提出三类医疗科技企业AI采纳模型，揭示落地障碍与对策
Threefold model for AI Readiness: A Case Study with Finnish Healthcare SMEs
- 划分探索、融入、提供三类AI参与模式
- 发现监管、技术、资金是主要采纳障碍
- 适合医疗政策制定者与中小企业参考
本研究通过半结构化访谈，分析六家芬兰医疗科技中小企业在人工智能领域的应用现状。识别出三类参与形态：对AI感兴趣的探索者、正在整合的融入者、以及提供AI解决方案的服务者。提出的三重模型揭示了关键障碍，包括法规复杂性、技术人才短缺和财务限制。尽管多数企业认可AI潜力，但普遍仍处于早期采纳阶段。研究提出可操作建议，强调推动法规改革、培养专业人才、促进企业间协作，为医疗机构、政策制定者及研究人员提供重要参考。
原文摘要 · Abstract (English)
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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