Literature DB >> 17312215

Electronic reminders improve procedure documentation compliance and professional fee reimbursement.

Sachin Kheterpal1, Ruchika Gupta, James M Blum, Kevin K Tremper, Michael O'Reilly, Paul E Kazanjian.   

Abstract

BACKGROUND: Medicolegal, clinical, and reimbursement needs warrant complete and accurate documentation. We sought to identify and improve our compliance rate for the documentation of arterial catheterization in the perioperative setting.
METHODS: We first reviewed 12 mo of electronic anesthesia records to establish a baseline compliance rate for arterial catheter documentation. Residents and Certified Registered Nurse Anesthetists were randomly assigned to a control group and experimental group. When surgical incision and anesthesia end were documented in the electronic record keeper, a reminder routine checked for an invasive arterial blood pressure tracing. If a case used an arterial catheter, but no procedure note was observed, the resident or Certified Registered Nurse Anesthetist assigned to the case was sent an automated alphanumeric pager and e-mail reminder. Providers in the control group received no pager or e-mail message. After 2 mo, all staff received the reminders.
RESULTS: A baseline compliance rate of 80% was observed (1963 of 2459 catheters documented). During the 2-mo study period, providers in the control group documented 152 of 202 (75%) arterial catheters, and the experimental group documented 177 of 201 (88%) arterial lines (P < 0.001). After all staff began receiving reminders, 309 of 314 arterial lines were documented in a subsequent 2 mo period (98%). Extrapolating this compliance rate to 12 mo of expected arterial catheter placement would result in an annual incremental $40,500 of professional fee reimbursement.
CONCLUSIONS: The complexity of the tertiary care process results in documentation deficiencies. Inexpensive automated reminders can drastically improve compliance without the need for complicated negative or positive feedback.

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Year:  2007        PMID: 17312215     DOI: 10.1213/01.ane.0000255707.98268.96

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


  20 in total

1.  Anesthesia recordkeeping: accuracy of recall with computerized and manual entry recordkeeping.

Authors:  Thomas Corey Davis; Jeffrey A Green; Alexander Colquhoun; Brenda L Hage; Chuck Biddle
Journal:  J Clin Monit Comput       Date:  2012-03-17       Impact factor: 2.502

2.  A novel electronic algorithm for detecting potentially insufficient anesthesia: implications for the prevention of intraoperative awareness.

Authors:  George A Mashour; Roy K Esaki; John C Vandervest; Amy Shanks; Sachin Kheterpal
Journal:  J Clin Monit Comput       Date:  2009-08-08       Impact factor: 2.502

3.  Adoption of anesthesia information management systems by US anesthesiologists.

Authors:  Terrence L Trentman; Jeff T Mueller; Keith J Ruskin; Brie N Noble; Christine A Doyle
Journal:  J Clin Monit Comput       Date:  2011-07-05       Impact factor: 2.502

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

Review 6.  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

7.  Comparison of minute distribution frequency for anesthesia start and end times from an anesthesia information management system and paper records.

Authors:  Michael Phelps; Asad Latif; Robert Thomsen; Martin Slodzinski; Rahul Raghavan; Sharon Leigh Paul; Jerry Stonemetz
Journal:  J Clin Monit Comput       Date:  2016-06-07       Impact factor: 2.502

8.  The Impact of an Intraoperative Clinical Decision Support Tool to Optimize Perioperative Glycemic Management.

Authors:  Gen Li; Chelsie J K Dietz; Robert E Freundlich; Matthew S Shotwell; Jonathan P Wanderer
Journal:  J Med Syst       Date:  2020-08-21       Impact factor: 4.460

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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