Literature DB >> 23333782

A randomized trial of automated electronic alerts demonstrating improved reimbursable anesthesia time documentation.

Robert E Freundlich1, Caryn S Barnet, Michael R Mathis, Amy M Shanks, Kevin K Tremper, Sachin Kheterpal.   

Abstract

STUDY
OBJECTIVE: To investigate whether alerting providers to errors results in improved documentation of reimbursable anesthesia care.
DESIGN: Prospective randomized controlled trial.
SETTING: Operating room (OR) of a university hospital.
INTERVENTIONS: Anesthesia cases were evaluated to determine whether they met the definition for appropriate anesthesia start time over 4 separate, 45-day calendar cycles: the pre-study period, study period, immediate post-study period, and 3-year follow-up period. During the study period, providers were randomly assigned to either a control or an alert group. Providers in the alert cohort received an automated alphanumeric page if the anesthesia start time occurred concurrently with the patient entering the OR, or more than 30 minutes before entering the OR. MEASUREMENTS: Three years after the intervention period, overall compliance was analyzed to assess learned behavior. MAIN
RESULTS: Baseline compliance was 33% ± 5%. During the intervention period, providers in the alert group showed 87% ± 6% compliance compared with 41% ± 7% compliance in the control group (P < 0.001). Long-term follow-up after cessation of the alerts showed 85% ± 4% compliance.
CONCLUSIONS: Automated electronic reminders for time-based billing charges are effective and result in improved ongoing reimbursement.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2013        PMID: 23333782     DOI: 10.1016/j.jclinane.2012.06.020

Source DB:  PubMed          Journal:  J Clin Anesth        ISSN: 0952-8180            Impact factor:   9.452


  7 in total

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Authors:  Allan F Simpao; Jonathan M Tan; Arul M Lingappan; Jorge A Gálvez; Sherry E Morgan; Michael A Krall
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Review 3.  Perioperative Information Systems: Opportunities to Improve Delivery of Care and Clinical Outcomes in Cardiac and Vascular Surgery.

Authors:  Robert E Freundlich; Jesse M Ehrenfeld
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Review 4.  The effects of on-screen, point of care computer reminders on processes and outcomes of care.

Authors:  Kaveh G Shojania; Alison Jennings; Alain Mayhew; Craig R Ramsay; Martin P Eccles; Jeremy Grimshaw
Journal:  Cochrane Database Syst Rev       Date:  2009-07-08

5.  Opal: an implementation science tool for machine learning clinical decision support in anesthesia.

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Journal:  J Clin Monit Comput       Date:  2021-11-27       Impact factor: 1.977

6.  Routine Health Information System (RHIS) improvements for strengthened health system management.

Authors:  Natalie Leon; Yusentha Balakrishna; Ameer Hohlfeld; Willem A Odendaal; Bey-Marrié Schmidt; Virginia Zweigenthal; Jocelyn Anstey Watkins; Karen Daniels
Journal:  Cochrane Database Syst Rev       Date:  2020-08-13

7.  An email-based intervention to improve the number and timeliness of letters sent from the hospital outpatient clinic to the general practitioner: A pair-randomized controlled trial.

Authors:  Stephanie Medlock; Juliette L Parlevliet; Danielle Sent; Saeid Eslami; Marjan Askari; Derk L Arts; Joost B Hoekstra; Sophia E de Rooij; Ameen Abu-Hanna
Journal:  PLoS One       Date:  2017-10-23       Impact factor: 3.240

  7 in total

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