Use of an electronic decision support tool improves management of simulated in-hospital cardiac arrest

Larry C. Field, Matthew D. McEvoy, Jeremy C. Smalley, Carlee A. Clark, Michael B. McEvoy, Horst Rieke, Paul J. Nietert, Cory M. Furse

Research output: Contribution to journalArticlepeer-review

27 Scopus citations


Introduction: Adherence to advanced cardiac life support (ACLS) guidelines during in-hospital cardiac arrest (IHCA) is associated with improved outcomes, but current evidence shows that sub-optimal care is common. Successful execution of such protocols during IHCA requires rapid patient assessment and the performance of a number of ordered, time-sensitive interventions. Accordingly, we sought to determine whether the use of an electronic decision support tool (DST) improves performance during high-fidelity simulations of IHCA. Methods: After IRB approval and written informed consent was obtained, 47 senior medical students were enrolled. All participants were ACLS certified and within one month of graduation. Each participant was issued an iPod Touch device with a DST installed that contained all ACLS management algorithms. Participants managed two scenarios of IHCA and were allowed to use the DST in one scenario and prohibited from using it in the other. All participants managed the same scenarios. Simulation sessions were video recorded and graded by trained raters according to previously validated checklists. Results: Performance of correct protocol steps was significantly greater with the DST than without (84.7% v 73.8%, p < 0.001) and participants committed significantly fewer additional errors when using the DST (2.5 errors vs. 3.8 errors, p < 0.012). Conclusion: Use of an electronic DST provided a significant improvement in the management of simulated IHCA by senior medical students as measured by adherence to published guidelines.

Original languageEnglish (US)
Pages (from-to)138-142
Number of pages5
Issue number1
StatePublished - Jan 2014
Externally publishedYes


  • Advanced cardiac life support
  • Cardiopulmonary arrest
  • Electronic decision support tool
  • Simulation

ASJC Scopus subject areas

  • Emergency Medicine
  • Emergency
  • Cardiology and Cardiovascular Medicine


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