Evidence map›Paper›PMID 34218818›Full record

ArticleLife sciences, society and policy2021

The use of digital twins in healthcare: socio-ethical benefits and socio-ethical risks.

Eugen Octav Popa, Mireille van Hilten, Elsje Oosterkamp, Marc-Jeroen Bogaardt

Abstract read
In one paragraph

Article in Life sciences, society and policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Future-Making From Afar: Digital Twins in Medicine.Sociology of health & illness · 2026
    Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. A survey on ethical digital twins in healthcare.Frontiers in artificial intelligence · 2026
    Review
  13. Article
  14. Review
  15. Review
  16. Enhancing randomized clinical trials with digital twins.NPJ systems biology and applications · 2025
    Review
  17. Article
  18. Article
  19. Article
  20. Article
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

4 authors.

Eugen Octav PopaDepartment of Communication, Philosophy and Technology, Wageningen University, Wageningen, the Netherlands. eugen.popa@wur.nl.ORCID http://orcid.org/0000-0002-8214-8986
Mireille van HiltenWageningen Economic Research, The Hague, the Netherlands.
Elsje OosterkampWageningen Economic Research, The Hague, the Netherlands.
Marc-Jeroen BogaardtWageningen Economic Research, The Hague, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anticipating the ethical impact of emerging technologies is an essential part of responsible innovation. One such emergent technology is the digital twin which we define here as a living replica of a physical system (human or non-human). A digital twin combines various emerging technologies such as AI, Internet of Things, big data and robotics, each component bringing its own socio-ethical issues to the resulting artefacts. The question thus arises which of these socio-ethical themes surface in the process and how they are perceived by stakeholders in the field. In this report we present the results of a qualitative study into the socio-ethical benefits and socio-ethical risks of using digital twins in healthcare. Employing insights from ethics of technology and the Quadruple Helix theory of innovation, we conducted desk research of white literature and 23 interviews with representatives from the four helixes: industry, research, policy and civil society. The ethical scan revealed several important areas where the digital twin can produce socio-ethical value (e.g., prevention and treatment of disease, cost reduction, patient autonomy and freedom, equal treatment) but also several important areas of socio-ethical risks (e.g., privacy and property of data, disruption of existing societal structures, inequality and injustice). We conclude with a reflection on the employed analytical tool and suggestions for further research.

Indexed as

Delivery of Health CareTechnologyBig DataHumansMoralsPrivacy

Identifiers

PMID34218818
PMCPMC8256511

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.