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ALTAI Tool for Assessing AI-Based Technologies: Lessons Learned and Recommendations from SHAPES Pilots.

Jyri RajamäkiFotios GioulekasPedro Alfonso Lebre RochaXavier Del Toro GarciaPaulinus OfemJaakko Tyni
Published in: Healthcare (Basel, Switzerland) (2023)
Across European countries, the SHAPES Project is piloting AI-based technologies that could improve healthcare delivery for older people over 60 years old. This article aims to present a study developed inside the SHAPES Project to find a theoretical framework focused on AI-assisted technology in healthcare for older people living in the home, to assess the SHAPES AI-based technologies using the ALTAI tool, and to derive ethical recommendations regarding AI-based technologies for ageing and healthcare. The study has highlighted concerns and reservations about AI-based technologies, namely dealing with living at home, mobility, accessibility, data exchange procedures in cross-board cases, interoperability, and security. A list of recommendations is built not only for the healthcare sector, but also for other pilot studies.
Keyphrases
  • healthcare
  • artificial intelligence
  • big data
  • machine learning
  • quality improvement
  • deep learning
  • clinical practice
  • health information
  • study protocol