Literature DB >> 35235647

Development of a system-wide pharmacy operational weighted workload model at a large academic health system.

Autumn E Petersen1, Jacqueline M Zeeman2, Mary-Haston Vest3, Daniel H Schenkat4, Evan W Colmenares5.   

Abstract

PURPOSE: The purpose of this study is to develop a standard operational and distributional weighted workload model that is applicable across an integrated, diverse healthcare system. This model aims to not only demonstrate the operational intensity of pharmacy practice but also to inform opportunities to decrease waste, increase efficiency, facilitate growth, and demonstrate value across operational and distributional pharmacy services.
SUMMARY: Time studies were conducted at 8 hospitals within the UNC Health system to objectively measure time spent within each operational process in order to create a system-wide weighted workload model. Time study results informed the development of a system-wide weighted workload model. Data from December 29, 2019, through December 26, 2020, was then applied to this weighted workload model. With this model, acute care hospital and infusion center operational areas were compared in thousands of combinations within single operational areas and across any and all operational areas by dispense code, weighted work, and ratio of weighted work to total sum of dispenses at each site.
CONCLUSION: The model successfully achieved the objective to develop a standard operational weighted workload model that is applicable across the integrated, diverse care system. This model provides a foundation for UNC Health to further productivity measurement and fills a gap in the literature by offering a novel method of developing a system-level operational workload model that can be used to evaluate and compare operational workloads across health-system sites. © American Society of Health-System Pharmacists 2022. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  operational workload; pharmacy operations; pharmacy productivity; pharmacy workload; productivity model; weighted workload model

Mesh:

Year:  2022        PMID: 35235647      PMCID: PMC9218779          DOI: 10.1093/ajhp/zxac071

Source DB:  PubMed          Journal:  Am J Health Syst Pharm        ISSN: 1079-2082            Impact factor:   2.980


  7 in total

Review 1.  Research guidelines for the Delphi survey technique.

Authors:  F Hasson; S Keeney; H McKenna
Journal:  J Adv Nurs       Date:  2000-10       Impact factor: 3.187

Review 2.  The Delphi technique: myths and realities.

Authors:  Catherine Powell
Journal:  J Adv Nurs       Date:  2003-02       Impact factor: 3.187

3.  Effective use of workload and productivity monitoring tools in health-system pharmacy, part 2.

Authors:  Steve S Rough; Michael McDaniel; James R Rinehart
Journal:  Am J Health Syst Pharm       Date:  2010-03-01       Impact factor: 2.637

4.  Effective use of workload and productivity monitoring tools in health-system pharmacy, part 1.

Authors:  Steve S Rough; Michael McDaniel; James R Rinehart
Journal:  Am J Health Syst Pharm       Date:  2010-02-15       Impact factor: 2.637

5.  Development of an operational productivity tool within a cancer treatment center pharmacy.

Authors:  Thomas S Achey; Allison R Riffle; Robert M Rose; Marc Earl
Journal:  Am J Health Syst Pharm       Date:  2018-10-03       Impact factor: 2.637

6.  Consensus methods: characteristics and guidelines for use.

Authors:  A Fink; J Kosecoff; M Chassin; R H Brook
Journal:  Am J Public Health       Date:  1984-09       Impact factor: 9.308

7.  Identifying health-system pharmacy operational process categories and corresponding tasks across a diverse health system using a modified Delphi process.

Authors:  Jacqueline M Zeeman; Autumn E Petersen; Evan W Colmenares; Daniel H Schenkat; Mary-Haston Vest
Journal:  Am J Health Syst Pharm       Date:  2022-06-23       Impact factor: 2.637

  7 in total

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