Evidence map›Paper›PMID 37079066›Full record

ReviewBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2023

[BeoNet-Halle-development of a multifunctional database for the automated extraction of healthcare data from general practitioner and specialist practices].

Konstantin Moser, Rafael Mikolajczyk, Alexander Bauer, Daniel Tiller, Jan Christoph, Oliver Purschke, Sara Lena Lückmann, Thomas Frese

Open access · hybridAbstract readEnglish AbstractReview
In one paragraph

Review in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.4field-weighted citation impact, top 6% of its field
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

5 citing papers in PubMed, 10 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Konstantin MoserInstitut für Allgemeinmedizin, Medizinische Fakultät, Martin-Luther-Universität Halle-Wittenberg, Magdeburger Str. 8, 06112, Halle (Saale), Deutschland. konstantin.moser@uk-halle.de.
Rafael MikolajczykInstitut für Medizinische Epidemiologie, Biometrie und Informatik, Medizinische Fakultät, Martin-Luther-Universität Halle-Wittenberg, 06112, Halle (Saale), Deutschland.
Alexander BauerInstitut für Allgemeinmedizin, Medizinische Fakultät, Martin-Luther-Universität Halle-Wittenberg, Magdeburger Str. 8, 06112, Halle (Saale), Deutschland.
Daniel TillerUniversitätsklinikum Halle, Datenintegrationszentrum SMITH Konsortium, 06120, Halle (Saale), Deutschland.
Jan ChristophAG (Bio‑)Medical Data Science, Medizinische Fakultät, Martin-Luther-Universität Halle-Wittenberg, 06112, Halle (Saale), Deutschland.
Oliver PurschkeInstitut für Medizinische Epidemiologie, Biometrie und Informatik, Medizinische Fakultät, Martin-Luther-Universität Halle-Wittenberg, 06112, Halle (Saale), Deutschland.
Sara Lena LückmannInstitut für Medizinische Epidemiologie, Biometrie und Informatik, Medizinische Fakultät, Martin-Luther-Universität Halle-Wittenberg, 06112, Halle (Saale), Deutschland.
Thomas FreseInstitut für Allgemeinmedizin, Medizinische Fakultät, Martin-Luther-Universität Halle-Wittenberg, Magdeburger Str. 8, 06112, Halle (Saale), Deutschland.
Martin Luther University Halle-Wittenberg · DEUniversity Hospital in Halle · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Beobachtungspraxennetzwerk Halle (BeoNet-Halle) is an innovative database of outpatient care that has been collecting patient data from participating primary care and specialty practices throughout Germany since 2020 and making it available for research and care. The database is set up and maintained by the Institute of Medical Epidemiology, Biometrics and Informatics and the Institute of General Practice and Family Medicine of the Martin Luther University Halle-Wittenberg. Furthermore, the Data Integration Center of the University Medical Center Halle is involved in the project. In principle, anonymized and pseudonymized patient data from all commercially available practice management systems should flow into the databases.In this article, we describe the structure and methods of the multi-purpose database BeoNet and quantify the current data stock. The workflow of collection, transfer, and storage of broad consents is described and advantages and limitations of the database are discussed.BeoNet-Halle currently contains anonymized data of approximately 73,043 patients from five physician practices. Furthermore, it includes data from more than 2,653,437 ICD-10 diagnoses, 1,403,726 prescriptions, and 1,894,074 laboratory results. Pseudonymized data were successfully exported from 481 patients.BeoNet-Halle enables an almost seamless representation of the care provided in the participating practices. In the future, the database will map patient treatment pathways across practices and provide high-quality care data to contribute to health policy decision-making and optimization of care processes.

Indexed as

General PracticeGeneral PractitionersAcademic Medical CentersDelivery of Health CareGermanyHumansElectronic health recordsGermanyHealth services researchOutpatient careRegistries

Identifiers

PMID37079066
PMCPMC10163113
OpenAlexW4366463447

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.