medications, changes in condition, etc. These medical documents are private and confidential and are not usually shared outside the medical practice where they originated.

Electronic medical records make it easier to track data over time and to monitor the client’s health more reliably, which leads to better long-term care.

Elements of EMRs:

EMRs usually contain the following information about the client:

Medical history, physicals, notes by providers, and consults from other physicians

Medications and allergies, including immunization history

Alerts to the office and the patients for preventative tests and/or procedures, e.g. lab tests to follow-up colonoscopies

Personal Health Records

An electronic personal health record (PHR) provides an electronic record of the client’s health-related information and is managed by the client. It is a universally accessible and comprehensible tool for managing health information, promoting health maintenance, and assisting with chronic disease management. A PHR may contain information from multiple sources such as physicians, home monitoring devices, wearables, and other data furnished by the client. With PHRs, each client can view and control their medical data in a secure setting and share it with other parties.

However, it is not a legal record unless so defined and is subject to various legal limitations. Besides, though PHRs can provide important insights and give a fuller view of the client’s health and lifestyle, its inaccuracy and lack of structure lead to limited use of it in the clinical and medical studies.

Benefits of Electronic Records Offer

Digital medical records may offer significant advantages both to patients and healthcare providers:

Medical errors are reduced and healthcare is improved thanks to accurate and up-to-date information;

Patient charts are more complete and clear — without the need to decipher illegible scribbles;

Information sharing reduces duplicate testing;

Improved information access makes prescribing medication safer and more reliable;Promoting patient participation can encourage healthier lifestyles;

More complete information improves diagnostics;

Facilitating communication between the practitioner and client;

Enabling secure sharing of client’s medical information among multiple providers;

Increasing administrative efficiency in scheduling, billing, and collections, resulting in lower business-related costs for the organization

So where is AI?

Electronic records are expected to make healthcare more efficient and less costly. However, in reality, under less-than-ideal circumstances, workarounds and errors of different types appear and complaints mount. Improving EHR/EMR design and handling requires mapping complaints to specific EHR/EMR features and design decisions, which is not always a straightforward process. Over the last year, more informatics researchers and software vendors have turned their attention to EHR/EMR systems, and more of them have started to rely on AI to give deeper insights into the design and handling of the electronic records. So far AI is used to assist medical professionals with electronic records flow in the following spheres:

Data extraction from free text

The free structure of clinical notes is notoriously difficult to read and categorize with straightforward algorithms. AI and natural language processing, however, can handle the heterogeneity of unstructured or semistructured data making them a useful part of EHRs. At present, healthcare providers can extract data from faxes at OneMedical, or by using Athena Health’s EHR. Apart from them, Flatiron Health’s human “abstractors” review provider uses AI to recognize key terms and uncover insights from unstructured documents. Amazon Web Services recently announced a cloud-based service that uses AI to extract and index data from clinical notes.

Data collection from multiple sources

As healthcare costs grow and new methods are tested, home devices such as glucometers or blood pressure cuffs that automatically measure and send the results to the EHR are gaining momentum. Moreover, data streams from the Internet of Things, including home monitors, wearables, and bedside medical devices, can auto-populate notes and provide data for predictive analytics. Some companies have even more advanced devices such as the smart t-shirts of Hexoskin, which can measure several cardiovascular metrics and are being used in clinical studies and at-home disease monitoring. This means, that future EHRs should integrate telehealth technologies. Besides, electronic patient-reported outcomes and personal health records are also being leveraged more and more as providers emphasize the importance of patient-centered care and self disease management; all of these data sources are most useful when they can be integrated into the existing EHR.

Clinical documentation and data entry

EHR documentation is one of the most time-consuming and irritating tasks in the modern care environment. A recent AMA study found that clinicians spend twice as much time over the keyboard as they do talking to their patients. Artificial intelligence with the help of NLP can automatically assemble and repackage the necessary components of clinical documentation to build clinical notes that accurately reflect a patient encounter or diagnosis. Nuance, for example, offers AI-supported tools that integrate with commercial EHRs to support data collection and clinical note composition. Such carefully engineered integration of AI into the note creation process would not only reduce the rummaging through bins of pieces, but could improve the output design, making clinical notes more useful, readable, and cogent and meeting all requirements for clinical documentation.”

