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Model for Evaluating the Implementation of a Third Generation EHR System.

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  • 1COMA, Department of Political Science, Aalborg University.

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|August 22, 2019
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Summary
This summary is machine-generated.

This study reviews electronic health record (EHR) implementation theories, proposing a new model for evaluating advanced EHR systems. It examines leadership, staff perception, and care quality to guide future EHR adoption strategies.

Keywords:
Electronic Health RecordEvaluationImplementationManagement

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Area of Science:

  • Health Informatics
  • Information Systems Research
  • Healthcare Management

Background:

  • Traditional electronic health record (EHR) implementation theories were developed when EHRs replaced paper records.
  • Current EHR implementation evaluation approaches may not adequately address systems used by experienced staff.
  • Third-generation EHR systems present unique challenges and opportunities for evaluation.

Purpose of the Study:

  • To review existing theoretical approaches for EHR system implementation.
  • To discuss the adequacy of current theories for evaluating third-generation EHR systems.
  • To propose a novel model for understanding EHR implementation dynamics and their impact on care quality.

Main Methods:

  • Literature review of prominent EHR implementation theories.
  • Conceptual analysis of the applicability of existing theories to advanced EHR systems.
  • Development of a conceptual model linking leadership, departmental EHR implementation, staff perception, and quality of care.

Main Results:

  • Existing EHR implementation theories may be outdated for current advanced systems.
  • A new model is proposed to understand the interplay between leadership, EHR adoption, staff perception, and quality of care.
  • Five testable hypotheses are outlined for empirical evaluation.

Conclusions:

  • A revised theoretical framework is needed for evaluating modern EHR systems.
  • Leadership and staff perception are critical factors influencing EHR implementation success and quality of care.
  • The proposed model provides a foundation for future research on optimizing EHR system integration and impact.