Development of a system-wide pharmacy operational weighted workload model at a large academic health system
- PMID: 35235647
- PMCID: PMC9218779
- DOI: 10.1093/ajhp/zxac071
Development of a system-wide pharmacy operational weighted workload model at a large academic health system
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.
Keywords: operational workload; pharmacy operations; pharmacy productivity; pharmacy workload; productivity model; weighted workload model.
© American Society of Health-System Pharmacists 2022. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
Figures
Comment in
-
Importance of effective and accurate measurements of pharmacy workload.Am J Health Syst Pharm. 2022 Jun 23;79(13):1023-1024. doi: 10.1093/ajhp/zxac101. Am J Health Syst Pharm. 2022. PMID: 35381078 No abstract available.
References
-
- Rough SS, McDaniel M, Rinehart JR. Effective use of workload and productivity monitoring tools in health-system pharmacy, part 2. Am J Health-Syst Pharm. 2010;67(5):380-388. - PubMed
-
- Rough SS, McDaniel M, Rinehart JR. Effective use of workload and productivity monitoring tools in health-system pharmacy, part 1. Am J Health-Syst Pharm. 2010;67(4):300-311. - PubMed
-
- Achey TS, Riffle AR, Rose RM, Earl M. Development of an operational productivity tool within a cancer treatment center pharmacy. Am J Health-Syst Pharm. 2018;75(21):1736-1741. - PubMed
-
- Zeeman JM, Petersen AE, Colmenares EW, et al. . Identifying pharmacists’ operational process categories and corresponding tasks across a diverse health system using a modified Delphi process. Accepted manuscript. Am J Health-Syst Pharm. Published online March 5, 2022. https://doi.org/10.1093/ajhp/zxac072 - PubMed
-
- Delbecq AL, Van de Ven AH, Gustafson DH.. Group Techniques for Program Planning: A Guide to Nominal Group and Delphi Processes. Scott, Foresman and Co.; 1975:10, 89.
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Miscellaneous