Across the healthcare continuum, a range of tools and practices help to identify and stratify high-risk, high-cost patients and determine appropriate interventions. Most critical to the stratification process is clinical patient data, say an overwhelming 87 percent of respondents to the Healthcare Intelligence Network's (HIN) inaugural survey on Stratifying High-Risk Patients. However, obtaining and verifying patient data remain major challenges for many respondents.
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Customized reports, including benchmark results by industry sector, are available upon request.
This white paper is an excerpt from 2014 Healthcare Benchmarks: Stratifying High-Risk Patients, which captures the tools and practices employed by dozens of organizations in this prerequisite for care management and jumping-off point for population health improvement — data analytics that will ultimately enhance quality ratings and improve reimbursement in the industry's value-focused climate. Click here for more information.
This 40-page report, based on responses to HIN's inaugural industry survey on health risk stratification, assembles a wealth of metrics on indexing by severity the most vulnerable patients and health plan members and matching them to risk-related interventions — case management, health coaching, home health monitoring, or more intensive management.
The report, which breaks down findings by high-responding industry sectors, is inclusive of the following data set:
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Melanie Matthews
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