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WorldCist'23 - 11st World Conference on Information Systems and Technologies

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Ai Solutions For Inter-Organisational Care: A Case Based Analysis

Health care is a complex domain containing large amounts of data, including clinical and administrative data. Furthermore, the domain includes advanced decision-making utilising the collected data. Various IT systems based on AI technologies, such as machine learning, have been promoted as a way to improve both the quality and efficiency of health care. So far, the focus has been on supporting quite narrow and data-intensive activities carried out by a single actor, such as interpreting X-ray images and performing triage. However, providing health care for a single patient can involve a comprehensive process with numerous actors, ranging from home care and primary care to specialist care. In this paper, we examine how existing AI solutions can support a complex care process involving several collaborating actors. We base the examination on a health care case from Swedish elderly care. The case is used to identify multiple problem areas, which are then compared to existing AI solutions.

J├Âran Lindeberg
Department of Computer and Systems Sciences, Stockholm University
Sweden

Martin Henkel
Department of Computer and Systems Sciences, Stockholm University
Sweden

Erik Perjons
Department of Computer and Systems Sciences, Stockholm University
Sweden

Paul Johannesson
Department of Computer and Systems Sciences, Stockholm University
Sweden

Katarina Fast Lappalainen
Department of Law, Stockholm University
Sweden

 


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