Top Patient Data Points Evaluated for Health Risk Stratification
Healthcare Performance Benchmarks
November 23, 2016 Vol. VII Issue 21

Top Patient Data Points
Evaluated for
Health Risk Stratification

Top Patient Data Points Evaluated for Health Risk StratificationClinical data, followed by utilization data, are the leading patient data points healthcare organizations use to stratify high-risk patients, according to the 2016 Healthcare Benchmarks: Stratifying High-Risk Patients. Eight other potential patient data points were also identified by the survey.

Click here to view a printable version of the chart and discover these additional data points used in stratifying high-risk patients.

To get access to dozens of metrics and benchmarks on stratifying high-risk patients, download your copy of 2016 Healthcare Benchmarks: Stratifying High-Risk Patients for $120.

2016 Healthcare Benchmarks: Stratifying High-Risk Patients 2016 Healthcare Benchmarks: Stratifying High-Risk Patients captures the latest tools and practices employed by healthcare organizations across the care continuum as they risk-stratify patients and health plan members in preparation for care management.

This 40-page report, based on responses to HIN's second comprehensive industry survey on health risk stratification, assembles a wealth of metrics on indexing individuals by health severity before matching them to risk-related interventions—case management, health coaching, home health monitoring, or more intensive management.

And as organizations acclimate to segmenting populations by health risk levels, this report also documents the emerging trend of targeting 'rising risk' patients with the goals of encouraging behavior change and heading off adverse and costly health events and utilization.

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This chart is sponsored by: Social Determinants and Population Health: Moving Beyond Clinical Data in a Value-Based Healthcare System

Missed last week's chart? View What Are the Top Metrics for Evaluating Health Coaching Success?

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© 2016 Healthcare Performance Benchmarks by Healthcare Intelligence Network.
Editor: Patricia Surdovel, psurdovel@hin.com;
Publisher: Melanie Matthews, mmatthews@hin.com

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