Evidence map›Paper›PMID 40128810›Full record

ArticleBMC medical informatics and decision making2025

COVID-19 vaccination and test management for healthcare workers-development, implementation and feasibility of a custom human resources information platform at a university hospital.

Matthias Bonigut, Ana Zhelyazkova, Mathias Weber, Stefanie Geiser-Metz, Markus Geis, Bernhard Heindl, Stephan Prückner

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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.

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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

7 authors.

Matthias Bonigut *Institut für Notfallmedizin und Medizinmanagement (INM), LMU Klinikum, Schillerstr, 53, 80336, Munich, Germany.
Ana Zhelyazkova *Institut für Notfallmedizin und Medizinmanagement (INM), LMU Klinikum, Schillerstr, 53, 80336, Munich, Germany. Ana.Zhelyazkova@med.uni-muenchen.de.
Mathias WeberInstitut für Notfallmedizin und Medizinmanagement (INM), LMU Klinikum, Schillerstr, 53, 80336, Munich, Germany.
Stefanie Geiser-MetzInstitut für Notfallmedizin und Medizinmanagement (INM), LMU Klinikum, Schillerstr, 53, 80336, Munich, Germany.
Markus GeisInstitut für Notfallmedizin und Medizinmanagement (INM), LMU Klinikum, Schillerstr, 53, 80336, Munich, Germany.
Bernhard HeindlDepartment of Strategic Business Development, LMU Klinikum, Marchioninistr, 15, 81377, Munich, Germany.
Stephan PrücknerInstitut für Notfallmedizin und Medizinmanagement (INM), LMU Klinikum, Schillerstr, 53, 80336, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe continuously evolving legislative and reporting requirements during the COVID-19 pandemic posed the demand for establishing an efficient real-time human resources management system at the LMU University Hospital, one of the largest university hospitals in Germany. Developing a system allowing for agile real-time analysis as well as for reporting employees' COVID-19 vaccination and testing status while ensuring the security of personnel data presented several technical and managerial challenges.

methodsWe designed and implemented a custom COVID-19 human resources information platform in order to fulfill the LMU University Hospital's legal requirement to report employees' vaccination and testing status. We designed the platform as an all-in-one solution for all relevant COVID-19 data, merged from five individual sources. The development process was guided by the principles of findability, accessibility, interoperability and reusability (FAIR) with particular focus on interoperability. Here, we present the platform's design, cumulative user data and discuss the feasibility of the approach including its intended and unintended outcomes.

resultsThe COVID-19 human resources management platform was the first solution of its kind at the LMU University Hospital, emerging from the specific need for an efficient exterior and interior mandate fulfillment. It served both for operational management purposes as well as for strategic pandemic and hospital management. The immediate dependency on data privacy and regulatory adaptations due to the evolving pandemic situation posed the necessity for regular adaptations to the platform's structure.

conclusionsThe presented case reveals how data utilization requires the concurrent and proactive consideration of data security and interoperability against the background of a scalable architecture. Simultaneously, the development of such platforms needs to be open to new cases, functions and sources, thus requiring a dynamic and agile environment.

Indexed as

COVID-19COVID-19 VaccinesHealth PersonnelHospitals, UniversityVaccinationFeasibility StudiesGermanyHumansSARS-CoV-2COVID-19 VaccinesCOVID-19Data administrationData interoperabilityData securityHealthcare workforceHospital managementPandemic response

Identifiers

PMID40128810
PMCPMC11934466

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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.