Evidence map›Paper›PMID 42404599›Full record

ArticleDigital health

Smarter rules for digital health: How the digital omnibus can simplify without sacrificing patient rights.

Michele Russo, Elena Giovanna Bignami

Abstract read
In one paragraph

Article in Digital health. 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.

Michele RussoAnesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Parma, Italy.ORCID https://orcid.org/0009-0002-1907-3296
Elena Giovanna BignamiAnesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Parma, Italy.ORCID https://orcid.org/0000-0001-9985-4126

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The European Commission's Digital Omnibus proposal aims to simplify the European Union's complex digital legislative framework, which includes the GDPR, Data Act, and AI Act. While streamlining regulatory compliance is an attractive objective for healthcare stakeholders, it must not compromise the foundational elements of patient rights, privacy, and data security. This policy-oriented perspective analyzes the proposed amendments and the subsequent European Data Protection Board (EDPB) and European Data Protection Supervisor (EDPS) Joint Opinion 2/2026. Through a thematic and doctrinal analysis of these regulatory documents, this article examines four critical areas impacting digital health: (1) definitions of personal and pseudonymised data; (2) data processing for scientific research and AI; (3) the balance between data subject rights and administrative burdens; and (4) emergency data access and ePrivacy. We argue that data security is a prerequisite for trustworthy digital health systems, and regulatory simplification must not inadvertently expand the attack surface for health data. We conclude that while the Digital Omnibus offers necessary relief from compliance fatigue, true digital health governance requires a 'security-by-design' roadmap. Policymakers must adopt targeted derogations for health data that facilitate EHDS cross-border interoperability and AI innovation, without dismantling the foundational pseudonymisation and transparency safeguards upon which patient trust relies.

Indexed as

artificial intelligence in healthcareautomated decision-makingdata protectiondata subject rightsdigital healthGDPRhealth data governancepatient privacypseudonymisationregulatory compliance

Identifiers

PMID42404599
PMCPMC13333043

What OpenQuestion holds

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LicenceCC BY-NC
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.