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Clinical AI that prevents avoidable patient harm

Learn how customers are using our insights to fight COVID

Jvion’s COVID Patient Vulnerability Lists Help Hospitals Proactively Respond to Pandemic

CareATC among customers using Jvion’s COVID Patient Vulnerability Lists to proactively intervene with high-risk patient populations

Atlanta, GA – March 24, 2020Jvion, the leader in clinical AI, today announced it is supporting customers in the fight against COVID by delivering COVID Patient Vulnerability Lists, which provide insights on individual patient risk to help care providers take proactive action to save lives in their communities. As of today, Jvion has provided lists to 30% of its customers, analyzing over four million patients and identifying approximately 200,000 high vulnerability patients. The patient vulnerability lists are available to all existing customers at no charge.

Leveraging a combination of claims data and publicly available data, the AI-generated lists rank hospital patient populations based on their risk for the most severe outcomes if infected. Patients are classified by their risk of hospitalization, end organ failure, and mortality as a result of infection. The lists also identify the clinical factors and social determinants of health driving their risk, including factors like unemployment, transportation access and food insecurity.

“Health systems can use this information to proactively engage patients with guidance to prevent the worst outcomes, prepare for surges of patients in advance, establish mobile testing centers for vulnerable populations, and to inform partnerships with community groups to address the top socioeconomic contributing factors,” said Dr. John Frownfelter, Chief Medical Information Officer for Jvion. “This could include providing food delivery services if transportation is limited, to protect the vulnerable from leaving their homes,” he added.

Vickie Rice, VP of Strategic Analytics at CareATC in Oklahoma, said, “With the output from Jvion’s COVID-19 list, we’ve been able to proactively reach out to those patients in our population who are most vulnerable to COVID-19, while at the same time offering our employer clients the ability to mitigate the impacts of this disease on their population.”

Other customers are using Jvion’s COVID Patient Vulnerability Lists to identify neighborhoods where mobile testing clinics are appropriate, saving vulnerable patients from a trip to the hospital where they could expose themselves to the virus.

In addition to customer-specific patient vulnerability lists, Jvion also released a COVID Community Vulnerability Map, which has received over one million views to date. The map provides a geospatial view of populations at-risk for severe outcomes, and surfaces the socioeconomic and environmental drivers for that risk. It is also overlaid with points of interest such as transportation, food sources, hospitals and health services, helping community leaders and healthcare providers deploy interventions and allocate resources.

About Jvion

Jvion enables healthcare organizations to prevent avoidable patient harm and lower costs through its AI-enabled prescriptive analytics solution. An industry first, the Jvion Machine goes beyond simple predictive analytics and machine learning to identify patients on a trajectory to becoming high risk and for whom intervention will likely be successful. Jvion determines the interventions that will more effectively reduce risk and enable clinical action. And it accelerates time to value by leveraging established patient-level intelligence to drive engagement across hospitals, populations, and patients. To date, the Jvion Machine has been deployed across about 50 hospital systems and 300 hospitals, who report average reductions of 30% for preventable harm incidents and annual cost savings of $6.3 million. For more information, visit www.jvion.com, or follow Jvion on Linkedin and Twitter.

Jvion PR Contact: Lexi Herosian lexi@scratchmm.com

COVID Response Suite

Leveraging our proven clinical AI CORE, de-identified data on 30 million patients, and social determinants of health, we are informing disease containment, prevention and management strategies for communities, patients and employers.

Map of Covid Risk

COVID Community Vulnerability Map

Surface communities at risk for severe outcomes once infected

COVID Community Vulnerability Map

Identify the communities at risk for severe outcomes as a result of COVID and the socioeconomic factors driving their risk.

The map helps inform providers, payers and government 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. A publicly available resource, the map surfaces the communities at greatest risk for severe outcomes once infected, and the socioeconomic and environmental factors influencing that risk, with resolution down to the census block group. The underlying data is also available to complement ongoing data science and modeling initiatives.

Patient at risk

COVID Patient Vulnerability List

Identify the most vulnerable patients for intervention and mitigation

COVID Patient Vulnerability List

Identify patients at risk before they present to the hospital.

Jvion customers receive a list of individuals at risk for hospitalization and/or mortality if infected with COVID, along with the clinical and socioeconomic factors influencing their risk. The Patient Vulnerability Lists enable providers, payers, and government agencies to proactively reach out to vulnerable populations, align community resources, and support chronic care and telehealth patient management.

Map of Covid Risk

COVID Inpatient Triage Assessment

Accelerate decision-making with critical real-time insights

COVID Inpatient Triage Assessment

Manage hospital capacity with rapid insights on which patients are at greatest risk.

The Inpatient Triage Assessment identifies which patients, across the entire patient population, are at greatest risk for requiring intense respiratory interventions and/or experiencing inpatient mortality if infected with COVID. These insights are delivered near the time of admission to enable real-time decisions.

