@inproceedings{alnajjar-etal-2025-threefold,
title = "Threefold model for {AI} Readiness: A Case Study with {F}innish Healthcare {SME}s",
author = {Alnajjar, Mohammed and
Alnajjar, Khalid and
H{\"a}m{\"a}l{\"a}inen, Mika},
editor = {H{\"a}m{\"a}l{\"a}inen, Mika and
{\"O}hman, Emily and
Bizzoni, Yuri and
Miyagawa, So and
Alnajjar, Khalid},
booktitle = "Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities",
month = may,
year = "2025",
address = "Albuquerque, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.nlp4dh-1.41/",
doi = "10.18653/v1/2025.nlp4dh-1.41",
pages = "478--489",
ISBN = "979-8-89176-234-3",
abstract = "This study examines AI adoption among Finnish healthcare SMEs through semi-structured interviews with six health-tech companies. We identify three AI engagement categories: AI-curious (exploring AI), AI-embracing (integrating AI), and AI-catering (providing AI solutions). Our proposed threefold model highlights key adoption barriers, including regulatory complexities, technical expertise gaps, and financial constraints. While SMEs recognize AI{'}s potential, most remain in early adoption stages. We provide actionable recommendations to accelerate AI integration, focusing on regulatory reforms, talent development, and inter-company collaboration, offering valuable insights for healthcare organizations, policymakers, and researchers."
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%0 Conference Proceedings
%T Threefold model for AI Readiness: A Case Study with Finnish Healthcare SMEs
%A Alnajjar, Mohammed
%A Alnajjar, Khalid
%A Hämäläinen, Mika
%Y Hämäläinen, Mika
%Y Öhman, Emily
%Y Bizzoni, Yuri
%Y Miyagawa, So
%Y Alnajjar, Khalid
%S Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities
%D 2025
%8 May
%I Association for Computational Linguistics
%C Albuquerque, USA
%@ 979-8-89176-234-3
%F alnajjar-etal-2025-threefold
%X This study examines AI adoption among Finnish healthcare SMEs through semi-structured interviews with six health-tech companies. We identify three AI engagement categories: AI-curious (exploring AI), AI-embracing (integrating AI), and AI-catering (providing AI solutions). Our proposed threefold model highlights key adoption barriers, including regulatory complexities, technical expertise gaps, and financial constraints. While SMEs recognize AI’s potential, most remain in early adoption stages. We provide actionable recommendations to accelerate AI integration, focusing on regulatory reforms, talent development, and inter-company collaboration, offering valuable insights for healthcare organizations, policymakers, and researchers.
%R 10.18653/v1/2025.nlp4dh-1.41
%U https://aclanthology.org/2025.nlp4dh-1.41/
%U https://doi.org/10.18653/v1/2025.nlp4dh-1.41
%P 478-489
Markdown (Informal)
[Threefold model for AI Readiness: A Case Study with Finnish Healthcare SMEs](https://aclanthology.org/2025.nlp4dh-1.41/) (Alnajjar et al., NLP4DH 2025)
ACL