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A framework for information system usage in collaborative care.

David A Dorr1, Spencer S Jones, Adam Wilcox

  • 1Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR, USA. dorrd@ohsu.edu

Journal of Biomedical Informatics
|November 14, 2006
PubMed
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A new framework helps assess clinical information systems (CIS) for chronic disease care. It identifies key functions in access, best practices, and communication (ABC) that improve patient outcomes and clinician adherence to guidelines.

Area of Science:

  • Health Informatics
  • Clinical Systems Research
  • Chronic Disease Management

Background:

  • Clinical information systems (CIS) play a crucial role in patient care quality.
  • Their application in collaborative chronic disease treatment requires specific functional assessment.
  • Existing systems may not be optimized for the complexities of multidisciplinary chronic care.

Purpose of the Study:

  • To develop a framework for evaluating the usefulness of CIS functions in improving patient outcomes within collaborative chronic disease care settings.
  • To identify and categorize key CIS functions critical for effective collaborative treatment.

Main Methods:

  • A review of CIS use in collaborative care environments was conducted.
  • Functions were categorized into Access, Best Practices, and Communication (ABC).

Related Experiment Videos

  • The HL7 Electronic Health Record Systems functional model was used to identify and map relevant functions, which were then tested on patient data.

    • Main Results:

    • Out of 133 HL7 elements, 60 were deemed important for collaborative care, with moderate agreement on importance but high agreement on ABC categorization.
    • Usage rates per episode of care were recorded: Access (4.4), Best Practices (0.8), and Communication (2.9) for 1105 patients.
    • Specific CIS functions, particularly those related to best practices, showed an association with improved clinician adherence to testing guidelines.

    Conclusions:

    • The developed framework offers a potential method for assessing and comparing CIS effectiveness in collaborative care.
    • The study highlights the importance of specific CIS functionalities in enhancing chronic disease management.
    • Further refinements to the model are suggested for future research and application.