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A Quality Improvement Study Designed to Optimize Scheduling Geographic/Site Preferences Among Anesthesia Professionals Utilizing Decision Support Tool Assistance

This is a quality improvement pilot study comparing percentages of anesthesia professionals receiving their first choice of workplace location both pre-, and post-implementation of an electronic decision support tool for anesthesia-in-charge schedulers. The study evaluates anesthesia professionals w...

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Detalles Bibliográficos
Autores principales: Deshur, Mark A., Ben-Isvy, Noah, Wang, Chi, Minhaj, Mohammed, Greenberg, Steven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10126544/
https://www.ncbi.nlm.nih.gov/pubmed/37097379
http://dx.doi.org/10.1007/s10916-023-01946-z
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author Deshur, Mark A.
Ben-Isvy, Noah
Wang, Chi
Minhaj, Mohammed
Greenberg, Steven
author_facet Deshur, Mark A.
Ben-Isvy, Noah
Wang, Chi
Minhaj, Mohammed
Greenberg, Steven
author_sort Deshur, Mark A.
collection PubMed
description This is a quality improvement pilot study comparing percentages of anesthesia professionals receiving their first choice of workplace location both pre-, and post-implementation of an electronic decision support tool for anesthesia-in-charge schedulers. The study evaluates anesthesia professionals who use the electronic decision support tool and scheduling system at four hospitals and two surgical centers within NorthShore University HealthSystem. The subjects in the study are those anesthesia professionals that work at NorthShore University HealthSystem and are subject to being placed in their desired location by anesthesia schedulers who use the electronic decision support tool. The primary author developed the current software system enabling the electronic decision support tool implementation into clinical practice. All anesthesia-in-charge schedulers were educated during a three-week time period via administrative discussions and demonstrations on how to effectively operate the tool in real time. The total numbers and percentage of 1st choice of location selection by anesthesia professionals were summarized each week using interrupted time series Poisson regression. Slope before intervention, slope after intervention, level change, and slope change were all measured over 14-week pre- and post- implementation periods. The level of change (difference in percentage of anesthesia professionals who received their first choice) was statistically (P<0.0001) and clinically significant when comparing the historical cohorts of 2020 and 2021 to the 2022 intervention group weeks. Therefore, the implementation of an electronic decision support scheduling tool resulted in a statistically significant increase in those anesthesia professionals receiving their first-choice workplace location. This study provides the basis for further investigating whether this specific tool may improve anesthesia professional satisfaction within their work-life balance by enhancing workplace geographic/site choice.
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spelling pubmed-101265442023-04-27 A Quality Improvement Study Designed to Optimize Scheduling Geographic/Site Preferences Among Anesthesia Professionals Utilizing Decision Support Tool Assistance Deshur, Mark A. Ben-Isvy, Noah Wang, Chi Minhaj, Mohammed Greenberg, Steven J Med Syst Original Paper This is a quality improvement pilot study comparing percentages of anesthesia professionals receiving their first choice of workplace location both pre-, and post-implementation of an electronic decision support tool for anesthesia-in-charge schedulers. The study evaluates anesthesia professionals who use the electronic decision support tool and scheduling system at four hospitals and two surgical centers within NorthShore University HealthSystem. The subjects in the study are those anesthesia professionals that work at NorthShore University HealthSystem and are subject to being placed in their desired location by anesthesia schedulers who use the electronic decision support tool. The primary author developed the current software system enabling the electronic decision support tool implementation into clinical practice. All anesthesia-in-charge schedulers were educated during a three-week time period via administrative discussions and demonstrations on how to effectively operate the tool in real time. The total numbers and percentage of 1st choice of location selection by anesthesia professionals were summarized each week using interrupted time series Poisson regression. Slope before intervention, slope after intervention, level change, and slope change were all measured over 14-week pre- and post- implementation periods. The level of change (difference in percentage of anesthesia professionals who received their first choice) was statistically (P<0.0001) and clinically significant when comparing the historical cohorts of 2020 and 2021 to the 2022 intervention group weeks. Therefore, the implementation of an electronic decision support scheduling tool resulted in a statistically significant increase in those anesthesia professionals receiving their first-choice workplace location. This study provides the basis for further investigating whether this specific tool may improve anesthesia professional satisfaction within their work-life balance by enhancing workplace geographic/site choice. Springer US 2023-04-25 2023 /pmc/articles/PMC10126544/ /pubmed/37097379 http://dx.doi.org/10.1007/s10916-023-01946-z Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Paper
Deshur, Mark A.
Ben-Isvy, Noah
Wang, Chi
Minhaj, Mohammed
Greenberg, Steven
A Quality Improvement Study Designed to Optimize Scheduling Geographic/Site Preferences Among Anesthesia Professionals Utilizing Decision Support Tool Assistance
title A Quality Improvement Study Designed to Optimize Scheduling Geographic/Site Preferences Among Anesthesia Professionals Utilizing Decision Support Tool Assistance
title_full A Quality Improvement Study Designed to Optimize Scheduling Geographic/Site Preferences Among Anesthesia Professionals Utilizing Decision Support Tool Assistance
title_fullStr A Quality Improvement Study Designed to Optimize Scheduling Geographic/Site Preferences Among Anesthesia Professionals Utilizing Decision Support Tool Assistance
title_full_unstemmed A Quality Improvement Study Designed to Optimize Scheduling Geographic/Site Preferences Among Anesthesia Professionals Utilizing Decision Support Tool Assistance
title_short A Quality Improvement Study Designed to Optimize Scheduling Geographic/Site Preferences Among Anesthesia Professionals Utilizing Decision Support Tool Assistance
title_sort quality improvement study designed to optimize scheduling geographic/site preferences among anesthesia professionals utilizing decision support tool assistance
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10126544/
https://www.ncbi.nlm.nih.gov/pubmed/37097379
http://dx.doi.org/10.1007/s10916-023-01946-z
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