238 lines
28 KiB
XML
238 lines
28 KiB
XML
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<title classid="alternative title" classname="alternative title" schemeid="dnet:dataCite_title" schemename="dnet:dataCite_title">Mapping the Ethical Issues of Digital Twins for Personalised Healthcare Service (Preprint)</title>
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<title classid="subtitle" classname="subtitle" schemeid="dnet:dataCite_title" schemename="dnet:dataCite_title" inferred="false" provenanceaction="sysimport:crosswalk:datasetarchive" trust="0.9">Preliminary Mapping Study</title>
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<title classid="main title" classname="main title" schemeid="dnet:dataCite_title" schemename="dnet:dataCite_title" inferred="false" provenanceaction="sysimport:crosswalk:repository" trust="0.9">Ethical Issues of Digital Twins for Personalized Health Care Service: Preliminary Mapping Study</title>
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<creator rank="2" URL="https://academic.microsoft.com/#/detail/3211925536" orcid="0000-0001-9882-0389">Ki-hun Kim</creator>
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<creator rank="1" URL="https://academic.microsoft.com/#/detail/3214669734" orcid="0000-0001-5334-8615">Pei-hua Huang</creator>
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<creator rank="3" URL="https://academic.microsoft.com/#/detail/3214611946" orcid="0000-0003-4283-9659">Maartje Schermer</creator>
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<contributor>Public Health</contributor>
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<description>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. </description>
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schemename="dnet:subject_classification_typologies" inferred="true"
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inferenceprovenance="update" provenanceaction="subject:fos">03 medical and health sciences</subject>
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inferenceprovenance="update" provenanceaction="subject:fos">03021201 Health care/Health care quality - datum/electronic health
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inferenceprovenance="update" provenanceaction="subject:fos">0301 basic medicine
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inferenceprovenance="update" provenanceaction="subject:fos">030104 Developmental Biology
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inferenceprovenance="update" provenanceaction="subject:fos">030304 Developmental Biology
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inferenceprovenance="update" provenanceaction="subject:fos">030304 Developmental Biology - datum/datum management/ethical
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inferenceprovenance="update" provenanceaction="subject:fos">06 humanities and the arts</subject>
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inferenceprovenance="update" provenanceaction="subject:fos">0603 philosophy, ethics and religion
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schemename="dnet:subject_classification_typologies" inferred="true"
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inferenceprovenance="update" provenanceaction="subject:fos">060301 Applied Ethics
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schemeid="dnet:subject_classification_typologies"
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schemename="dnet:subject_classification_typologies" inferred="true"
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inferenceprovenance="update" provenanceaction="subject:fos">06030101 Bioethics/Coordinates on Wikidata - intelligence/artificial intelligence/ethical
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inferenceprovenance="update" provenanceaction="subject:fos">06030101 Bioethics/Coordinates on Wikidata - datum/ethical
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<source>Journal of Medical Internet Research, 24(1):e33081. Journal of medical Internet Research</source>
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