Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Aug 23, 2021
Date Accepted: Nov 16, 2021
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Mapping the Ethical Issues of Digital Twins for Personalised Healthcare Service
ABSTRACT
Background:
The concept of digital twins has great potential for transforming the existing healthcare system by making it more personalised. As a convergence of healthcare, artificial intelligence, and information and communication technologies, personalised healthcare services developed under the concept of digital twins raise a myriad of ethical issues. While some of the ethical issues are known to researchers working on digital health and personalised medicine, currently there is no comprehensive review that maps major ethical risks of digital twins for personalised healthcare services.
Objective:
This paper fills the research gap by identifying major ethical risks of digital twins for personalised healthcare services. We first propose a working definition for digital twins for personalised healthcare services (DTPHS) to facilitate future discussion on the ethical issues related to these emerging digital health services. We then developed a process-oriented ethical map to identify major ethical risks against each of the different data processing phases.
Methods:
This research aims to address this research gap by providing a comprehensive analysis of major ethical risks of DTPHSs. Due to the scarcity of literature on DTPHSs, we are unable to perform a systematic review of ethical concerns over DTPHSs. Thus, we resort to literature on eHealth, personalised medicine, precision medicine, and information engineering to identify potential issues. We develop 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.
Results:
The process-oriented ethical analysis identified ten operational problems and the relevant ethical values. By structuring the operational problems and relevant ethical values in a clear logical flow, this process-oriented ethical map allows developers of DTPHSs and stakeholders to have a comprehensive overview of major ethical risks while refining the design of DTPHSs. The ethical values section on the map also helps developers of DTPHSs better understand which values they ought to consider while developing solutions for an operational problem they encounter.
Conclusions:
It is challenging to address all of the major ethical risks a DTPHS might encounter proactively without a conceptual map at hand. The process-oriented ethical map we propose here can assist developers of DTPHSs in analysing ethical risks in a more systematic manner. Clinical Trial: N/A
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Copyright
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