What You Should Know:
- Jvion Launches COVID-19 Community Vulnerability Map to identify the social determinants of health (SDOH) that put populations at greater risk, informing community planning and resource allocation to proactively mitigate the risk to vulnerable populations.
- The Community Vulnerability Map allows users to search and drill down into communities to view populations most vulnerable for severe outcomes if infected with a COVID-like virus and the socioeconomic
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Jvion Launches AI-Powered Social Determinants of Health Solution
What You Need to Know:
- Jvion launches Social Determinants of Health solution enabling healthcare organizations to align community resources to identify gaps and social barriers to care.
- 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
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CB Insights Unveils ‘Digital Health 150’ List of Startups Transforming Healthcare
- CB Insights unveils first-ever annual ‘Digital Health 150’ list of digital health startups working to transform the healthcare industry.
- The Digital Health 150 companies span a wide spectrum of categories that involve all three key stakeholder groups for the healthcare industry — providers, payers, and patients.
- A total of 17 companies on the list are unicorns (private companies valued at $1B+). Of these, 12 companies are US-based, 3 are based in China, 1 is based in France, and 1
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Novant Health Taps Jvion As Inaugural Partner for its Institute of Innovation & Artificial Intelligence
- Novant Health names Jvion as the inaugural partner for their Institute of Innovation and Artificial Intelligence. - Together, Jvion will identify Novant patients with a preventable risk of CHF readmission and recommend patient-specific interventions to prevent readmission.Today, Novant announced the inaugural partner for their Institute of Innovation and Artificial Intelligence would be Jvion, a leader in prescriptive analytics for preventable harm. Together, they aim to use Jvion's AI-enabled
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DSS, Jvion Partner to Enhance AI-Driven Health Outcomes for Veterans
Document Storage Systems, Inc. (DSS, Inc.), a provider of health information technology (HIT) solutions for federal, private and public healthcare organizations, today announced a partnership with Jvion, Inc., developer of an artificial intelligence (AI) solution. The partnership will deliver patient-specific risk propensity and clinical action recommendations that will improve the health of Veterans.With the combined power of Jvion’s Cognitive Clinical Success Machine and DSS’s implementation
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Jvion Acquires Predictive Analytics Firm Predixion’s Healthcare IT Practice
Jvion, an Atlanta-based cognitive clinical science machine firm has acquired predictive analytic firm Predixion’s Healthcare IT practice for an undisclosed sum. For Jvion, the acquisition will help augment the company'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.Predixion, which raised $42M+ to date, received $20M in its third round of investment and is backed by giants
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Survey: Only 15% of Providers Use Predictive Analytics
Driven by the shift to value-based health care, advanced predictive analytics are gaining a larger footprint as providers search for analytic capabilities that will help them prevent patient illness, avoid penalties, and reduce the cost of care. This new landscape requires a different analytic approach that can identify at-risk patients before they get sick so that interventions can be applied and penalties avoided.
Despite the growing need, only 15 percent of providers are
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The 5 Biggest Lessons in ICD-10 Clinical Documentation Success
Atlanta-based Jvion—a healthcare technology company providing solutions to reduce clinical and financial waste—recently released their latest whitepaper “Measure Twice, Cut Once: 5 Biggest Lessons in ICD-10 Documentation Success.”
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