Clinical decision support

Decision support, which recommends treatment strategies, used to be generic and rule-based. AI machine-learning solutions are emerging today from vendors including IBM Watson, Change Healthcare, or AllScripts that learn based on new data and enable more personalized care. For instance, Google is developing prediction models from big data to warn clinicians of high-risk conditions such as sepsis and heart failure. Enlitic, and a variety of startups are developing AI-derived image interpretation algorithms. Jvion offers a “clinical success machine” that identifies patients most at risk as well as those most likely to respond to treatment protocols. Each of these systems could be integrated into EHRs to provide decision support.

Interoperability

AI can address the core interoperability issues that have made it so difficult for providers to access and share information with the current generation of health IT tools. The industry is still struggling to overcome the challenges of proprietary standards, data silos, privacy concerns, and the lingering competitive disadvantages of sharing data too freely. With AI algorithms learning from inter-specialty communication specifics and facilitating shared decision making by mining patient input and feedback, the final clinical note will be the optimal product for the user in line with the interdisciplinary care concept.

AI may not be the panacea to every problem in healthcare, but it is definitely a promising approach for relatively repetitive and clearly defined tasks such as the creation and handling of electronic records. If successfully deployed in the clinical environment, AI tools that reliably construct meaningful and comprehensible clinical notes could provide significant workflow improvements for EHR users.

[75health]

It is essential to have all the personal health information of yourself and your family members – right information at the right time helps in not only enabling your physician to arrive at better decisions but also lets you understand how healthy you are! Here’s where the need for keeping a Personal Health Records (PHR) is felt!

[naivelocus]

Engineering cell sensing and responses using a GPCR-coupled CRISPR-Cas system

Generation of genetic constructs

Standard molecular cloning techniques were performed to assemble all constructs used in this paper and they are included in Supplementary Table 1.

Human codon-optimized S. pyogenes dCas9 was fused at the C-terminus with the tripartite VPR activator.23 VPR is a fusion of VP64, p65 activation domain, and Rta via two GS linkers. An SV40 nuclear localization signal (NLS, PKKKRKV) was inserted C-terminal to VP64. For visualization, mCherry was fused at the C-terminus of the construct. The fusion construct was cloned into a pcDNA3 vector with a CMV promoter driving the expression of dCas9-VPR-mCherry. For the mathematical model, a lentiviral pHR vector with a Doxycycline (Dox)-inducible TRE3G promoter was used instead.

ARRB2-TCS-dCas9-VPR was assembled by fusing ARRB2 (Human cDNA, NM_004313.3; Origene) with dCas9-VPR-mCherry and cloned into a pcDNA3 vector. The TCS sequence ENLYFQ/X was inserted in between and was flanked with GS linkers of varying lengths (Supplementary Fig. 3). Two nuclear export signals (NES, LALKLAGLDI) flanked ARRB2 to ensure cytoplasmic localization of the chimera. For the mathematical model, a lentiviral pHR vector with a Dox-inducible TRE3G promoter was used instead.

Synthetic GPCRs, natural GPCRs and TEV protease (Addgene #8835) were all PCR amplified and cloned into a pHR lentiviral vector by InFusion (Takara Clontech) cloning. The V2 sequence (derived from AVPR2)7 was inserted in between GPCR and TEVp as primer overhangs via InFusion cloning. For visualization, p2A-BFP was fused C-terminal to TEVp. Expression of GPCR-V2-TEVp-p2A-BFP was driven by an EF1a, PGK or SFFV promoter. See Supplementary Table 3 for plasmid sources for receptors.

All sgRNAs were cloned into a pHR lentiviral U6-driven expression vector that co-expressed puromycin-p2A-BFP or upstream of the GPCR-V2-TEVp locus for ease of transfection of the three-component GPCR-CRISPR ChaCha system. Alternative sgRNA sequences were generated by PCR and inserted by InFusion cloning into the vector digested with BstXI and NotI (New England Biolabs).

For multiplexing experiments, we also cloned a dual sgRNA vector to otherwise reduce false positives in bulk measurements (e.g., ELISA). This consists of two sgRNA cassettes in tandem driven by mouse U6 (mU6) and human U6 (hU6) promoters, respectively, and a co-expressed puromycin-p2A-BFP cloned into a pHR lentiviral vector. Here, the mU6 vectors are cloned using InFusion (Clontech) to insert PCR products into a modified vector digested with BstXI and SpeI. The hU6 sgRNA vector was cloned inserting PCR productions with InFusion cloning into a parent vector digested with XbaI and SpeI. After sequence verification, vectors were combined by digesting the XU6 sgRNA with XbaI and SalI, taking the insert and ligating into a SpeI and SalI digested XU6 vector.

