Improving AI-Based Clinical Decision Support Systems and Their Integration Into Care From the Perspective of Experts: Interview Study Among Different Stakeholders.

ABSTRACT:

Background

Artificial intelligence (AI)-based systems are receiving increasing attention in the health care sector. While the use of AI is well advanced in some medical applications, such as image recognition, it is still in its infancy in others, such as clinical decision support systems (CDSS). Examples of AI-based CDSS can be found in the context of sepsis prediction or antibiotic prescription. Scientific literature indicates that such systems can support physicians in their daily work and lead to improved patient outcomes. Nevertheless, there are various problems and barriers in this context that should be considered.

Objective

This study aimed to identify opportunities to optimize AI-based CDSS and their integration into care from the perspective of experts.

Methods<

SUBMITTER: Giebel GD 

PROVIDER: S-EPMC12280832 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature