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עמוד בית
Fri, 22.11.24

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November 2023
Lior Benjamin Pilas MD, Orit Gur BSc, Gidon Berger MD

Background: In the past decade, numerous new imaging and laboratory tests have been implemented that significantly contribute to improved medical diagnostic capabilities. However, inappropriate utilization, which occurs on a large scale, has significant ramifications for both patient care and health systems.

Objectives: To assess the impact of a novel clinical decision support system (CDSS) applied to our electronic medical records on abdominal ultrasonography utilization pattern.

Methods: We conducted a retrospective cohort study comparing patterns of abdominal ultrasound utilization in cases of liver enzyme elevation, with and without CDSS, between February and May in 2017 (before CDSS implementation) and during the same months in 2018 (after CDSS implementation). The following parameters were collected: number of tests ordered according to the guidelines, tests with a diagnostic value, and order forms completed with any data or a diagnostic question. The comparison was conducted using chi-square test.

Results: Of 152 abdominal ultrasound tests, 72 were ordered in the pre-implementation period and 80 in the post-implementation period. The system failed to reach statistical significance regarding the rates of ordered tests according to the guidelines and/or tests with a diagnostic value. However, the use of the CDSS had a statistically significant impact regarding completing the order form with data, including a specific diagnostic question.

Conclusions: The effect of the system on the efficiency of test utilization was partial. However, our findings strongly suggested that CDSS has the potential to promote proper usage of complementary technologies.

May 2014
Yael Zenziper BPharm, Daniel Kurnik MD, Noa Markovits MD, Amitai Ziv MD MHA, Ari Shamiss MD MPA, Hillel Halkin MD and Ronen Loebstein MD

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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