Evidence map›Paper›PMID 30424753›Full record

ArticleBMC medical informatics and decision making2018

Weighing benefits and risks in aspects of security, privacy and adoption of technology in a value-based healthcare system.

Edward Meinert, Abrar Alturkistani, David Brindley, Peter Knight, Glenn Wells, Nick de Pennington

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

6 authors.

Edward MeinertHealthcare Translation Research Group, Department of Paediatrics, University of Oxford, Oxford, OX3 9DU, UK. e.meinert14@imperial.ac.uk.ORCID 0000-0003-2484-3347
Abrar AlturkistaniDepartment of Infectious Disease Epidemiology, Faculty of Medicine, School of Public Health, Imperial College London, London, W6 8RP, UK.
David BrindleyHealthcare Translation Research Group, Department of Paediatrics, University of Oxford, Oxford, OX3 9DU, UK.
Peter KnightOxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Headley Way, Headington, Oxford, OX3 9DU, UK.
Glenn WellsOxford Academic Health Science Centre, Oxford, OX4 4GA, UK.
Nick de PenningtonOxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Headley Way, Headington, Oxford, OX3 9DU, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTechnology can potentially enable the implementation of a value-based healthcare system, where the impact of quality of care is offered at optimised cost for maximised patient benefit. Technology can deliver value by aiding in data collection to evaluate outcomes and measure costs on a patient and population level. Healthcare organisations, however, face several challenges and risks that result almost exclusively from the use of these technologies. DISCUSSION: Some challenges associated with healthcare technology include their unsustainability, due to lack of scale-up plans and timely evaluations. Other risks include noncompliance with data protection policies, inadequate data governance, and overestimated expectations resulting from the rapid introduction of new technologies.

conclusionOrganisations need to consider the risks and challenges associated with the use of technology and develop comprehensive strategies that mitigate factors leading to non-adoption and to realise benefits for achieving a value-based healthcare system.

Indexed as

Computer SecurityCost-Benefit AnalysisDelivery of Health CareMedical InformaticsPrivacyHumansDelivery of health careTechnology adoptionValue-based healthcare

Identifiers

PMID30424753
PMCPMC6234649

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.