BibTex format
@article{Bracey:2026:10.1186/s12911-026-03474-5,
author = {Bracey, S and Ainsworth, B and Alderman, J and Banjeri, CRS and Chakraborti, T and Cresswell, K and Davies, A and Hellon, V and Harbron, C and Nash, J and Kostopoulou, O and Karoune, E and Wyatt, JC and MacArthur, BD and Fuggle, N},
doi = {10.1186/s12911-026-03474-5},
journal = {BMC Medical Informatics and Decision Making},
title = {The 'Hippocratic Oath' for AI-based clinical decision support systems},
url = {http://dx.doi.org/10.1186/s12911-026-03474-5},
volume = {26},
year = {2026}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - BackgroundThe implementation of Artificial Intelligence assisted Clinical Decision Support Systems (AI-CDSS) shows significant potential to improve healthcare. However, implementing AI-CDSS has many associated challenges. This article introduces the ‘Hippocratic Oath’ for AI which promotes safe and effective AI-CDSS development and implementation.MethodsThis paper summarises discussions which took place during the Turing-Roche Clinical AI Interest Group Joint Workshop. The workshop began with scoping lectures from AI experts, leading into focus group discussions of key themes surrounding AI-CDSS implementation. These include the ethics, trust, evaluation, regulation, human factors and challenges involved with implementing AI-CDSS into healthcare settings. Focus group outcomes, alongside insight from lectures, were used to formulate the arguments in this paper.ResultsThis article presents a consensus definition of AI-CDSS and outlines a comprehensive table of implementation challenges alongside mitigation measures. It introduces the ‘Hippocratic Oath for AI’ and discusses its potential to promote safe and effective AI-CDSS implementation through addressing human factors and explainability.ConclusionsThe ‘Hippocratic Oath for AI’, can be used by AI-CDSS implementers and developers as a framework to mitigate challenges involved with implementing AI-CDSS into healthcare settings. This framework is likely to promote safe and effective implementation and maximise HCP uptake of the AI-CDSS. Through facilitating AI-CDSS use, this oath can transform health care practice via reducing medical errors, healthcare costs and improving patient outcomes.
AU - Bracey,S
AU - Ainsworth,B
AU - Alderman,J
AU - Banjeri,CRS
AU - Chakraborti,T
AU - Cresswell,K
AU - Davies,A
AU - Hellon,V
AU - Harbron,C
AU - Nash,J
AU - Kostopoulou,O
AU - Karoune,E
AU - Wyatt,JC
AU - MacArthur,BD
AU - Fuggle,N
DO - 10.1186/s12911-026-03474-5
PY - 2026///
SN - 1472-6947
TI - The 'Hippocratic Oath' for AI-based clinical decision support systems
T2 - BMC Medical Informatics and Decision Making
UR - http://dx.doi.org/10.1186/s12911-026-03474-5
UR - https://www.ncbi.nlm.nih.gov/pubmed/42063107
UR - https://link.springer.com/article/10.1186/s12911-026-03474-5
VL - 26
ER -