Real-time pharmacy surveillance and clinical decision support to reduce adverse drug events in acute kidney injury

被引:33
|
作者
McCoy, A. B. [1 ]
Cox, Z. L. [2 ,3 ]
Neal, E. B. [2 ]
Waitman, L. R. [4 ]
Peterson, N. B. [5 ]
Bhave, G. [6 ]
Siew, E. D. [6 ]
Danciu, I. [1 ]
Lewis, J. B. [6 ]
Peterson, J. F. [1 ,5 ,7 ]
机构
[1] Vanderbilt Univ, Sch Med, Dept Biomed Informat, Nashville, TN 37212 USA
[2] Vanderbilt Univ, Med Ctr, Dept Biomed Informat, Nashville, TN USA
[3] Lipscomb Univ, Coll Pharm, Nashville, TN USA
[4] Univ Kansas, Med Ctr, Dept Biostat, Kansas City, KS 66103 USA
[5] Vanderbilt Univ, Med Ctr, Dept Med, Div Gen Internal Med & Publ Hlth, Nashville, TN USA
[6] Vanderbilt Univ, Med Ctr, Dept Med, Div Nephrol, Nashville, TN USA
[7] VA Tennessee Valley Healthcare Syst, Geriatr Res Educ Clin Ctr, Nashville, TN USA
来源
APPLIED CLINICAL INFORMATICS | 2012年 / 3卷 / 02期
关键词
Clinical decision support systems; electronic health records; randomized controlled trial; medication errors; medication error prevention and control; adverse drug reaction reporting systems; PHYSICIAN ORDER ENTRY; COMPUTERIZED SURVEILLANCE; MEDICATION SAFETY; ALERTS; PREVENTABILITY; IMPACT; ERRORS; INTERVENTION; PREVENTION;
D O I
10.4338/ACI-2012-03-RA-0009
中图分类号
R-058 [];
学科分类号
摘要
Objectives: Clinical decision support (CDS), such as computerized alerts, improves prescribing in the setting of acute kidney injury (AKI), but considerable opportunity remains to improve patient safety. The authors sought to determine whether pharmacy surveillance of AKI patients could detect and prevent medication errors that are not corrected by automated interventions. Methods: The authors conducted a randomized clinical trial among 396 patients admitted to an academic, tertiary care hospital between June 1, 2010 and August 31, 2010 with an acute 0.5 mg/dl change in serum creatinine over 48 hours and a nephrotoxic or renally cleared medication order. Patients randomly assigned to the intervention group received surveillance from a clinical pharmacist using a web-based surveillance tool to monitor drug prescribing and kidney function trends. CDS alerting and standard pharmacy services were active in both study arms. Outcome measures included blinded adjudication of potential adverse drug events (pADEs), adverse drug events (ADEs) and time to provider modification or discontinuation of targeted nephrotoxic or renally cleared medications. Results: Potential ADEs or ADEs occurred for 104 (8.0%) of control and 99 (7.1%) of intervention patient-medication pairs (p=0.4). Additionally, the time to provider modification or discontinuation of targeted nephrotoxic or renally cleared medications did not differ between control and intervention patients (33.4 hrs vs. 30.3hrs, p=0.3). Conclusions: Pharmacy surveillance had no incremental benefit over previously implemented CDS alerts
引用
收藏
页码:221 / 238
页数:18
相关论文
共 50 条
  • [31] Longer time to recovery from acute kidney injury is associated with major adverse kidney events in patients with cirrhosis
    Patidar, Kavish R. R.
    Naved, Mobasshir A. A.
    Kabir, Shaowli
    Grama, Ananth
    Allegretti, Andrew S. S.
    Cullaro, Giuseppe
    Asrani, Sumeet K. K.
    Worden, Astin
    Desai, Archita P. P.
    Ghabril, Marwan S. S.
    Nephew, Lauren D. D.
    Orman, Eric S. S.
