Realizing the Value Potential of AI in Service Needs Assessment: Cases in Child Welfare and Mental Health Services

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dc.contributor.authorPesonen, Kaisa
dc.contributor.authorKorpela, Jukka
dc.contributor.authorVilko, Jyri
dc.contributor.authorElfvengren, Kalle
dc.date.accessioned2022-12-27T19:05:45Z
dc.date.available2022-12-27T19:05:45Z
dc.date.issued2023-01-03
dc.description.abstractIn social and health care the use of technology that utilizes data has great potential from the point of view of value creation. This case study examines the factors that impact the value potential realization of AI prediction models as part of the customer/patient service need assessment process. The research focuses on a pilot project of a Finnish case organization, in which prediction models were tested in child welfare and mental health services. Both positive and negative value-realizing factors were found in the research. The information produced by artificial intelligence has great value potential. Regulation and transparency of data need to be addressed, but at the same time, more flexible use of social and health register data needs to be considered to ensure that resources are allocated in a value-added way.
dc.format.extent10
dc.identifier.doi10.24251/HICSS.2023.350
dc.identifier.isbn978-0-9981331-6-4
dc.identifier.otherad035f2d-f955-4336-b23f-b861adcfba24
dc.identifier.urihttps://hdl.handle.net/10125/102981
dc.language.isoeng
dc.relation.ispartofProceedings of the 56th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectDecision Support for Healthcare Processes and Services
dc.subjectartificial intelligence
dc.subjectchild welfare
dc.subjectmental health
dc.subjectservice needs assessment
dc.subjectvalue potential
dc.titleRealizing the Value Potential of AI in Service Needs Assessment: Cases in Child Welfare and Mental Health Services
dc.type.dcmitext
prism.startingpage2840

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