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  • Battling Sepsis and Elevating the Patient Experience with AI: University Hospitals Selects Jvion’s Cognitive Machine
    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 Jvi...
    05 Sep 2018 | Read More
  • Onslow Memorial Hospital Applies AI to Improve the Patient Experience
    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 t...
    23 Aug 2018 | Read More
  • Geisinger’s Steele Institute for Healthcare Innovation Selects Jvion’s AI to Help Transform Care Delivery
    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...
    03 Jul 2018 | Read More
Most Recent
  • Battling Sepsis and Elevating the Patient Experience with AI: University Hospitals Selects Jvion’s Cognitive Machine
    05 Sep 2018 | Read More
  • Onslow Memorial Hospital Applies AI to Improve the Patient Experience
    23 Aug 2018 | Read More
  • Jvion's Dr. John Showalter Highlighted for Bringing AI to Veterans
    09 Jul 2018 | Read More
  • Geisinger’s Steele Institute for Healthcare Innovation Selects Jvion’s AI to Help Transform Care Delivery
    03 Jul 2018 | Read More

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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.

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.

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.

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.

University Hospitals Health Systems, which comprises 11 community medical centers and serves 15 counties in Northeast Ohio, selected Jvion’s Cognitive Machine as the organization’s clinical Artificial Intelligence (AI) asset. The provider will apply the machine to lower rates of sepsis across inpatient populations; prevent sepsis occurrences for individuals who are in the outpatient setting; and target potential gaps in the patient experience. University Hospitals Health Systems plans to expand the application of the Jvion machine to other areas of clinical priority as part of a strategic roll out of the AI asset.

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.

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.

"The first three months of 2018 have culminated in an inflection point for Jvion. Marked by immense growth, strong financial performance, and solid investor backing, Q1 2018 is a demonstration of the strong differentiation exemplified by our solution and our team. In addition to the expanding compliment of vectors including opioid addiction, we completed a successful pilot at Intermountian Healthcare, expanded at Sentara, added MD Anderson and Baylor Scott & White to our roster of impressive clients, achieved phenomenal results at Unity Point, and won the Top Innovator award from the Accenture HealthTech Innovation Challenge. We are looking forward to increased momentum and continued market expansion as we build on these great accomplishments across 2018."

– Shantanu Nigam, CEO

Jvion’s cognitive machine leadership and expertise are highlighted in the latest issue of the peer-reviewed journal Management in Healthcare. Co-written by Jvion Chief Product Officer John Showalter, MD, the article “Turning artificial intelligence into impact: An action plan for providers” provides a detailed, practical guide for driving adoption and value from advanced AI solutions.

A prominent, University affiliated cancer center selected Jvion’s Cognitive Machine to lower rates of pressure injuries in a target segment of cancer patients. Jvion was chosen as part of this effort because of the Cognitive Machine’s ability to drive early detection and proper interventions that successfully reduce risk and improve patient health. Please look for forthcoming press regarding the machine’s performance and ability to empower clinicians with individualized, actionable insights that lower rates of pressure injuries and lead to better outcomes for cancer patients.

Sentara Healthcare, one of the largest health systems serving Virginia and North Carolina, extended its multi-year relationship with cognitive machine leader Jvion to address the critical care needs of the provider’s patient population.

“We are extremely excited to expand our relationship with Sentara and to bring Jvion’s proven cognitive machine capabilities to the full enterprise,” said Ritesh Sharma, COO for Jvion. “Through this relationship, we are helping Sentara improve care, lower cost, and better target effective interventions using the most advanced Artificial Intelligence engine available to healthcare.”

UMC Health System (UMC), which serves the West Texas and Eastern New Mexico region, selected Jvion’s Cognitive Machine to help achieve the provider’s goals of providing high quality care and achieving performance excellence. UMC will use Jvion’s infection bundle, which includes C.Diff along with other HAIs; community regression; pressure injury; and all-cause readmission vectors to drive improvements in patient health outcomes across care settings and the provider's Accountable Care Organization.

