Ordering a minimal subset of lab tests for patients in the intensive care unit (ICU) can be challenging.
A novel method called ExOSITO has been developed, which combines off-policy learning with privileged information to identify the optimal set of ICU lab tests to order.
ExOSITO creates an interpretable assistive tool for clinicians to order lab tests by considering both the observed and predicted future status of each patient.
The learned policy function provides interpretable clinical information and reduces costs without omitting any vital lab orders, outperforming both a physician's policy and prior approaches to this practical problem.