Jvion helps healthcare systems prevent patient harm and associated costs by enabling clinical staff to focus attention, resources, and individualized interventions on patients whose outcomes can be improved.
Jvion pinpoints the impactable patients who are on a risk trajectory that can be changed and provides the patient-specific recommendations that will drive to a better outcome. The Jvion Machine is a combination of Eigen-based mathematics, dataset of more than 30 million patients, and software that can be quickly applied to any of 50 preventable harm vectors (such as sepsis, readmissions, falls, avoidable ER visits, and pressure injuries) without the need to create new models or to have perfect data.
Jvion has worked in clinical settings for nearly a decade, with hospitals reporting average reductions of 30% in preventable harm incidents and avoidable cost savings of .3 million a year.
Jvion is based in Suwanee, Georgia.
What is the single-most innovative technology you are currently delivering to health systems or medical groups?
Jvion’s most innovative technology is its clinical AI platform, the Care Optimization and Recommendation Enhancement (CORE), an asset that empowers healthcare providers and payers and other healthcare organizations with the insight to proactively identify and address avoidable patient harm and lower costs.
The CORE can be applied across many use cases like Social Determinants of Health, Behavioral Health, Oncology, Hospital Acquired Conditions and Infections, Avoidable Utilization and many more. Jvion’s CORE pinpoints patients on a trajectory towards an adverse clinical outcome — based on a combination of clinical, socioeconomic, behavioral and environmental factors — and recommends the personalized evidence-based interventions most likely to improve outcomes for each patient’s unique needs.
How is your product or service innovating the work being done in these organizations to provide care or make systems run smoother?
With more than 4,500 factors analyzed per patient, the CORE can identify at-risk patients missed by traditional predictive analytics. And rather than simply assigning patients a risk score, the CORE identifies why patients are at risk, and recommends clinically-validated interventions personalized to reduce each patient’s risk.
The CORE can also reduce alert fatigue and the physician burnout that comes with the utilization of traditional stratification analytics. Most predictive analytics don’t provide any insight on whether high-risk patients outcomes can be improved, or how to improve it, which leads to overwhelming patient lists and risk alerts. The CORE reduces these alerts by focusing on the modifiable patients whose outcomes are most likely to be improved with the right intervention, and providing actionable insights that empower clinicians to intercept and course-correct.
What is the primary need fulfilled by the product or service?
As the industry continues to drive value-based care, there is a need to more accurately and efficiently identify patients that can be impacted through proactive intervention and, more specifically, how to intervene for each patient. To that end, Jvion’s mission is to primarily address the pervasive problem of preventable patient harm (defined as avoidable adverse clinical events or outcomes), which affects 1 in 20 patients and costs over $244 billion in avoidable medical expenses annually.
Jvion’s clinical AI can predict patient risk for a wide range of specific preventable harm incidents including sepsis, pressure injuries, falls, and hospital acquired infections and provide prioritized evidence-based recommendations to drive the best outcome for each individual.
What is the ROI of said product or service?
To date, the Jvion CORE AI solution has been deployed across about 50 health systems and over 300 hospitals, which report average reductions of 30% for admissions, 20% for readmissions, and average annual cost savings of $13.7 million.
Provide real examples of verifiable ROI of the product or service when used in or by a health system or medical group.
Baptist Health: Avoidable admissions and readmissions plague hospitals nationwide, and Provider-Sponsored Health Plans (PSHP) — health plans that are owned by a health system, physician group, or hospital — such as Baptist Health, are particularly vulnerable.
Over the course of two years, Baptist Health saved more than $13M by targeting and intervening on those covered employees at risk of an avoidable ER or inpatient visit. Using the Jvion CORE, Baptist Health was able to better identify at-risk individuals and take the clinical actions that would keep them healthy and out of the hospital. They also achieved an 18% drop in readmissions over two years.
Grady Memorial Hospital: Grady Health System’s Mobile Integrated Health (MIH) program gives community-based treatment to patients who have been recently discharged from the hospital and are at risk of needing to be readmitted. The MIH group used the Jvion CORE to identify the clinical, behavioral, and socioeconomic factors contributing to the risk of a re-hospitalization; and to identify the actions that best reduce risk and promote patient engagement. The risk scores assigned by the solution enabled Grady’s MIH team to prioritize the patients that need an intervention most.
After two years, Grady saw a 10% decrease in readmissions for the population targeted by MIH and the CORE, keeping 382 people out of the hospital. The program also helped to lower the cost of care, realizing a greater than 500% return on the program in the first year and saving $700,000 in total.
