Literature DB >> 25596604

Development of an inpatient operational pharmacy productivity model.

Ryan W Naseman1, Ben R Lopez2, Ryan A Forrey2, Robert J Weber2, Kris M Kipp2.   

Abstract

PURPOSE: An innovative model for measuring the operational productivity of medication order management in inpatient settings is described.
METHODS: Order verification within a computerized prescriber order-entry system was chosen as the pharmacy workload driver. To account for inherent variability in the tasks involved in processing different types of orders, pharmaceutical products were grouped by class, and each class was assigned a time standard, or "medication complexity weight" reflecting the intensity of pharmacist and technician activities (verification of drug indication, verification of appropriate dosing, adverse-event prevention and monitoring, medication preparation, product checking, product delivery, returns processing, nurse/provider education, and problem-order resolution). The resulting "weighted verifications" (WV) model allows productivity monitoring by job function (pharmacist versus technician) to guide hiring and staffing decisions. A 9-month historical sample of verified medication orders was analyzed using the WV model, and the calculations were compared with values derived from two established models—one based on the Case Mix Index (CMI) and the other based on the proprietary Pharmacy Intensity Score (PIS).
RESULTS: Evaluation of Pearson correlation coefficients indicated that values calculated using the WV model were highly correlated with those derived from the CMI-and PIS-based models (r = 0.845 and 0.886, respectively). Relative to the comparator models, the WV model offered the advantage of less period-to-period variability.
CONCLUSION: The WV model yielded productivity data that correlated closely with values calculated using two validated workload management models. The model may be used as an alternative measure of pharmacy operational productivity.
Copyright © 2015 by the American Society of Health-System Pharmacists, Inc. All rights reserved.

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Mesh:

Year:  2015        PMID: 25596604     DOI: 10.2146/ajhp130803

Source DB:  PubMed          Journal:  Am J Health Syst Pharm        ISSN: 1079-2082            Impact factor:   2.637


  2 in total

1.  Formation and validation of an acute care clinical pharmacist productivity model: Part 2.

Authors:  Adrienne Simmons; Tyler A Vest; Jonathan Cicci; Megan Clarke; Kathryn A Morbitzer; John M Valgus; Chris Falato; Evan W Colmenares; Mary-Haston Vest; Kayla M Waldron
Journal:  Am J Health Syst Pharm       Date:  2021-07-22       Impact factor: 2.637

2.  Development of Machine Learning Models to Validate a Medication Regimen Complexity Scoring Tool for Critically Ill Patients.

Authors:  Mohammad A Al-Mamun; Todd Brothers; Andrea Sikora Newsome
Journal:  Ann Pharmacother       Date:  2020-09-15       Impact factor: 3.154

  2 in total

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