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
  • [1] Effect of knowledgebase transition of a clinical decision support system on medication order and alert patterns in an emergency department
    Jung, Weon
    Yu, Jaeyong
    Park, Hyunjung
    Chae, Minjung Kathy
    Lee, Sang Seob
    Choi, Jong Soo
    Kang, Mira
    Chang, Dong Kyung
    Cha, Won Chul
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [2] Alert Override Patterns With a Medication Clinical Decision Support System in an Academic Emergency Department: Retrospective Descriptive Study
    Yoo, Junsang
    Lee, Jeonghoon
    Rhee, Poong-Lyul
    Chang, Dong Kyung
    Kang, Mira
    Choi, Jong Soo
    Bates, David W.
    Cha, Won Chul
    JMIR MEDICAL INFORMATICS, 2020, 8 (11)
  • [3] Impact of Predictive Text Clinical Decision Support on Imaging Order Entry in the Emergency Department
    Mattay, Govind S.
    Griffey, Richard T.
    Narra, Vamsi
    Poirier, Robert F.
    Bierhals, Andrew
    JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY, 2023, 20 (12) : 1250 - 1257
  • [4] Effect of Computerized Physician Order Entry and Clinical Decision Support System on Adverse Drug Events Prevention in the Emergency Department: A Systematic Review
    Hajesmaeel Gohari, Sadrieh
    Bahaadinbeigy, Kambiz
    Tajoddini, Shahrad
    R. Niakan Kalhori, Sharareh
    JOURNAL OF PHARMACY TECHNOLOGY, 2021, 37 (01) : 53 - 61
  • [5] Medication-related clinical decision support alert overrides in inpatients
    Nanji, Karen C.
    Seger, Diane L.
    Slight, Sarah P.
    Amato, Mary G.
    Beeler, Patrick E.
    Her, Qoua L.
    Dalleur, Olivia
    Eguale, Tewodros
    Wong, Adrian
    Silvers, Elizabeth R.
    Swerdloff, Michael
    Hussain, Salman T.
    Maniam, Nivethietha
    Fiskio, Julie M.
    Dykes, Patricia C.
    WBates, David
    JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2018, 25 (05) : 476 - 481
  • [6] Clinical Decision Support for Antibiotic Stewardship in the Emergency Department
    May, L.
    Morgan, B.
    Matsumoto, C.
    ANNALS OF EMERGENCY MEDICINE, 2022, 80 (04) : S100 - S100
  • [7] THE EFFECT OF A CLINICAL DECISION SUPPORT FOR PENDING LABORATORY RESULTS AT EMERGENCY DEPARTMENT DISCHARGE
    Driver, Brian E.
    Scharber, Sarah K.
    Fagerstrom, Erik T.
    Klein, Lauren R.
    Cole, Jon B.
    Dhaliwal, Ramnik S.
    JOURNAL OF EMERGENCY MEDICINE, 2019, 56 (01): : 109 - 113
  • [8] The effect of medication related clinical decision support at the time of physician order entry
    Matthijs L. Becker
    Fatih Baypinar
    Marieke Pereboom
    Soufiane Lilih
    Ruud T. M. van der Hoeven
    Thijs J. Giezen
    Hylke Jan Kingma
    International Journal of Clinical Pharmacy, 2021, 43 : 137 - 143
  • [9] The effect of medication related clinical decision support at the time of physician order entry
    Becker, Matthijs L.
    Baypinar, Fatih
    Pereboom, Marieke
    Lilih, Soufiane
    van der Hoeven, Ruud T. M.
    Giezen, Thijs J.
    Kingma, Hylke Jan
    INTERNATIONAL JOURNAL OF CLINICAL PHARMACY, 2021, 43 (01) : 137 - 143
  • [10] EFFICACY OF A SEPSIS CLINICAL DECISION SUPPORT SYSTEM IN IDENTIFYING PATIENTS WITH SEPSIS IN THE EMERGENCY DEPARTMENT
    Hou, Yueh-Tseng
    Wu, Meng-Yu
    Chen, Yu-Long
    Liu, Tzu-Hung
    Cheng, Ruei-Ting
    Hsu, Pei-Lan
    Chao, An-Kuo
    Huang, Ching-Chieh
    Cheng, Fei-Wen
    Lai, Po-Lin
    Wu, I-Feng
    Yiang, Giou-Teng
    SHOCK, 2024, 62 (04): : 480 - 487