    ALIMENTARY PHARMACOLOGY & THERAPEUTICS, 2023, 57 (12) : 1397 - 1406
  • [32] Data Challenges With Real-Time Safety Event Detection And Clinical Decision Support
    Kirkendall, Eric Steven
    Ni, Yizhao
    Lingren, Todd
    Leonard, Matthew
    Hall, Eric S.
    Melton, Kristin
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2019, 21 (05)
  • [33] MySurgeryRisk and Machine Learning A Promising Start to Real-time Clinical Decision Support
    Gordon, Lauren
    Austin, Peter
    Rudzicz, Frank
    Grantcharov, Teodor
    ANNALS OF SURGERY, 2019, 269 (01) : E14 - E15
  • [34] Evaluation of Real-Time Clinical Decision Support Systems for Platelet and Cryoprecipitate Orders
    Collins, Ryan A.
    Triulzi, Darrell J.
    Waters, Jonathan H.
    Reddy, Vivek
    Yazer, Mark H.
    AMERICAN JOURNAL OF CLINICAL PATHOLOGY, 2014, 141 (01) : 78 - 84
  • [35] The Next Chapter in Patient Blood Management Real-Time Clinical Decision Support
    Goodnough, Lawrence Tim
    Shah, Neil
    AMERICAN JOURNAL OF CLINICAL PATHOLOGY, 2014, 142 (06) : 741 - 747
  • [36] Optimizing Inpatient Blood Utilization Using Real-Time Clinical Decision Support
    Ikoma, Shohei
    Furukawa, Meg
    Busuttil, Ashley
    Ward, Dawn
    Baldwin, Kevin
    Mayne, Jeffrey
    Clarke, Robin
    Ziman, Alyssa
    APPLIED CLINICAL INFORMATICS, 2021, 12 (01): : 49 - 56
  • [37] Real-time artificial intelligence predicts adverse outcomes in acute pancreatitis in the emergency department: Comparison with clinical decision rule
    Chang, Ching-Hung
    Chen, Chia-Jung
    Ma, Yu-Shan
    Shen, Yu-Ting
    Sung, Mei-, I
    Hsu, Chien-Chin
    Lin, Hung-Jung
    Chen, Zhih-Cherng
    Huang, Chien-Cheng
    Liu, Chung-Feng
    ACADEMIC EMERGENCY MEDICINE, 2024, 31 (02) : 149 - 155
  • [38] Real-time surveillance and decision support: Optimizing infection control and antimicrobial choices at the point of care
    Young, Jeremy
    Stevenson, Kurt B.
    AMERICAN JOURNAL OF INFECTION CONTROL, 2008, 36 (03) : S67 - S74
  • [39] Dynamic changes in the real-time glomerular filtration rate and kidney injury markers in different acute kidney injury models
    Xin, Yu
    Liu, Yanqi
    Liu, Linqiong
    Wang, Xinran
    Wang, Dawei
    Song, Yuchen
    Shen, Lifeng
    Liu, Yuxi
    Liu, Yuhan
    Peng, Yahui
    Wang, Xibo
    Zhou, Yang
    Li, Hongxu
    Zhou, Yuxin
    Huang, Pengfei
    Yuan, Mengyao
    Xiao, Yu
    Yu, Kaijiang
    Wang, Changsong
    JOURNAL OF TRANSLATIONAL MEDICINE, 2024, 22 (01)
  • [40] Longer Time to Recovery From Acute Kidney Injury Is Associated with Increased Major Adverse Kidney Events in Patients With Cirrhosis
    Worden, Astin
    Naved, Mobasshir
    Kabir, Shoawli
    Grama, Ananth
    Adibuzzaman, Mohammad
    Desai, Archita
    Ghabril, Marwan
    Nephew, Lauren
    Chalasani, Naga
    Orman, Eric
    Patidar, Kavish
    AMERICAN JOURNAL OF GASTROENTEROLOGY, 2022, 117 (10): : S879 - S879