Mediated Interruptions of Anaesthesia Providers using Predictions of Workload from Anaesthesia Information Management System Data
Author:
Affiliation:
1. Department of Anesthesiology, Jefferson Medical College, Philadelphia, Pennsylvania, USA
2. University of Iowa, Iowa City, Iowa.
Publisher
SAGE Publications
Subject
Anesthesiology and Pain Medicine,Critical Care and Intensive Care Medicine
Link
http://journals.sagepub.com/doi/pdf/10.1177/0310057X1204000508
Reference30 articles.
1. Real-Time Checking of Electronic Anesthesia Records for Documentation Errors and Automatically Text Messaging Clinicians Improves Quality of Documentation
2. Automated Documentation Error Detection and Notification Improves Anesthesia Billing Performance
3. Electronic Reminders Improve Procedure Documentation Compliance and Professional Fee Reimbursement
4. Automatic Notifications Mediated by Anesthesia Information Management Systems Reduce the Frequency of Prolonged Gaps in Blood Pressure Documentation
5. Automatic Updating of Times Remaining in Surgical Cases Using Bayesian Analysis of Historical Case Duration Data and “Instant Messaging” Updates from Anesthesia Providers
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