Literature DB >> 24979833

Implementation of a clinical decision support system for computerized drug prescription entries in a large tertiary care hospital.

Yael Zenziper, Daniel Kurnik, Noa Markovits, Amitai Ziv, Ari Shamiss, Hillel Halkin, Ronen Loebstein.   

Abstract

BACKGROUND: Prescription errors are common in hospitalized patients and result in significant morbidity, mortality and costs. Electronic prescriptions with computerized physician order entry systems (CPOE) and integrated computerized decision support systems (CDSS providing online alerts) reduce prescription errors by approximately 50%. However, the introduction of CDSS is often met by opposition due to the flood of alerts, and most prescribers eventually ignore even crucial alerts ("alert fatigue").
OBJECTIVES: To describe the implementation and customization of a commercial CDSS (SafeRx) for electronic prescribing in Internal Medicine departments at a tertiary care center, with the purpose of improving comprehensibility and substantially reducing the number of alerts to minimize alert fatigue.
METHODS: A multidisciplinary expert committee was authorized by the hospital administration to customize the CDSS according to the needs of six internal medicine departments at Sheba Medical Center. We assessed volume of prescriptions and alert types during the period February-August 2012 using the statistical functions provided by the CDSS.
RESULTS: A mean of 339 +/- 13 patients per month per department received 11.2 +/- 0.5 prescriptions per patient, 30.1% of which triggered one or more CDSS alerts, most commonly drug-drug interactions (43.2%) and dosing alerts (38.3%). The review committee silenced or modified 3981 alerts, enhancing comprehensibility, and providing dosing instructions adjusted to the patient's renal function and recommendations for follow-up.
CONCLUSIONS: The large volume of drug prescriptions in internal medicine departments is associated with a significant rate of potential prescription errors. To ensure its effectiveness and minimize alert fatigue, continuous customization of the CDSS to the specific needs of particular departments is required.

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Year:  2014        PMID: 24979833

Source DB:  PubMed          Journal:  Isr Med Assoc J            Impact factor:   0.892


  4 in total

1.  The Future CPOE Workflow: Augmenting Clinical Decision Support With Pharmacist Expertise.

Authors:  John A Dougherty; Mark Bonfiglio
Journal:  Hosp Pharm       Date:  2018-08-03

2.  Optimizing clinical decision support alerts in electronic medical records: a systematic review of reported strategies adopted by hospitals.

Authors:  Bethany A Van Dort; Wu Yi Zheng; Vivek Sundar; Melissa T Baysari
Journal:  J Am Med Inform Assoc       Date:  2021-01-15       Impact factor: 4.497

3.  Avoiding Polypsychopharmacy.

Authors:  Rainer Burkhardt
Journal:  Dtsch Arztebl Int       Date:  2020-01-17       Impact factor: 5.594

4.  Retrospective descriptive assessment of clinical decision support medication-related alerts in two Saudi Arabian hospitals.

Authors:  Jamilah Ahmed Alsaidan; Jane Portlock; Sondus I Ata; Hisham S Aljadhey; Bryony Dean Franklin
Journal:  BMC Med Inform Decis Mak       Date:  2022-04-15       Impact factor: 2.796

  4 in total

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