The influence of explainable vs non-explainable clinical decision support systems on rapid triage decisions: a mixed methods study.

ABSTRACT:

Background

During the COVID-19 pandemic, a variety of clinical decision support systems (CDSS) were developed to aid patient triage. However, research focusing on the interaction between decision support systems and human experts is lacking.

Methods

Thirty-two physicians were recruited to rate the survival probability of 59 critically ill patients by means of chart review. Subsequently, one of two artificial intelligence systems advised the physician of a computed survival probability. However, only one of these systems explained the reasons behind its decision-making. In the third step, physicians reviewed the chart once again to determine the final survival probability rating. We hypothesized that an explaining system would exhibit a higher impact on the physicians' second

SUBMITTER: Laxar D 

PROVIDER: S-EPMC10510231 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature