Literature DB >> 1389193

Are automated anesthesia records better?

D N Thrush1.   

Abstract

STUDY
OBJECTIVE: To determine whether data recorded by an information management system is significantly different from that recorded manually.
DESIGN: A comparison was made between 13 handwritten and 13 computer-generated anesthesia records by calculating the frequency with which recorded variables were outside predetermined acceptable ranges. Five physiologic variables [systolic blood pressure (SBP), diastolic blood pressure (DBP), heart rate (HR), end-tidal partial pressure of carbon dioxide (PETCO2), and oxygen saturation by pulse oximeter (SpO2)] were compared during the initial 1 1/2 hours of operation.
SETTING: Surgical suite at a university-affiliated hospital. PATIENTS: Thirteen adult patients scheduled for operations that required general anesthesia for longer than 1 1/2 hours. INTERVENTION: In addition to the traditional handwritten anesthesia records, an information management system (ARKIVE Patient Management System, DIATEK, San Diego, CA) was used to collect data from each case.
MEASUREMENTS AND MAIN RESULTS: No significant differences were found between the methods in the frequency of elevated SBP, elevated DBP, and tachycardia. However, the manual records showed low SBP, DBP, and HR with a significantly lower frequency (2%, 11%, 1%, respectively) than the automated records (6%, 26%, 5%, respectively; p < 0.01). The automated PETCO2 readings were higher than the upper limit (40 mmHg) with a higher frequency (18%) than the manual records (3%; p < 0.01). On the automated records, SpO2 was noted to be 90% or less on two occasions, but significant desaturation was noted only once on the manual charts.
CONCLUSIONS: Observer bias, missed readings, and errors of memory, which affect manual anesthetic records, may cause significant inaccuracy and may be avoided by using automated records generated by information management systems.

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Year:  1992        PMID: 1389193     DOI: 10.1016/0952-8180(92)90161-s

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


  12 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.  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

3.  Are anesthesia start and end times randomly distributed? The influence of electronic records.

Authors:  Litisha G Deal; Michael E Nyland; Nikolaus Gravenstein; Patrick Tighe
Journal:  J Clin Anesth       Date:  2014-05-20       Impact factor: 9.452

4.  Use of an automated anesthesia information system to determine reference limits for vital signs during cesarean section.

Authors:  F Dexter; D H Penning; D A Lubarsky; E DeLong; I Sanderson; B C Gilbert; E Bell; J G Reves
Journal:  J Clin Monit Comput       Date:  1998-12       Impact factor: 2.502

Review 5.  Patient data management systems in anaesthesia: an emerging technology.

Authors:  Y G Weiss; S Cotev; B Drenger; R Katzenelson
Journal:  Can J Anaesth       Date:  1995-10       Impact factor: 5.063

6.  Use of an anesthesia information management system (AIMS) to evaluate the physiologic effects of hypnotic agents used to induce anesthesia.

Authors:  M Benson; A Junger; C Fuchs; L Quinzio; S Böttger; G Hempelmann
Journal:  J Clin Monit Comput       Date:  2000       Impact factor: 2.502

Review 7.  Recent innovations in perfusion and cardiopulmonary bypass for neonatal and infant cardiac surgery.

Authors:  David Sturmer; Claude Beaty; Sean Clingan; Eric Jenkins; Whitney Peters; Ming-Sing Si
Journal:  Transl Pediatr       Date:  2018-04

8.  The future of the perfusion record: automated data collection vs. manual recording.

Authors:  Jane Ottens; Robert A Baker; Richard F Newland; Annette Mazzone
Journal:  J Extra Corpor Technol       Date:  2005-12

9.  Hypotension and adverse neurodevelopmental outcomes among children with multiple exposures to general anesthesia: Subanalysis of the Mayo Anesthesia Safety in Kids (MASK) Study.

Authors:  Stephen J Gleich; Yu Shi; Randall Flick; Michael J Zaccariello; Darrell R Schroeder; Andrew C Hanson; David O Warner
Journal:  Paediatr Anaesth       Date:  2021-01-04       Impact factor: 2.129

10.  Perioperative anesthetic documentation: Adherence to current Australian guidelines.

Authors:  Islam Elhalawani; Simon Jenkins; Nicole Newman
Journal:  J Anaesthesiol Clin Pharmacol       Date:  2013-04
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