• Jvion Names Industry Veteran Jay Deady as Chief Executive Officer
    Former CEO Shantanu Nigam transitions to new role as Executive Chairman of the Board
    06 Apr 2020 | Read More
  • Jvion’s COVID Patient Vulnerability Lists Help Hospitals Proactively Respond to Pandemic
    CareATC among customers using Jvion’s COVID Patient Vulnerability Lists to proactively intervene with high-risk patient populations
    02 Apr 2020 | Read More
  • New COVID-19 Community Vulnerability Map Uses Social Determinants of Health to Identify Populations At Greater Risk
    Fred Pennic of HIT Consultant reports on Jvion's COVID Community Vulnerability Map that allows users to search and drill down into communities to view populations most vulnerable for severe outcomes if infected with a COVID-like virus and the socioeconomic factors driving that risk. "By understan...
    24 Mar 2020 | Read More
Most Recent
  • Jvion Names Industry Veteran Jay Deady as Chief Executive Officer
    06 Apr 2020 | Read More
  • Jvion’s COVID Patient Vulnerability Lists Help Hospitals Proactively Respond to Pandemic
    02 Apr 2020 | Read More
  • Azure-powered COVID vulnerability map
    31 Mar 2020 | Read More
  • Hackers target health care AI amid coronavirus pandemic
    31 Mar 2020 | Read More

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Greg Nichols of ZDNet reports on Jvion's COVID Community Vulnerability Map, and how it incorporates SDOH data into an analysis that identifies vulnerable communities at greater risk for contracting a virus like COVID. "Because health crises almost always have significant socioeconomic correlations, the map also calls out factors such as access to transportation or nutritious food. By overlaying additional data, such as the availability of hospitals and transportation, the map reveals compelling insights."

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Maggie Miller of The Hill reports on AI technology in healthcare being targeted by hackers during the coronavirus outbreak, and includes insights from Jvion's Chief Medical Information Officer, Dr. John Frownfelter - "Cybersecurity is getting more and more sophisticated where for hospitals, it’s not their core business, but the bar is getting higher for them to match the efforts to breach them essentially,” Frownfelter said. “I think this trend is going to continue until some paradigm shift occurs.”

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Jessica Cohen of ModernHealthcare reports on companies that are trying new approaches to map the COVID19 outbreak - and mentions Jvion's COVID Community Vulnerability Map along with insights from Dr. John Showalter, CPO of Jvion. "Using data on demographic and socio-economic factors, some companies are working to develop tools that they say identify areas particularly vulnerable to COVID-19 spread, based on possible risk factors and social determinants of health. That could help hospitals and health agencies prioritize outreach to at-risk populations, such as campaigns reminding people in specific neighborhoods or counties to stay indoors or wash their hands, said Dr. John Showalter."

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Ben Dickson of TechTalks delves into Jvion's COVID Community Vulnerability Map that enables health systems to determine the social risk factors that make people more likely to contract and spread the virus or acquire an infection that requires hospitalization. "Discovering social risk factors can make a big difference in dealing with contagious diseases such as the novel coronavirus. Studies show that in previous pandemics such as H1N1 in 2009, social factors contributed to worse outcomes among socioeconomically disadvantaged populations."

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Mandy Roth of HealthLeaders Media reports on Jvion's COVID Community Vulnerability Map, highlighting it as an online pandemic resource that factors in social determinants of health to help pinpoint vulnerable communities and reduce the disparity of poor outcomes. "We are trying to use our AI approach and our understanding of socioeconomic determinants across 30 million patients to fill in those gaps for health systems and communities that are planning their response," said Dr. John Showalter, Chief Product Officer of Jvion.

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Bill Siwicki of Healthcare IT News reports on how Jvion's COVID Community Vulnerability Map identifies populations likely to experience severe outcomes once infected with viruses like COVID-19 – as well as the socioeconomic drivers for their risk, helping providers proactively allocate resources. "The public-facing tool, built on Microsoft Azure maps, enables providers and leaders to identify the social determinants of health (SDOH) that put populations at greater risk. The map can inform community planning and resource allocation in order to proactively mitigate the risk to vulnerable populations..."

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Fred Pennic of HIT Consultant reports on Jvion's COVID Community Vulnerability Map that allows users to search and drill down into communities to view populations most vulnerable for severe outcomes if infected with a COVID-like virus and the socioeconomic factors driving that risk. "By understanding the differentiated needs within their population, health systems can more adequately plan for healthcare utilization, deploy preventive or mitigating care resources, and anticipate the short-, mid- and long-term impacts of public health decisions, such as school and business closures."

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Writing for AI in Healthcare, Dave Pearson discusses the enterprising industry players that have contributed AI in the fight against COVID-19, highlighting Jvion's initiative in creating a COVID Community Vulnerability Map that enables healthcare providers to identify the social determinants of health that put communities at risk. The AI-based mapping system "can quickly help local health departments prioritize their limited resources for response planning and adapt their tactics to the needs of neighborhoods and communities."

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Aithority reports on Jvion's COVID Community Vulnerability Map that enables healthcare providers and communities battling the COVID pandemic to identify the social determinants of health (SDOH) that put populations at greater risk, informing community planning and resource allocation to proactively mitigate the risk to vulnerable populations. These insights can help inform providers, public health organizations and community support agencies as they look to deploy interventions, outreach and other services to keep individuals from contracting the virus and, once infected, manage their care towards a positive outcome.

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EHS Today reports on Jvion's new COVID Community Vulnerability Map that identifies populations down to the census block level that are at risk for severe outcomes upon contracting a virus like COVID. "Using such a large dataset minimizes the risk of bias. Of this data, Jvion looked at a representative sample to understand the risk drivers for similar viruses that can lead to acute respiratory illness and organ failure, such as influenza. The analysis identified disparities in risk between different patient populations, as well as the socioeconomic and environmental factors driving that.

Read Full Story from EHS Today

Scot Petersen of IT Pro Today writes about the growing use of AI in health care for detecting conditions and diseases, and predicting their correlation with environmental conditions. Scot highlights how Jvion is attacking the emerging field of SDOH with its new clinical-AI CORE product that helps clinicians prevent patient harm, and identifies the socioeconomic factors that lead to specific health risks. Read the full story here.

Read Full Story from IT Pro Today

Amy Baxter of AI in Healthcare reports on Jvion's new data analysis project to identify patterns tied to the spread of viruses causing acute respiratory illness, informing COVID-19 readiness strategies for hospitals, health systems and communities. Jvion’s preliminary analysis, which looked at more than two million patients and their risks of acquiring infection leading to end organ damage, were consistent with other research into COVID-19, and uncovered additional social factors that put patients at risk.

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Alice Park of Time Magazine discusses the world's battle with the COVID-19 pandemic, and analyzes how data and artificial intelligence have helped healthcare workers efficiently identify and treat people who have contracted the disease. Alice points to how Jvion has used AI to study 30 million patients in its data universe to identify people and communities at highest risk of COVID-19 on the basis of more than 5,000 SDOH variables.

Read Full Story from Time Magazine

Jvion, a company that specializes in clinical artificial intelligence, announced March 11 the launch of its social determinants of health solution that identifies socioeconomic barriers that are influencing patients' health risk. The platform also gives insights into potential investments healthcare organizations can make in community benefit programs to address the gaps in care. Jvion leveraged its own AI along with Microsoft Azure Maps to empower providers and health systems to address underserved populations.

Read Full Story from Becker’s Health IT

In a Q&A feature article, Computerworld's Lucas Mearian reports on the clinical AI success of Jvion partner Baptist Health, the largest hospital group in Montgomery, Ala. Kelly Benson, the director of Community Care Management at the Baptist Health Center for Well Being, delves into how Baptist curbed avoidable admissions by 18% over the last two years after deploying Jvion's artificial intelligence tool into its EHR system.

