For a better user experience please update your browser or use Chrome or Firefox browser.
Utilities
Publication detail
HomeStudy on eHealth, interoperability of health data and artificial intelligence for health and care in the European Union
Final study report. Lot 2, Artificial Intelligence for health and care in the EU
Study on eHealth, interoperability of health data and artificial intelligence for health and care in the European Union
Final study report. Lot 2, Artificial Intelligence for health and care in the EU
Publication metadata
Despite a number of initiatives undertaken by the EU in the last few years towards advancing the development and uptake of AI technologies to help EU citizens better monitor their health, receive better diagnoses and more personalized treatments, as well as live a healthier and more independent life, current situation in the EU indicates that healthcare organisations are slow in implementing AI technologies in healthcare and that the level of adoption is low overall. To achieve its long-term objective of the effective implementation of AI in the healthcare sector the Commission plans to work on a common legislation and policy framework to yield the benefits that AI can bring. Based on evidence gathered in this study, while most EU MS that have developed AI strategies identify healthcare as a priority sector, there are no policies within those strategies targeting healthcare in particular. At the same time, EU MS have made progress in proposing regulatory frameworks around the management of health data which is a foundational element for the further development of AI technologies in the healthcare sector. In terms of adoption, while healthcare organisations in the EU are open to adopting AI applications, at present, adoption is still limited to specific departments, teams and application areas. The lack of trust in AI-driven decision support is hindering the wider adoption, while issues around integrating new technologies into current practice are also prominent challenges identified by relevant stakeholders in EU MS. The scientific output of EU MS in the area of AI in healthcare is largely attributed to the larger EU MS which are also the most active in collaborating between each other and with smaller MS. Additionally, a need is identified for further financial support to support the development of AI technologies which are translated into clinical practice, including support targeting the acquisition of Intellectual Property (IP) rights for the developed technologies. To promote the development and adoption of AI technologies in the healthcare sector, the Commission may address challenges related to policy supporting the further development and adoption of AI in healthcare, increase investment, enable the access, use and exchange of healthcare data, and develop initiatives to upskill healthcare professionals and to educate AI Developers on current clinical practices. Addressing culture issues around trust in the use of AI in the healthcare sector and creating or updating policy supporting the translation of research into clinical practice were also important insights extracted from this study.
- Published:
- Corporate author(s): Directorate-General for Communications Networks, Content and Technology (European Commission) , PwC
- Themes: Information technology and telecommunications , Public health
- Subject: artificial intelligence , digital single market , e-Health , EU Member State , EU strategy , European Union , health care , healthcare industry , intellectual property , medical data , medical diagnosis , medical research , systems interconnection
|
PDF
|
|||
| ISSN | ISBN 978-92-76-40310-4 | DOI 10.2759/506595 | Catalogue number KK-05-21-225-EN-N |
- Released on EU Publications:
Document viewer
Note:
The publication cannot be displayed in the document viewer. Open web version
You may access it from: Download and languages