When performance is not enough-A multidisciplinary view on clinical decision support.

ABSTRACT: Scientific publications about the application of machine learning models in healthcare often focus on improving performance metrics. However, beyond often short-lived improvements, many additional aspects need to be taken into consideration to make sustainable progress. What does it take to implement a clinical decision support system, what makes it usable for the domain experts, and what brings it eventually into practical usage? So far, there has been little research to answer these questions. This work presents a multidisciplinary view of machine learning in medical decision support systems and covers information technology, medical, as well as ethical aspects. The target audience is computer scientists, who plan to do research in a clinical context. The paper starts from a relatively s

SUBMITTER: Roller R 

PROVIDER: S-EPMC10124862 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature