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Predicting COVID-19 Reemergence Among Previously Recovered Cases

Predicting COVID-19 Reemergence Among Previously Recovered Cases

by Laura Kanov | May 13, 2020 | Blog

Challenge Policy makers and businesses across the globe are struggling to determine when and how to return to normalcy, balancing health safety with economic pressures and needs. And while most are focusing on susceptibility, case count, deaths and recovery rates one...
Identification of elders at higher risk for fall with statewide electronic health records and a machine learning algorithm

Identification of elders at higher risk for fall with statewide electronic health records and a machine learning algorithm

by Laura Kanov | May 9, 2020 | Publications

Back to News Identification of elders at higher risk for fall with statewide electronic health records and a machine learning algorithm   International Journal of Medical Informatics     The Problem More than a third of community-dwelling older adults are...
HBI Spotlight Supporting COVID-19 Outreach for At-Risk Populations

HBI Spotlight Supporting COVID-19 Outreach for At-Risk Populations

by Laura Kanov | Mar 31, 2020 | Blog

Authored by: Laura Kanov, Senior Vice President, Product Strategy Amid the COVID-19 crisis sweeping the nation, HBI clients are able to identify at-risk populations for outreach or resource planning using robust filters in Spotlight Population Risk Management. Easy...
HBI Solutions Among NCQA’s Certified Vendors for 2020 HEDIS® Measures

HBI Solutions Among NCQA’s Certified Vendors for 2020 HEDIS® Measures

by Laura Kanov | Mar 19, 2020 | Blog

Authored by: Laura Kanov, Senior Vice President, Product Strategy A long time leader in predictive analytics for healthcare, HBI Solutions now counts itself among those vendors certified by NCQA on a partial list of 2020 HEDIS® measures earlier this month. Available...
Development of an early-warning system for high-risk patients for suicide attempt using deep learning and electronic health records

Development of an early-warning system for high-risk patients for suicide attempt using deep learning and electronic health records

by Laura Kanov | Mar 1, 2020 | Publications

Back to News Development of an early-warning system for high-risk patients for suicide attempt using deep learning and electronic health records Nature.com   Summary: Suicide is taking our children, plaguing our veterans and poisoning troubled minds as a viable...
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