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Gebler R, Lehmann M, Löwe M, Gruhl M, Wolfien M, Goldammer M, Bathelt F, Karschau J, Hasselberg A, Bierbaum V, Lange T, Polotzek K, Held HC, Albrecht M, Schmitt J, Sedlmayr M. Supporting regional pandemic management by enabling self-service reporting-A case report. PLoS One 2024; 19:e0297039. [PMID: 38295046 PMCID: PMC10829976 DOI: 10.1371/journal.pone.0297039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 12/26/2023] [Indexed: 02/02/2024] Open
Abstract
BACKGROUND The 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. METHODS To 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. RESULTS We 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. CONCLUSION We 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.
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Affiliation(s)
- Richard Gebler
- Institute for Medical Informatics and Biometry, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Martin Lehmann
- Institute for Medical Informatics and Biometry, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Maik Löwe
- Institute for Medical Informatics and Biometry, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Mirko Gruhl
- Institute for Medical Informatics and Biometry, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Markus Wolfien
- Institute for Medical Informatics and Biometry, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Miriam Goldammer
- Institute for Medical Informatics and Biometry, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Franziska Bathelt
- Institute for Medical Informatics and Biometry, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany
- Thiem-Research GmbH at Carl-Thiem-Clinic, Cottbus, Germany
| | - Jens Karschau
- Center for Evidence-Based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, University Hospital Carl Gustav Carus Dresden, Dresden, Germany
| | - Andreas Hasselberg
- Center for Evidence-Based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, University Hospital Carl Gustav Carus Dresden, Dresden, Germany
| | - Veronika Bierbaum
- Center for Evidence-Based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, University Hospital Carl Gustav Carus Dresden, Dresden, Germany
| | - Toni Lange
- Center for Evidence-Based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, University Hospital Carl Gustav Carus Dresden, Dresden, Germany
| | - Katja Polotzek
- Center 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 Held
- Clinic and Polyclinic for Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus Dresden, Dresden, Germany
| | | | - Jochen Schmitt
- Center for Evidence-Based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, University Hospital Carl Gustav Carus Dresden, Dresden, Germany
| | - Martin Sedlmayr
- Institute for Medical Informatics and Biometry, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany
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