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Optimization of infobutton design and Implementation: A systematic review.

Miguel Teixeira1, David A Cook2, Bret S E Heale3

  • 1Department of Internal Medicine, Mayo Clinic, Rochester, MN, United States; Department of Anesthesiology, Mayo Clinic, Rochester, MN, United States.

Journal of Biomedical Informatics
|August 26, 2017
PubMed
Summary
This summary is machine-generated.

Infobuttons are clinical decision tools that link patient data to knowledge resources. While the HL7 Infobutton standard facilitates adoption, further research is needed to improve user experience and increase infobutton effectiveness in clinical settings.

Keywords:
Decision support systemsHealth information technologyInfobuttonInformation needsMachine learningMedical informatics applications

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Area of Science:

  • Health Informatics
  • Clinical Decision Support Systems
  • Information Retrieval

Background:

  • Infobuttons are integrated into electronic health records to connect clinical data with relevant knowledge resources.
  • Technical approaches for optimizing infobutton design, implementation, and functionality require systematic review.

Purpose of the Study:

  • To systematically review technical approaches that enhance the design, implementation, and functionality of infobuttons.
  • To identify best practices for infobutton development and assess current research gaps.

Main Methods:

  • A systematic literature search was conducted in MEDLINE, EMBASE, and the Cochrane Library up to March 1, 2016.
  • Selected studies included comparative reviews, usability studies, and qualitative research on infobutton design and implementation.
  • Data abstracted included usability measures, prediction accuracy of retrieval algorithms, and infobutton adoption/interoperability.

Main Results:

  • Of 82 studies identified, 12 were detailed. Research focused on interoperability, tailoring functionality, user experience, and content retrieval.
  • The Health Level Seven (HL7) Infobutton standard is easy to implement and has supported wide adoption.
  • Usability studies showed familiar resources and links to specific drug monograph subsections improved satisfaction and efficiency, but not usage uptake.
  • Machine learning algorithms outperformed rules in predicting relevant resources in lab settings, but clinical application studies are lacking.
  • Improved content indexing enhanced retrieval across multiple healthcare organizations.

Conclusions:

  • Optimal technical approaches for infobuttons remain understudied.
  • The HL7 Infobutton standard aids adoption, but evidence for enhancements like specific subtopic links or task-specific configurations is limited.
  • Further research is essential to improve user experience and increase the use and effectiveness of infobuttons in clinical practice.