The Facilitators and Barriers of the Implementation of a Clinical Decision Support System for Breast Cancer Multidisciplinary Team Meetings-An Interview Study.

ABSTRACT:

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 docum

SUBMITTER: Koco L 

PROVIDER: S-EPMC10813995 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature