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Manual editing of automatically recorded data in an anesthesia information management system.
David B Wax1, Yaakov Beilin, Sabera Hossain
1Department of Anesthesiology, Mount Sinai School of Medicine, New York, NY 10029-6574, USA. david.wax@mssm.edu
Anesthesiology
|October 24, 2008
Summary
Physiologic data modification in anesthesia information management systems is common, with 19% of cases showing invalidated data. This practice, often involving vital signs, reduces data variability during surgery.
Area of Science:
- Anesthesiology
- Medical Informatics
- Health Data Analytics
Background:
- Anesthesia information management systems (AIMS) automate the recording of patient physiologic and anesthetic data.
- Data integrity and modification practices within these systems are critical for accurate clinical analysis.
Purpose of the Study:
- To investigate the prevalence and characteristics of data modification within an academic medical center's AIMS.
- To identify factors associated with the manual invalidation of automatically recorded data.
Main Methods:
- Analysis of 29,491 anesthetic cases from 2006 using the AIMS database.
- Tabulation of invalidated data points, including those with and without appended alternate values.
- Extraction of patient, practitioner, data source, and timing characteristics to assess associations with data editing.
Main Results:
- 19% of cases involved manual invalidation of at least one data point.
- Pulse rate, blood pressure, and pulse oximetry were the most frequently invalidated parameters.
- Data invalidation was associated with extreme physiologic values, patient status, procedure phase, and clinician involvement, typically decreasing parameter variance.
Conclusions:
- Editing of automatically recorded physiologic data in AIMS is a frequent occurrence.
- This practice demonstrably reduces the variability of intraoperative data.
- Further research is needed to understand the motivations and implications of AIMS data editing.
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