Evidence map›Paper›PMID 42422188›Full record

SynthesisFrontiers in medical technology2026

Reported best practices for effective risk management of medical devices: a scoping review.

Rosario Luxardo, Arkeliana Tase, Florence Leong, Massimo Micocci, Martina Tognini, Peter Buckle, Melody Ni

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in medical technology, 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

7 authors.

Rosario LuxardoDepartment of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, United Kingdom.
Arkeliana TaseDepartment of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, United Kingdom.
Florence LeongHealth and Technology Theme, School of Convergence Science, Imperial College London, London, United Kingdom.
Massimo MicocciDepartment of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, United Kingdom.
Martina TogniniBiomedical Research Centre, Biomedical Engineering Theme, Department of Bioengineering, Imperial College London, London, United Kingdom.
Peter BuckleDepartment of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, United Kingdom.
Melody NiDepartment of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Risk management (RM) is an essential element for developing safe technologies and frequently a requirement by the regulators. The practice of RM spans from pre-to-post market stages, starting from product development and continuing after product launch. Technological advancements and shifting demands in healthcare led to rapid growth of new technologies such as AI, robotics and point of care diagnostics, presenting many unknowns to the RM process. This study aims to review best practices in medical device RM, highlight gaps and ambiguities in knowledge and identify priorities for future research. A thorough literature review was conducted in June 2025 in two parts: (A) assessment of official updated regulatory documents and guidelines for Medical Devices (MDs), and (B) review published literature for reported best practices in RM of MDs. Part A of the search focused on official regulatory agencies, and Part B of the search was conducted on OVID, Embase, Medline, PubMed, Engineering Village, Scopus, and Google Scholar. A 10-year and English as language limit was applied only for part B. Our search found 147 publications (16 were guidelines from regulatory agencies and 131 were from peer reviewed literature). A total of one regulatory document and 11 studies met the inclusion criteria. Step (A) ISO 14971 was the only regulatory document that explicitly described a structured process for RM. Step (B) Although no single best practice was identified, several recurring themes emerged. Significant best practices suggest the use of hybrid or multi-component frameworks (

Indexed as

best practicesintended userin vitro diagnosticsmedical devicemedical device regulationpatient safetyrisk managementstandards of care

Identifiers

PMID42422188
PMCPMC13341656

What Socratic 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 Socratic graph.