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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)
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author
organization
publishing date
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
2019-12-11 07:23:29
@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},
  language     = {eng},
  month        = {09},
  pages        = {92--92},
  title        = {Artificial Intelligence and automated decision-making in healthcare},
  year         = {2019},
}