Projects per year
Abstract
This poster presents the preliminary results of a collaborative R&D project which aims at developing artificial intelligence (AI) supported anticipation of multisectoral service use.
If we were able to predict the escalation of health and social problems of clients and the use of several different services, we could plan and offer them early preventive services with the objective of improving the quality of life and reducing the costs of service provision in the longer term.
If we were able to predict the escalation of health and social problems of clients and the use of several different services, we could plan and offer them early preventive services with the objective of improving the quality of life and reducing the costs of service provision in the longer term.
| Original language | English |
|---|---|
| Article number | 271 |
| Number of pages | 1 |
| Journal | International Journal of Integrated Care |
| Volume | 23 |
| Issue number | S1 |
| DOIs | |
| Publication status | Published - 22 May 2023 |
| MoE publication type | Not Eligible |
| Event | 23rd International Conference on Integrated Care, ICIC 2023 - Flanders Meeting & Convention Center Antwerp (FMCCA), Antwerp, Belgium Duration: 22 May 2023 → 24 May 2023 https://integratedcarefoundation.org/wp-content/uploads/2023/05/IFIC3669-ICIC23-Flanders-Interactive-Programme-v13.pdf |
Keywords
- anticipation
- prediction
- health and social services usage
- machine learning model
- AI software
- legislation
- elderly care
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- 1 Finished
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MAITE: Monialaisen palvelutarpeen ennakointi tekoälyn avulla
Lähteenmäki, J. (Manager), Sourkatti, H. (Participant) & Pajula, J. (Participant)
11/01/21 → 30/11/23
Project: Finnish government project