Factors Influencing Clinician Trust in Predictive Clinical Decision Support Systems for In-Hospital Deterioration: Qualitative Descriptive Study.

ABSTRACT:

Background

Clinician trust in machine learning-based clinical decision support systems (CDSSs) for predicting in-hospital deterioration (a type of predictive CDSS) is essential for adoption. Evidence shows that clinician trust in predictive CDSSs is influenced by perceived understandability and perceived accuracy.

Objective

The aim of this study was to explore the phenomenon of clinician trust in predictive CDSSs for in-hospital deterioration by confirming and characterizing factors known to influence trust (understandability and accuracy), uncovering and describing other influencing factors, and comparing nurses' and prescribing providers' trust in predictive CDSSs.

Methods

We followed a qualitative descriptive methodology conducting directed deductive and inductive

SUBMITTER: Schwartz JM 

PROVIDER: S-EPMC9136656 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature