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An Information Quality Framework for Managed Health Care.

Grace Crossette-Thambiah1, Daniel Berleant1, Ahmed AbuHalimeh1

  • 1Department of Information Science, University of Arkansas at Little Rock, Little Rock, AR, USA.

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|October 3, 2024
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Summary
This summary is machine-generated.

This study introduces an information quality framework for managed healthcare, addressing challenges in data integration, standardization, and validation. It empowers organizations to enhance data objectivity, utility, and integrity for better decision-making and patient outcomes.

Keywords:
data governancedata managementdata qualityinformation qualityinformation quality frameworkmanaged health caremanaged healthcare

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Area of Science:

  • Healthcare Management
  • Information Science
  • Data Quality Assurance

Background:

  • Accurate data is vital for decision-making, operations, and patient outcomes in managed healthcare.
  • Managed care organizations face significant data quality challenges due to complex data sources and regulatory demands.
  • Effective data management practices are essential for ensuring information quality.

Purpose of the Study:

  • To develop and justify a novel information quality framework tailored for the managed healthcare sector.
  • To address the unique information quality challenges faced by managed care organizations.
  • To provide practical guidelines for improving data management and decision-making.

Main Methods:

  • Developed a framework based on existing information quality models.
  • Conducted a qualitative survey with 20 managed healthcare industry leaders.
  • Analyzed interview responses to identify domain-specific information quality needs.

Main Results:

  • The proposed framework integrates strategies for data integration, standardization, and validation.
  • Justification draws from existing literature, information quality frameworks, and industry leader insights.
  • The framework emphasizes objectivity, utility, integrity, and standardization.

Conclusions:

  • The developed framework offers practical guidelines for managed healthcare organizations.
  • It empowers organizations to effectively manage information quality within the managed care model.
  • Adherence to the framework pillars can improve data reliability and support optimal patient outcomes.