Analytics
Julie Harris, Children's Health Alliance senior director of population health, explains how giving providers more information at the point of care by tracking 35 key quality measures reduces their burdens in meeting value-based incentive targets.
As Italy develops a national digital strategy requiring healthcare data exchange across all 20 of its regions, Marco Foracchia, AUSL Reggio Emilia CIO, recommends first steps for hospitals that haven't yet begun digital transformation.
Lightbeam Health Solutions uses predictive analytics and AI to help payers and health systems determine patients' risk profiles and assign the patients to the most appropriate care path. Jerry Shultz, its president, explains.
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Henry Yoo, general manager at Medicore, South Korea, discusses the company's device, developed with data from both Asian and Western patients, which measures heart rate variability as an indicator of stress and cardiovascular health.
In her AI classes for medical students, Stéphanie Allassonière, professor of applied mathematics at the Univérsite Paris Cité, first teaches them how to properly collect and clean data to get the most accurate responses out of AI tools.
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According to Heuron CEO Myung-Jin Shin, the company's AI software can identify hemorrhages and assess stroke severity in under three minutes by analyzing a single scan. The company claims to be the first to diagnose Parkinson's via MRI.
Sharing real-world patient data with researchers could help optimize clinical trials and drive discoveries in precision medicine, says Gaurav Sharma, senior director, global client partner at Cognizant.
Anne Snowdon, chief scientific research officer at HIMSS, explains that interoperability is fundamental to enabling data-informed patient care decisions and is required for the use of AI and advanced analytics tools.
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Ricardo Jorge Constantino, head of Clinical Innovation Europe at NTT DATA, describes innovation in clinical trials and measures to drive rapid adoption of insights from these trials into clinical practice.
ZeOmega uses AI to identify vulnerable patient populations and suggest ways to improve their health outcomes. Pravin Pant, the company's VP of advanced analytics, and Michael Gould, its associate VP of interoperability strategy, explain.