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Related Experiment Video

Updated: May 24, 2026

Recording Brain Electromagnetic Activity During the Administration of the Gaseous Anesthetic Agents Xenon and Nitrous Oxide in Healthy Volunteers
14:52

Recording Brain Electromagnetic Activity During the Administration of the Gaseous Anesthetic Agents Xenon and Nitrous Oxide in Healthy Volunteers

Published on: January 13, 2018

Ongoing professional performance evaluation (OPPE) using automatically captured electronic anesthesia data.

Jesse M Ehrenfeld1, Justin P Henneman, Robert A Peterfreund

  • 1Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, USA. jesse.ehrenfeld@vanderbilt.edu

Joint Commission Journal on Quality and Patient Safety
|March 1, 2012
PubMed
Summary
This summary is machine-generated.

Massachusetts General Hospital developed an automated Ongoing Professional Practice Evaluation (OPPE) using anesthesia data. This system enhances physician credentialing by identifying potential performance issues through continuous monitoring.

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Area of Science:

  • Anesthesiology
  • Health Informatics
  • Medical Education

Background:

  • Massachusetts General Hospital, a major academic center, performs over 49,000 anesthesia procedures annually.
  • An automated Ongoing Professional Practice Evaluation (OPPE) system was developed utilizing existing anesthesia information management system (AIMS) data.

Purpose of the Study:

  • To create an automated and continuous physician credentialing and performance evaluation process.
  • To leverage electronic health record data for ongoing professional practice evaluation.

Main Methods:

  • Selected metrics included blood pressure monitoring, end-tidal CO2 monitoring, and documentation compliance.
  • Baseline data collected for eight months; ongoing evaluation initiated with monthly data reports.
  • Physician reports compared performance against baseline and departmental averages, highlighting compliant and non-compliant cases.

Main Results:

  • The system provided continuous feedback on physician performance using automated data.
  • Reports detailed compliant and non-compliant cases, allowing for individual case review.
  • Physician performance was benchmarked against departmental data and a 95% performance group.

Conclusions:

  • An automated OPPE system using existing clinical infrastructure is effective for physician credentialing.
  • This novel system aids in evaluating technical and generalizable clinical skills.
  • The system serves as an initial warning mechanism to identify performance noncompliance.