Using Clinical Simulation to Evaluate AI-Enabled Decision Support

被引：0
|
作者：
Lyell, David [1 ]
Lustig, Adriaan [2 ]
Denyer, Kate [2 ]
Vedantam, Satya [1 ]
Magrabi, Farah [1 ]
机构：
[1] Macquarie Univ, Australian Inst Hlth Innovat, N Ryde, NSW, Australia
[2] Macquarie Univ, Fac Med Hlth & Human Sci, N Ryde, NSW, Australia
来源：
MEDINFO 2023 - THE FUTURE IS ACCESSIBLE | 2024年 / 310卷
关键词：
Clinical decision support; evaluation; clinical decision making;
D O I：
10.3233/SHTI230975
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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 feasibility of its application.
引用
收藏
页码：299 / 303
页数：5
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