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Identifying Influential Theories in Human-Computer Interaction Within Health Informatics: A Systematic Review.

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Human-Computer Interaction (HCI) theories like UTAUT and TAM are increasingly used to improve digital health tools. This review synthesizes their application in health informatics for better system design and user adoption.

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Area of Science:

  • Health Informatics
  • Human-Computer Interaction (HCI)
  • Digital Health Technologies

Background:

  • Digital transformation in healthcare necessitates effective health information systems (e.g., EHRs, mHealth).
  • Optimal user interaction with these systems remains a significant challenge.
  • HCI provides theoretical frameworks to enhance the design, usability, and adoption of digital health tools.

Purpose of the Study:

  • To systematically review and synthesize the most frequently applied HCI theories in health informatics.
  • To examine the relevance of these HCI theories across various digital health technologies.

Main Methods:

  • A systematic review following PRISMA 2020 guidelines.
  • Searched PubMed, Web of Science, and Google Scholar without date restrictions.
  • Included studies applying a defined HCI theory to health information technologies; excluded review/conceptual papers.

Main Results:

  • HCI theory application in health IT has surged since 2015, particularly post-2020.
  • Most frequent theories: Unified Theory of Acceptance and Use of Technology (UTAUT), Technology Acceptance Model (TAM), Social Cognitive Theory (SCT).
  • mHealth applications (37%) were the primary focus, followed by hospital information systems and web-based tools. Top contributing countries: US, UK, Australia.

Conclusions:

  • HCI theories are crucial for enhancing the design, usability, and implementation of health information systems.
  • Integrating user-centered theoretical frameworks is essential for successful system development.
  • Future research should prioritize broader geographic and contextual diversity in theory-based studies.