ArticleJMIR public health and surveillance2019
Perception of the Progressing Digitization and Transformation of the German Health Care System Among Experts and the Public: Mixed Methods Study.
Article in JMIR public health and surveillance, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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.
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.
Who cites it
21 citing papers in PubMed.
- Trial
- Patients' Perspectives on Applications of AI and Personalized Medicine in Life-Threatening Heart Disease: European Cross-Sectional Patient Questionnaire Study.Journal of medical Internet research · 2026Article
- Public perceptions of digitalisation and patient safety: a cross-sectional survey in Germany.BMJ open · 2025Article
- A cross-sectional online survey on oncologists' attitudes toward and experiences with providing patients with audio recordings of their medical encounters.Scientific reports · 2025Article
- Detailed Analysis and Road Map Proposal for Care Transition Records and Their Transmission Process: Mixed Methods Study.JMIR nursing · 2025Article
- Forecasting the future of smart hospitals: findings from a real-time delphi study.BMC health services research · 2024Article
- Attitudes and experiences of cancer patients toward the provision of audio recordings of their own medical encounter: a cross-sectional online survey.Frontiers in psychology · 2024Article
- Unique Device Identification-Based Linkage of Hierarchically Accessible Data Domains in Prospective Surgical Hospital Data Ecosystems: User-Centered Design Approach.JMIR medical informatics · 2023Article
- Neurological Outpatients Prefer EEG Home-Monitoring over Inpatient Monitoring-An Analysis Based on the UTAUT Model.International journal of environmental research and public health · 2022Article
- Healthcare Providers' Knowledge of Value-Based Care in Germany: An Adapted, Mixed-Methods Approach.International journal of environmental research and public health · 2022Article
- Digitalization in Medicine: Are German Medical Students Well Prepared for the Future?International journal of environmental research and public health · 2022Article
- Medical Students' Perceptions towards Digitization and Artificial Intelligence: A Mixed-Methods Study.Healthcare (Basel, Switzerland) · 2022Article
- Database Supported Long-term Management of Chronic Diseases - Data from the German Disease Management Programmes as a Source for Continuing Medical Education.Journal of European CME · 2022Article
- Continuing Professional Development (CPD) within the Workplace in a Digitised Health-Care System: The Perspective from a German Professional Union.Journal of European CME · 2022Article
- Telemedicine consultations with physicians in Swedish primary care: a mixed methods study of users' experiences and care patterns.Scandinavian journal of primary health care · 2021Article
- Acceptance of Telerheumatology by Rheumatologists and General Practitioners in Germany: Nationwide Cross-sectional Survey Study.Journal of medical Internet research · 2021Article
- Training strategies for a sustainable medical care: a survey among assistant and chief physicians in a tertiary care hospital in Germany.Innovative surgical sciences · 2020Article
- Myths and facts about artificial intelligence: why machine- and deep-learning will not replace interventional radiologists.Medical oncology (Northwood, London, England) · 2020Review
- Article
- Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHealth care systems worldwide are struggling to keep rising costs at bay with only modest outcome improvement among many diseases. Digitization with technologies like Artificial Intelligence or Machine Learning algorithms might address this. Although digital technologies have been successfully applied in clinical studies the effect on the overall health care system so far was limited. The regulatory ecosystem or data privacy might be responsible, but other reasons may also predominate.
objectiveWe analyzed how the digitization of the German health care market is currently perceived among different stakeholders and investigated reasons for its slow adaption.
methodsThis was a mixed methods study split into a qualitative Part A using the conceptual approach of the Grounded Theory and a quantitative Part B using the Delphi method. For Part A we interviewed experts in the health care system and converted the results into 17 hypotheses. The Delphi method consisted of an online survey which was sent to the participants via email and was available for three months. For the assessment of the 17 hypotheses, the participants were given a six-point Likert scale. The participants were grouped into patients, physicians, and providers of services within the German health care market.
resultsThere was a strong alignment of opinions on the hypotheses between experts (N=21) and survey participants (N=733), with 70.5% overall agreement on 12/17 hypotheses. Physicians demonstrated the lowest level of agreement with the expert panel at 88% (15/17) disagreement, with the hypotheses "H8: Digitization in the health care system will free up jobs," and "H6: Digitization in the health care system will empower the patients," perceived to be in profound disagreement (P=.036 and P<.001, respectively).
conclusionsDespite the firm agreement among participants and experts regarding the impact of digitization on the health care system, physicians demonstrated a more negative attitude. We assume that this might be a factor contributing to the slow adoption of digitization in practice. Physicians might be struggling with changing power structures, so future measures to transform the market should involve them to a larger degree.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.