Evidence mapPaperPMID 42496802Full record

ArticleHealth care analysis : HCA : journal of health philosophy and policy2026

A Pathway from Law to Care: How the Artificial Intelligence Act, the Medical Device Regulation, and the Public Procurement Directive Can Contribute to Ensuring Quality in Healthcare.

Jennifer Viberg Johansson, Santa Slokenberga

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Article in Health care analysis : HCA : journal of health philosophy and policy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jennifer Viberg JohanssonCentre for Research Ethics & Bioethics, Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden. jennifer.viberg-johansson@uu.se.ORCID http://orcid.org/0000-0001-9533-9274
Santa SlokenbergaDepartment of Law, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-5621-8485

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence (AI) is increasingly embedded in healthcare delivery, and when systems are scaled across clinical workflows, errors may have system-wide consequences. The Artificial Intelligence Act (AIA) and the Medical Device Regulation (MDR) establish important safety requirements for AI-based medical devices placed on the EU market, but they do not, in themselves, guarantee that AI tools deliver quality care for patients in real-world clinical settings. This article examines how the EU Public Procurement Directive (PPD) can complement the AIA and MDR to strengthen quality assurance when AI tools are adopted in healthcare systems across EU Member States. The article proposes specific procurement mechanisms as a prerequisite for adoption, thereby translating regulatory safeguards into practice. The article also argues that healthcare providers play a critical role in shaping the quality of AI. Beyond CE-marking, procurement should require evidence of clinical relevance, context-specific documentation, transparency in system design, and clearly defined quality criteria, including diagnostic accuracy and patient outcomes. Embedding legal and ethical requirements in procurement provides a pathway from law to care, ensuring that AI supports safe, equitable, and high-quality healthcare.

Indexed as

AIAI Act (AIA)HealthcareMedical Device Regulation (MDR)Public Procurement Directive (PPD)Quality

Identifiers

What Socratic holds

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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 Socratic graph.