Electronic health record-based clinical decision support alert for severe sepsis: a randomised evaluation

被引:68
|
作者
Downing, Norman Lance [1 ,2 ]
Rolnick, Joshua [3 ,4 ,5 ]
Poole, Sarah F. [6 ]
Hall, Evan [7 ]
Wessels, Alexander J. [8 ]
Heidenreich, Paul [9 ]
Shieh, Lisa [8 ]
机构
[1] Stanford Univ, Hosp Med & Primary Care & Populat Hlth, Dept Med Biomed Informat Res, Stanford, CA 94025 USA
[2] Stanford Univ, Clin Excellence Res Ctr, Stanford, CA 94025 USA
[3] Univ Penn, Perelman Sch Med, Dept Med, Div Gen Internal Med, Philadelphia, PA USA
[4] Univ Penn, Perelman Sch Med, Natl Clinician Scholars Program, Philadelphia, PA USA
[5] Corporal Michael J Crescenz VA Med Ctr, Philadelphia, PA USA
[6] Stanford Univ, Biomed Informat Training Program, Stanford, CA 94025 USA
[7] Stanford Univ, Med Hematol & Oncol, Stanford, CA 94025 USA
[8] Stanford Sch Med, Med, Stanford, CA 94305 USA
[9] Stanford Univ, Dept Med, Cardiovasc Med, Sch Med, Stanford, CA 94025 USA
关键词
UNITED-STATES; SEPTIC SHOCK; IMPACT; OUTCOMES; SYSTEMS; MORTALITY; TIME;
D O I
10.1136/bmjqs-2018-008765
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background Sepsis remains the top cause of morbidity and mortality of hospitalised patients despite concerted efforts. Clinical decision support for sepsis has shown mixed results reflecting heterogeneous populations, methodologies and interventions. Objectives To determine whether the addition of a real-time electronic health record (EHR)-based clinical decision support alert improves adherence to treatment guidelines and clinical outcomes in hospitalised patients with suspected severe sepsis. Design Patient-level randomisation, single blinded. Setting Medical and surgical inpatient units of an academic, tertiary care medical centre. Patients 1123 adults over the age of 18 admitted to inpatient wards (intensive care units (ICU) excluded) at an academic teaching hospital between November 2014 and March 2015. Interventions Patients were randomised to either usual care or the addition of an EHR-generated alert in response to a set of modified severe sepsis criteria that included vital signs, laboratory values and physician orders. Measurements and main results There was no significant difference between the intervention and control groups in primary outcome of the percentage of patients with new antibiotic orders at 3 hours after the alert (35% vs 37%, p=0.53). There was no difference in secondary outcomes of in-hospital mortality at 30 days, length of stay greater than 72 hours, rate of transfer to ICU within 48 hours of alert, or proportion of patients receiving at least 30 mL/kg of intravenous fluids. Conclusions An EHR-based severe sepsis alert did not result in a statistically significant improvement in several sepsis treatment performance measures.
引用
收藏
页码:762 / 768
页数:7
相关论文
共 50 条
  • [21] Impact of an Electronic Medical Record-Based Clinical Decision Support Tool for Dysphagia Screening on Care Quality
    Lakshminarayan, Kamakshi
    Rostambeigi, Nassir
    Fuller, Candace C.
    Peacock, James M.
    Tsai, Albert W.
    [J]. STROKE, 2012, 43 (12) : 3399 - 3401
  • [22] Using Electronic Health Record-Based Clinical Decision Support to Provide Social Risk-Informed Care in Community Health Centers: Protocol for the Design and Assessment of a Clinical Decision Support Tool
    Gold, Rachel
    Sheppler, Christina
    Hessler, Danielle
    Bunce, Arwen
    Cottrell, Erika
    Yosuf, Nadia
    Pisciotta, Maura
    Gunn, Rose
    Leo, Michael
    Gottlieb, Laura
    [J]. JMIR RESEARCH PROTOCOLS, 2021, 10 (10):
  • [23] Test collections for electronic health record-based clinical information retrieval
    Wang, Yanshan
    Wen, Andrew
    Liu, Sijia
    Hersh, William
    Bedrick, Steven
    Liu, Hongfang
    [J]. JAMIA OPEN, 2019, 2 (03) : 360 - 368
  • [24] Comparison of Administrative versus Electronic Health Record-based Methods for Identifying Sepsis Hospitalizations
    Karlic, Kevin J.
    Clouse, Tori L.
    Hogan, Cainnear K.
    Garland, Allan
    Seelye, Sarah
    Sussman, Jeremy B.
    Prescott, Hallie C.
    [J]. ANNALS OF THE AMERICAN THORACIC SOCIETY, 2023, 20 (09) : 1309 - 1315
  • [25] Evaluation of User-Interface Alert Displays for Clinical Decision Support Systems for Sepsis
    Long, Devida
    Capan, Muge
    Mascioli, Susan
    Weldon, Danielle
    Arnold, Ryan
    Miller, Kristen
    [J]. CRITICAL CARE NURSE, 2018, 38 (04) : 46 - 54
  • [26] Diagnostic evaluation of patients presenting with hematuria: An electronic health record-based study
    Richards, Kyle A.
    Ruiz, Vania Lopez
    Murphy, Daniel R.
    Downs, Tracy M.
    Abel, E. Jason
    Jarrard, David F.
    Singh, Hardeep
    [J]. UROLOGIC ONCOLOGY-SEMINARS AND ORIGINAL INVESTIGATIONS, 2018, 36 (03) : 88.e19 - 88.e25
  • [27] Development of an electronic medical record-based child physical abuse alert system
    Berger, Rachel P.
    Saladino, Richard A.
    Fromkin, Janet
    Heineman, Emily
    Suresh, Srinivasan
    McGinn, Tom
    [J]. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2018, 25 (02) : 142 - 149
  • [28] Effect of an Electronic Health Record Decision Support Alert to Decrease Excess Cervical Cancer Screening
    Teoh, Deanna
    Vogel, Rachel I.
    Langer, Adam
    Bharucha, Jinai
    Geller, Melissa A.
    Harwood, Eileen
    Kulasingam, Shalini
    Melton, Genevieve B.
    [J]. JOURNAL OF LOWER GENITAL TRACT DISEASE, 2019, 23 (04) : 253 - 258
  • [29] Measures of SES for Electronic Health Record-based Research
    Casey, Joan A.
    Pollak, Jonathan
    Glymour, M. Maria
    Mayeda, Elizabeth R.
    Hirsch, Annemarie G.
    Schwartz, Brian S.
    [J]. AMERICAN JOURNAL OF PREVENTIVE MEDICINE, 2018, 54 (03) : 430 - 439
  • [30] Electronic Health Record-Based Screening for Substance Abuse
    Alemi, Farrokh
    Avramovic, Sanja
    Schwartz, Mark D.
    [J]. BIG DATA, 2018, 6 (03) : 214 - 224