id:"swepub:oai:lup.lub.lu.se:d0e8e25b-b56b-43e5-b74f-af69adb234bd"
Search: id:"swepub:oai:lup.lub.lu.se:d0e8e25b-b56b-43e5-b74f-af69adb234bd" > Artificial Intellig...
- 1 of 1
- Previous record
- Next record
- To hitlist
- Nordberg, AnaLund University,Lunds universitet,Juridiska institutionen,Juridiska fakulteten,Health Law,Forskargrupper vid Lunds universitet,Mänskliga rättigheter,Department of Law,Faculty of Law,Lund University Research Groups,Human Rights Law (author)
Artificial Intelligence and automated decision-making in healthcare
- Article/chapterEnglish2019
Publisher, publication year, extent ...
- 2019
- 93 s.
Numbers
- LIBRIS-ID:oai:lup.lub.lu.se:d0e8e25b-b56b-43e5-b74f-af69adb234bd
- https://lup.lub.lu.se/record/d0e8e25b-b56b-43e5-b74f-af69adb234bdURI
Supplementary language notes
- Language:English
- Summary in:English
Part of subdatabase
- SwePubSwePub
Classification
Notes
- AI is expected to be a driver for improved standards of health, reduced costs, decentralized care and facilitated access to healthcare. Its successful implementation depends on technology factors and industrial investments in AI innovation, but also conditional to trust and acceptance by patients, medical staff and healthcare authorities. AI will inevitably change the nature of health care innovation impacting all areas of healthcare and allowing the development of precision or personalized medicine (PM). Data quality is crucial for AI predictive tools in PM, and reliable and comprehensive data require patient trust and willingness to cooperate. All of which depends in large measure on the existence of clear legal frameworks for AI capable of reflecting fundamental legal norms and prevailing social values. Development and application of AI, as well as their application triggers privacy and data protection challenges in the context of research and clinical application, including issues of algorithmic discrimination and the right not to be subject to automated decision making.Simultaneously, technological limitations (the black box issue) and legal entitlements (intellectual property rights and trade secrets) exacerbate practical limitations and difficulties to the exercise of patient rights. This presentation concerns the rights of individual’s concerning algorithmic decision-making in the context of healthcare in the EU. It will examine both general data protection issues, intellectual property and patient rights.
Subject headings and genre
- SAMHÄLLSVETENSKAP Juridik hsv//swe
- SOCIAL SCIENCES Law hsv//eng
- eHealth
- Automated decision-making
- Algorithimic discrimination
- Patient Rights
- Privacy
- Trade secrets
- Intellectual property rights
- Health law
- Hälsorätt
Added entries (persons, corporate bodies, meetings, titles ...)
- Juridiska institutionenJuridiska fakulteten (creator_code:org_t)
Related titles
- In:, s. 92-92
Internet link
To the university's database
- 1 of 1
- Previous record
- Next record
- To hitlist
Find more in SwePub
- By the author/editor
- Nordberg, Ana
- About the subject
-
- SOCIAL SCIENCES
- SOCIAL SCIENCES
- and Law
- By the university
- Lund University
Search outside SwePub
- Extend your search to:
- Google Book Search
- Google Scholar
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.
- Copyright © LIBRIS - National Library Systems
- LIBRIS.kb.se