Below is the standard S. pyogenes sgRNA scaffold used (N’s denote the spacer sequence):

5′-NNNNNNNNNNNNNNNNNNNNGTTTAAGAGCTATGCTGGAAACAGCATAGCAAGTTTAAA TAAGGCTAGTCCGTTATCAACTTGAAAAAGTGGCACCGAGTCGGTGCTTTTTTT-3′.

Spacer sequences for all sgRNAs used can be found in Supplementary Table 2.

Cell culture and generation of stable cell lines

HEK293T cells (Lenti-XTM, Clontech) were maintained in DMEM High Glucose with GlutaMAXTM media (Thermo Fisher) supplemented with 10% Tet System Approved FBS (Clontech) and 100 U/mL of penicillin and streptomycin (Gibco) at 37 oC with 5% CO2. We did not independently authenticate these cell lines and they were not tested for mycoplasma contamination.

For transfection, HEK293T cells (Lenti-XTM, Clontech) with 3 μL of Mirus TransIT-LT1 reagent per μg of plasmid added, and then incubated at room temperature for 15–30 min. Unless otherwise noted, GPCR ligands were added at the following concentrations at day 3 as specified in Supplementary Table 4. This table also specifies the media conditions used for each receptor to generate the data in Fig. 4.

We used lentiviral transduction to generate stable cell lines. At day 1, cells were seeded at 2.0–3.0 × 105 cells/mL in a 6-well plate format (Corning). At day 2, cells were 50–70% confluent at the time of transfection. For each well, 1.51 μg of pHR vector containing the construct of interest, 1.32 μg of dR8.91 and 165 ng of pMD2.G were mixed in 250 μL of Opti-MEM reduced serum media (Gibco) with 7.5 μL of Mirus TransIT-LT1 reagent and incubated at room temperature for 15–30 min. The transfection complex solution was distributed evenly to HEK293T cultures dropwise. Media was replaced at day 3 with fresh media. At day 4, lentiviruses are harvested from the supernatant with a sterile syringe and filtered through a 0.45-μm polyvinylidene fluoride filter (Millipore) for immediate transduction of target cell cultures.

Filtered lentiviral supernatants were mixed 1:1 with appropriate fresh media to replace media of target cells for transduction. Adherent cell cultures were transduced at 50% confluence. Approximately 10 days after transduction, the HEK293T pTRE3G-GFP line and the pUAS-GFP::pEF1α-rtTA-p2A-puro reporter line (pre-selected for 2 days with 1 μg/μL puromycin) were transiently transfected with dCas9-VPR and a targeting sgRNA (sgTET and sgUAS, respectively) for 1 day prior to sorting via GFP FACS in Carmen (BD InFlux) and Aida (BD Aria II) sorters, respectively. For the rate model, the HEK293T pUAS-GFP::pEF1a-rtTA-p2A-puro line was transduced with pEF1α-hM3D-V2-TEVp-p2A-BFP and pTRE3G-(ARRB2-TCS)-dCas9-VPR-mCherry and sorted ~7 days after transduction for both BFP and 1-day doxycycline induction of mCherry expression.

Flow cytometry analysis

Cell were dissociated using 0.05% Trypsin-EDTA (Life Technologies) and analyzed for reporter fluorescence in the Stanford Shared FACS facility with a Scanford FACScan analyzer (Becton Dickinson), or with a CytoFLEX S flow cytometer (Beckman Coulter). We collected 10,000 cells containing constructs of interest for analysis (BFP and mCherry double positive). The data presented are normalized to either a free dCas9-VPR with no sgRNA, or non-targeting sgRNA control as specified.

Time-lapse microscopy

At day 0, HEK293T TRE3G-GFP reporter cells were plated at 1 × 105 cells per 24-well well (μ-Plate 24 well; ibidi). At day 1, 250 ng of each plasmid was transfected (see Fig. 2a and Supplementary Fig. 4). At day 2, 20 μM of CNO was added to appropriate wells and immediately imaged. Time-lapse microscopy was performed on a Leica DMi8 inverted microscope equipped with, Lumencor SOLA SMII 405, Leica DFC9000 GT camera and Oko-Lab cage incubation system at 37 oC with 5% CO2. Leica Application Software was used to set up time-lapse imaging. Images from phase contrast, mCherry (filter cube TXR, No. 11525310), and GFP (filter cube GFP, Cat. No. 11525314) channels were taken every 0.5 h for 48 h with a 20x/0.40NA corr PH1 objective using Leica Adaptive Focus control. Image processing was performed in Fiji (ImageJ).

Reversibility experiment

A stable HEK293T line containing pUAS-GFP, pEF1a-rtTA-p2A-puro, pEF1α-hM3D-V2-TEVp-p2A-BFP, and pTRE3G-(ARRB2-TCS)-dCas9-VPR-mCherry (Supplementary Fig. 2b) was pre-induced with 1 μg/mL Dox for seven days to stabilize ARRB2-TCS-dCas9-VPR levels. Cells were then treated with 10 μM CNO either for one to seven days, or for 1 day and removed for 1–6 days. All cells were measured by flow cytometry on the same day, collecting 10,000 mCherry and BFP double positive cells for analysis.

Endogenous cytokine activation and secretion assays

A day before transfection, HEK293T cells were seeded in 24-well plates at a density of 5 × 104 cells per well. On day 1, cells were transfected with 250 ng of each plasmid (i.e., the CRISPR ChaCha components: GPCR-V2-TEVp of interest, the ARRB2-TCS-dCas9-VPR, and an sgRNA). On day 2, controls were transfected, consisting of the GPCR of interest, dCas9-VPR, and an sgRNA. Media on the ChaCha-containing cells was then changed to those with or without ligand treatment (10 μM for CNO; 0.5 μM for NMB).

Supernatants from cell cultures were harvested on day 4, and stored at −80 oC. Secreted proteins were quantified using the ELISA MAX Deluxe kits for human IL2 and IFN-γ (BioLegend). Absorbance at 450 nm and 570 nm was measured for samples in technical triplicates with a Synergy H1 plate reader (BioTek). Samples were standardized by subtracting measurements at 570 nm from those at 450 nm. Protein concentrations were then determined by standard curves fitted to a power law using Excel (Microsoft).

qPCR analysis of gene expression

Cells were transfected as described in the proceeding section. On day 4, cells were harvested and RNA was extracted using a RNeasy Midi Plus Kit (Qiagen). cDNA was then prepared using 500 ng of RNA per 20 μL reaction via iSCRIPT cDNA synthesis (BioRad). Following synthesis, cDNA was stored at −30 °C until qPCR.

qPCR was conducted in 10 μL reactions using 384 well plates, using 15 ng of cDNA, a 400 nM final concentration of primers, and iTaq Universal SYBR Green Supermix (BioRad). See Supplementary Table 5 for primers used. From transfection, there were three technical triplicates that were then ran in technical duplicate for qPCR reactions. Thermocycling was done as follows: 95° for 1 min, 95° for 10 s, and 60° for 30 s. The latter two steps cycled for 50 repeats with plate reads taken after the 60° step40 on a CFX384 Touch Real-Time PCR thermocycler (BioRad). To reduce technical variation in loading 384 well plates, each independent experiment was ran on the same day with the same aliquots of a qPCR reaction master mix. We applied a Ct threshold of 35 cycles after running water controls for each primer. Thus, any Ct values that were over 35 or not reported after 50 cycles were then set to a Ct of 35 cycles.

The data were analyzed using the ΔΔCt method. ΔCt was calculated about the housekeeping gene GAPDH. Then ΔΔCt was calculated using the ΔCt t from the gene of interest (GOI), subtracted from the ΔCt of the free dCas9-VPR and sgGal4 condition (M 0 ). We then report relative expression as the following:

Fold changes are reported as the ratio of relative expression between the CNO treated and untreated conditions.

Class A GPCR phylogenetic tree construction

The phylogenetic tree in Fig. 4a was constructed using GPCRdb41, 42. Human GPCRs from the Swiss-Prot database were used as reference, without any selection for G protein preference. One GPCR from each family of Class A/Rhodopsin Family GPCRs was used to construct the tree, including those utilized in this study. Full-length sequences of receptors were considered for tree construction. No bootstrapping was performed, and distance calculation utilized the neighbor-joining method, with the regular branch lengths option. The tree was then rendered using T-REX43.

Modeling GFP activation by doxycycline-inducible dCas9-VPR

We construct rate equations to model the induction of dCas9-VPR-mCherry (referred hereafter simply as dCas9) by Dox (D) and the dCas9-induced activation of the target reporter gene, GFP.

(1)

(2)

where α1 and α2 are first-order rate constants for dox-induced dCas9 (C) production and subsequent dCas9-induced production of GFP (G), respectively; the Hill coefficient n and K D are the cooperativity and affinity constants of dox induction, respectively; the exponent m is a lumped parameter that captures the following processes in series: dCas9 binding to the gene target (GFP), transcription, and translation of GFP; β1 and β2 are first-order degradation rate constants for dCas9 and GFP, respectively.

At steady state,

which yields steady state (ss) formulae for C and G

(4)

(6)

where κ1 = α1/β1, κ2 = α2/β2, and Gmax = κ1κ2; Gmax represents the theoretical maximum GFP level.

A simple mathematical rate model of the CRISPR ChaCha system

We construct rate equations to model four connected processes, which are: (i) conversion of inactive hM3D-TEV (R) receptor to an activated state (R*) upon CNO ligand (L) binding, which leads to (ii) the cleavage of dCas9-VPR-mCherry (C) from ARRB2-dCas9-VPR-mCherry (A, referred hereafter simply as ARRB2-dCas9) that can be (iii) induced with doxycycline (D), and (iv) the subsequent activation of the target reporter gene, GFP (G), by cleaved dCas9-VPR.

(7)

(8)

(9)

(10)

(11)

Where α R , α R* and α A are production rate constants for inactive receptor, ligand-activated receptor, and ARRB2-dCas9; β R , β R*, β A , β C , and β G are first-order degradation rate constants for inactive receptor, active receptor, ARRB2-dCas9, cleaved dCas9, and GFP, respectively; γ C and γ G are reaction rate constants for active receptor-mediated cleavage of ARRB2-dCas9 to release dCas9, and subsequent dCas9-induced production of GFP, respectively; n is the number of ARRB2-dCas9-VPR molecules recruited per one active receptor.

At steady state, all time derivatives go to zero, which yield the following steady state (ss) formulae for relevant molecules

(12)

(13)

(14)

(15)

Substituting equations (12), (13), (14) into Equation (15) yields a steady-state formula for GFP as a function of CNO ligand and ARRB2-dCas9,

(16)

or simply,

(17)

where represents the theoretical maximum GFP level at high saturating levels of L and A, and it is a function of the rate constants for receptor production, dCas9 degradation, and GFP degradation; represents the set-point concentration for the CNO ligand to produce half-maximal GFP levels; represents the ratio of active receptor-mediated ARRB2-dCas9 cleavage and active receptor degradation rate constants.

Data presentation and analyses

Data are displayed as individual points with sample size indicated in figure legends. No sample size estimates were performed, and the sample sizes used in this study are consistent with those used by similar genome editing and gene regulation studies. Experiments were performed independently at least two times. Values reported are relative to indicated control conditions. No randomization or blinding was performed.

Statistical analysis was performed using SPSS Statistics 21 (version 22, IBM Corporation), or Prism 7 (Graphpad). Equal variance between populations was not assumed. To account for unequal variance among conditions, Welch’s two-sided t test was performed when comparing two conditions, and Welch’s ANOVA was performed followed by Games–Howell post hoc tests when comparing more than two conditions with each other. All statistical data analyses are compiled in Supplementary Table 6.

Data availability

All relevant data can be provided by the authors. In the manuscript we provide the raw data (Supplementary Data 1–4) and R scripts (Supplementary Data 5) used to generate in Fig. 1 and Supplementary Fig. 2.

— Nature Communications

[lokerjabodetabekid]

Company Profile (www.hashmicro.com) HashMicro is the leading ERP & software solutions provider who develop next-generation technologies that innovates how businesses across industries manage their day to day operations. With state-of-the-art solutions, we are pushing the boundaries of what’s possible in a software, where we set modern standards for workplace innovation and productivity. We constantly seek passionate individuals to join our team, where we value your passion, desire to learn and grow, to join us to innovate and take on fresh challenges as a team. . . 1. Project Manager – JKT 2. ERP Consultant - JKT 3. Product Consultant/ Executive - JKT 4. Odoo/ Open ERP/ Python Developer - JKT 5. Website Developer - JKT 6. System Analyst/ Specialist - JKT 7. Pre Sales Technical/ Functional Consultant (Proof of Concept Officer - ERP) – JKT 8. Digital Marketing Executive - JKT . . Qualifications: 1. 1 year minimum experience. 2. Education background requirement: Bachelor Degree from Information Technology/ System Information; Marketing Sales Management; Graphic Design. 3. Proficient in English is a must. 4. Have a positive & good attitude, discipline, hard worker, 5. Master good presentation and persuasion skill. 6. Familiar with: ERP, CRM, POS, Windows, Linux, Ubuntu, MySQL, SQL, Oracle, SEO, SEM, PPC, Html, Css, Javascript, Loop. PHR, Wordpress, Odoo, etc. If you meet the requirement, please send your updated CV to dennis.kimawan@hashmicro.com Note: We do have an internship program. Feel free to ask. https://www.instagram.com/p/B7K-W5lntZh/?igshid=1skekmimgw65e

[cancersfakianakis1]

The clinical significance of platelet-derived growth factors (PDGFs) and their receptors (PDGFRs) in gastric cancer: A systematic review and meta-analysis

Publication date: July 2018 Source:Critical Reviews in Oncology/Hematology, Volume 127 Author(s): Hai Qian, Kwaku Appiah-Kubi, Ying Wang, Min Wu, Yan Tao, Yan Wu, Yongchang Chen BackgroundThe overexpression and mutation of platelet-derived growth factors (PDGFs) and their receptors (PDGFRs) are widespread in cancers and have been recognized as attractive oncologic targets with diverse therapeutic targets. Reports of the overexpression of genes, proteins and mutations of PDGFs/PDGFRs in gastric cancer and their associations with clinicopathological features, Western and Asian patients, as well as prognostic role have shown variable outcomes. This study sought to employ meta-analysis to evaluate PDGFs/PDGFRs status prognostic significance and their association with clinicopathological features of gastric cancer.MethodA comprehensive search of PubMed database for studies that investigated the overexpression of mRNA/Protein and mutation of PDGFs/PDGFRs in gastric cancer of Western and Asian patients, their prognostic significance and association with clinicopathological characteristics in May, 2017 or earlier was carried out by two reviewers independently. Pooled odd ratios and hazard ratios at 95% confidence intervals were estimated and summarized using fixed-effect and random-effect Mantel-Haenszel models and Inverse Variance models in Review Manager software version 5.3.ResultsFourteen studies with 16 datasets of 1178 patients were included in meta-analysis. Fourteen studies of 1178 patients with 1446 cases and 7 studies of 1076 patients with 1280 cases were included in meta-analysis of clinicopathological and prognostic significance of high or positive PDGF/PDGFR status respectively. Odd ratio at 95% confidence intervals for different groups of analysis are as follows: males versus females(OR = 1.38, 95% CI: 1.04–1.83, POR = 0.03); ≥T2 stage versus T1 stage(OR = 2.06, 95% CI: 1.22–3.49, POR = 0.007); nodal metastasis versus no nodal metastasis(OR = 2.78, 95% CI: 1.48–5.22, POR = 0.002); TNM stage ≥II versus TNM stage I(OR = 3.55, 95% CI: 1.89–6.69, POR<0.0001). Subgroup analysis of the association of PDGF/PDGFR among Western patients(OR = 0.24 95% CI: 0.10–0.58, POR = 0.002) and association of PDGFs/PDGFRs gene mutation among gastric cancer patients(OR = 0.15, 95% CI: 0.05–0.45, POR = 0.0008) were significant. The association of PDGFs/PDGFRs in young and middle age versus elderly aged, undifferentiated versus well differentiated tumors, large tumor size group(>6 cm) versus small tumor size group(≤6 cm) were insignificant. Subgroup analysis of the association of PDGFs/PDGFRs among Western Asian patients; PDGF/PDGFR mRNA expression and protein expression among gastric cancer patients were insignificant. In addition, PDGF/PDGFR status among gastric cancer patients was insignificant in overall effect analysis PDGF/PDGFR status has shown to predict reduced overall survival(HR = 1.25, 95% CI: 0.49–3.22, PHR = 0.64) and relapse free survival(HR = 0.93, 95% CI: 0.36–2.41, PHR = 0.88) insignificantly. Also, overall prognostic effect analysis(HR = 1.07, 95% CI: 0.58–1.96, PHR = 0.84) was insignificant.ConclusionPDGFs/PDGFRs status amongst gastric cancer patients plays a key role in clinical variables and nodal metastasis. These insights might be helpful in providing guidelines for diagnosis, molecular target therapy, and prognosis of gastric cancer. https://ift.tt/2IGkrk7

[stumablog-blog]

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[databridgemarketresearch1-blog]

Digital Health Apps, Digital health monitoring, healthcare it, Wearable Devices Research Reports Forecast to 2024

Digital health products are shifting the continuous monitoring market from healthcare professionals to consumers hence creating an entirely new market scope. The digital health monitoring market is helping the healthcare monitoring from diagnosis to predictive approach. Consumers get control of the device and the continuous data management, provided with miniaturization, portability, its wireless component, non-invasive body sensors, and integration with the smart phone, decreasing the physician visits for regular check ups. The big issue of this market is no reimbursement so for the manufacturers it’s a concern that who will the payer in this market, hence somewhat restraining the market growth. However with cheaper and more effective technologies coming in the market the constraint with reimbursements will be controlled.According to Data Bridge Market Research new Market report

  “Global Digital Health Monitoring Market By Product Type (Devices (Blood Pressure Monitors, Blood Glucose Monitors, ECG, Oximeters, Peak Flow Monitors, Multi Parameter Monitors, Sleep Apnea Monitors, Neurological Monitors, Others), Software (Healthcare Apps, Chronic Disease Apps, Personal Health Apps, Others), Services (Remote Monitoring, Consultancy Services, Treatment Services, Others), By Geography (North America, Europe, Asia Pacific, South America, Middle East & Africa) – Trend and Forecast to 2022”, has accounted to USD 14.3 billion in 2015, growing at a CAGR of 38.8% from 2016 to 2022, and is expected to reach USD 132.2 billion by 2022.

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 Market Analysis: Global Telehealth Market

The Global Telehealth Market has accounted for USD 3.1 billion in 2016 and is expected to reach USD 18.3 billion by 2024, growing at a CAGR of 24.6% in the forecast period 2017 to 2024. The new market report contains data for historic years 2015, the base year of calculation is 2016 and the forecast period is 2017 to 2024.

 Digital Health Monitoring Market – Market Segmentation

The global digital heath monitoring market is segmented based on product types into 3, namely digital health devices, digital health software and digital health services. The digital health devices market includes mobile devices and is further segmented into blood glucose monitors, ECG monitors, blood pressure monitors, oximeters, peak flow monitors, neurological monitors, sleep apnea monitors, multi parameter monitors, and others. Blood glucose monitors is expected to grow at the highest CAGR due to the increasing prevalence and risk of diabetes in the global market especially U.S. However the increasing awareness and health concern among the population in developed countries is expected to drive this market.

The digital health software market includes mobile apps for healthcare and is segmented into healthcare apps, chronic disease apps, personal health apps and others. Some of the major inclusions in this segment are weight loss apps, fitness tracking apps, aware and alert apps, diabetes maintenance apps, pregnancy apps, blood pressure monitoring apps, PHR apps among others. The digital health services market includes remote monitoring, diagnosis and consultation services, fitness and wellness services, prevention services and others. The software and services market is propelled by the acceptance of android and ios phones in developing markets. The fitness and tracking apps dominating the software market in 2015, accounting to the market share of 29.8%. The remote monitoring services are expected to dominate the market in the forecast period, which accounted to 55.3% of the market in 2015. 

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 Digital Health Monitoring Market – Geographical Segmentation

Based on geography the digital health monitoring market is segmented into 5 geographical regions, North America, Europe, Asia-Pacific, South America and rest of the world. The geographical regions are further segmented into 24 major countries such as U.S. Canada, Mexico, Germany, France, U.K., Belgium, Switzerland, Belgium, Turkey, Japan, China, Singapore, Brazil, India, Russia, South Africa and many others. U.S. is expected to dominate the market due to the rising acceptance of consumer based healthcare monitoring and awareness among its population.

