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- Title
The Facilitators and Barriers of the Implementation of a Clinical Decision Support System for Breast Cancer Multidisciplinary Team Meetings—An Interview Study.
- Authors
Kočo, Lejla; Siebers, Carmen C. N.; Schlooz, Margrethe; Meeuwis, Carla; Oldenburg, Hester S. A.; Prokop, Mathias; Mann, Ritse M.
- Abstract
Simple Summary: This interview study delves into the potential of using AI-based clinical decision support systems (CDSSs) during meetings focused on multidisciplinary team meetings (MDTMs) for breast cancer. The goal was to pinpoint the obstacles and to aid in implementing such a system within these meetings. Through 24 interviews with breast cancer team members across three hospitals, key insights emerged. Those involved showed interest in integrating CDSSs into their workflow, foreseeing benefits like enhanced data visualization, time-saving functionalities, and improved documentation. However, concerns lingered around data connectivity, the accuracy of suggestions, and the risk of losing the human touch in decision making. Overall, this research reveals the curiosity among clinicians to explore CDSS benefits but acknowledges the complexity of integrating these systems, offering insights to potentially streamline future implementation processes. Background: AI-driven clinical decision support systems (CDSSs) hold promise for multidisciplinary team meetings (MDTMs). This study aimed to uncover the hurdles and aids in implementing CDSSs during breast cancer MDTMs. Methods: Twenty-four core team members from three hospitals engaged in semi-structured interviews, revealing a collective interest in experiencing CDSS workflows in clinical practice. All interviews were audio recorded, transcribed verbatim and analyzed anonymously. A standardized approach, 'the framework method', was used to create an analytical framework for data analysis, which was performed by two independent researchers. Results: Positive aspects included improved data visualization, time-saving features, automated trial matching, and enhanced documentation transparency. However, challenges emerged, primarily concerning data connectivity, guideline updates, the accuracy of AI-driven suggestions, and the risk of losing human involvement in decision making. Despite the complexities involved in CDSS development and integration, clinicians demonstrated enthusiasm to explore its potential benefits. Conclusions: Acknowledging the multifaceted nature of this challenge, insights into the barriers and facilitators identified in this study offer a potential roadmap for smoother future implementations. Understanding these factors could pave the way for more effective utilization of CDSSs in breast cancer MDTMs, enhancing patient care through informed decision making.
- Subjects
MEETINGS; HOSPITALS; CLINICAL decision support systems; RESEARCH evaluation; RESEARCH methodology; INFORMATION display systems; HONESTY; ARTIFICIAL intelligence; INTERVIEWING; WORKFLOW; DOCUMENTATION; DATABASE management; MEDICAL protocols; RISK assessment; HEALTH care teams; SOUND recordings; AUTOMATION; DECISION making; RESEARCH funding; MEDICAL practice; EMOTIONS; BREAST tumors
- Publication
Cancers, 2024, Vol 16, Issue 2, p401
- ISSN
2072-6694
- Publication type
Article
- DOI
10.3390/cancers16020401