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User-Oriented Requirements for Artificial Intelligence-Based Clinical Decision Support Systems in Sepsis: Protocol
Pascal Raszke1, Godwin Denk Giebel1, Carina Abels1
1Institute for Health Care Management and Research, University of Duisburg-Essen, Essen, Germany.
JMIR Research Protocols
|January 30, 2025
Summary
This study identifies barriers and solutions for AI clinical decision support systems (CDSS) adoption. It develops a user-centered sepsis CDSS requirement profile to improve healthcare integration.
Area of Science:
- Medical Informatics
- Artificial Intelligence in Healthcare
- Clinical Decision Support Systems
Background:
- Artificial intelligence (AI)-based clinical decision support systems (CDSS) show promise for improving patient care but face low adoption rates in standard clinical practice.
- Barriers to AI-CDSS implementation often stem from non-user-oriented development and integration challenges, leading to reduced user acceptance.
Purpose of the Study:
- To identify challenges and solutions impacting the development and implementation of AI-based CDSS.
- To enhance user acceptance of AI-CDSS by creating a user-oriented requirement profile, exemplified by sepsis management.
Main Methods:
- A multimethod approach combining a scoping review, focus groups with clinicians, and stakeholder interviews.
- Development of a survey with a discrete choice experiment (DCE) targeting physicians with sepsis expertise.
- Creation of a requirement profile for AI-based CDSS, followed by policy recommendations evaluated in an expert roundtable.
Main Results:
- The research outlines barriers and solutions for AI-CDSS development and implementation.
- A user-oriented requirement profile for sepsis-specific AI-CDSS has been developed.
- Scoping review concluded; qualitative modules analyzed; survey and DCE initiated.
Conclusions:
- This research presents a novel, comprehensive user-oriented requirement profile for sepsis AI-CDSS.
- Derived recommendations aim to reduce barriers in AI-CDSS development and implementation.
- Findings have the potential to facilitate long-term integration of AI-CDSS into routine healthcare.
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