Charlotte Forshay, John Mellett, Chan Truong, Julie Kennerly-Shah, Trisha A Jordan, Amanda Hafford
{"title":"重建临床和操作急症护理药剂师生产力模型:利用学术医疗中心的电子健康记录数据和分析。","authors":"Charlotte Forshay, John Mellett, Chan Truong, Julie Kennerly-Shah, Trisha A Jordan, Amanda Hafford","doi":"10.1093/ajhp/zxae408","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Acute care pharmacy practice continues to evolve, and useful pharmacist productivity models should reflect contemporary practice. The purpose of this project was to rebuild an acute care pharmacist productivity model to accurately capture and categorize the variable workload of acute care generalists and specialists using electronic health record (EHR) data reports and analytic capabilities.</p><p><strong>Summary: </strong>The acute care pharmacist productivity model was rebuilt with 5 variable workload drivers, including order verification, medication preparation verification (product check), clinical scoring, pharmacist-documented progress notes, and pharmacy intensity score-weighted patient admissions and patient days. Reports from the EHR database were used to capture all workload drivers. For each variable workload driver, more granular categories included in the reports were assigned time standards based on the work's complexity. Work output data, represented as units of service, were mapped by the user's job title (ie, generalist or specialist) and by the inpatient department.</p><p><strong>Conclusion: </strong>The rebuilt pharmacist productivity model leverages EHR data and standard documentation of patient care activities to capture workload and reflect clinical practice. The EHR-generated reports enabled construction of a comprehensive and sustainable productivity model for acute care pharmacists without the need for additional manual documentation for productivity purposes.</p>","PeriodicalId":7577,"journal":{"name":"American Journal of Health-System Pharmacy","volume":" ","pages":"906-914"},"PeriodicalIF":2.3000,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Rebuilding the clinical and operational acute care pharmacist productivity model: Leveraging electronic health record data and analytics at an academic medical center.\",\"authors\":\"Charlotte Forshay, John Mellett, Chan Truong, Julie Kennerly-Shah, Trisha A Jordan, Amanda Hafford\",\"doi\":\"10.1093/ajhp/zxae408\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>Acute care pharmacy practice continues to evolve, and useful pharmacist productivity models should reflect contemporary practice. The purpose of this project was to rebuild an acute care pharmacist productivity model to accurately capture and categorize the variable workload of acute care generalists and specialists using electronic health record (EHR) data reports and analytic capabilities.</p><p><strong>Summary: </strong>The acute care pharmacist productivity model was rebuilt with 5 variable workload drivers, including order verification, medication preparation verification (product check), clinical scoring, pharmacist-documented progress notes, and pharmacy intensity score-weighted patient admissions and patient days. Reports from the EHR database were used to capture all workload drivers. For each variable workload driver, more granular categories included in the reports were assigned time standards based on the work's complexity. Work output data, represented as units of service, were mapped by the user's job title (ie, generalist or specialist) and by the inpatient department.</p><p><strong>Conclusion: </strong>The rebuilt pharmacist productivity model leverages EHR data and standard documentation of patient care activities to capture workload and reflect clinical practice. The EHR-generated reports enabled construction of a comprehensive and sustainable productivity model for acute care pharmacists without the need for additional manual documentation for productivity purposes.</p>\",\"PeriodicalId\":7577,\"journal\":{\"name\":\"American Journal of Health-System Pharmacy\",\"volume\":\" \",\"pages\":\"906-914\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-08-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Journal of Health-System Pharmacy\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/ajhp/zxae408\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Health-System Pharmacy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/ajhp/zxae408","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
Rebuilding the clinical and operational acute care pharmacist productivity model: Leveraging electronic health record data and analytics at an academic medical center.
Purpose: Acute care pharmacy practice continues to evolve, and useful pharmacist productivity models should reflect contemporary practice. The purpose of this project was to rebuild an acute care pharmacist productivity model to accurately capture and categorize the variable workload of acute care generalists and specialists using electronic health record (EHR) data reports and analytic capabilities.
Summary: The acute care pharmacist productivity model was rebuilt with 5 variable workload drivers, including order verification, medication preparation verification (product check), clinical scoring, pharmacist-documented progress notes, and pharmacy intensity score-weighted patient admissions and patient days. Reports from the EHR database were used to capture all workload drivers. For each variable workload driver, more granular categories included in the reports were assigned time standards based on the work's complexity. Work output data, represented as units of service, were mapped by the user's job title (ie, generalist or specialist) and by the inpatient department.
Conclusion: The rebuilt pharmacist productivity model leverages EHR data and standard documentation of patient care activities to capture workload and reflect clinical practice. The EHR-generated reports enabled construction of a comprehensive and sustainable productivity model for acute care pharmacists without the need for additional manual documentation for productivity purposes.
期刊介绍:
The American Journal of Health-System Pharmacy (AJHP) is the official publication of the American Society of Health-System Pharmacists (ASHP). It publishes peer-reviewed scientific papers on contemporary drug therapy and pharmacy practice innovations in hospitals and health systems. With a circulation of more than 43,000, AJHP is the most widely recognized and respected clinical pharmacy journal in the world.