Evidence map›Paper›PMID 35419559›Full record

ArticleFrontiers in digital health2022

The Disruption of Trust in the Digital Transformation Leading to Health 4.0.

Michael Guckert, Kristina Milanovic, Jennifer Hannig, David Simon, Tamara Wettengl, Daniel Evers, Arnd Kleyer, Till Keller, Jeremy Pitt

Abstract read
In one paragraph

Article in Frontiers in digital health, 2022. 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

9 authors.

Michael GuckertCognitive Information Systems, KITE-Kompetenzzentrum für Informationstechnologie, Technische Hochschule Mittelhessen-University of Applied Science, Friedberg, Germany.
Kristina MilanovicDepartment of Electrical and Electronic Engineering, Imperial College London, London, United Kingdom.
Jennifer HannigCognitive Information Systems, KITE-Kompetenzzentrum für Informationstechnologie, Technische Hochschule Mittelhessen-University of Applied Science, Friedberg, Germany.
David SimonDepartment of Internal Medicine 3-Rheumatology and Immunology, Friedrich-Alexander University (FAU) Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany.
Tamara WettenglLilly Deutschland GmbH, Bad Homburg, Germany.
Daniel EversLilly Deutschland GmbH, Bad Homburg, Germany.
Arnd KleyerDepartment of Internal Medicine 3-Rheumatology and Immunology, Friedrich-Alexander University (FAU) Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany.
Till KellerDepartment of Internal Medicine I, Cardiology, Justus-Liebig-University Gießen, Gießen, Germany.
Jeremy PittDepartment of Electrical and Electronic Engineering, Imperial College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The specification and application of policies and guidelines for public health, medical education and training, and screening programmes for preventative medicine are all predicated on trust relationships between medical authorities, health practitioners and patients. These relationships are in turn predicated on a verbal contract that is over two thousand years old. The impact of information and communication technology (ICT), underpinning Health 4.0, has the potential to disrupt this analog relationship in several dimensions; but it also presents an opportunity to strengthen it, and so to increase the take-up and effectiveness of new policies. This paper develops an analytic framework for the trust relationships in Health 4.0, and through three use cases, assesses a medical policy, the introduction of a new technology, and the implications of that technology for the trust relationships. We integrate this assessment in a set of actionable recommendations, in particular that the trust framework should be part of the design methodology for developing and deploying medical applications. In a concluding discussion, we advocate that, in a post-pandemic world, IT to support policies and programmes to address widespread socio-medical problems with mental health, long Covid, physical inactivity and vaccine misinformation will be essential, and for that, strong trust relationships between all the stakeholders are absolutely critical.

Indexed as

artificial intelligenceHealth 4.0medical educationpublic healthsupervised exercisetrustvirtual reality

Identifiers

PMID35419559
PMCPMC8995643

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.