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Related Experiment Video

Updated: May 15, 2026

E-Patient Counseling Trial (E-PACO): Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy

E-Patient Counseling Trial (E-PACO): Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy

Published on: August 1, 2019

Evaluating how electronic charting affects resident productivity.

Daniel Henning¹, Steven Horng, Leon Sanchez

¹Department of Emergency Medicine, Beth Israel Deaconess Medical Center, One Deaconess Road, W-CC2, Boston, MA 02215, USA. dhenning@bidmc.harvard.edu

Internal and Emergency Medicine

|January 22, 2013

Summary

This summary is machine-generated.

Introducing electronic medical records (EMRs) in the emergency department (ED) did not significantly impact resident productivity. Our study found no substantial change in patients evaluated per hour after EMR implementation.

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Last Updated: May 15, 2026

E-Patient Counseling Trial (E-PACO): Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy

E-Patient Counseling Trial (E-PACO): Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy

Published on: August 1, 2019

Area of Science:

Medical Informatics
Healthcare Management
Emergency Medicine

Background:

Electronic Medical Records (EMRs) are increasingly adopted to enhance patient record management and information exchange.
Concerns exist that EMR implementation in fast-paced environments like the Emergency Department (ED) may negatively affect resident physician productivity.

Purpose of the Study:

To evaluate the impact of introducing an EMR system on the productivity of first-year emergency medicine residents.
To determine if EMR use influences the number of patients evaluated per hour by residents in an academic ED.

Main Methods:

Retrospective analysis of 2,405 resident shifts (1,259 pre-EMR, 1,146 post-EMR) at a large, academic, tertiary care center.
Productivity measured as patients per hour (pt/hr), analyzed using univariate and mixed-model multivariate regression.
Models controlled for acuity zones, admissions, sign-outs, daily ED volume, and time since EMR implementation.

Main Results:

Univariate analysis showed a slight, non-significant increase in productivity in the high acuity zone (0.084 pt/hr) and a decrease in the low acuity zone (0.029 pt/hr) with EMR use.
Multivariate regression indicated a small, non-significant increase in productivity in both high (0.038 pt/hr) and low (0.009 pt/hr) acuity zones with the EMR.
No statistically significant relationship was found between EMR implementation and resident productivity.

Conclusions:

The introduction of an EMR system in an academic ED setting did not lead to a significant decrease in resident physician productivity.
Findings suggest that concerns regarding EMRs detrimentally affecting resident efficiency may be overstated.
Further research could explore long-term effects and specific EMR features influencing productivity.