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Related Experiment Videos

Implementing clinical information systems: a multiple-case study within a US hospital.

Guy Paré1

  • 1Service de l'enseignement des technologies de l'information, Ecole des Hautes Etudes Commerciales, 3000, Chemin de la Côte Ste-Catherine, Montreal, Quebec, Canada H3T 2A7. guy.pare@hec.ca

Health Services Management Research
|May 25, 2002
PubMed
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Implementing clinical information systems in healthcare is complex and often fails. This study explores the dynamic nature of these IT implementations to understand why they succeed or fail, offering new insights for health informatics.

Area of Science:

  • Health Informatics
  • Information Technology Management
  • Healthcare Information Systems

Background:

  • Healthcare organizations face challenges managing rapid IT adoption.
  • Many health informatics projects incur significant costs and yield poor results.
  • Understanding the complexities of clinical information system implementation is crucial.

Purpose of the Study:

  • To provide a deeper understanding of clinical information systems implementation.
  • To build a theory explaining the dynamic nature of the implementation process.
  • To identify the 'how' and 'why' behind successful and unsuccessful implementations.

Main Methods:

  • Case study research inspired by Eisenhardt (1989).
  • Examination of the implementation, use, and consequences of three distinct clinical information systems.

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  • Analysis conducted at a large tertiary care teaching hospital.

    • Main Results:

    • Four research propositions on the dynamic nature of implementation were developed.
    • Empirical insights into the process, use, and outcomes of clinical information systems were generated.
    • New perspectives were added to the fields of IT implementation and medical informatics.

    Conclusions:

    • Clinical information system implementation is a dynamic process requiring deeper theoretical understanding.
    • The study offers valuable empirical data and theoretical propositions for improving IT project success in healthcare.
    • Findings contribute to the existing body of knowledge in health informatics and IT management.