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Automating Time-Consuming and Error-Prone Manual Nursing Management Documentation Processes
A German regulation requires nursing managers to document patient-nurse ratios. They have to combine heterogeneous hospital data from different sources. Missing documentation or ratios that are too high lead to sanctions. Automated approaches are needed to accelerate the time-consuming and error-pro...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8505160/ https://www.ncbi.nlm.nih.gov/pubmed/34225309 http://dx.doi.org/10.1097/CIN.0000000000000790 |
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author | Haas, Oliver Hutzler, Michaela Egginger, Thomas H. Maier, Andreas Rothgang, Eva |
author_facet | Haas, Oliver Hutzler, Michaela Egginger, Thomas H. Maier, Andreas Rothgang, Eva |
author_sort | Haas, Oliver |
collection | PubMed |
description | A German regulation requires nursing managers to document patient-nurse ratios. They have to combine heterogeneous hospital data from different sources. Missing documentation or ratios that are too high lead to sanctions. Automated approaches are needed to accelerate the time-consuming and error-prone documentation process. A documentation and visualization system was implemented. The system allows nursing managers to quickly and automatically create the documentation required by the regulation. Interactive visualization dashboards assist with the analysis of patient and staff numbers. The developed method was effectively used in nursing management tasks. No changes to the information technology infrastructure were needed. The new process is around 35 hours per month faster and less error-prone. The documentation functionality automatically reads the required information and correctly calculates the documentation. The visualization functionality allows nursing managers to assess the current patient-nurse ratios before the documentation is submitted. The method scales to multiple wards and locations. It calculates the sanctions to expect and is easily updatable. The proposed method is expected to decrease nursing administration workloads and facilitate the analysis of nursing management data in a cost-effective way. |
format | Online Article Text |
id | pubmed-8505160 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-85051602021-10-13 Automating Time-Consuming and Error-Prone Manual Nursing Management Documentation Processes Haas, Oliver Hutzler, Michaela Egginger, Thomas H. Maier, Andreas Rothgang, Eva Comput Inform Nurs Features A German regulation requires nursing managers to document patient-nurse ratios. They have to combine heterogeneous hospital data from different sources. Missing documentation or ratios that are too high lead to sanctions. Automated approaches are needed to accelerate the time-consuming and error-prone documentation process. A documentation and visualization system was implemented. The system allows nursing managers to quickly and automatically create the documentation required by the regulation. Interactive visualization dashboards assist with the analysis of patient and staff numbers. The developed method was effectively used in nursing management tasks. No changes to the information technology infrastructure were needed. The new process is around 35 hours per month faster and less error-prone. The documentation functionality automatically reads the required information and correctly calculates the documentation. The visualization functionality allows nursing managers to assess the current patient-nurse ratios before the documentation is submitted. The method scales to multiple wards and locations. It calculates the sanctions to expect and is easily updatable. The proposed method is expected to decrease nursing administration workloads and facilitate the analysis of nursing management data in a cost-effective way. Lippincott Williams & Wilkins 2021-07-12 /pmc/articles/PMC8505160/ /pubmed/34225309 http://dx.doi.org/10.1097/CIN.0000000000000790 Text en Copyright © 2021 The Authors. Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections. |
spellingShingle | Features Haas, Oliver Hutzler, Michaela Egginger, Thomas H. Maier, Andreas Rothgang, Eva Automating Time-Consuming and Error-Prone Manual Nursing Management Documentation Processes |
title | Automating Time-Consuming and Error-Prone Manual Nursing Management Documentation Processes |
title_full | Automating Time-Consuming and Error-Prone Manual Nursing Management Documentation Processes |
title_fullStr | Automating Time-Consuming and Error-Prone Manual Nursing Management Documentation Processes |
title_full_unstemmed | Automating Time-Consuming and Error-Prone Manual Nursing Management Documentation Processes |
title_short | Automating Time-Consuming and Error-Prone Manual Nursing Management Documentation Processes |
title_sort | automating time-consuming and error-prone manual nursing management documentation processes |
topic | Features |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8505160/ https://www.ncbi.nlm.nih.gov/pubmed/34225309 http://dx.doi.org/10.1097/CIN.0000000000000790 |
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