Evidence map›Paper›PMID 42422691›Full record

ArticleFrontiers in public health2026

Emerging shadow health systems: regulating health-focused generative AI chatbots from a European perspective.

Hannah van Kolfschooten, Tjaša Petročnik

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

2 authors.

Hannah van KolfschootenCentre for Life Sciences Law, Faculty of Law, University of Basel, Basel, Switzerland.
Tjaša PetročnikTilburg Institute for Law, Technology, and Society, Tilburg University, Tilburg, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ChatGPT Health and other health-focused generative AI chatbots increasingly function as alternative first points of contact that may mediate-and in some cases substitute-engagement with regulated healthcare systems. At scale, these systems can shape care-seeking behavior, system capacity, trust in clinical expertise, and health equity. We describe this development as the emergence of shadow health systems: privately governed infrastructures that perform health-system functions without being subject to healthcare-specific safeguards. EU law currently regulates such tools based on declared medical purpose rather than their real-world effects, creating gaps in legal protection. This Policy Brief examines the public health implications and regulatory positioning of health-focused generative AI chatbots in Europe and proposes targeted reforms to address emerging governance gaps.

Indexed as

Delivery of Health CareDigital HealthEuropeGenerative Artificial IntelligenceHumansAI regulationChatGPTChatGPT Healthdigital public healthgenerative AIhealth chatbotshealth equityhealth law

Identifiers

PMID42422691
PMCPMC13341921

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.