The Latest in Predictive Analytics

Infographic: The HBI Story

Get an overview of who HBI Solutions is, what we do and the difference our Spotlight Risk Management Solution can make for healthcare organizations today.

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Defining and characterizing the critical transition state prior to the type 2 diabetes disease

Summary: Analysis of a patient’s pre-disease clinical history can provide early warning of an impending Type 2 Diabetes diagnosis. This allows providers to take proactive steps to prevent or delay onset of the disease. In this study, HBI used longitudinal EHR data from the Maine State Health Information Exchange to identify a dynamic driver network (DDN) and associated critical transition state six months prior to diagnosis.

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HIMSS 2017 Recap

The two companies will offer a comprehensive solution to streamline adoption of advanced predictive analytics capabilities to prepare healthcare organizations for value-based care.

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Web-based Real-Time Case Finding for the Population Health Management of Patients With Diabetes Mellitus: A Prospective Validation of the Natural Language Processing–Based Algorithm With Statewide Electronic Medical Records

Summary: Diabetes case finding based on structured medical records does not fully identify diabetic patients whose medical histories related to diabetes are available in the form of free text. Manual chart reviews have been used but involve high labor costs and long latency.

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