Literature DB >> 28444383

Optimizing drug-dose alerts using commercial software throughout an integrated health care system.

Salim M Saiyed1,2,3, Peter J Greco4,5,6, Glenn Fernandes7, David C Kaelber4,5,6,8,9.   

Abstract

All default electronic health record and drug reference database vendor drug-dose alerting recommendations (single dose, daily dose, dose frequency, and dose duration) were silently turned on in inpatient, outpatient, and emergency department areas for pediatric-only and nonpediatric-only populations. Drug-dose alerts were evaluated during a 3-month period. Drug-dose alerts fired on 12% of orders (104 098/834 911). System-level and drug-specific strategies to decrease drug-dose alerts were analyzed. System-level strategies included: (1) turning off all minimum drug-dosing alerts, (2) turning off all incomplete information drug-dosing alerts, (3) increasing the maximum single-dose drug-dose alert threshold to 125%, (4) increasing the daily dose maximum drug-dose alert threshold to 125%, and (5) increasing the dose frequency drug-dose alert threshold to more than 2 doses per day above initial threshold. Drug-specific strategies included changing drug-specific maximum single and maximum daily drug-dose alerting parameters for the top 22 drug categories by alert frequency. System-level approaches decreased alerting to 5% (46 988/834 911) and drug-specific approaches decreased alerts to 3% (25 455/834 911). Drug-dose alerts varied between care settings and patient populations.
© The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  EHR; clinical decision support; drug-dose alerts; optimizing

Mesh:

Year:  2017        PMID: 28444383     DOI: 10.1093/jamia/ocx031

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  3 in total

1.  Differences, Opportunities, and Strategies in Drug Alert Optimization-Experiences of Two Different Integrated Health Care Systems.

Authors:  Salim M Saiyed; Katherine R Davis; David C Kaelber
Journal:  Appl Clin Inform       Date:  2019-10-16       Impact factor: 2.342

2.  Reducing Alert Burden in Electronic Health Records: State of the Art Recommendations from Four Health Systems.

Authors:  John D McGreevey; Colleen P Mallozzi; Randa M Perkins; Eric Shelov; Richard Schreiber
Journal:  Appl Clin Inform       Date:  2020-01-01       Impact factor: 2.342

Review 3.  Reducing Alert Fatigue by Sharing Low-Level Alerts With Patients and Enhancing Collaborative Decision Making Using Blockchain Technology: Scoping Review and Proposed Framework (MedAlert).

Authors:  Paul Kengfai Wan; Abylay Satybaldy; Lizhen Huang; Halvor Holtskog; Mariusz Nowostawski
Journal:  J Med Internet Res       Date:  2020-10-28       Impact factor: 5.428

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.