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A new model for care population management.

Jeni Williams¹

¹HFMA, Westchester, IL, USA.

Healthcare Financial Management : Journal of the Healthcare Financial Management Association

|March 22, 2013

Summary

This summary is machine-generated.

Building a population health management model requires identifying the target population and analyzing their utilization and costs. Key steps include investing in data infrastructure, assessing financial risk, and piloting new care delivery and payment strategies.

Related Experiment Videos

Area of Science:

Healthcare Management
Health Services Research
Public Health

Background:

Population management initiatives are crucial for optimizing healthcare delivery and costs.
Effective population health strategies require a systematic approach to planning and implementation.

Purpose of the Study:

To outline essential steps for developing a robust population management model of care.
To provide a framework for healthcare organizations seeking to implement population health strategies.

Main Methods:

Identifying the specific patient population for the initiative.
Conducting actuarial analysis using historical utilization and cost data.
Assessing organizational capacity for financial risk and exploring new payment and care delivery models.

Main Results:

The process involves data-driven analysis, risk assessment, and strategic experimentation.
Investment in data infrastructure is critical for seamless data exchange.
Hiring care coordinators is recommended for managing high-risk patients.

Conclusions:

Successful population management necessitates a comprehensive approach encompassing population identification, financial analysis, data infrastructure, risk management, and innovative care delivery.
The model emphasizes proactive care coordination and data-driven decision-making for improved outcomes.