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
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
(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.
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.
To help drive down patient readmissions and enhance care, Northwell Health will integrate predictive artificial intelligence (AI) software from Jvion’s Cognitive Machine into the health system’s electronic medical records (EMR) at 15 hospitals.
Investment will help meet surging healthcare demand for an AI-driven clinical decision support solution that improves patient outcomes, lowers the cost of care, and addresses challenges across various healthcare market segments.
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.
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.
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.
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.
Jvion, the developer of the Cognitive Clinical Success Machine, announced the release of the company’s latest clinical vector to target and treat patients at risk of opioid abuse. The machine’s outputs will be used to identify at-risk patients and the actions that will most effectively reduce risk while ensuring engagement.
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.
Jvion announced a collaboration with the COPD Foundation, Geisinger, GSK to improve the lives of chronic obstructive pulmonary disease (COPD) patients. The four organizations are teaming together to help individuals with COPD stay healthier, avoid hospitalizations, and prevent readmissions following an inpatient stay.
San Francisco, CA, September 21, 2017 -- Jvion has been shortlisted for Best AI Application in Healthcare at the AIconics awards, the world’s only independently-judged awards celebrating Artificial Intelligence for Business, which are being announced at The AI Summit San Francisco.
Jvion’s Cognitive Clinical Success Machine is being applied to help hospitals identify patients who will have a longer than expected inpatient stay and determine the actions that will improve a patient’s health outcome.
Jvion’s latest vector is helping providers determine the actions that will best drive patient engagement and address gaps in the patient experience.
TripleTree, LLC, a strategic advisor and merchant bank serving innovative and market-leading healthcare technology and services companies, is pleased to announce Jvion as a finalist for the 2017 TripleTree iAwards.
The capabilities enabled by Jvion’s Cognitive Clinical Success Machine are highlighting the massive divide between model-based, predictive functionality offered within Electronic Health Record (EHR) solutions and robust, advanced Eigen-sphere based cognitive machines.
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.
Clostridium difficile infection (CDI) is a severe bacterium that impacts hospitalized patients and significantly increases risk of death. Jvion’s CDI vector helps providers determine who is at-risk of a CDI and accounts for risks beyond the current patient to drive considerations for the 20-50% of asymptomatic patients that contribute to CDI risk.
Atlanta-based Jvion released its latest version of the company’s Cognitive Clinical Success Machine following HIMSS17. This version includes new full-spectrum clinical success vectors aimed at addressing and preventing risk across the entire patient encounter.
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.
Onslow Memorial Hospital is incorporating patient risk and intervention information from Jvion’s Cognitive Clinical Success Machine to lower readmission rates, improve outcomes, and drive the most effective use of provider resources. The resulting savings add up to close to $1M realized in less than a year.
Grady Health System is the first safety-net hospital to use Cognitive Clinical Success Machine technology to improve outcomes for some of the most underserved and complex patients in the nation.
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 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.
Trinity Health selected clinical cognitive science leader Jvion as a grant awardee in the inaugural Innovation Challenge. The firm will apply its Clinical Cognitive Science solution to improve care and reduce readmission rates for dual eligible patients.
CB Insights recently released ‘The Digital Hospital: 80+ Companies Reinventing Medicine in One Infographic.” Atlanta-based Jvion was highlighted for the firm’s predictive capabilities, which are helping providers reduce readmissions and prevent avoidable visits to the ER.
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.
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.
The University of Tennessee Medical Center, a Level I trauma center and the Knoxville region’s only academic medical center, is applying Jvion's advanced Artificial Intelligence (AI) and Clinical Patient Pod technology to lower readmission rates and improve the health outcomes of their patient population.
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.
Jvion, the leading provider of clinical predictive analytics, will showcase the company’s RevEgis solution during HIMSS16. This year’s attendees can preview RevEgis during show hours and can learn about the solution’s application during showcased education sessions.
Jvion extends the company’s suite of market leading predictive capabilities to the outpatient community. With the release of this module, Jvion will help providers prevent patient regression, address high-risk individuals, and reduce waste across the healthcare continuum.
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.