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Yale University

Implementing Real-Time Computerized Clinical Decision Support During Trauma Resuscitations: Lessons Learned From Simulation.

Abstract

dc:description.abstract

<p>Through the combination of clinical expertise, research, and patient values evidence-based practice (EBP) is becoming the new standard of patient care. Despite the main benefits of EBP medical providers are hesitant to implement based on a multitude of barriers. In order to increase adoption of EBP we need to develop deliver systems that bring best evidence in an easy to use format to the bedside.</p> <p>We tested the implementation of a computerized clinical decision support documentation platform during trauma team resuscitations. The simulation sessions were geared to help identify opportunities for improvement in our implementation methodology.</p> <p>During the simulation sessions an improvement in care was not identified in comparison to previous in situ simulation sessions. We did identify several opportunities to improve patient care through the use of disruptive alerts, additional training, and a time period for familiarization with the product.</p>

Degree

thesis:*
Name thesis:degree_name
Doctor of Nursing Practice (DNP)
Level thesis:degree_level
Open Access Thesis
Discipline thesis:degree_discipline
Yale University School of Nursing
Year
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Christopherson, Nathan Arnold Miller
Contributors dc:contributor
  • Laura K. Andrews

Subjects

dc:subject × 1

Identifiers

dc:identifier.*
Repository record dc:identifier
https://elischolar.library.yale.edu/ysndt/1090
OAI identifier oai:identifier
oai:elischolar.library.yale.edu:ysndt-1089

Chain of custody

source
Harvested from
Yale University
Base URL
elischolar.library.yale.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Christopherson, Nathan Arnold Miller. Implementing Real-Time Computerized Clinical Decision Support During Trauma Resuscitations: Lessons Learned From Simulation.. Open Access Thesis thesis, 2019. https://elischolar.library.yale.edu/ysndt/1090