What Are the Top Stratification Tools for Telephonic Case Management?

Healthcare Performance Benchmarks
October 1, 2014 Vol. IV Issue 39

Top Risk Stratification Tools
for Telephonic Case Management

Top Stratification Tools for Telephonic Case Management This Week's Challenge: More than half of healthcare organizations tap into telephonic case management to expand the reach of care coordination to high-risk, high-cost patients, according to HIN's 2014 Telephonic Case Management survey. This week's data point identifies the most common patient stratification tools utilized by telephonic case managers who want to impact populations with chronic disease.

Click here to view a printable version of the chart and to determine the top stratification tools for telephonic case management.

To get instant access to dozens of graphs and tables on stratifying high-risk, high-cost patients, order a PDF version of Stratifying High-Risk, High-Cost Patients: Benchmarks, Predictive Algorithms and Data Analytics for $99.

Stratifying High-Risk, High-Cost Patients: Benchmarks, Predictive Algorithms and Data AnalyticsStratifying High-Risk, High-Cost Patients: Benchmarks, Predictive Algorithms and Data Analytics presents a range of risk stratification practices to determine candidates for health coaching, case management, home visits, remote monitoring and other initiatives designed to engage individuals with chronic illness, improve health outcomes and reduce healthcare spend.

This chart is sponsored by: Creating a Virtual Multi-Specialty Physician Network: A Payor-Provider Telehealth Collaborative.

Missed last week's chart? View Top Patient-Level Strategies to Reduce Avoidable ER Use?.

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Take this month's e-survey: Embedded Case Management in 2014.

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Download new market research: Remote Monitoring in 2014: Connections Curtail Utilization, Cost in Chronic Illness.

Infographic: Healthcare and Big Data.

Read related blog post: 6 Ways to Overcome Pushback to Embedded Case Management

© 2014 Healthcare Performance Benchmarks by Healthcare Intelligence Network.
Editor: Patricia Surdovel, psurdovel@hin.com;
Publisher: Melanie Matthews, mmatthews@hin.com

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