Literature DB >> 29697806

Decreasing triage time: effects of implementing a step-wise ESI algorithm in an EHR.

Stephen Villa1, Ellen J Weber1, Steven Polevoi1, Christopher Fee1, Andrew Maruoka2, Tina Quon1.   

Abstract

OBJECTIVES: To determine if adapting a widely-used triage scale into a computerized algorithm in an electronic health record (EHR) shortens emergency department (ED) triage time.
DESIGN: Before-and-after quasi-experimental study.
SETTING: Urban, tertiary care hospital ED. PARTICIPANTS: Consecutive adult patient visits between July 2011 and June 2013. INTERVENTION: A step-wise algorithm, based on the Emergency Severity Index (ESI-5) was programmed into the triage module of a commercial EHR. MAIN OUTCOME MEASURES: Duration of triage (triage interval) for all patients and change in percentage of high acuity patients (ESI 1 and 2) completing triage within 15 min, 12 months before-and-after implementation of the algorithm. Multivariable analysis adjusted for confounders; interrupted time series demonstrated effects over time. Secondary outcomes examined quality metrics and patient flow.
RESULTS: About 32 546 patient visits before and 33 032 after the intervention were included. Post-intervention patients were slightly older, census was higher and admission rate slightly increased. Median triage interval was 5.92 min (interquartile ranges, IQR 4.2-8.73) before and 2.8 min (IQR 1.88-4.23) after the intervention (P < 0.001). Adjusted mean triage interval decreased 3.4 min (95% CI: -3.6, -3.2). The proportion of high acuity patients completing triage within 15 min increased from 63.9% (95% CI 62.5, 65.2%) to 75.0% (95% CI 73.8, 76.1). Monthly time series demonstrated immediate and sustained improvement following the intervention. Return visits within 72 h and door-to-balloon time were unchanged. Total length of stay was similar.
CONCLUSION: The computerized triage scale improved speed of triage, allowing more high acuity patients to be seen within recommended timeframes, without notable impact on quality.

Entities:  

Mesh:

Year:  2018        PMID: 29697806      PMCID: PMC6005140          DOI: 10.1093/intqhc/mzy056

Source DB:  PubMed          Journal:  Int J Qual Health Care        ISSN: 1353-4505            Impact factor:   2.038


  10 in total

1.  Emergency triage: comparing a novel computer triage program with standard triage.

Authors:  Sandy L Dong; Michael J Bullard; David P Meurer; Ian Colman; Sandra Blitz; Brian R Holroyd; Brian H Rowe
Journal:  Acad Emerg Med       Date:  2005-06       Impact factor: 3.451

2.  Mandatory triage does not identify high-acuity patients within recommended time frames.

Authors:  Ellen J Weber; Ian McAlpine; Barbara Grimes
Journal:  Ann Emerg Med       Date:  2011-04-23       Impact factor: 5.721

3.  Emergency Department triage: what data are nurses collecting?

Authors:  Jessica Castner
Journal:  J Emerg Nurs       Date:  2011-04-06       Impact factor: 1.836

4.  The performance limits of traditional triage.

Authors:  Shari J Welch; Steven J Davidson
Journal:  Ann Emerg Med       Date:  2011-05-20       Impact factor: 5.721

5.  Evaluating the impact of the electronic health record on patient flow in a pediatric emergency department.

Authors:  Dj Mathison; Jm Chamberlain
Journal:  Appl Clin Inform       Date:  2011-02-02       Impact factor: 2.342

6.  Measuring pediatric quality of care in rural clinics-a multi-country assessment-Cambodia, Guatemala, Zambia and Kenya.

Authors:  Anbrasi Edward; Kim Dam; Jane Chege; Annette E Ghee; Hossein Zare; Chea Chhorvann
Journal:  Int J Qual Health Care       Date:  2016-08-03       Impact factor: 2.038

7.  Percentage of US emergency department patients seen within the recommended triage time: 1997 to 2006.

Authors:  Leora I Horwitz; Elizabeth H Bradley
Journal:  Arch Intern Med       Date:  2009-11-09

8.  Implications of England's four-hour target for quality of care and resource use in the emergency department.

Authors:  Ellen J Weber; Suzanne Mason; Jennifer V Freeman; Joanne Coster
Journal:  Ann Emerg Med       Date:  2012-10-23       Impact factor: 5.721

9.  Evaluation of electronic health record implementation in ophthalmology at an academic medical center (an American Ophthalmological Society thesis).

Authors:  Michael F Chiang; Sarah Read-Brown; Daniel C Tu; Dongseok Choi; David S Sanders; Thomas S Hwang; Steven Bailey; Daniel J Karr; Elizabeth Cottle; John C Morrison; David J Wilson; Thomas R Yackel
Journal:  Trans Am Ophthalmol Soc       Date:  2013-09

10.  Impact of electronic health record implementation on patient flow metrics in a pediatric emergency department.

Authors:  Stephanie Spellman Kennebeck; Nathan Timm; Michael K Farrell; S Andrew Spooner
Journal:  J Am Med Inform Assoc       Date:  2011-11-03       Impact factor: 4.497

  10 in total
  3 in total

1.  A summary of eye-related visits to a tertiary emergency department.

Authors:  Ravneet S Rai; Nitish Mehta; Ryan Larochelle; Siddarth Rathi; Joel S Schuman
Journal:  Sci Rep       Date:  2021-02-15       Impact factor: 4.379

2.  Clinical Implementation of Predictive Models Embedded within Electronic Health Record Systems: A Systematic Review.

Authors:  Terrence C Lee; Neil U Shah; Alyssa Haack; Sally L Baxter
Journal:  Informatics (MDPI)       Date:  2020-07-25

3.  Patient disposition using the Emergency Severity Index: a retrospective observational study at an interdisciplinary emergency department.

Authors:  Stefanie Völk; Uwe Koedel; Sophia Horster; Andreas Bayer; Jan G D'Haese; Hans-Walter Pfister; Matthias Klein
Journal:  BMJ Open       Date:  2022-05-12       Impact factor: 3.006

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.