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Managing care, managing change, managing information.

L Dunham1

  • 1Harris Methodist Fort Worth, TX, USA.

Journal of AHIMA
|March 8, 1998
PubMed
Summary

Managed care requires longitudinal health data, not just episodic records. Rethinking data storage and use, alongside process assessment and benchmarking, can improve health information management (HIM) effectiveness.

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Area of Science:

  • Health Information Management
  • Managed Care Analytics
  • Healthcare Data Science

Background:

  • Managed care models necessitate a shift from episodic to longitudinal data analysis.
  • Traditional data management approaches may not adequately support the continuous information needs of managed care.

Purpose of the Study:

  • To explore the evolving data demands within managed care environments.
  • To identify strategies for enhancing the effectiveness of Health Information Management (HIM) professionals.

Main Methods:

  • Analysis of data requirements in managed care settings.
  • Evaluation of process assessment techniques.
  • Application of benchmarking methodologies.

Main Results:

  • Identified specific ways to address longitudinal data demands.
  • Demonstrated the utility of process assessment for HIM.
  • Highlighted the benefits of benchmarking for HIM professionals.

Conclusions:

  • A longitudinal approach to data is crucial for managed care.
  • Process assessment and benchmarking are key tools for effective HIM in managed care.
  • Adapting data strategies is essential for optimizing HIM performance.

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