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A Coding Framework for Usability Evaluation of Digital Health Technologies.

Mahdi Ebnali1,2, Lauren R Kennedy-Metz3,4, Heather M Conboy1,2,3,4

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Summary
This summary is machine-generated.

This study introduces a new framework to analyze clinician feedback on digital health tools, addressing usability issues and improving system design for better patient care. The method captures role-specific challenges to enhance adoption of health technologies.

Keywords:
Decision support systemDigital healthUsability study

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Area of Science:

  • Health Informatics
  • Human-Computer Interaction
  • Clinical Systems Engineering

Background:

  • Clinician adoption of digital health technologies, like clinical decision support systems, is hindered by poor usability and workflow integration.
  • Existing guidelines for analyzing usability data from digital health technologies are limited.
  • Understanding user feedback is crucial for improving the design and implementation of these systems.

Purpose of the Study:

  • To develop a systematic coding framework for evaluating clinician feedback on digital health technologies.
  • To incorporate user roles and a quantitative voting system for data-driven design modifications.
  • To assess the framework's feasibility and utility in a complex clinical setting.

Main Methods:

  • Developed a coding framework based on usability principles and design components.
  • Included a category for clinical role-specific feedback and a voting system for prioritizing modifications.
  • Applied the framework to an electronic cognitive aid in a cardiac operating room setting.

Main Results:

  • The developed framework systematically evaluated user feedback, identifying role-specific usability challenges.
  • The coding framework and voting system proved feasible and useful for understanding and recommending system improvements.
  • The use case demonstrated the framework's ability to inform modifications from clinical, technical, and usability perspectives.

Conclusions:

  • The proposed framework offers a systematic approach to analyzing clinician feedback on digital health technologies.
  • This method can enhance the design and development of digital health systems, improving usability and adoption.
  • The framework is applicable to complex clinical environments to improve patient care and safety through better technology integration.