| 000 | 03135nam a2200361 4500 | ||
|---|---|---|---|
| 001 | 00006819 | ||
| 003 | ES-MaONT | ||
| 005 | 20231116104401.0 | ||
| 008 | 211122t2021 d|||f t||| 00| 0 eng d | ||
| 020 | _a 978-92-76-40310-4 | ||
| 024 |
_2doi _a10.2759/506595 |
||
| 040 | _aES-MaONT | ||
| 245 | 1 | 0 |
_aStudy on eHealth, Interoperability of Health Data and Artificial Intelligence for Health and Care in the European Union _b: Lot 2: Artificial Intelligence for health and care in the EU : final study report _c/ written by PwC ; European Commission, Directorate-General for Communications Networks, Content and Technology |
| 250 | _a1st ed | ||
| 260 |
_aLuxembourg: _bPublications Office of the European Union, _c2021 |
||
| 300 |
_a66 p. _b: tab. _c; 1 documento PDF |
||
| 336 |
_2isbdcontent _atexto (visual) |
||
| 337 |
_2isbdmedia _aelectrónico |
||
| 338 |
_2rdacarrier _arecurso en línea |
||
| 520 | _aThis study presents an overview of the development, adoption and use of Artificial Intelligence (AI) technologies and applications in the healthcare sector across all Member States. The main aim of this study was to support the European Commission in identifying and addressing any issues that might be hindering the wider adoption of AI technologies in the healthcare sector. The study will help the Commission to take action to achieve its long-term goal on the effective implementation of AI in the healthcare sector, based around common legislation and policy framework. According to the study, while most EU Member States have developed AI strategies that identify healthcare as a priority sector, there are no policies within those strategies targeting healthcare in particular. However, EU Member States 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, adoption is still currently 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 the integration of new technologies into current practices are also among the main challenges identified by relevant stakeholders in EU Member States. | ||
| 540 |
_aThis document has been prepared for the European Commission however it reflects the views only of the authors, and the
European Commission is not liable for any consequence stemming from the reuse of this publication _b; Unión Europea |
||
| 650 | 0 |
_94348 _aInteligencia Artificial |
|
| 650 | 7 |
_92065 _aSanidad digital |
|
| 651 | 0 |
_92198 _aEuropa |
|
| 653 | _aIA | ||
| 653 | _auso | ||
| 653 | _asalud | ||
| 653 | _aatención médica | ||
| 710 | 2 |
_aComisión Europea. _bDirección General de Redes de Comunicación, Contenido y Tecnologías _91122 |
|
| 710 | 2 |
_aPricewaterhouseCoopers _92421 |
|
| 856 | 4 | 2 |
_uhttps://digital-strategy.ec.europa.eu/en/library/artificial-intelligence-healthcare-report _x0 _yAcceso al documento |
| 942 |
_2z _cINF |
||
| 999 |
_c6819 _d6819 |
||