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  • Intermountain Healthcare and Trinity Health Make Growth Investment in AI Leader Jvion
    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 healthca...
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  • Jvion Featured as Leading Player of Machine Learning in Medicine Global Market
    18 Apr 2019 | Read More
  • Jvion Showcased by the Journal of Clinical Pathways for Oncology Care
    04 Apr 2019 | Read More
  • Intermountain Healthcare and Trinity Health Make Growth Investment in AI Leader Jvion
    13 Feb 2019 | Read More
  • Mercy Medical Center Lowers Rates of Readmissions by More Than 20% Using Jvion’s Cognitive Machine
    12 Feb 2019 | Read More

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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.

(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.

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.

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.

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.

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.

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.

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.

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.

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