A3 Refereed book chapter or chapter in a compilation book
Transformative Health Technology Assessment of Dynamically Developing Digital and AI Innovations
Authors: Saarni, Samuli; Ruotsalainen, Riku
Editors: Rissanen, Marjo; Saastamoinen, Kalle; Ikonen, Tuija S.
Edition: 1st Edition
Publisher: CRC Press
Publication year: 2026
Book title : Translational Health Informatics : Bridging Theory and Practice for Better Healthcare Delivery
First page : 110
Last page: 130
ISBN: 978-1-032-83174-9
eISBN: 978-1-003-51897-6
DOI: https://doi.org/10.1201/9781003518976-6
Publication's open availability at the time of reporting: No Open Access
Publication channel's open availability : No Open Access publication channel
Web address : https://doi.org/10.1201/9781003518976-6
This chapter critiques the suitability of traditional health technology assessment (HTA) frameworks for evaluating dynamic digital and AI health technologies (DAIHTs). Unlike conventional, static technologies, DAIHTs function as levers of systemic change, with context-dependent impacts that evolve within organizational settings. The authors propose a transformative HTA model that emphasizes minimal pre-market safety checks and the collection of organization-specific, real-world data for continuous evaluation and improvement. Drawing on organizational and management theory, the chapter highlights the importance of strategic alignment, leadership, and innovation ecosystems in realizing the value of DAIHTs. Ethical, legal, and social implications (ELSI) are identified as critical but often neglected in current models. The chapter calls for a shift in HTA from regulating market access to supporting healthcare organizations in iterative learning and co-development, ensuring that DAIHTs are implemented safely, effectively, and with contextual relevance.
