Evidence map›Paper›PMID 35087854›Full record

ArticleFrontiers in medicine2021

Management of Medico-Legal Risks in Digital Health Era: A Scoping Review.

Antonio Oliva, Simone Grassi, Giuseppe Vetrugno, Riccardo Rossi, Gabriele Della Morte, Vilma Pinchi, Matteo Caputo

Open access · goldAbstract readScoping Review
In one paragraph

Article in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 6% of its field
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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 citations in OpenAlex.

  1. Pooled it
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  7. Perception of primary care doctors towards telemedicine in Kuching, Sarawak: A cross-sectional study.Malaysian family physician : the official journal of the Academy of Family Physicians of Malaysia · 2024
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Artificial intelligence in forensic medicine and forensic dentistry.The Journal of forensic odonto-stomatology · 2023
    Review
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  15. Article
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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 at 2 institutions in 1 country.

Antonio OlivaLegal Medicine, Department of Health Surveillance and Bioethics, Università Cattolica del Sacro Cuore, Rome, Italy.
Simone GrassiLegal Medicine, Department of Health Surveillance and Bioethics, Università Cattolica del Sacro Cuore, Rome, Italy.
Giuseppe VetrugnoLegal Medicine, Department of Health Surveillance and Bioethics, Università Cattolica del Sacro Cuore, Rome, Italy.
Riccardo RossiLegal Medicine, Department of Health Surveillance and Bioethics, Università Cattolica del Sacro Cuore, Rome, Italy.
Gabriele Della MorteInternational Law, Institute of International Studies, Università Cattolica del Sacro Cuore, Milan, Italy.
Vilma PinchiDepartment of Health Sciences, Section of Forensic Medical Sciences, University of Florence, Florence, Italy.
Matteo CaputoCriminal Law, Department of Juridical Science, Università Cattolica del Sacro Cuore, Milan, Italy.
Università Cattolica del Sacro Cuore · ITUniversity of Florence · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence needs big data to develop reliable predictions. Therefore, storing and processing health data is essential for the new diagnostic and decisional technologies but, at the same time, represents a risk for privacy protection. This scoping review is aimed at underlying the medico-legal and ethical implications of the main artificial intelligence applications to healthcare, also focusing on the issues of the COVID-19 era. Starting from a summary of the United States (US) and European Union (EU) regulatory frameworks, the current medico-legal and ethical challenges are discussed in general terms before focusing on the specific issues regarding informed consent, medical malpractice/cognitive biases, automation and interconnectedness of medical devices, diagnostic algorithms and telemedicine. We aim at underlying that education of physicians on the management of this (new) kind of clinical risks can enhance compliance with regulations and avoid legal risks for the healthcare professionals and institutions.

Indexed as

artificial intelligencebig dataCOVID-19privacyrisk management

Identifiers

PMID35087854
PMCPMC8787306
OpenAlexW4206669310

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.