Assess the risk of infection for employees

Employer Recovery Package

Assess employee infection vulnerability to inform back-to-work plans

Employer Recovery Package

Assess infection vulnerability for employees and their dependents, inform back-to-work plans, and shift logistics planning to mitigate COVID exposure.

Leveraging Jvion’s AI CORE, which analyzes the de-identified clinical data of 30 million Americans in addition to socioeconomic, environmental, and behavioral data, the COVID Employer Recovery package helps organizations inform back-to-work plans and address long-term patient safety.

Information gathered from employee sponsored health plans and/or surveys deployed to employees and their dependents is processed through Jvion’s AI CORE. The output identifies the risk for negative outcomes resulting from COVID infection for each employee and dependent for whom information is collected.

This information can be used to:

  • Match high-risk employees to low-exposure assignments
  • Target outreach and education to at-risk employees and their families to prevent infection
  • Reduce healthcare expenses from COVID infections

Underlying Jvion and geolocation data is also available to complement existing data science and modeling efforts. This helps inform:

  • Supply chain/distribution decisions
  • Missed work estimates
  • Sales estimates
  • Return to campus/work decisions

Schedule a meeting to learn more about the COVID Employer Recovery Package.

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Providers

  • Map vulnerable communities to available hospitals/beds
  • Deploy outreach and services to mitigate future exposure and surge
  • Target telehealth, mail order pharmacy and other virtual health services
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Payers

  • Identify geographic clusters of vulnerable members
  • Align and prioritize outeach and resources based on socioeconomic needs
  • Reduce healthcare costs by helping members manage chronic conditions
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Government Agencies

  • Enhance surge, resource and economic forecasting
  • Inform state re-opening strategies
  • Protect employees by understanding vulnerability to infection
Icon for healthcare providers

Employers

  • Match high-risk employees to low-exposure assignments
  • Target outreach and education to at-risk employees and their families to prevent infection
  • Reduce healthcare expenses from COVID infections

Navigating COVID with Clinical AI

Defining the Role of Clinical AI in Improving Population Health
How to Shape and Set Your Healthcare AI Goals

About Jvion

The Leader in Clinical AI that Prevents Avoidable Patient Harm

Identify

At-Risk Patients

Analyzing clinical, socioeconomic,
environmental, and behavioral data

Assess

Modifiable Patients

Pinpointing the impactable patients
likely to benefit from intervention

Intervene

Change the Outcome

Providing evidence-based, patient-
specific interventions integrated into
existing clinical workflows

Avoidable Admissions

Intercept and Course Correct

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Reduce utilization by 10% – 20% while improving health outcomes. Improve prioritization of high cost interventions. See how to intercept and course correct individuals on a trajectory toward an avoidable admission.

Avoidable Admissions

Intercept and Course Correct

The cost of an avoidable admission ranges from $10K - $20K and drives millions of dollars in unnecessary spending annually. Clinical resources are stretched thin and allocated to patients that could have been managed by an outpatient care coordinator. With the integration of clinical AI that prevents patient harm, resources can be deployed more effectively and efficiently to improve outcomes and quality of care.

Prevent avoidable admissions with clinical AI:

  • Identify individuals on a trajectory toward an avoidable hospital admission within the next 30 to 90 days
  • Intercept modifiable patients with proactive interventions to manage chronic conditions
  • Course correct patient trajectories earlier to prevent the need for inpatient care

Successful integration of Jvion’s Machine helps:

  • Reduce avoidable admissions by 10-20% to improve hospital capacity management
  • Reduce demands on high-cost resources
  • Improve prioritization of high-cost interventions

New SDOH Solution

Meeting Community Health Needs

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Drive higher patient engagement, more tailored interventions and greater alignment between community need and risk by turning socioeconomic, environmental and behavioral data into real clinical value.

New Social Determinants of Health (SDOH) Solution

Building Healthier Communities Together

Turn socioeconomic, environmental and behavioral data into real clinical value that drives higher engagement, more tailored interventions and greater alignment between community need and risk.

Jvion’s Social Determinants of Health (SDOH) solution is an analytics layer, featuring an interactive map built on Microsoft Azure. Requiring only demographic data, healthcare organizations can drill down from zip code to census tract, block and individual level risk to better understand the social barriers of the communities they serve. Left unaddressed, these barriers accelerate declining health and lead to avoidable hospital utilization amongst other challenges.

Built from the individual up, Jvion’s SDOH solution delivers actionable insights at the neighborhood, community and population level facilitating the strategic allocation of finite resources to improve the overall health of a community.

Read the press release

Integrating SDOH data into care management allows users to:

  • Align community investment to impactable drivers of risk
  • Take targeted action on the highest risk patients and populations
  • Understand community needs at the census tract level
  • Identify patients that would benefit from insurance (e.g., targeted Medicaid enrollment)

Incorporating SDOH can be transformative for care models:

  • Enhance ability to effectively address underserved populations
  • Address healthcare inequalities
  • Improve community resource strategy, allocation and impact
  • Drive better health outcomes

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.

