Artificial Intelligence to manage municipal home care better

Artificial Intelligence to manage municipal home care better

Helsingborg City Council

Artificial Intelligence tool that enables more preventive, proactive and efficient management of municipal home care services.

The algorithm uses the data history of each citizen and an assessment of their functional status by social services professionals according to the ICF index (International Classification of Functioning, Disability and Health). From patterns it identifies people at high risk of having extensive future needs, determines the potential for improvement with appropriate interventions, identifies which individuals and efforts are most likely to provide lasting improvement, and triggers concrete preventive measures to stop or delay the need for home care services.

At the same time, it is a support tool for municipal social professionals, as it helps them to better measure the efforts invested for each situation, to direct key resources where they can be most useful, to reduce time spent on unnecessary administrative tasks, or to reduce stress caused by the risk of making incorrect or too late decisions regarding the intervention or response needed by each person.