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Optimizing Clinical Decision Support System Functionality by Leveraging Specific Human-Computer Interaction Elements:

Ali Azadi1, Francisco José García-Peñalvo1

  • 1GRIAL Research Group, Computer Science Department, Universidad de Salamanca, Salamanca, Spain.

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Summary
This summary is machine-generated.

Identifying key human-computer interaction (HCI) elements is crucial for optimizing clinical decision support systems (CDSSs). This study found 12 HCI elements that enhance CDSS usability, efficiency, and user satisfaction for better healthcare decisions.

Keywords:
artificial intelligenceclinical decision support systemhuman-computer interactionusabilityuser-centered design

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Area of Science:

  • Medical Informatics
  • Human-Computer Interaction (HCI)
  • Health Systems Engineering

Background:

  • Clinical Decision Support Systems (CDSSs) are vital for improving healthcare decision-making.
  • Optimizing CDSS effectiveness necessitates understanding human-computer interaction (HCI) elements.
  • User acceptance and system functionality are significantly influenced by HCI factors.

Purpose of the Study:

  • To identify and categorize key HCI elements impacting CDSS performance.
  • To enhance CDSS usability, adaptability, and decision-making accuracy.
  • To provide a framework for integrating HCI principles into CDSS design.

Main Methods:

  • Systematic literature review of 923 studies from PubMed, Scopus, and Web of Science.
  • Rigorous screening, quality assessment, and data extraction of relevant papers.
  • Inclusion of 43 studies focusing on HCI elements within CDSS environments.

Main Results:

  • Identified 12 distinct HCI elements influencing CDSS functionality, aligned with ISO 9241-11 usability principles.
  • Categorized elements based on their impact on effectiveness (e.g., visibility, explainability), efficiency (e.g., ease of use), and satisfaction (e.g., user satisfaction, flexibility).
  • Highlighted the context and task dependency of usability, emphasizing the need for tailored HCI element application in CDSS.

Conclusions:

  • A comprehensive framework of HCI elements for CDSS environments has been established.
  • Incorporating these HCI elements can improve user satisfaction, reduce errors, and enhance medical decision accuracy.
  • Findings provide practical guidelines for developing more reliable and efficient CDSS in medical informatics.