Faculty, Staff and Student Publications
Language
English
Publication Date
8-22-2024
Journal
Studies in Health Technology and Informatics
DOI
10.3233/SHTI240638
PMID
39176608
PMCID
PMC12145886
PubMedCentral® Posted Date
6-8-2025
PubMedCentral® Full Text Version
Author MSS
Abstract
Ensuring patient safety in healthcare involves training professionals and implementing clinical decision support systems (CDSS) and health IT solutions to reduce errors and adverse events. The integration of artificial intelligence (AI) into health IT has revolutionized clinical settings by enabling real-time insights and personalized recommendations. However, the use of health IT can lead to unintended consequences that are not adequately addressed during training and implementation. These consequences can hinder the maximization of benefits and limit equitable access to healthcare. In this paper, we explore the impact of AI on CDSS and health IT, discuss the challenges in educating clinical informaticians, and aim to promote patient safety through collaboration with practitioners, researchers, and educators.
Keywords
Artificial Intelligence, Patient Safety, Decision Support Systems, Clinical, Humans, Patient safety, clinical decision support systems, Health IT, artificial intelligence, training, education
Published Open-Access
yes
Recommended Citation
Gong, Yang; Min, Hua; Jing, Xia; et al., "Challenges and Opportunities of Artificial Intelligence in CDSS and Patient Safety" (2024). Faculty, Staff and Student Publications. 718.
https://digitalcommons.library.tmc.edu/uthshis_docs/718