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Samantha McGrail of HIT Infrastructure highlights the most innovative and disruptive healthcare IT companies in 2020, according to hospital executives, based on the recent KLAS Emerging HCIT Companies 2020 report. Jvion ranked top in the artificial intelligence and machine learning category, for its ability to "look at patient data in a multidimensional, statistical way, something that has never been done before..."

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Heather Landi of Fierce Healthcare spotlights the most disruptive companies in the healthcare industry, according to hospital executives, based on the recent KLAS Emerging HCIT Companies 2020 report. Jvion is praised for its ability to "leverage social determinants of health, look outside of the electronic health record (EHR) and incorporate what it finds into what is going on inside the hospital. Jvion looks at patient data in a multidimensional, statistical way..." Read the full story here. 

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"Artificial intelligence (AI) is transforming healthcare, especially on its clinical side, where 62% of providers have already adopted an AI strategy. The American Hospital Association recently reported that when successfully implemented, clinical AI can improve patient outcomes and lower costs at each stage of the care cycle, from prevention and detection to diagnosis and treatment. Expect to see continued growth in AI adoption in 2020." Read about the patient care trends of 2020 by Dr. John Showalter, CPO, Jvion, on Electronic Health Reporter.

Read Full Story from Electronic Health Reporter

"A strong doctor-patient relationship is the cornerstone of quality care. Without it, a doctor’s ability to make an accurate diagnosis is compromised as patients fail to confide key details pertinent to their health. If patients don’t trust their doctor and the treatment they prescribe, treatment plan compliance will be jeopardized. Unfortunately, the burdens of Electronic Health Records (EHR) force clinicians to spend less time with their patients and more time looking at computers, undermining their ability to form healthy relationships with patients." Read the full story on how utilizing purpose-built AI can help doctors build stronger relationships with their patients and lead to better outcomes for doctors and patients alike, on Healthcare Business Today. 

Read Full Story from Healthcare Business Today

Jvion is proud to have placed first in the best healthcare artificial intelligence solutions segment of the 2020 Best in KLAS report, receiving an overall score of 86.0. This recognition is given to vendors for outstanding efforts to help healthcare professionals deliver better patient care. The Best in KLAS designation is reserved for the software and services market segments that have broad operational and clinical impact on healthcare organizations, helping healthcare professionals save more lives through technology.

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"With the risk-prediction algorithm, the hope is to identify people six to 12 hours before clinical determination happens." Sepsis kills one in five people annually worldwide, and it can be very difficult to detect. That's why major health systems like Geisinger and the Cleveland Clinic are turning to machine learning to detect and treat sepsis early. This article from the Wall Street Journal explains how this game changing technology is being used to save lives.

Get the full story from the Wall Street Journal

Though medical laboratory testing is key to confirming sepsis, predictive analytics systems can identify early indications and alert caregivers, potentially saving lives. Read the full story on Dark Daily to learn how Jvion and others are helping clinicians catch sepsis patients earlier and intervene to prevent harm.

Read Full Story from Dark Daily

A machine learning model from Jvion predicted which patients were most likely to be admitted to the hospital or visit the emergency department (ED) over a 90-day period, based on an algorithm fueled by easily obtained socioeconomic data: each patient’s age, gender, race and address. The study, appearing this week in the ninth annual health information technology issue of The American Journal of Managed Care, potentially offers health systems and policy makers a way to target groups of patients with “specific, individualized interventions to tackle detrimental social determinants of health,” at both the household and neighborhood levels. Learn more in Managed Healthcare Executive.

Read Full Story from Managed Healthcare Executive

How do search engines know what you're looking for, even if you misspell or leave a word out? And what does this mean for healthcare? In a new article for Clinical Research News, Jvion CPO Dr. John Showalter explains how lessons from search engine technology can be applied to improve the EHR experience.

Angela Yochem, executive vice president and chief digital and technology officer at Novant Health, was named one of the top 5 health IT executives to watch in 2020 by Fierce Healthcare. Yochem co-leads the Novant Health Institute of Innovation & Artificial Intelligence (AI) launched in June, which will use AI to enhance personalized patient care. The Institute recently teamed up with Jvion to use prescriptive analytics to reduce readmissions for congestive heart failure patients. Learn more about Angela Yochem and see the other innovators in Fierce Healthcare.

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Intermountain Healthcare and Trinity Health Logos

The investment reflects both providers’ commitments to improving patient outcomes and care quality through advanced, proven AI and prescriptive analytics.

Atlanta, Georgia, FEB 13, 2019 – Leading healthcare Artificial Intelligence (AI) firm Jvion announced a growth investment from healthcare leaders Intermountain Healthcare and Trinity Health. This round of funding is an expansion of the existing customer relationship between Jvion and both providers and demonstrates their respective ongoing commitments to healthcare innovation, including the practical application of AI solutions for driving improved quality and health outcomes. This investment comes less than a month after the announcement of a significant growth equity investment led by JMI Equity, Health Enterprise Partners and Health Velocity Capital. KLAS recently recognized Jvion’s solution for its leadership in the growing field of clinical analytics, and for edging out predictive analytics solutions offered by top acute care EMR vendors.

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(Atlanta, GA) Mercy Medical Center in Canton, Ohio has lowered rates of all-cause readmissions by more that 20 percent through the application of Jvion’s Cognitive Machine solution. As one of the preeminent providers leading the industry in Artificial Intelligence (AI) adoption, this 476-bed facility is effectively leveraging Jvion’s technology to enhance quality improvement efforts and care quality.

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According to the Institute of Medicine, there will be 18 million cancer survivors by 2022 and the yearly rate of new cancer diagnoses will reach 2.3 million by 2023. Amplifying the difficulties created by rising rates are key trends that add to the challenges of cancer care including an aging population, a shrinking pool of cancer professionals, and rising costs. Growing demand compounded by the complexity of cancer care and shrinking resources is creating what is being labeled a “crisis in cancer care delivery.”

One of the leading Artificial Intelligence (AI) Cognitive Machine companies, Jvion, announced the move of its business and solution to Microsoft Azure. The change represents the next step in Jvion’s journey and a strategic decision designed to help ensure the scalability, flexibility, and speed of Jvion’s Cognitive Machine—one of healthcare’s leading AI solutions.

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Baptist Health Montgomery is celebrating four years of success using Artificial Intelligence (AI) to improve quality and safety, and decrease cost. The system’s AI Asset—Jvion’s Cognitive Machine—has helped prevent readmissions, improve outcomes, and maintain the health of Baptist Health’s employee population. Since its initial implementation, the solution has delivered tremendous financial and operational value.

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Jvion, the leading AI Cognitive Machine provider for healthcare, today announced that its Jvion Cognitive Machine has been selected by Duke University Health System (DUHS) for deployment and evaluation for the potential of improving several patient health outcome and quality considerations. The machine will be applied to both inpatient and community-based care settings at Duke, a nationally and internationally recognized academic medical center.

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CareATC, a leading population health management company, selected Jvion’s Cognitive Machine to target individualized interventions that will help prevent patient deterioration. The adoption of Jvion’s solution is an extension of CareATC’s commitment to leverage groundbreaking technology. CareATC offers customized population health management solutions for employers that reduce healthcare costs by promoting health, preventing disease and providing a shorter path to care.

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University Hospitals (UH) – one of the nation’s leading health care systems, delivering high-quality, patient-centered care throughout Northeast Ohio – selected Jvion’s Cognitive Machine to further drive down rates of sepsis and improve the patient experience. The AI capabilities delivered by Jvion will be applied to the primary prevention of both inpatient and community sepsis, and to improving patient satisfaction.

