Literature DB >> 18165578

Real-time checking of electronic anesthesia records for documentation errors and automatically text messaging clinicians improves quality of documentation.

Warren S Sandberg1, Elisabeth H Sandberg, Andreas R Seim, Shaji Anupama, Jesse M Ehrenfeld, Stephen F Spring, John L Walsh.   

Abstract

INTRODUCTION: The quality of electronic anesthesia documentation is important for downstream communication and to demonstrate appropriate diligence to care. Documentation quality will also impact the success of reimbursement contracts that require timely and complete documentation of specific interventions. We implemented a system to improve completeness of clinical documentation and evaluated the results over time.
METHODS: We used custom software to continuously scan for missing clinical documentation during anesthesia. We used patient allergies as a test case, taking advantage of a unique requirement in our system that allergies be manually entered into the electronic record. If no allergy information was entered within 15 min of the "start of anesthesia care" event, a one-time prompt was sent via pager to the person performing the anesthetic. We tabulated the daily fraction of cases missing allergy data for the 6 mo before activating the alert system. We then obtained the same data for the subsequent 9 mo. We tested for systematic performance changes using statistical process control methodologies.
RESULTS: Before initiating the alert system, the fraction of charts without an allergy comment was slightly more than 30%. This decreased to about 8% after initiating the alerts, and was significantly different from baseline within 5 days. Improvement lasted for the duration of the trial. Paging was suspended on nights, weekends, and holidays, yet weekend documentation performance also improved, indicating that weekday reminders had far-reaching effects. DISCUSSION: Electronic anesthesia documentation performance can be rapidly managed and improved by using an automatic process monitoring and alerting system.

Entities:  

Mesh:

Year:  2008        PMID: 18165578     DOI: 10.1213/01.ane.0000289640.38523.bc

Source DB:  PubMed          Journal:  Anesth Analg        ISSN: 0003-2999            Impact factor:   5.108


  21 in total

1.  The reliability of manual reporting of clinical events in an anesthesia information management system (AIMS).

Authors:  Allan F Simpao; Eric Y Pruitt; Scott D Cook-Sather; Harshad G Gurnaney; Mohamed A Rehman
Journal:  J Clin Monit Comput       Date:  2012-05-22       Impact factor: 2.502

2.  A substitution method to improve completeness of events documentation in anesthesia records.

Authors:  Antoine Lamer; Julien De Jonckheere; Romaric Marcilly; Benoît Tavernier; Benoît Vallet; Mathieu Jeanne; Régis Logier
Journal:  J Clin Monit Comput       Date:  2015-01-30       Impact factor: 2.502

3.  A Preliminary Study of Clinical Abbreviation Disambiguation in Real Time.

Authors:  Y Wu; J C Denny; S T Rosenbloom; R A Miller; D A Giuse; M Song; H Xu
Journal:  Appl Clin Inform       Date:  2015-06-03       Impact factor: 2.342

4.  Intraoperative blood glucose management: impact of a real-time decision support system on adherence to institutional protocol.

Authors:  Bala G Nair; Katherine Grunzweig; Gene N Peterson; Mayumi Horibe; Moni B Neradilek; Shu-Fang Newman; Gail Van Norman; Howard A Schwid; Wei Hao; Irl B Hirsch; E Patchen Dellinger
Journal:  J Clin Monit Comput       Date:  2015-06-12       Impact factor: 2.502

5.  Near real-time notification of gaps in cuff blood pressure recordings for improved patient monitoring.

Authors:  Bala G Nair; Mayumi Horibe; Shu-Fang Newman; Wei-Ying Wu; Howard A Schwid
Journal:  J Clin Monit Comput       Date:  2013-01-03       Impact factor: 2.502

6.  Innovation & market consolidation among electronic health record vendors: an acute need for regulation.

Authors:  J Wanderer; P Mishra; J Ehrenfeld
Journal:  J Med Syst       Date:  2014-01       Impact factor: 4.460

Review 7.  A systematic review of near real-time and point-of-care clinical decision support in anesthesia information management systems.

Authors:  Allan F Simpao; Jonathan M Tan; Arul M Lingappan; Jorge A Gálvez; Sherry E Morgan; Michael A Krall
Journal:  J Clin Monit Comput       Date:  2016-08-16       Impact factor: 2.502

Review 8.  Perioperative Information Systems: Opportunities to Improve Delivery of Care and Clinical Outcomes in Cardiac and Vascular Surgery.

Authors:  Robert E Freundlich; Jesse M Ehrenfeld
Journal:  J Cardiothorac Vasc Anesth       Date:  2017-11-04       Impact factor: 2.628

Review 9.  Anesthesia information management systems: a review of functionality and installation considerations.

Authors:  Jesse M Ehrenfeld; Mohamed A Rehman
Journal:  J Clin Monit Comput       Date:  2010-08-24       Impact factor: 2.502

10.  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

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