Evidence map›Paper›PMID 35099399›Full record

ArticleJournal of medical Internet research2022

Ethical Issues of Digital Twins for Personalized Health Care Service: Preliminary Mapping Study.

Pei-Hua Huang, Ki-Hun Kim, Maartje Schermer

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Digital Twin Technology In Radiology.Journal of imaging informatics in medicine · 2026
    Review
  6. Article
  7. A survey on ethical digital twins in healthcare.Frontiers in artificial intelligence · 2026
    Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. Enhancing randomized clinical trials with digital twins.NPJ systems biology and applications · 2025
    Review
  13. Digital Cognitive Twins in mental health.Nature. Mental health · 2025
    Article
  14. Review
  15. Article
  16. Review
  17. Could digital twins be the next revolution in healthcare?European journal of public health · 2025
    Review
  18. Review
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Pei-Hua Huang *Department of Medical Ethics, Philosophy and History of Medicine, Erasmus MC University Medical Center, Rotterdam, Netherlands.ORCID 0000-0001-5334-8615
Ki-Hun Kim *Department of Industrial Engineering, Pusan National University, Busan, Republic of Korea.ORCID 0000-0001-9882-0389
Maartje SchermerDepartment of Medical Ethics, Philosophy and History of Medicine, Erasmus MC University Medical Center, Rotterdam, Netherlands.ORCID 0000-0003-4283-9659

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

objectiveThis 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.

Indexed as

Artificial IntelligenceTelemedicineDelivery of Health CareHealth ServicesHumansPrecision Medicinedata-driven health caredigital healthdigital twinsethics of health care technologypersonalized health care servicevalue-sensitive design

Identifiers

PMID35099399
PMCPMC8844982

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.