@inproceedings{256afe728d0d44e1a1732450f23025d5,
title = "Using clinical simulation to evaluate AI-enabled decision support",
abstract = "Clinical simulation is a useful method for evaluating AI-enabled clinical decision support (CDS). Simulation studies permit patient- and risk-free evaluation and far greater experimental control than is possible with clinical studies. The effect of CDS assisted and unassisted patient scenarios on meaningful downstream decisions and actions within the information value chain can be evaluated as outcome measures. This paper discusses the use of clinical simulation in CDS evaluation and presents a case study to demonstrate the feasibility of its application. ",
keywords = "Clinical decision support, evaluation, clinical decision making",
author = "David Lyell and Adriaan Lustig and Kate Denyer and Satya Vedantam and Farah Magrabi",
note = "Copyright the International Medical Informatics Association (IMIA) and IOS Press 2024. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.; MEDINFO 2023 ; Conference date: 08-07-2023 Through 12-07-2023",
year = "2024",
month = jan,
day = "25",
doi = "10.3233/SHTI230975",
language = "English",
isbn = "9781643684567",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "299--303",
editor = "Bichel-Findlay, { Jen} and Paula Otero and Philip Scott and Huesing, {Elaine }",
booktitle = "MEDINFO 2023 - The future is accessible",
address = "United States",
}