Northwest Medical Specialties: Through a unique collaboration between Cardinal Health and Jvion, the clinical AI CORE is being made available to oncology practices across the United States. Northwest Medical Specialties (NWMS) is one of the initial sites implementing the solution, driving better care, smarter spending, and improved outcomes.
To date, NWMS has improved the use of pain agents, improved palliative and hospice referrals by as much as 81%, driven a 68% increase in depression screenings, and increased case management evaluations by 80%. The Jvion solution also identified patients at risk of 30-day mortality who would otherwise have been missed by conventional approaches, leading to more timely and meaningful end-of-life care conversations and better utilization of acute care resources.
Provide specific examples of implementation and outcomes use cases.
Jvion’s solutions have been applied to address multiple patient care cases, including chronic care, palliative care and ambulatory care. In chronic care cases, Jvion’s solution has been used to identify and care for those suffering from life-threatening illnesses like sepsis.
For example, Cleveland Clinic rolled out the solution to multiple locations to predict which of their patients would develop sepsis. The system provided clinicians with information about which treatments worked for patients based on their backgrounds and symptoms. In addition, it not only alerted clinicians but also suggested courses of action, such as administering medications and increasing blood monitoring.
Who are some of the clients and organizations served by the company. Name them.
Customers and partners include MayoClinic, Cleveland Clinic, Humana, CareATC, Duke Health, Cardinal Health, Baystate Health, Novant Health, Intermountain Healthcare, Augusta University Health System, Grady Medical Center and Northwell Health.
How has the innovation advanced the field of healthcare or the practice of care?
Jvion’s AI has enabled care providers to intervene with patients more effectively than ever to prevent avoidable utilization and lower the costs of care. This is particularly valuable for population health management, where case managers can have thousands of patients under their purview. The CORE can prioritize interventions for patients for whom the intervention will have the greatest impact, proactively mitigating admissions, readmissions and other preventable harm.
By taking into consideration 4,500 factors per patient, including often overlooked social determinants of health such as access to transportation and nutritious food, the CORE can provide a more holistic understanding of patient risk and what clinicians can do to improve outcomes. The data behind these insights comes from EHRs, commercial sources, as well as publicly available government datasets. This patient-level data is augmented with the latest medical literature on clinical best practices, informing the intervention recommendations to maximize their efficacy for each patient’s unique circumstances.
How is the innovation changing lives — specifically?
For late-stage cancer patients, timely palliative care referrals can improve their quality of life and chance of survival. It can also save health systems as much as $6,687 per patient. But patients ready for palliative care often go unidentified until it’s too late: as many as 68% are never referred for palliative care at all, while 22% aren’t until the last 90 days..
A recent study from doctors at Cardinal Health and Northwest Medical Specialties found that the Jvion CORE could help with the timely integration of palliative care into the treatment plan of patients with late-stage cancer. The study, which followed 21 providers managing 4,000 unique patients, found that CORE helped double palliative care consults and increased hospice referrals 12-fold over 17 months.
What is the company’s go-forward strategy? What’s next, which problem is the organization working on now, and in the future?
Jvion will continue to innovate on several fronts including:
Accuracy and robustness of AI use cases: AI has the ability to answer questions across many different use cases. Our goal is to continue refining our data science to better address risk across known risk populations as well as develop new analytic insights as our nation faces unprecedented situations like those resulting from COVID-19.
Integration strategies: Healthcare organizations continue to make significant investments in IT. Jvion is committed to lessening the IT and administrative burden that implementation of analytics and technology can take on an organization but providing seamless API and other integration mechanisms.
What are the most significant lessons learned by delivering the innovation, product or service to health systems or medical groups?
In the more than 10 years during which Jvion has partnered with healthcare organizations to help improve health outcomes, two themes have remained consistent:
Clinical validation and buy-in: While AI is not creating “new medicine” – it’s important that clinical stakeholders understand and validate the results so that the clinicians actioning on the data are confident in the data they are using to base care decisions on. Jvion has a robust clinical team that helps build and validate our analytics. Additionally, we partner with customers to understand their specific environments and how the resulting insights can best be actioned based on their existing workflows.
Clear delineation between traditional and AI based analytics: There is still confusion around what sets prescriptive analytics apart from traditional predictive analytics. It’s important to arm our customers with that knowledge through training and support services so they can advocate for the inclusion of our predictions and recommendations at different points in their workflow as either a source of truth or complimentary to other existing analytic technologies in place.