Evidence map›Paper›PMID 40124107›Full record

ArticleFrontiers in digital health2025

Trustworthiness of the electronic health record in Germany: an exploratory, user-centered analysis.

Niklas von Kalckreuth, Marvin Kopka, Christine Schmid, Cornelia Kratzer, Anna Reptuschenko, Markus A Feufel

Abstract read
In one paragraph

Article in Frontiers in digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Niklas von KalckreuthDivision of Ergonomics, Department of Psychology and Ergonomics (IPA), Technische Universität Berlin, Berlin, Germany.
Marvin KopkaDivision of Ergonomics, Department of Psychology and Ergonomics (IPA), Technische Universität Berlin, Berlin, Germany.
Christine SchmidDivision of Ergonomics, Department of Psychology and Ergonomics (IPA), Technische Universität Berlin, Berlin, Germany.
Cornelia KratzerDivision of Ergonomics, Department of Psychology and Ergonomics (IPA), Technische Universität Berlin, Berlin, Germany.
Anna ReptuschenkoDivision of Ergonomics, Department of Psychology and Ergonomics (IPA), Technische Universität Berlin, Berlin, Germany.
Markus A FeufelDivision of Ergonomics, Department of Psychology and Ergonomics (IPA), Technische Universität Berlin, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The integration of Electronic Health Records (EHRs) offers significant potential to improve patient care and reduce costs. In Germany, every patient will be provided with an EHR starting January 2025. However, the success of EHRs depends on patient trust and usage. Understanding the factors that shape perceived trustworthiness is crucial, yet EHR-specific research remains limited. Methods: To explore key factors influencing initial trust, 30 German participants interacted with a functionally realistic EHR prototype. Semi-structured interviews were conducted to evaluate its trustworthiness and suggest improvements. Results: Thematic analysis identified five key themes: Provider Reputation, User Feedback, User Experience of Contents, User Experience of Functions, and User Data Control. Discussion: Fostering trust in the German EHR requires attention to technical features and contextual factors. Beyond provider reputation, three aspects emerged as central: (a) professional visual and user experience design to enhance usability and signal reliability; (b) accurate, clear content to foster transparency; and (c) user empowerment through intuitive data control and accessible support. Transparent communication about GDPR compliance further strengthens trust and supports adoption. In Germany's tightly regulated environment, clearly conveying EHR security standards, providing robust support, and leveraging social proof can significantly enhance trust and drive adoption of digital health solutions.

Indexed as

data securityeHealthelectronic health recordprivacytrustworthiness

Identifiers

PMID40124107
PMCPMC11926143

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.