Machine learning for hospital care at home

Purpose and goal

The project´s objective has been to investigate the possibility of applying machine learning in healthcare and especially in home hospital care. The focus has been on patient data that is not images and image processing. Several discussions with different staff categories and patient groups representatives have taken place where the use and the requirements of AI have been presented and discussed, leading to increased understanding among everyone involved.

Expected results and effects

The purpose of AI is to be able to lower healthcare costs, shorten care periods, maximize patients´ quality of life during disease, better manage co-morbidity and chronically ill, and faster discover deteriorating conditions to allow timely treatment before serious medical complications occur. Especially the latter is a result that we will continue to work on and then in particular with anesthesiologists in the Perioperative Medicine and Intensive Care Clinic.

Planned approach and implementation

The project consisted of exchange of staff (Martin Jacobsson) from the Royal Institute of Technology (KTH), Department of Medical Technology and Health Systems to Karolinska University Hospital IT. Martin has been part of a project around home hospital care and also investigated the possibilities of supplementing the hospital´s patient measurement data collection tool with AI tools. He has been on site at K´s premises in Solna and participated in several meetings and conferences.