Digital Health Monitoring Market – Competitive Landscape

The players in this market are using mergers, acquisition and development of technology as penetration strategies. The report also includes new developments, future technological advancements, recent strategically decisions, expansions and product launches. The key players in the digital health market are Medtronic, Inc., Apple, Inc., Sanofi, Mobisante, Inc., AirStrip Technologies, Inc., AliveCor, Inc., LifeWatch AG, Nike Inc., Koninklijke Philips N.V., Johnson & Johnson, Jawbone, Omron Corporation, Withings, BioTelemetry Inc., athenahealth, Inc., AgaMatrix, Inc., iHealth Lab, Inc., AT&T, Qualcomm, Cerner Corporation, Diversinet, and Cisco, Inc. among others.

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 Key Market Competitors: Global Telehealth Market

Some of the major players in this market are Cerner Corporation, GE Healthcare, Honeywell Life Care Solutions, McKesson Corporation, Ergotron, Inc., Medtronic, Inc., InstaMD, The Medvivo Group, Philips Healthcare, USARAD Holdings, Inc., Robert Bosch Healthcare, Vitaphone GmbH, Siemens Healthcare, Cisco Systems, Inc., SnapMD, Inc. and, Tunstall Healthcare among others.

 About Us :-Data bridge Market Research is an aftermath of sheer wisdom and experience which was formulated and framed in the year 2015 in Pune. We ponder into the heterogeneous markets in accord with our clients needs and scoop out the best possible solutions and detailed information about the market trends. Data Bridge delve into the markets across Asia, North America, South America, Africa to name few.

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[healthcare-research-report-blog]

Heart Failure Software Market to Record Sturdy Growth by 2024

The global Heart Failure Software Market is growing significantly due to changing healthcare system. Rising demand for monitored care for individual health has in turn increased demand for heart failure software. Technological advancements and increased accessibility to personal healthcare systems are some factors projected to drive growth of the heart failure software market.

Rising need for continuous health assessment and dynamic advancements in technology have introduced various applications of clinical decision support system such as heart failure software system. Heart failure software enables management of cardiac patients safely and efficiently. It offers support to patients in cardiac activity monitoring and analyzing risk zone of patients with cardiac diseases. Documenting, assessment, activity monitoring, referrals, communicating between physicians for treatment, follow up, etc. are activities carried out through heart failure software. Thus, it is deployed by hospitals, cardiac clinics and other clinical facilities for continuous assessment and monitoring of patients. With patient numbers increasing due to the combined effects of improved survival after heart attack and an ageing population, the management of heart failure patients will continue to have a significant impact on healthcare resources. Thus, driving growth of the heart failure software market. Continuous monitoring of cardiac condition helps improve treatment compliance, improves control on symptoms, decrease patients clinical visits, improves patient outcome, enables detailed investigation for the cardiac symptoms, etc.

Rising health awareness, increasing demand for continuous health monitoring, and shifting consumer preference towards a healthy lifestyle has led the heart failure software market to upsurge substantially. Technological advancements have led to the emergence of various health monitoring devices such as remote patient monitoring, activity tracker and wearable medical devices that in turn are expected to drive growth of the heart failure software market. Moreover, rising need for continuous monitoring of health in lifestyle diseases such as cardiac arrest, hypertension, etc. has led to increase in demand for heart failure software.

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 Increasing demand for access to patient health records (PHR/ PHI) is the important factor leading to Heart Failure Software market growth. Awareness is the important factor for increasing the adoption rate for Heart Failure Software. Thus, government and various international organization across the globe are being involved in various initiatives undertaken to increase the awareness about the monitoring devices. Various government and non – government organization continuously operates in development of advanced healthcare solutions by offering funds, leveraging technology and skills. For an instance, according to study published by Wolters Kluwers in 2016, the use of clinical decision support system for heart failure patients has shown improved health outcomes in patients and decrease in readmissions.

In terms of type of model, heart failure software market is categorized into knowledge based and non – knowledge based. Knowledge based heart failure software was observed with relatively significant demand than the other. However, the challenges reported in the type of models is the interoperability of different systems or platforms existing in hospital and clinical setup. Moreover, increasing advancement in personal medical devices is anticipated to exert positive impact on overall heart failure software market.

In terms of delivery mode, heart failure software market is segmented into web-based, on-premises and cloud-based systems. Cloud based systems is the fastest growing segment in the market.

In terms of end users, hospital segment is expected to account for major share in heart failure software market, due to increasing adoption of electronic health records (EHR) and remote patient monitoring system. Rising awareness about personal health amongst the population is expected to drive growth of the consumer segment over the near future.

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