Evidence map›Paper›PMID 39451469›Full record

ArticleHealthcare (Basel, Switzerland)2024

Sharing for Caring? A Patients' and Clinicians' View on Handling Personal Medical Data in the Context of Digitization: An Exploratory Study.

Kevin Frank, Thorsten Mengesdorf, Marija Radić, Philipp Herrmann, Arno Appenzeller, Henrik Mucha, Berna Orak, Indra Spiecker Gen Döhmann, Stefan Rüping, Harald Burkhardt and 2 more

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Kevin FrankFraunhofer Institute for Translational Medicine and Pharmacology ITMP, 60596 Frankfurt, Germany.ORCID 0000-0003-2516-9673
Thorsten MengesdorfFraunhofer Institute for Translational Medicine and Pharmacology ITMP, 60596 Frankfurt, Germany.
Marija RadićFraunhofer Center for International Management and Knowledge Economy IMW, 04109 Leipzig, Germany.ORCID 0000-0002-7746-2065
Philipp HerrmannFraunhofer Center for International Management and Knowledge Economy IMW, 04109 Leipzig, Germany.ORCID 0000-0002-3763-7916
Arno AppenzellerVision and Fusion Laboratory (IES), Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany.ORCID 0000-0002-7090-5388
Henrik MuchaHochschule der Medien Stuttgart, University of Applied Sciences, 70569 Stuttgart, Germany.
Berna OrakChair of Law of Digitization, Institute for Digitization, University of Cologne, 50923 Cologne, Germany.
Indra Spiecker Gen DöhmannChair of Law of Digitization, Institute for Digitization, University of Cologne, 50923 Cologne, Germany.
Stefan RüpingFraunhofer Institute for Intelligent Analysis and Information Systems IAIS, 53757 Sankt Augustin, Germany.
Harald BurkhardtDivision of Rheumatology, Goethe University Frankfurt, 60596 Frankfurt, Germany.
Michaela KöhmFraunhofer Institute for Translational Medicine and Pharmacology ITMP, 60596 Frankfurt, Germany.ORCID 0000-0002-3579-5574
Stephanie DauthFraunhofer Institute for Translational Medicine and Pharmacology ITMP, 60596 Frankfurt, Germany.ORCID 0000-0002-2752-3739

Funding

German Federal Ministry of Education and Research 01GP2112A - DATACARE - Data sovereignty and informed consent as enablers for pa-tient-oriented AI-driven clinical research
6 · The paper itself

Abstract

backgroundThe healthcare sector is currently undergoing a significant transformation, driven by an increased utilization of data. In this evolving landscape, surveys are of pivotal importance to the comprehension of patient needs and preferences. Moreover, the digital affinity of patients and physicians within the healthcare system is reforming the manner in which healthcare services are accessed and delivered. The utilization and donation of data are influencing the future of medical research and treatment, while artificial intelligence (AI) is empowering patients and physicians with knowledge and improving healthcare delivery.

methodsIn order to evaluate the opinions of patients and physicians regarding the management of personal health data and the functionality of upcoming data management devices in the context of healthcare digitization, we conducted an exploratory study and designed a survey. The survey focused on a number of key areas, including demographics, experience with digitization, data handling, the identification of needs for upcoming digitization, and AI in healthcare.

resultsA total of 40 patients and 15 physicians participated in the survey. The results indicate that data security, timesaving/administrative support, and digital communication are aspects that patients associate with patient-friendly digitization. Based on the responses provided by physicians, it might be concluded that future digital platforms should prioritize usability, time efficacy, data security, and interoperability.

conclusionsIn terms of expectations for future digital platforms, there is a notable overlap between the needs expressed by patients and those identified by physicians, particularly in relation to usability, time management, data security, and digital communication. This suggests that the requirements of different stakeholders can be combined in a future system, although individual issues may still require attention.

Indexed as

AI in healthcaredata sovereigntyexploratory studypatient data managementpatient involvementpatient survey

Identifiers

PMID39451469
PMCPMC11507340

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.