ATLANTA, GA - March 11, 2020 - Jvion, a leader in Clinical Artificial Intelligence (AI), today announced the release of its innovative Social Determinants of Health (SDOH) solution that identifies socioeconomic barriers driving an individual’s health risk and opportunities for investment in community benefit programs to address gaps in care. Leveraging Jvion’s peer-reviewed analytics layer and Microsoft Azure Maps, the solution empowers providers and health systems to address underserved populations and inequalities in existing healthcare delivery. Jvion goes beyond helping providers better understand the impact of SDOH by offering individualized interventions that aid in aligning community benefits more effectively.

“Providers and healthcare executives recognize the growing role of socioeconomic insights in healthcare, especially in meeting the needs of underserved populations. To date, capturing that data and turning it into meaningful and actionable intelligence has proved elusive for many,” said Shantanu Nigam, CEO of Jvion. “Our unique approach turns socioeconomic, environmental, and behavioral data into real clinical value that drives higher engagement, more tailored interventions, and greater alignment between need and risk, resulting in better outcomes for individuals and the community as a whole.”

As alignment and access to community benefit programs continue to be the cornerstone of building healthier communities, providers need appropriate insight into their populations and individual healthcare needs. Hospitals spent $95 billion on community benefits in the most recent year data is available (American Hospital Association), and increasingly both federal and state regulators are seeking clarity on what benefits are being provided to communities with this spend and their impact. Jvion’s SDOH solution not only fulfills the federal and state assessment needs for healthcare izations, but also strategically informs providers where to allocate their community benefit spend toave the greatest level of impact.

Jvion’s SDOH solution requires limited input from providers and none from patients, largely relying on its high-performing AI approach, which leverages a global instance of de-identifiedents to power the inferential outputs of the solution. Through this approach, the community inherits the attributes of the individual versus traditional methods, which apply communitylities to thndividual. The SDOH solution features an interactive map interface built using Microsoft Azure maps and a web-based portal.

“We’re pleased that this technology collaboration is helping healthcare organizations in transforming patient care and their businesses. The Microsoft platform helps responsibly unify people, devices, apps and information by prioritizing compliance, security and trust,” said Gareth Hall, director of business strategy for Worldwide Healthcare at Microsoft. “Our partners are critical in helping healthcare organizations use technology to address industry challenges and seize opportunities to impact people’s lives in a positive way. The combination of the Microsoft platform and partner innovation is key to helping our industry transform.”

The Jvion SDOH solution is now available. Register here to schedule a virtual demo. Additional information is available at https://jvion.com/jvionclinicalai/.

The latest KLAS report, “Healthcare AI 2019 - Actualizing the Potential of AI,” recognized Jvion as having “by far the largest client base in the healthcare AI market," and "the largest offering of pre-built healthcare content for machine learning models/vectors." Additionally, Jvion was featured in the CB Insights Digital Health 150, showcasing the most promising private digital healthcare companies in the world.

About Jvion

Jvion enables healthcare organizations to prevent avoidable patient harm and lower costs through its AI-enabled prescriptive analytics solution. An industry first, the Jvion Machine goes beyond simple predictive analytics and machine learning to identify patients on a trajectory to becoming high risk and for whom intervention will likely be successful. Jvion determines the interventions that will more effectively reduce risk and enable clinical action. And it accelerates time to value by leveraging established patient-level intelligence to drive engagement across hospitals, populations, and patients. To date, the Jvion Machine has been deployed across about 50 hospital systems and 300 hospitals, who report average reductions of 30% for preventable harm incidents and annual cost savings of $6.3 million. For more information, visit www.jvion.com.

Stop Sepsis

Know Who Is At-Risk and Proactively Intervene

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Decrease sepsis incidence by > 10% with early detection and proactive intervention. Shift sepsis efforts from secondary to primary prevention by knowing who is at risk before they present any clinical signs. Intervene before it's too late.

Stop Sepsis

Know Who is At-Risk and Proactively Intervene

Sepsis kills nearly 270,000 Americans each year. It has a significant impact on length of stay (LOS), mortality and cost of care. Late detection and intervention results in significant levels of preventable harm and increased mortality rates as well as unnecessary strain on already strained resources.

Identify sepsis before it happens and stop it with Jvion by:

  • Driving the primary prevention of sepsis by predicting (not detecting) patients at risk of developing sepsis during their inpatient stay
  • Guiding proactive secondary prevention of sepsis by facilitating rapid recognition and management so that care teams can act more quickly, and hyper-vigilance is enabled
  • Recommending the proactive interventions most likely to reduce the patient's risk of sepsis

Successful integration of Jvion's engine helps:

  • Improve allocation of staff resources by reducing up to 45% of work related to sepsis detection and prevention.
  • Outperform all other modalities
  • Reduce sepsis incidence by >10% on average