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Analysis of empty responses from electronic resources in infobutton managers.

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This study introduces a new method to analyze infobuttons, which provide educational materials in electronic health records. The findings offer suggestions for improving infobutton performance and user experience.

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Area of Science:

  • Health Informatics
  • Medical Informatics
  • Clinical Decision Support

Background:

  • Infobuttons are crucial for delivering context-aware educational materials within electronic health records (EHR) and patient health records (PHR).
  • Limited analysis exists on the content and performance of responses generated by infobutton managers from various electronic resources (e-resources).

Purpose of the Study:

  • To develop and implement a tool for the automated analysis of infobutton manager responses.
  • To evaluate infobutton performance based on concept frequency, patient portal modules, e-resource type, and access method (HL7 standard vs. non-standard).

Main Methods:

  • A novel tool was created to retrieve and analyze infobutton responses.
  • Common and uncommon concepts were extracted from EHR data for testing.
  • Infobutton performance was assessed across diverse categories.

Main Results:

  • The study provides a framework for evaluating infobutton effectiveness.
  • Performance varied based on concept frequency, portal module, e-resource, and HL7 standardization.
  • Specific areas for infobutton enhancement were identified.

Conclusions:

  • Automated analysis of infobutton responses is feasible and valuable.
  • Prioritizing e-resource access and promoting HL7 standardization can improve infobutton functionality.
  • Further enhancements are recommended for optimizing infobuttons in EHR/PHR systems.