CAI-X

AI project

PATINA Algorithm

Full title: Prevention of AcuTe admIssioN Algorithm (PATINA)

It is well-known that diseases, functional loss, and use of health care services increase with age. The ongoing population ageing will challenge health care systems in the years to come. Not only are the number of in-patient hospital beds being reduced, but the number of people in the workforce will be fewer in the future. Preventive measures are therefore needed more than ever to keep resources in balance with demands.

Elderly people represent a very heterogenous age group in terms of functions and health care needs. But those who receive municipal home care belong to a particularly vulnerable group and are at the highest risk of acute illness and hospitalisation. A previous research project showed that acute hospitalisation among 70+ year olds occurs after a significant increase in time provided for municipal home care. Based on this finding, a sentinel algorithm has been developed to monitor the use of municipal home care at individual level. 

Aim

The aim is to test and validate the effect of a sentinel algorithm applied on health care data for early recognition of elderly community-dwelling adults at risk of acute hospital admission. A stepped-wedge randomized controlled study has been launched in Odense, Kerteminde and Svendborg municipalities as part of an industrial PhD project. First results are expected by the end of 2021.

Participants

Department of Cross-sectoral Collaboration, Region of Southern Denmark

The Maersk Mc-Kinney Moller Institute, SDU

The Dept. of Clinical Research, Geriatric Research Unit, University of Southern Denmark

The Dept. of Geriatric Medicine, Odense University Hospital

The Dept. of Public Health, University of Southern Denmark

Centre for Innovative Medical Technology

Project period

Start: January 2020

End: December 2022

Contact

Karen Andersen-Ranberg

Professor, Chief Physician

Department of Geriatric Medicine

(+45) 65 50 30 38
[email protected]

Uffe Kock Wiil

Professor, Head of Unit

The Maersk Mc-Kinney Moller Institute, SDU

(+45) 66 15 76 97
[email protected]

Turkis firkant (dekoration)

Anders Fournaise

Industrial PhD student

Department of Cross-sectoral Collaboration

(+45) 24 82 43 15
[email protected]