Artificial intelligence in wellbeing services counties: management and experts’ perspectives on opportunities, challenges and AI readiness
Artificial intelligence (AI) can be used to enhance healthcare efficiency and quality. New generative AI (GenAI) and large language models (LLM) offer novel opportunities for AI applications. This study examines management and expert perceptions of AI implementation opportunities and challenges in...
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| Format: | Article |
| Language: | English |
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Finnish Social and Health Informatics Association
2025-04-01
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| Series: | Finnish Journal of eHealth and eWelfare |
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| Online Access: | https://journal.fi/finjehew/article/view/155471 |
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| author | Marketta Niemelä Tommi Kemppainen Jenny Vuollet |
| author_facet | Marketta Niemelä Tommi Kemppainen Jenny Vuollet |
| author_sort | Marketta Niemelä |
| collection | DOAJ |
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Artificial intelligence (AI) can be used to enhance healthcare efficiency and quality. New generative AI (GenAI) and large language models (LLM) offer novel opportunities for AI applications. This study examines management and expert perceptions of AI implementation opportunities and challenges in wellbeing services counties (WSCs), which are the responsible providers of healthcare and social welfare services in their region in Finland.
A qualitative interview study was conducted in two phases from Nov 2023 to Feb 2024. First, 28 participants were interviewed semi-structurally. Thematic analysis was used to identify potential AI use cases, main use contexts, and related benefits and challenges. Second, 16 participants (14 new persons and two already interviewed) validated the results in four group interviews and prioritised the use contexts by their potential for WSCs. The framework of Roppelt and colleagues was used to analyse the AI readiness of WSCs.
Six AI use contexts were identified and prioritised: 1. Clinical healthcare, 2. Patient interaction and self-care, 3. Support services, 4. Management, 5. Preventive healthcare, 6. Social welfare services. AI readiness should be increased by the government by supporting organisational collaboration, experience sharing and regulatory interpretation. Healthcare organisations need to improve AI competence and skills at all levels. Regulation and WSC culture not supporting experimentation were identified as main challenges for broader AI implementation.
AI particularly GenAI, is seen as a promising technology to address workload, financial, and service demand challenges in WSCs. Challenges can be mitigated through focused collaboration and actions within and between stakeholder organisations. AI implementation research in healthcare should consider the rapid development of AI, including increasingly human-like behaviour and integration into physical robots.
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| format | Article |
| id | doaj-art-1d8eddb81e8f4928b20135020ca0cd1e |
| institution | DOAJ |
| issn | 1798-0798 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Finnish Social and Health Informatics Association |
| record_format | Article |
| series | Finnish Journal of eHealth and eWelfare |
| spelling | doaj-art-1d8eddb81e8f4928b20135020ca0cd1e2025-08-20T03:08:36ZengFinnish Social and Health Informatics AssociationFinnish Journal of eHealth and eWelfare1798-07982025-04-0117110.23996/fjhw.155471Artificial intelligence in wellbeing services counties: management and experts’ perspectives on opportunities, challenges and AI readinessMarketta Niemelä0Tommi Kemppainen1Jenny Vuollet2Nordic Healthcare Group Oy, Espoo; Faculty of Medicine and Health Technology, Tampere University, TampereNordic Healthcare Group Oy, EspooDigiFinland Oy, Helsinki Artificial intelligence (AI) can be used to enhance healthcare efficiency and quality. New generative AI (GenAI) and large language models (LLM) offer novel opportunities for AI applications. This study examines management and expert perceptions of AI implementation opportunities and challenges in wellbeing services counties (WSCs), which are the responsible providers of healthcare and social welfare services in their region in Finland. A qualitative interview study was conducted in two phases from Nov 2023 to Feb 2024. First, 28 participants were interviewed semi-structurally. Thematic analysis was used to identify potential AI use cases, main use contexts, and related benefits and challenges. Second, 16 participants (14 new persons and two already interviewed) validated the results in four group interviews and prioritised the use contexts by their potential for WSCs. The framework of Roppelt and colleagues was used to analyse the AI readiness of WSCs. Six AI use contexts were identified and prioritised: 1. Clinical healthcare, 2. Patient interaction and self-care, 3. Support services, 4. Management, 5. Preventive healthcare, 6. Social welfare services. AI readiness should be increased by the government by supporting organisational collaboration, experience sharing and regulatory interpretation. Healthcare organisations need to improve AI competence and skills at all levels. Regulation and WSC culture not supporting experimentation were identified as main challenges for broader AI implementation. AI particularly GenAI, is seen as a promising technology to address workload, financial, and service demand challenges in WSCs. Challenges can be mitigated through focused collaboration and actions within and between stakeholder organisations. AI implementation research in healthcare should consider the rapid development of AI, including increasingly human-like behaviour and integration into physical robots. https://journal.fi/finjehew/article/view/155471artificial intelligence wellbeing services countiesdigitalisationhealthcareimplementationinterview study |
| spellingShingle | Marketta Niemelä Tommi Kemppainen Jenny Vuollet Artificial intelligence in wellbeing services counties: management and experts’ perspectives on opportunities, challenges and AI readiness Finnish Journal of eHealth and eWelfare artificial intelligence wellbeing services counties digitalisation healthcare implementation interview study |
| title | Artificial intelligence in wellbeing services counties: management and experts’ perspectives on opportunities, challenges and AI readiness |
| title_full | Artificial intelligence in wellbeing services counties: management and experts’ perspectives on opportunities, challenges and AI readiness |
| title_fullStr | Artificial intelligence in wellbeing services counties: management and experts’ perspectives on opportunities, challenges and AI readiness |
| title_full_unstemmed | Artificial intelligence in wellbeing services counties: management and experts’ perspectives on opportunities, challenges and AI readiness |
| title_short | Artificial intelligence in wellbeing services counties: management and experts’ perspectives on opportunities, challenges and AI readiness |
| title_sort | artificial intelligence in wellbeing services counties management and experts perspectives on opportunities challenges and ai readiness |
| topic | artificial intelligence wellbeing services counties digitalisation healthcare implementation interview study |
| url | https://journal.fi/finjehew/article/view/155471 |
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