Evidence map›Paper›PMID 29588274›Full record

Observational studyJournal of medical Internet research2018

Digital Transformation and Disruption of the Health Care Sector: Internet-Based Observational Study.

Maximilian Herrmann, Philip Boehme, Thomas Mondritzki, Jan P Ehlers, Stylianos Kavadias, Hubert Truebel

Abstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 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

31 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Participation in the digital transformation of healthcare: a review of qualitative studies.International journal of health care quality assurance · 2024
    Pooled it
  2. Digitalization and disruptive change in rheumatology.Zeitschrift fur Rheumatologie · 2023
    Pooled it
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  18. Interplay between Networking Capability and Hospital Performance in Indonesia's Medical Tourism Sector.International journal of environmental research and public health · 2022
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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.

Maximilian Herrmann *Didactics and Educational Research in Health Science, Faculty of Health, Witten/Herdecke University, Witten, Germany.ORCID 0000-0002-4788-6182
Philip Boehme *Didactics and Educational Research in Health Science, Faculty of Health, Witten/Herdecke University, Witten, Germany.ORCID 0000-0003-2285-9273
Thomas MondritzkiDidactics and Educational Research in Health Science, Faculty of Health, Witten/Herdecke University, Witten, Germany.ORCID 0000-0003-0162-773X
Jan P EhlersDidactics and Educational Research in Health Science, Faculty of Health, Witten/Herdecke University, Witten, Germany.ORCID 0000-0001-6306-4173
Stylianos KavadiasJudge Business School, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-9769-2642
Hubert TruebelCardiovascular Research, Bayer Aktiengesellschaft, Wuppertal, Germany.ORCID 0000-0001-6413-7864

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital innovation, introduced across many industries, is a strong force of transformation. Some industries have seen faster transformation, whereas the health care sector only recently came into focus. A context where digital corporations move into health care, payers strive to keep rising costs at bay, and longer-living patients desire continuously improved quality of care points to a digital and value-based transformation with drastic implications for the health care sector.

objectiveWe tried to operationalize the discussion within the health care sector around digital and disruptive innovation to identify what type of technological enablers, business models, and value networks seem to be emerging from different groups of innovators with respect to their digital transformational efforts.

methodsFrom the Forbes 2000 and CBinsights databases, we identified 100 leading technology, life science, and start-up companies active in the health care sector. Further analysis identified projects from these companies within a digital context that were subsequently evaluated using the following criteria: delivery of patient value, presence of a comprehensive and distinctive underlying business model, solutions provided, and customer needs addressed.

resultsOur methodological approach recorded more than 400 projects and collaborations. We identified patterns that show established corporations rely more on incremental innovation that supports their current business models, while start-ups engage their flexibility to explore new market segments with notable transformations of established business models. Thereby, start-ups offer higher promises of disruptive innovation. Additionally, start-ups offer more diversified value propositions addressing broader areas of the health care sector.

conclusionsDigital transformation is an opportunity to accelerate health care performance by lowering cost and improving quality of care. At an economic scale, business models can be strengthened and disruptive innovation models enabled. Corporations should look for collaborations with start-up companies to keep investment costs at bay and off the balance sheet. At the same time, the regulatory knowledge of established corporations might help start-ups to kick off digital disruption in the health care sector.

Indexed as

Delivery of Health CareHealth Care SectorHumansInternetQuality Improvementdelivery of health carediffusion of innovationdigital transformationdisruptive innovationefficiencyentrepreneurshiphealth care reformhealth care sectorincremental innovationmodelsorganizationalorganizational innovation

Identifiers

PMID29588274
PMCPMC5893888

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.