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1.
JAMIA Open ; 7(1): ooae003, 2024 Apr.
Article in English | MEDLINE | ID: mdl-38283885

ABSTRACT

Objectives: Since the 1970s, a plethora of tools have been introduced to support the medication use process. However, automation initiatives to assist pharmacists in prospectively reviewing medication orders are lacking. The review of many medications may be protocolized and implemented in an algorithmic fashion utilizing discrete data from the electronic health record (EHR). This research serves as a proof of concept to evaluate the capability and effectiveness of an electronic prospective medication order review (EPMOR) system compared to pharmacists' review. Materials and methods: A subset of the most frequently verified medication orders were identified for inclusion. A team of clinical pharmacist experts developed best-practice EPMOR criteria. The established criteria were incorporated into conditional logic built within the EHR. Verification outcomes from the pharmacist (human) and EPMOR (automation) were compared. Results: Overall, 13 404 medication orders were included. Of those orders, 13 133 passed pharmacist review, 7388 of which passed EPMOR. A total of 271 medication orders failed pharmacist review due to order modification or discontinuation, 105 of which passed EPMOR. Of the 105 orders, 19 were duplicate orders correctly caught by both EPMOR and pharmacists, but the opposite duplicate order was rejected, 51 orders failed due to scheduling changes. Discussion: This simulation was capable of effectively discriminating and triaging orders. Protocolization and automation of the prospective medication order review process in the EHR appear possible using clinically driven algorithms. Conclusion: Further research is necessary to refine such algorithms to maximize value, improve efficiency, and minimize safety risks in preparation for the implementation of fully automated systems.

2.
Am J Health Syst Pharm ; 78(6): 498-510, 2021 03 05.
Article in English | MEDLINE | ID: mdl-33539506

ABSTRACT

PURPOSE: The high-value pharmacy enterprise (HVPE) framework and constituent best practice consensus statements are presented, and the methods used to develop the framework's 8 domains are described. SUMMARY: A panel of pharmacy leaders used an evidence- and expert opinion-based approach to define core and aspirational elements of practice that should be established within contemporary health-system pharmacy enterprises by calendar year 2025. Eight domains of an HVPE were identified: Patient Care Services; Business Services; Ambulatory and Specialty Pharmacy Services; Inpatient Operations; Safety and Quality; Pharmacy Workforce; Information Technology, Data, and Information Management; and Leadership. Phase 1 of the project consisted of the development of draft practice statements, performance elements, and supporting evidence for each domain by panelists, followed by a phase 2 in-person meeting for review and development of consensus for statements and performance elements in each domain. During phase 3, the project cochairs and panelists finalized the domain drafts and incorporated them into a full technical report and this summary report. CONCLUSION: The HVPE framework is a strategic roadmap to advance pharmacy practice by ensuring safe, effective, and patient-centered medication management and business practices throughout the health-system pharmacy enterprise. Grounded in evidence and expert recommendations, the statements and associated performance elements can be used to identify strategic priorities to improve patient outcomes and add value within health systems.


Subject(s)
Pharmacy Service, Hospital , Pharmacy , Consensus , Humans , Pharmacists , Research Report
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