priorICare: Data-driven prioritization of Intensive Care patients for transfer
Project description
Intensive care unit (ICU) capacity is crucial for the treatment of the most severely sick patients. Due to the common lack of ICU bed availability, the ICU physician in charge must triage which patient can be sent to the regular ward when new critical patients arrive. The choice of an ideal candidate for transfer is subject to a variety of medical and operational factors compounded by uncertainty regarding the recovery process of each individual. It may also come at times of high workload or fatigue.
This project aims to develop a software-based decision support system that helps clinicians identify patients who are most suitable for transfer to a lower ward. Our approach is to analyze historical ICU data to estimate the effects of a potential transfer on patient outcome in the presence of specific combinations of vital signs and operational factors. The software tool evaluates the current state of ICU patients along with their therapeutic characteristics and proposes a set of eligible transfer candidates. Alternatively, it provides the physician with an aggregate easy-to-interpret eligibility score for each patient.
Decision process in ICU patient transfer at UKD and priorICare project scope (highlighted in color)
The Interdisciplinary Innovation Project (IIP) is funded by the Else Kröner-Fresenius Center for Digital Health.
Project homepage
https://digitalhealth.tu-dresden.de/research/innovation-projects_economic/prioricare/
Project duration
01.10.2020 - 30.09.2021
Responsable staff
Franz Ehm, M. Sc.