Literature DB >> 36194461

Appropriateness of Alerts and Physicians' Responses With a Medication-Related Clinical Decision Support System: Retrospective Observational Study.

Hyunjung Park1, Won Chul Cha1,2,3, Minjung Kathy Chae1, Woohyeon Jeong1, Jaeyong Yu1, Weon Jung1, Hansol Chang1,2.   

Abstract

BACKGROUND: Alert fatigue is unavoidable when many irrelevant alerts are generated in response to a small number of useful alerts. It is necessary to increase the effectiveness of the clinical decision support system (CDSS) by understanding physicians' responses.
OBJECTIVE: This study aimed to understand the CDSS and physicians' behavior by evaluating the clinical appropriateness of alerts and the corresponding physicians' responses in a medication-related passive alert system.
METHODS: Data on medication-related orders, alerts, and patients' electronic medical records were analyzed. The analyzed data were generated between August 2019 and June 2020 while the patient was in the emergency department. We evaluated the appropriateness of alerts and physicians' responses for a subset of 382 alert cases and classified them.
RESULTS: Of the 382 alert cases, only 7.3% (n=28) of the alerts were clinically appropriate. Regarding the appropriateness of the physicians' responses about the alerts, 92.4% (n=353) were deemed appropriate. In the classification of alerts, only 3.4% (n=13) of alerts were successfully triggered, and 2.1% (n=8) were inappropriate in both alert clinical relevance and physician's response. In this study, the override rate was 92.9% (n=355).
CONCLUSIONS: We evaluated the appropriateness of alerts and physicians' responses through a detailed medical record review of the medication-related passive alert system. An excessive number of unnecessary alerts are generated, because the algorithm operates as a rule base without reflecting the individual condition of the patient. It is important to maximize the value of the CDSS by comprehending physicians' responses. ©Hyunjung Park, Minjung Kathy Chae, Woohyeon Jeong, Jaeyong Yu, Weon Jung, Hansol Chang, Won Chul Cha. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 04.10.2022.

Entities:  

Keywords:  alert fatigue; alert system; clinical decision support system; computerized physician order entry; decision-making support; health personnel; physician behavior; physician response

Year:  2022        PMID: 36194461      PMCID: PMC9579928          DOI: 10.2196/40511

Source DB:  PubMed          Journal:  JMIR Med Inform


  35 in total

1.  Unintended effects of a computerized physician order entry nearly hard-stop alert to prevent a drug interaction: a randomized controlled trial.

Authors:  Brian L Strom; Rita Schinnar; Faten Aberra; Warren Bilker; Sean Hennessy; Charles E Leonard; Eric Pifer
Journal:  Arch Intern Med       Date:  2010-09-27

Review 2.  Medication-related clinical decision support in computerized provider order entry systems: a review.

Authors:  Gilad J Kuperman; Anne Bobb; Thomas H Payne; Anthony J Avery; Tejal K Gandhi; Gerard Burns; David C Classen; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2006-10-26       Impact factor: 4.497

3.  Adverse events following an emergency department visit.

Authors:  Alan J Forster; Nicholas G W Rose; Carl van Walraven; Ian Stiell
Journal:  Qual Saf Health Care       Date:  2007-02

4.  Outlier-based detection of unusual patient-management actions: An ICU study.

Authors:  Milos Hauskrecht; Iyad Batal; Charmgil Hong; Quang Nguyen; Gregory F Cooper; Shyam Visweswaran; Gilles Clermont
Journal:  J Biomed Inform       Date:  2016-10-05       Impact factor: 6.317

5.  Appropriateness of commercially available and partially customized medication dosing alerts among pediatric patients.

Authors:  Jeremy S Stultz; Milap C Nahata
Journal:  J Am Med Inform Assoc       Date:  2013-06-27       Impact factor: 4.497

6.  The Korean Triage and Acuity Scale: associations with admission, disposition, mortality and length of stay in the emergency department.

Authors:  Hyuksool Kwon; Yu Jin Kim; You Hwan Jo; Jae Hyuk Lee; Jin Hee Lee; Joonghee Kim; Ji Eun Hwang; Joo Jeong; Yoo Jin Choi
Journal:  Int J Qual Health Care       Date:  2019-07-01       Impact factor: 2.038

7.  Understanding physicians' behavior toward alerts about nephrotoxic medications in outpatients: a cross-sectional analysis.

Authors:  Insook Cho; Sarah P Slight; Karen C Nanji; Diane L Seger; Nivethietha Maniam; Patricia C Dykes; David W Bates
Journal:  BMC Nephrol       Date:  2014-12-15       Impact factor: 2.388

Review 8.  Reasons For Physicians Not Adopting Clinical Decision Support Systems: Critical Analysis.

Authors:  Saif Khairat; David Marc; William Crosby; Ali Al Sanousi
Journal:  JMIR Med Inform       Date:  2018-04-18

9.  Structured override reasons for drug-drug interaction alerts in electronic health records.

Authors:  Adam Wright; Dustin S McEvoy; Skye Aaron; Allison B McCoy; Mary G Amato; Hyun Kim; Angela Ai; James J Cimino; Bimal R Desai; Robert El-Kareh; William Galanter; Christopher A Longhurst; Sameer Malhotra; Ryan P Radecki; Lipika Samal; Richard Schreiber; Eric Shelov; Anwar Mohammad Sirajuddin; Dean F Sittig
Journal:  J Am Med Inform Assoc       Date:  2019-10-01       Impact factor: 4.497

10.  Temporal Change in Alert Override Rate with a Minimally Interruptive Clinical Decision Support on a Next-Generation Electronic Medical Record.

Authors:  Won Chul Cha; Weon Jung; Jaeyong Yu; Junsang Yoo; Jinwook Choi
Journal:  Medicina (Kaunas)       Date:  2020-11-30       Impact factor: 2.430

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