At UnityPoint Health, we are bringing the power of AI to our patients through Jvion’s Cognitive Clinical Success Machine. The solution is more than just a predictive model; it is an AI Asset that can scale to the changing needs of our patient population and increasing demands on our resources. The value realized from the machine goes well beyond the financial. We are improving patient outcomes because we are better able to identify at-risk patients and determine the most effective actions that will reduce risk while improving patient engagement. - Dr. Mark Purtle, Chief Medical Officer, UnityPoint Health Des Moines

An estimated 6.7% of the U.S. population suffers from at least one major depressive episode each year. Unfortunately, only 35% of patients with severe symptoms see a mental health provider and approximately 20% receive care consistent with current guidelines. Jvion’s Major Depression Vector is designed to improve the rate at which patients with major depression are diagnosed and provided access to treatment from the best resources. The machine identifies the risk of a patient experiencing a major depressive episode within the next six months. This includes the medical and socioeconomic factors that are driving the individual’s risk. Recommendations are provided, which focus on screening, referrals, and overcoming individual barriers to treatment.

“When Southeast Alabama Medical Center looked at the Jvion Cognitive Machine, we knew it was something special and something that could help us transform patient care. Within the first year of implementation, we went beyond our initial readmissions vector to include pressure injuries. Based on the great results and patient outcomes that we achieved, we are continuing to expand the application of the Jvion solution to other clinical challenges including inpatient sepsis. The machine and the team behind it, have become critical tools that are helping us to achieve our mission and focus on care excellence.”
-- Lara McCall RNBSN CCM, Director Case Management, Southeast Alabama Medical Center

Baylor Scott & White Health is taking the next step in the system’s Artificial Intelligence journey with the incorporation of Jvion’s leading cognitive machine solution. “We typically pursue a ‘fast follower’ strategy when it comes to selecting advanced technologies to advance our pursuit of making healthcare the way it should be. We are excited by the opportunity to build on a platform like Jvion’s Cognitive Machine that brings together proven technology and powerful insights curated in partnership with other leading health systems,” said Tom Bowen Wright, VP Digital Innovation. “Our initial focus will be on empowering our clinicians with tools to make informed, timely decisions to reduce length of stay outliers; furthermore, we are excited by the broad potential for predictive analytics and prescriptive decision making tools to transform how we care for our patients and members.”

Suicide is a leading cause of death in all age groups; for individuals age 15-34 only unintended injury ranks higher. Between 1999 and 2014, the per capita rate of suicide increased 24%. More than 44,000 people died due to suicide in 2015. Jvion’s Suicide/Self-harm Vector helps tackle this growing problem by identifying those most at risk of having an emergency department or inpatient visit due to self-harm, suicidal ideation, suicide attempt, or suicide in the next six months. Recommendations focus on screening and matching patients with the most effective resources on an individual level.

Continuing to serve as a catalyst for identifying and engaging with emerging innovators and disruptors with the second annual Accenture HealthTech Innovation Challenge, Accenture has named cognitive clinical machine creator Jvion as a finalist for this year’s event. Finalists from the three regional rounds that were held in Singapore, London and Boston will participate in the StartUp Health Festival in San Francisco during the 2018 JP Morgan Healthcare Conference.

Cognitive Clinical Success Machine client acquisition announcements: Cleveland Clinic, Intermountain Health, TriHealth, and the continued collaboration with the Mayo Clinic to build out the Bedside Patient Rescue vector

Jvion announced today the launch of the company’s latest cognitive machine clinical success vector Bedside Patient Rescue (BPR). Developed in collaboration with Mayo Clinic, BPR helps providers reduce unanticipated, avoidable deaths by more effectively identifying those patients at risk of deterioration and in need of acute clinical intervention.

Jvion announced the launch of the company’s latest cognitive machine clinical success vector Bedside Patient Rescue, which was developed in collaboration with the Mayo Clinic. Bedside Patient Rescue is designed to help providers reduce avoidable deaths and patient deterioration. The vector is the latest addition to the thousands of vectors currently enabled by Jvion’s Cognitive Clinical Success Machine.

Atlanta, GA February 21, 2017 -- Atlanta-based Jvion, the leading cognitive clinical science machine firm, announced the acquisition of the predictive analytic firm Predixion’s Healthcare IT practice. Predixion, which raised $42M+ to date, received $20M in its third round of investment and is backed by giants including Accenture, GE Ventures, and Software AG, will bring top industry talent and an impressive client roster to Jvion. Analyst believe the move will help augment Jvion’s market positioning while amplifying the value delivered by Predixion to their current client base by enabling access to Jvion’s Cognitive Clinical Success Machine.

Chief Medical Officer and post-acute care expert Terry Sullivan, MD will present the latest industry perspectives on post-acute care integration during the HIMSS17 conference. The presentation is expected to deliver deep insights into risk reduction techniques and the role of advanced cognitive science in driving better health outcomes for the elderly patient population.

Jvion’s Effectiveness Score Index (ESI) approach is helping providers make sense of the complex predictive solution landscape that has erupted across the healthcare industry. In a landscape in which many healthcare vendors claim to have a predictive solution, cognitive science leader Jvion is working to clear the noise. During a recent presentation, Jvion data science leaders introduced the idea of the Effectiveness Score Index (ESI) to help illustrate and mitigate the accuracy fallacy inherent to many of the predictive solutions on the market.

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Jvion’s Clinical Cognitive Science Recommendation Machine is delivering patient, action-level predictions, interventions, and suggestions that are leading to better health outcomes. The solution, which performs like a high-performance, plug-and-play appliance, fits directly into the current technology ecosystem and can start delivering risk and recommendation predictions in weeks.

Grady Health System, one of the nation’s largest public academic health systems and a safety net provider serving the Atlanta community, is using Jvion’s clinical predictive solution to reduce the risk of re-hospitalization within their patient population. With Jvion and the RevEgis platform, Grady has been able to better target and support at-risk Congestive Heart Failure patients while driving value for the health system.

Five judges chose Nigam's business proposal over four other finalists in Mayo Clinic's Think Big Challenge, a "Shark Tank"-like startup competition. Nigam gave his final pitch to a laid-back, tech-connected crowd gathered in the Mayo Civic Center for Mayo Clinic's Transform 2016 conference. He won a $50,000 cash prize plus the right to license Mayo Clinic's Bedside Patient Rescue technology.

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The Mayo Clinic Center for Innovation and Mayo Clinic Ventures today announced that Jvion of Johns Creek, GA has been selected as one of five finalists for the Mayo Clinic Think Big Challenge, a national competition for innovators and entrepreneurs to earn the opportunity to license Mayo Clinic technology, lead a team, and score a $50,000 cash prize.

Jvion, the Atlanta-based leader in clinical predictive analytics, announced the completion of the firm’s recent funding. Led by Eastside Partners with follow on participation from Martin Ventures, proceeds from this round will help Jvion drive continued support for the firm’s customers and expand the predictive use cases enabled by Jvion’s RevEgis software.

St. Vincent Charity Medical Center, an acute care teaching hospital sponsored by the Sisters of Charity Health System, and Mercy Medical Center, a ministry of the Sisters of Charity Health System and a 476-bed, acute care teaching hospital serving the Ohio area, recently selected Jvion as the system’s cognitive machine provider. Through the firm's clinical cognitive engine, the providers will receive predictions that will help improve patient health outcomes while optimizing cost and saving lives.

"Based on our initial analysis of a sample set of patients, Jvion’s Acute Myocardial Infarction (AMI) predictions are performing almost two times better than stress tests and 20% better than CT coronary angiograms in predicting AMI events in a low risk population within 12 months of discharge." - Dr. John Showalter, CHIO University of Mississippi Medical Center

Extending the success of the firm’s Cognitive Clinical Success Machine, Jvion released a mobile application. The app, which is enabled for all iOS and Android platforms, provides a simple, organized tool to help providers access accurate patient-level predictions and interventions from anywhere at any time.

Exciting things are happening at Jvion, and we want to share some important news with you. Now we have a more spacious office with a great view and location. Jvion team really rocks!

Rush University Medical Center, Chicago, has teamed with a number of technology firms to build a unique job-training program for military veterans. Through the collaboration, more than a dozen veterans have been placed in information technology jobs throughout the Chicago region.

University of Mississippi Medical Center CIO John Showalter and Jvion, a data analytics company, were honored today at the CHIME15 Fall CIO Forum for a collaboration aimed at improving care for heart failure patients.

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Black Book™ surveyed 1,191 hospital Chief Financial Officers, Vice Presidents of Finance, Controllers and Directors, to determine the top performing vendors among in-demand financial software, systems and outsourcing services, and assess the gaps and urgencies of hospital financial administration. The highest ranked vendors in customer satisfaction and client experience are announced in twenty-four financial solution functionalities and systems.

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Jvion, the Atlanta-based leader in predictive analytic healthcare solution, released their latest use case focused on enabling value-based purchasing performance. This predictive capability will help hospitals improve performance under the Hospital Value-based Purchasing Program while also driving improvements in the quality of care.