INTEVI - intelligent transfer management for data-driven recommendation of transfers of intensive care patients

Intensive care units (ICUs) play a key role in the health care system in providing care for critically ill people. Technical and economic factors limit the bed capacity in ICUs, which can lead to bottlenecks in the provision of beds. In order to nevertheless provide the best possible care for newly arriving critical patients, intensive care physicians are therefore confronted with the decision as to which patient can be transferred to a lower-level ward for treatment.

Addressing this challenge, a joint research project with the University Hospital of Dresden started at the beginning of March as part of the eHealthSax funding programme for digitalisation projects in the health sector. The aim is to develop an intelligent transfer management for data-driven recommendation of transfers of intensive care patients (INTEVI). Building on the results of the predecessor project prioICare, artificial intelligence methods are to help determine a classification of intensive care patients based on current and past clinical data with regard to their transferability.

Project duration

2023/03/01 - 2024/12/31

Participants

Prof. Dr. Udo Buscher                                                                                                                         Franz Ehm, M.Sc.                                                                                                                               Dipl.-Wi.-Ing. Aron Lange                                                                                                                  Dipl.-Wi.-Ing. Daniel Zähringer

Clinic for Anesthesiology and Intensive Therapy at University Hospital Dresden              Project leader: Prof. Dr. med. Peter Spieth, MSc

This measure is co-funded with tax funds on the basis of the budget passed by the Saxon State Parliament.