Literature DB >> 22372254

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

Jesse M Ehrenfeld1, Justin P Henneman, Robert A Peterfreund, Tyler D Sheehan, Feng Xue, Stephen Spring, Warren S Sandberg.   

Abstract

BACKGROUND: The Massachusetts General Hospital (Boston), a large academic center providing anesthesia services for more than 49,000 procedures each year, created an Ongoing Professional Practice Evaluation (OPPE) process that could use readily available, automatically captured electronic information from its vendor-provided anesthesia information management system.
METHODS: The OPPE credentialing committee selected the following initial metrics: Blood pressure (BP) monitoring, end tidal CO2 monitoring, and timely documentation of compliance statements. Baseline data on the metrics were collected in an eight-month period (January 1, 2008-August 31, 2008). In February 2009 information on the metrics was provided to the department's staff members, and the ongoing evaluation process began. On the basis of three months of data, final reports for physicians being credentialed were distributed. Each report included a listing for each metric of the total number of compliant cases and noncompliant cases and a comparison by percentage to the baseline departmental evaluation. A summary statement indicated whether a physician's performance was within the group representing 95% of all department physicians. Noncompliant cases were listed by medical record number and case date so providers and reviewers could examine individual cases.
CONCLUSION: A novel, automated, and continuous reporting system for physician credentialing that uses the existing clinical information system infrastructure can serve as a key element of a comprehensive clinical performance evaluation that measures both technical and generalizable clinical skill sets. It is not intended to provide a complete system for measuring competence but rather to serve as a first-round warning mechanism and metric scoring tool to identify problems and potential performance noncompliance issues.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22372254     DOI: 10.1016/s1553-7250(12)38010-0

Source DB:  PubMed          Journal:  Jt Comm J Qual Patient Saf        ISSN: 1553-7250


  6 in total

1.  Anesthesia report card - a customizable tool for performance improvement.

Authors:  Christian D Peccora; Robert Gimlich; Richard P Cornell; Charles A Vacanti; Jesse M Ehrenfeld; Richard D Urman
Journal:  J Med Syst       Date:  2014-07-20       Impact factor: 4.460

2.  Medical Informatics and Opportunity for Anesthesiologists.

Authors:  Ren-Yu Liu; Meghan Lane-Fall; C William Hanson; Joshua Atkins; Jia-Bin Liu; Lee Fleisher
Journal:  Ma Zui Yu Jian Hu Lun Tan       Date:  2013-09-20

3.  Automated near-real-time clinical performance feedback for anesthesiology residents: one piece of the milestones puzzle.

Authors:  Jesse M Ehrenfeld; Matthew D McEvoy; William R Furman; Dylan Snyder; Warren S Sandberg
Journal:  Anesthesiology       Date:  2014-01       Impact factor: 7.892

4.  Analysis of factors associated with extended recovery time after colonoscopy.

Authors:  Patrick C Eschenfeldt; Uri Kartoun; Curtis R Heberle; Chung Yin Kong; Norman S Nishioka; Kenney Ng; Sagar Kamarthi; Chin Hur
Journal:  PLoS One       Date:  2018-06-21       Impact factor: 3.240

5.  Development and usability testing of an audit and feedback tool for anesthesiologists.

Authors:  Atilio Barbeito; Noa Segall
Journal:  JAMIA Open       Date:  2019-02-04

Review 6.  Terminology, communication, and information systems in nonoperating room anaesthesia in the COVID-19 era.

Authors:  Christina A Jelly; Holly B Ende; Robert E Freundlich
Journal:  Curr Opin Anaesthesiol       Date:  2020-08       Impact factor: 2.733

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.