doi_dedup___::88a9861b26cdda1c3dd162d11f0bedbe 2023-03-13T00:12:27+0000 2023-03-13T04:39:52.807Z

oai:pure.eur.nl:publications/70bf9bd0-5ea6-45fd-bb62-8d79b48cd69f 50|narcis______::3df5b8b060b819af0d439dd6751c8a77 10.2196/33081 50|doiboost____::88a9861b26cdda1c3dd162d11f0bedbe 3212148341 od_______267::276eb3ebee07cf1f3e8bfc43926fd0c2 35099399 PMC8844982 oai:services.nod.dans.knaw.nl:Publications/eur:oai:pure.eur.nl:publications/70bf9bd0-5ea6-45fd-bb62-8d79b48cd69f 50|dris___00893::107e97e645cbb06fb7b454ce2569d6c2 10.2196/33081 35099399 PMC8844982 Ki-hun Kim Pei-hua Huang Maartje Schermer Public Health 2022-01-01 Background: The concept of digital twins has great potential for transforming the existing health care system by making it more personalized. As a convergence of health care, artificial intelligence, and information and communication technologies, personalized health care services that are developed under the concept of digital twins raise a myriad of ethical issues. Although some of the ethical issues are known to researchers working on digital health and personalized medicine, currently, there is no comprehensive review that maps the major ethical risks of digital twins for personalized health care services. Objective This study aims to fill the research gap by identifying the major ethical risks of digital twins for personalized health care services. We first propose a working definition for digital twins for personalized health care services to facilitate future discussions on the ethical issues related to these emerging digital health services. We then develop a process-oriented ethical map to identify the major ethical risks in each of the different data processing phases. MethodsWe resorted to the literature on eHealth, personalized medicine, precision medicine, and information engineering to identify potential issues and developed a process-oriented ethical map to structure the inquiry in a more systematic way. The ethical map allows us to see how each of the major ethical concerns emerges during the process of transforming raw data into valuable information. Developers of a digital twin for personalized health care service may use this map to identify ethical risks during the development stage in a more systematic way and can proactively address them. ResultsThis paper provides a working definition of digital twins for personalized health care services by identifying 3 features that distinguish the new application from other eHealth services. On the basis of the working definition, this paper further layouts 10 major operational problems and the corresponding ethical risks. ConclusionsIt is challenging to address all the major ethical risks that a digital twin for a personalized health care service might encounter proactively without a conceptual map at hand. The process-oriented ethical map we propose here can assist the developers of digital twins for personalized health care services in analyzing ethical risks in a more systematic manner. education Health Informatics Ethical issues Healthcare service Psychology Internet privacy business.industry business Preprint Artificial Intelligence Delivery of Health Care Health Services Humans Precision Medicine Telemedicine 03 medical and health sciences 0302 clinical medicine 030212 General & Internal Medicine 03021201 Health care/Health care quality - datum/health care 03021201 Health care/Health care quality - datum/electronic health 0301 basic medicine 030104 Developmental Biology 0303 health sciences 030304 Developmental Biology 030304 Developmental Biology - datum/datum management/ethical 06 humanities and the arts 0603 philosophy, ethics and religion 060301 Applied Ethics 06030101 Bioethics/Coordinates on Wikidata - intelligence/artificial intelligence/ethical 06030101 Bioethics/Coordinates on Wikidata - datum/ethical 2021-11-17 2022-01-31 2022-01-01 Crossref Journal of Medical Internet Research, 24(1):e33081. Journal of medical Internet Research urn:issn:1439-4456 VOLUME=24;ISSUE=1;ISSN=1439-4456;TITLE=Journal of Medical Internet Research application/pdf true false 0.8 dedup-result-decisiontree-v3 2022-01-01 PMC8844982 2021-08-23 35099399 2022-01-01 2022-01-31 10.2196/33081 JMIR Publications Inc. 2021-08-23 35099399 PMC8844982 10.2196/33081 https://pubmed.ncbi.nlm.nih.gov/35099399 2022-01-01 2022-01-31 10.2196/33081 10.2196/33081 urn:nbn:nl:ui:15-70bf9bd0-5ea6-45fd-bb62-8d79b48cd69f https://doi.org/10.2196/33081 2022-01-01 10.2196/33081 urn:nbn:nl:ui:15-70bf9bd0-5ea6-45fd-bb62-8d79b48cd69f https://pure.eur.nl/en/publications/70bf9bd0-5ea6-45fd-bb62-8d79b48cd69f