Effect of knowledgebase transition of a clinical decision support system on medication order and alert patterns in an emergency department

被引:0
|
作者
Weon Jung
Jaeyong Yu
Hyunjung Park
Minjung Kathy Chae
Sang Seob Lee
Jong Soo Choi
Mira Kang
Dong Kyung Chang
Won Chul Cha
机构
[1] Sungkyunkwan University,Department of Digital Health, Samsung Advanced Institute of Health Sciences and Technology (SAIHST)
[2] Samsung Medical Center,Digital Innovation Center
[3] Samsung Medical Center,Center for Health Promotion
[4] Sungkyunkwan University School of Medicine,Department of Gastroenterology
[5] Samsung Medical Center,Department of Emergency Medicine
[6] Sungkyunkwan University School of Medicine,undefined
[7] Samsung Medical Center,undefined
[8] Sungkyunkwan University School of Medicine,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
A knowledgebase (KB) transition of a clinical decision support (CDS) system occurred at the study site. The transition was made from one commercial database to another, provided by a different vendor. The change was applied to all medications in the institute. The aim of this study was to analyze the effect of KB transition on medication-related orders and alert patterns in an emergency department (ED). Data of patients, medication-related orders and alerts, and physicians in the ED from January 2018 to December 2020 were analyzed in this study. A set of definitions was set to define orders, alerts, and alert overrides. Changes in order and alert patterns before and after the conversion, which took place in May 2019, were assessed. Overall, 101,450 patients visited the ED, and 1325 physicians made 829,474 prescription orders to patients during visit and at discharge. Alert rates (alert count divided by order count) for periods A and B were 12.6% and 14.1%, and override rates (alert override count divided by alert count) were 60.8% and 67.4%, respectively. Of the 296 drugs that were used more than 100 times during each period, 64.5% of the drugs had an increase in alert rate after the transition. Changes in alert rates were tested using chi-squared test and Fisher’s exact test. We found that the CDS system knowledgebase transition was associated with a significant change in alert patterns at the medication level in the ED. Careful consideration is advised when such a transition is performed.
引用
收藏
相关论文
共 50 条
  • [41] An Empirical Study of Information Visualization for Decision Support in an Emergency Department Information System
    Jekins-Penha, Quaneisha
    Jiang, Steven
    ADVANCES IN HUMAN FACTORS AND ERGONOMICS IN HEALTHCARE AND MEDICAL DEVICES, 2020, 957 : 134 - 144
  • [42] Evaluation of a Diagnostic Decision Support System for the Triage of Patients in a Hospital Emergency Department
    Nazario Arancibia, J. C.
    Martin Sanchez, F. J.
    Del Rey Mejias, A. L.
    del Castillo, J. Gonzalez
    Chafer Vilaplana, J.
    Garcia Brinon, M. A.
    Suarez-Cadenas, M. M.
    Mayol Martinez, J.
    Seara Aguilar, G.
    INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE, 2019, 5 (04): : 60 - 67
  • [43] System outcomes associated with a pediatric emergency department clinical decision unit
    Karacabeyli, Derin
    Meckler, Garth D.
    Park, David K.
    Quynh Doan
    CANADIAN JOURNAL OF EMERGENCY MEDICINE, 2019, 21 (02) : 195 - 198
  • [44] Integrated System for Clinical Decision Support in Emergency Stroke Care
    Przelaskowski, Artur
    Sobieszczuk, Ewa
    Jozwiak, Rafal
    Zycka-Malesa, Dominika
    Mykhalevych, Ihor
    Sklinda, Katarzyna
    Sobkowicz, Antoni
    INFORMATION TECHNOLOGIES IN MEDICINE, ITIB 2016, VOL 1, 2016, 471 : 457 - 473
  • [45] Development of a machine learning-based clinical decision support system to predict clinical deterioration in patients visiting the emergency department
    Choi, Arom
    Choi, So Yeon
    Chung, Kyungsoo
    Chung, Hyun Soo
    Song, Taeyoung
    Choi, Byunghun
    Kim, Ji Hoon
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [46] Development of a machine learning-based clinical decision support system to predict clinical deterioration in patients visiting the emergency department
    Arom Choi
    So Yeon Choi
    Kyungsoo Chung
    Hyun Soo Chung
    Taeyoung Song
    Byunghun Choi
    Ji Hoon Kim
    Scientific Reports, 13
  • [47] The Effect of Point of Care Testing on Clinical Decision Making in an Emergency Department
    Illahi, Memon N.
    Lapworth, Ruth
    Bates, Philip
    JOURNAL OF THE LIAQUAT UNIVERSITY OF MEDICAL AND HEALTH SCIENCES, 2012, 11 (03): : 153 - 157
  • [48] Benefit of medication reviews by renal pharmacists in the setting of a computerized physician order entry system with clinical decision support
    Seiberth, Sarah
    Mannell, Hanna
    Birkenmaier, Christof
    Neuerburg, Carl
    Smolka, Vera
    Andraschko, Monika
    Strobach, Dorothea
    JOURNAL OF CLINICAL PHARMACY AND THERAPEUTICS, 2022, 47 (10) : 1531 - 1538
  • [49] Interprofessional Evaluation of a Medication Clinical Decision Support System Prior to Implementation
    Bauer, Jacqueline
    Busse, Marika
    Kopetzky, Tanja
    Seggewies, Christof
    Fromm, Martin F.
    Doerje, Frank
    APPLIED CLINICAL INFORMATICS, 2024, 15 (03): : 637 - 649
  • [50] Development and Evaluation of a Clinical Decision Support System to Improve Medication Safety
    Ibanez-Garcia, Sara
    Rodriguez-Gonzalez, Carmen
    Escudero-Vilaplana, Vicente
    Luisa Martin-Barbero, Maria
    Marzal-Alfaro, Belen
    Luis De la Rosa-Trivino, Jose
    Iglesias-Peinado, Irene
    Herranz-Alonso, Ana
    Sanjurjo Saez, Maria
    APPLIED CLINICAL INFORMATICS, 2019, 10 (03): : 513 - 520