Evidence map›Paper›PMID 38295046›Full record

ArticlePloS one2024

Supporting regional pandemic management by enabling self-service reporting-A case report.

Richard Gebler, Martin Lehmann, Maik Löwe, Mirko Gruhl, Markus Wolfien, Miriam Goldammer, Franziska Bathelt, Jens Karschau, Andreas Hasselberg, Veronika Bierbaum and 6 more

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 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

16 authors.

Richard GeblerInstitute for Medical Informatics and Biometry, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany.ORCID 0009-0004-1543-9769
Martin LehmannInstitute for Medical Informatics and Biometry, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany.
Maik LöweInstitute for Medical Informatics and Biometry, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany.
Mirko GruhlInstitute for Medical Informatics and Biometry, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany.
Markus WolfienInstitute for Medical Informatics and Biometry, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany.ORCID 0000-0002-1887-4772
Miriam GoldammerInstitute for Medical Informatics and Biometry, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany.
Franziska BatheltInstitute for Medical Informatics and Biometry, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany.ORCID 0000-0002-4139-5489
Jens KarschauCenter for Evidence-Based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, University Hospital Carl Gustav Carus Dresden, Dresden, Germany.ORCID 0000-0002-6407-6667
Andreas HasselbergCenter for Evidence-Based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, University Hospital Carl Gustav Carus Dresden, Dresden, Germany.
Veronika BierbaumCenter for Evidence-Based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, University Hospital Carl Gustav Carus Dresden, Dresden, Germany.
Toni LangeCenter for Evidence-Based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, University Hospital Carl Gustav Carus Dresden, Dresden, Germany.
Katja PolotzekCenter for Evidence-Based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, University Hospital Carl Gustav Carus Dresden, Dresden, Germany.
Hanns-Christoph HeldClinic and Polyclinic for Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus Dresden, Dresden, Germany.
Michael AlbrechtUniversity Hospital Carl Gustav Carus Dresden, Dresden, Germany.
Jochen SchmittCenter for Evidence-Based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, University Hospital Carl Gustav Carus Dresden, Dresden, Germany.ORCID 0000-0003-0264-0960
Martin SedlmayrInstitute for Medical Informatics and Biometry, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic revealed a need for better collaboration among research, care, and management in Germany as well as globally. Initially, there was a high demand for broad data collection across Germany, but as the pandemic evolved, localized data became increasingly necessary. Customized dashboards and tools were rapidly developed to provide timely and accurate information. In Saxony, the DISPENSE project was created to predict short-term hospital bed capacity demands, and while it was successful, continuous adjustments and the initial monolithic system architecture of the application made it difficult to customize and scale.

methodsTo analyze the current state of the DISPENSE tool, we conducted an in-depth analysis of the data processing steps and identified data flows underlying users' metrics and dashboards. We also conducted a workshop to understand the different views and constraints of specific user groups, and brought together and clustered the information according to content-related service areas to determine functionality-related service groups. Based on this analysis, we developed a concept for the system architecture, modularized the main services by assigning specialized applications and integrated them into the existing system, allowing for self-service reporting and evaluation of the expert groups' needs.

resultsWe analyzed the applications' dataflow and identified specific user groups. The functionalities of the monolithic application were divided into specific service groups for data processing, data storage, predictions, content visualization, and user management. After composition and implementation, we evaluated the new system architecture against the initial requirements by enabling self-service reporting to the users. DISCUSSION: By modularizing the monolithic application and creating a more flexible system, the challenges of rapidly changing requirements, growing need for information, and high administrative efforts were addressed.

conclusionWe demonstrated an improved adaptation towards the needs of various user groups, increased efficiency, and reduced burden on administrators, while also enabling self-service functionalities and specialization of single applications on individual service groups.

Indexed as

Information Storage and RetrievalPandemicsData CollectionGermanyHumans

Identifiers

PMID38295046
PMCPMC10829976

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.