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Managing interoperability and complexity in health systems.

M-M Bouamrane1, C Tao, I N Sarkar

  • 1Dr. Matt-Mouley Bouamrane, Institute of Health & Well-being, University of Glasgow, General Practice & Primary Care, 1 Horslethill Road , Glasgow G12 9LX, UK,

Methods of Information in Medicine
|January 13, 2015
PubMed
Summary
This summary is machine-generated.

Clinical informatics systems have advanced, yet fully integrated health information ecosystems are still a challenge. This review explores interoperability and complexity issues, proposing solutions for better data integration and knowledge extraction.

Keywords:
Medical informaticsbiological ontologiesclassificationhealth information managementinformation storage and retrievalknowledge basessystematized nomenclature of medicinesystems integration

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Area of Science:

  • Health Informatics
  • Clinical Information Systems
  • Health Information Exchange

Background:

  • Clinical informatics systems have progressed in supporting care, knowledge management, data analysis, and resource management.
  • Fully integrated health information ecosystems providing point-of-care information remain an elusive goal.

Purpose of the Study:

  • To review enduring challenges in interoperability and complexity within clinical informatics systems.
  • To propose approaches for resolving these issues and achieving greater health information system integration.

Main Methods:

  • Literature review and thematic analysis of current challenges in clinical informatics.
  • Exploration of proposed strategies for enhancing health information system interoperability and knowledge extraction.

Main Results:

  • Significant progress in clinical informatics is acknowledged, but major hurdles in system integration persist.
  • Enduring challenges of interoperability and complexity are identified as key barriers.

Conclusions:

  • Resolving interoperability and complexity issues is crucial for realizing integrated health information ecosystems.
  • Proposed approaches aim to improve data integration and extract novel knowledge from diverse electronic health records.