Evidence map›Paper›PMID 30873491›Full record

ArticleJournal of clinical and translational research2018

Legal challenges for the implementation of advanced clinical digital decision support systems in Europe.

Colin Mitchell, Corrette Ploem

Abstract read
In one paragraph

Article in Journal of clinical and translational research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  5. The role of health-related quality of life in improving cancer outcomes.Journal of clinical and translational research · 2023
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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

2 authors.

Colin MitchellAcademic Medical Center, University of Amsterdam, the Netherlands.
Corrette PloemDepartment of Public Health, Academic Medical Center, University of Amsterdam, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systems based on artificial intelligence and machine learning that facilitate decision making in health care are promising new tools in the era of 'personalized' or 'precision' medicine. As the volume of patient data and scientific evidence grows, these computerised decision support systems (DSS) have great potential to help healthcare professionals improve diagnosis and care for individual patients. However, the implementation of these tools in clinical care raises some foreseeable legal challenges for healthcare providers and DSS-suppliers in Europe: How does the use of complex and novel DSS relate to professional standards to provide a reasonable standard of care? What should be done in terms of testing before DSS can be used in regular practice? What are the potential liabilities of health care providers and DSS companies if a DSS fails to function well? How do legal requirements for the protection of patient data and general privacy rights apply to likely DSS scenarios? In this article, we provide an overview of the current law and its general implications for the use of DSS, from a European perspective. We conclude that healthcare providers and DSS-suppliers will have the best chance of meeting legal challenges if: they are first tested in translational research with the patients' explicit, informed consent; DSS-suppliers and healthcare providers are able to clarify and agree on their individual legal responsibilities, and; patients are properly informed about privacy risks and able to decide themselves whether their data can be used for other purposes, or are stored and processed outside the EU. DSS developers and healthcare providers will need to work together closely to ensure compliance with national and European regulations and standards required for reasonable and safe patient care. RELEVANCE FOR PATIENTS: Advanced digital decision support systems have the potential to improve patient diagnosis and care. In this article we discuss key legal issues to support translational research using DSS and ensure that they meet the high standards for protection of patient safety and privacy in Europe.

Indexed as

data protectiondecision support systemsmedical lawpersonalized medicineprivacy

Identifiers

PMID30873491
PMCPMC6412598

What OpenQuestion 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 OpenQuestion graph.