Artificial Intelligence and automated decision-making in healthcare
Nordberg, Ana LU
(2019)
Seventh European Conference on Health Law
p.92-92
- Abstract
- 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... (More) - 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/d0e8e25b-b56b-43e5-b74f-af69adb234bd
- author
- Nordberg, Ana
LU
- organization
- publishing date
- 2019-09-25
- type
- Contribution to conference
- publication status
- published
- subject
- keywords
- eHealth, Automated decision-making, Algorithimic discrimination, Patient Rights, Privacy, Trade secrets, Intellectual property rights, Health law, Hälsorätt
- pages
- 93 pages
- conference name
- Seventh European Conference on Health Law
- conference location
- Toulose, France
- conference dates
- 2019-09-25 - 2019-09-27
- language
- English
- LU publication?
- yes
- additional info
- Book of Abstracts: Seventh European Conference on Health Law (European association of Health Law, 2019)
- id
- d0e8e25b-b56b-43e5-b74f-af69adb234bd
- date added to LUP
- 2019-12-10 10:26:22
- date last changed
- 2022-05-16 11:52:58
@misc{d0e8e25b-b56b-43e5-b74f-af69adb234bd,
abstract = {{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. <br/>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. <br/>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.<br/>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. <br/>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.}},
author = {{Nordberg, Ana}},
keywords = {{eHealth; Automated decision-making; Algorithimic discrimination; Patient Rights; Privacy; Trade secrets; Intellectual property rights; Health law; Hälsorätt}},
language = {{eng}},
month = {{09}},
pages = {{92--92}},
title = {{Artificial Intelligence and automated decision-making in healthcare}},
year = {{2019}},
}