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Onslow Memorial Hospital stands as a clear example that even a small hospital can do amazing things with Artificial Intelligence (AI). The hospital has been an industry leader in the application of AI to fill the clinical and operational needs left unaddressed by traditional EHRs and predictive tools. It came as no surprise that when the 162-bed Coastal Carolina facility wanted to tackle the complex issue of patient experience, they looked to Jvion’s Cognitive AI Machine. This extension to patient experience builds on the provider’s history of success using the machine to lower rates of readmissions, patient regression, pressure injury, and ACO population risk propensities.

Jvion's Chief Product Officer Dr. John Showalter's recent article highlighting the potential impact of AI on veterans' health was published in GCN magazine--a leading publication for the public sector. In addition to providing possible areas for AI application, Dr. Showalter explains how AI can improve care immediately, predict future health care needs, and determine the best way to prevent illness and deterioration.

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Geisinger selected Jvion’s Cognitive Clinical Success Machine as one of the organization’s critical Artificial Intelligence (AI) assets. The decision to move forward with Jvion was made after a successful initial pilot and validation of the solution’s performance with industry peers. The initial scope of cognitive machine application will be to Chronic Obstructive Pulmonary Disease (COPD) related readmissions, and avoidable COPD admissions for patients served by the Geisinger Medical Center—the system’s largest hospital.

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Intermountain Healthcare, a Utah-based, not-for-profit system of 22 hospitals, selected Jvion's cognitive machine as an enterprise Artificial Intelligence (AI) asset. The decision follows a successful seven-month pilot. 

The provider's initial focus will be on primary care enablement including avoidable admissions, risk of high-utilizers, and readmissions. Intermountain Healthcare's extended strategy will be to apply the Jvion machine across disease specific areas that have the greatest potential impact on patient health outcomes.

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Geisinger, a 13-hospital integrated delivery network serving more than 3 million residents across northeastern Pennsylvania and southern New Jersey, selected Jvion’s Cognitive Clinical Success Machine to drive care excellence, reduce avoidable complications, and prevent patient regression. Using the Cognitive Machine, Geisinger will work to lower rates of C. Difficile infections within the inpatient population, lower rates of COPD readmissions, and reduce avoidable admissions within the broader COPD patient population.

A preeminent nonprofit academic medical center based in the Midwest selected Jvion to support the organization’s goals of improving outcomes for patients at risk for readmission and exacerbations of chronic conditions. The machine will be used to positively impact 30-day readmissions and D5 diabetes metrics. Jvion was chosen specifically because of the Cognitive Machine’s advanced ability to leverage clinical data and social determinants of health in a way that leads to actionable and effective individualized recommendations. Please look for future press releases regarding project updates and details on the success of the program.

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Memorial Health System of Springfield, Illinois, a 500-bed hospital focused on delivering the highest quality care for the community and individual patients, selected Jvion’s Cognitive Machine to lower rates of adverse events and prevent health regression. Through an approach that spans the continuum of care, Memorial Health System will apply the cognitive machine to lower rates of readmissions, prevent inpatient sepsis, and intervene on patients who are on a trajectory toward an avoidable ER visit.

Jvion, the leader in Eigen-based cognitive machine technology for healthcare, released their latest vector aimed at lowering rates of no-show appointments. By delivering insights into patients at risk of a missed appointment and the actions that will most effectively drive patient attendance, providers have a new, powerful tool to help lower rates of no-shows and drive patient engagement.

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EvergreenHealth, a two-hospital system located in Washington State and rated one of America’s 100 Best Hospitals by Healthgrades, selected Jvion’s Cognitive Machine to more effectively impact patient outcomes, scale to meet the challenges of today and the future, and provide the support that EvergreenHealth caregivers need to better treat patients.