Wolters Kluwer Forecasts Deeper Healthcare AI Adoption in 2026 Driven by Workflow and Governance
Wolters Kluwer forecasts deeper healthcare AI adoption in 2026 driven
Wolters Kluwer forecasts deeper adoption of healthcare AI in 2026, driven by workflow improvements and clinical surveillance technology.
Summary
Wolters Kluwer Health released a report predicting deeper adoption of artificial intelligence (AI) in healthcare for 2026. The report emphasizes that successful AI implementation requires integration into existing workflows and strong governance structures.
Key Players
Details
Wolters Kluwer Health has published a 2026 predictions report outlining expectations for the advanced adoption of artificial intelligence (AI) in healthcare. According to the report, the sector is moving toward more strategic implementations of productivity tools and advancements in clinical decision-making technology. The key themes include the growing concern over 'shadow AI'—unauthorized employee use of AI tools—which experts suggest is a larger issue than many organizations realize. The report stresses that ecosystem-based approaches, involving partnerships and workflow integration, are necessary to avoid isolated AI deployments. Technically, the outlook highlights clinical surveillance technology increasingly relying on FHIR data exchange. Furthermore, interoperability and drug diversion monitoring are identified as prerequisites for 2026 AI budgets. Generative AI is expected to grow when embedded in daily workflows, provided it is rigorously validated, protected by safeguards, and supported by expert oversight. Anticipated use cases include automating documentation, synthesizing clinical notes, identifying care gaps, and streamlining communication at scale.
Technology Note
FHIR（Fast Healthcare Interoperability Resources）は医療データ交換の国際標準。このエントリの関連技術: FHIR
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