The Electronic Health Reporter writes about the application of AI and Machine Learning to help drive more proactive and efficient medication management. It highlights Jvion’s ability to provide the best course of action for patients and members based on the combination of their clinical and socioeconomic risk factors.
JVION in the News
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Electronic Health Reporter: Real World Applications of Artificial Intelligence to Improve Medication Management Across the Care Continuum
The Electronic Health Reporter writes about the application of AI and Machine Learning to help drive more proactive and efficient medication management. It highlights Jvion’s ability to provide the best course of action for patients and members based on the combination of their clinical and socio...04 Aug 2020 | Read More -
HIStalk: Interview with Jay Deady, CEO, Jvion
HISTalk caught up with Jay Deady to discuss how AI is impacting healthcare, helping make better use of SDOH and identifying vulnerable populations. Read Full Story from HIStalk03 Aug 2020 | Read More -
Forbes: How Three Companies Adapted As COVID-19 Changed Their Sectors
While businesses across geographies and industries face a variety of challenges stemming from COVID-19, their ability to survive and even thrive sometimes comes back to the basics: reassessing their business model, mapping out a variety of scenarios, doubling down on customer acquisition and rete...23 Jul 2020 | Read More
Most Recent
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Electronic Health Reporter: Real World Applications of Artificial Intelligence to Improve Medication Management Across the Care Continuum
04 Aug 2020 | Read More -
HIStalk: Interview with Jay Deady, CEO, Jvion
03 Aug 2020 | Read More -
Healthcare Business Today: There’s a Safer Way to Reopen: Understanding Workforce Vulnerability with the Help of AI
28 Jul 2020 | Read More -
Forbes: How Three Companies Adapted As COVID-19 Changed Their Sectors
23 Jul 2020 | Read More
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HISTalk caught up with Jay Deady to discuss how AI is impacting healthcare, helping make better use of SDOH and identifying vulnerable populations.
Dr. Showalter discusses the importance of understanding worker vulnerability with the help of AI as business’ reopen during the COVID pandemic.
While businesses across geographies and industries face a variety of challenges stemming from COVID-19, their ability to survive and even thrive sometimes comes back to the basics: reassessing their business model, mapping out a variety of scenarios, doubling down on customer acquisition and retention, putting a premium on health and safety, and taking several other actions outlined in an extensive report by Oracle NetSuite. In this article, Jvion is featured as one of three innovative companies that put some of those key strategies and tactics into practice amid the global pandemic.
Jacqueline LaPoint, Senior Editor at Xtelligent Media highlights Augusta University Health System’s partnership with Jvion to help mitigate the impact of financial loss through the use of Jvion’s Back to Work AI assessment.
LONDON, UK – July 21, 2020 - AIMed, a leading provider of global clinician-led artificial intelligence thought leadership, education and editorial content in healthcare and medicine has announced today the launch of the new AIMed Community Group - AIMedConnect. AIMed is delighted to welcome Jvion, a key healthcare clinical artificial intelligence company on board as a founding member. For more than a decade, Jvion has delivered clinical-AI solutions to the healthcare industry to identify individuals on a risk trajectory whose outcomes can be modified with the proper interventions.
Heather Landi writes about healthcare technology companies who are helping employees get back to work, and mentioned Jvion's back-to-work tool.
The article brings up valid concerns among patients when they don't know that AI takes part in the decision-making process to discharge them - so Rebecca plays a bit of the devil's advocate. At the same time, she presents Jvion in a positive light by outlining its transparency in sharing study-validated results (noting a 26% reduction in readmissions).
The New York Times article focuses on new workforce health-vetting and tracking tools, including Jvion's back-to-work assessment alongside others from companies such as Fitbit and Google's sister company, Verily.
Jvion's proven analytics improve member health and operational outcomes through the identification of avoidable risk and effective member engagement
Dr. John Showalter, Chief Product Officer discusses how data and AI can enable healthcare organizations to prepare proactively for pandemics. Beyond COVID, AI offers a lens through which healthcare entities can save the lives of vulnerable populations and align resources to care for the population at large.
The New York Times article focuses on new workforce health-vetting and tracking tools, including Jvion's back-to-work assessment alongside others from companies such as Fitbit and Google's sister company, Verily.
Jvion's pilot program and analytics tool for oncologists at The Center for Cancer and Blood Disorders (CCBD) in Fort Worth, Texas is highlighted in this article that explores how AI is being integrated into oncology to help identify patients at risk of relapse or adverse effects, and to assist in making clinical decisions on care.
Heather Landi explores the growing list of companies offering back-to-work health screening tools. She mentioned Jvion among companies like Fitbit and Castlight Health, "Artificial intelligence company Jvion also offers a back-to-work assessment that screens employees for COVID vulnerability and exposure and supports ongoing employee safety monitoring."
The report, IDC Innovators: AI for Patient Engagement, 2020 (Doc #US46298920), profiles five companies that are applying artificial intelligence (AI) to patient engagement in healthcare. Patient engagement technology includes analytics to identify patients with health risks, workflow to manage patients, and outreach technology to communicate with patients.
The article discusses available back-to-work COVID testing software options, highlighting Jvion's assessment with Augusta University Health System and the role of privacy and security.
AI in Healthcare published an article, mentioning Jvion as one of the five healthcare software suppliers in an IDC Innovators list that was released yesterday. The list highlights products aimed at helping providers improve patient engagement by leveraging AI.
Becker's Hospital Review mentions our back to work assessment in a piece about how health systems are using tech to guide return to the workplace - and links back to the Augusta Chronicle piece secured earlier this week.
The article covers how Jvion’s clinical AI works including the pivot to understanding vulnerability and not just risk.
Becker’s recaps a virtual workshop during which Jvion co-presented with Microsoft on leveraging clinical AI to help states and business’ reopen safely.
As employers reopen it’s important to understand the differences across strategies. Clinical AI offers greater insights than many of the general surveys available. It also helps employers understand vulnerability across their workforce not just risk.
The AI-enabled back-to-work assessment screens employees for COVID vulnerability and exposure and supports ongoing employee safety monitoring
As Georgia and other states begin to reopen, Augusta University Health will offer a tool to help local businesses return to work safely
The HITRUST CSF Certification reflects Jvion’s commitment to meeting industry regulations and protecting patient privacy.
Dr. Showalter, Chief Product Officer discusses the key themes & insights on what to expect from AI in healthcare in 2020 with The Advisory Board.
As the novel coronavirus (COVID-19) continues to spread across the world, governments and hospitals are being overwhelmed with an influx of patients. Under such circumstances, one of the key challenges they must address is managing their resources and developing care and hospitalization strategies that can prioritize the riskiest patients.
Daniela Hernandez of the Wall Street Journal features Jvion and customer partner CareATC, in her piece analyzing how technology companies, health insurers and governments are turning to artificial intelligence to predict potential coronavirus outbreaks. Daniela explains how CareATC used Jvion's AI to identify and proactively reach out to individuals at high-risk of experiencing severe health outcomes, if infected with COVID-19. "This is about prevention,” said Dr. John Frownfelter, Jvion's CMIO, “Where do we need to put resources to make sure they do shelter in place?”
Former CEO Shantanu Nigam transitions to new role as Executive Chairman of the Board
CareATC among customers using Jvion’s COVID Patient Vulnerability Lists to proactively intervene with high-risk patient populations
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."
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.”
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."
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."
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.
The map identifies populations likely to experience severe outcomes once infected and the socioeconomic drivers for that risk, helping community leaders and healthcare providers deploy interventions and allocate resources
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..."
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."
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."
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.
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.
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.
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.
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.
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.
Jvion Tackles Socioeconomic Barriers to Care with Industry-Leading Artificial Intelligence Jvion launches Social Determinants of Health solution enabling healthcare organizations to align community resources to identified gaps and social barriers to care
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.
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..."
Heather Landi of FierceHealthcare 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.
"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.
"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.
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.
"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.
Jvion CEO and Co-Founder Shantanu Nigam spoke with One Million by One Million founder Sramana Mitra to discuss how AI can be applied to prevent avoidable patient harm inside and outside the hospital. Their conversation covers use cases, change management lessons, and further opportunities for innovation.
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.
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.
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.
Jvion featured as having the largest client base in the healthcare AI market; 95% of Jvion clients said they would buy again with Jvion being part of their long-term plans
New SVP of Customer Success to help drive Jvion's strategic approach to healthcare AI and return on investment
Jvion recognized for achievements in empowering healthcare systems to prevent harm and lower costs
Initial program aims to reduce congestive heart failure readmissions with potential savings of about $1M
In a recent AJMC article “How Data, AI Are Unlocking Secrets to Better, More Efficient Cancer Care,” oncology leaders discuss the impact of the Oncology Care Model and AI’s role in improving quality metrics, patient care, and the bottom line.
The Jvion Machine was highlighted by Sentara for its role in preventing hospital acquired sepsis and providing guidance on intervention steps.
(Atlanta, GA) Leading healthcare Artificial Intelligence (AI) firm Jvion announced the addition of Rod Reed as Chief Growth Officer and Niki Cook as Chief People Officer. The additions reflect the company’s continued growth, expansion, and dominance in AI-enabled prescriptive analytics for preventable harm.