Skip to main content
Top
Published in: Journal of Clinical Monitoring and Computing 4/2017

01-08-2017 | Original Research

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

Published in: Journal of Clinical Monitoring and Computing | Issue 4/2017

Login to get access

Abstract

Use of an anesthesia information management system (AIMS) has been reported to improve accuracy of recorded information. We tested the hypothesis that analyzing the distribution of times charted on paper and computerized records could reveal possible rounding errors, and that this effect could be modulated by differences in the user interface for documenting certain event times with an AIMS. We compared the frequency distribution of start and end times for anesthesia cases completed with paper records and an AIMS. Paper anesthesia records had significantly more times ending with “0” and “5” compared to those from the AIMS (p < 0.001). For case start times, AIMS still exhibited end-digit preference, with times whose last digits had significantly higher frequencies of “0” and “5” than other integers. This effect, however, was attenuated compared to that for paper anesthesia records. For case end times, the distribution of minutes recorded with AIMS was almost evenly distributed, unlike those from paper records that still showed significant end-digit preference. The accuracy of anesthesia case start times and case end times, as inferred by statistical analysis of the distribution of the times, is enhanced with the use of an AIMS. Furthermore, the differences in AIMS user interface for documenting case start and case end times likely affects the degree of end-digit preference, and likely accuracy, of those times.
Literature
1.
go back to reference Gálvez JA, Rothman BS, Doyle CA, Morgan S, Simpao AF, Rehman MA. A narrative review of meaningful use and anesthesia information management systems. Anesth Analg. 2015;121:693–706.CrossRefPubMed Gálvez JA, Rothman BS, Doyle CA, Morgan S, Simpao AF, Rehman MA. A narrative review of meaningful use and anesthesia information management systems. Anesth Analg. 2015;121:693–706.CrossRefPubMed
2.
go back to reference Devitt JH, Rapanos T, Kurrek M, Cohen MM, Shaw M. The anesthetic record: accuracy and completeness. Can J Anaesth. 1999;46:122–8.CrossRefPubMed Devitt JH, Rapanos T, Kurrek M, Cohen MM, Shaw M. The anesthetic record: accuracy and completeness. Can J Anaesth. 1999;46:122–8.CrossRefPubMed
3.
go back to reference Kheterpal S, Gupta R, Blum JM, Tremper KK, O’Reilly M, Kazanjian PE. Electronic reminders improve procedure documentation compliance and professional fee reimbursement. Anesth Analg. 2007;104:592–7.CrossRefPubMed Kheterpal S, Gupta R, Blum JM, Tremper KK, O’Reilly M, Kazanjian PE. Electronic reminders improve procedure documentation compliance and professional fee reimbursement. Anesth Analg. 2007;104:592–7.CrossRefPubMed
4.
go back to reference Spring SF, Sandberg WS, Anupama S, Walsh JL, Driscoll WD, Raines DE. Automated documentation error detection and notification improves anesthesia billing performance. Anesthesiology. 2007;106:157–63.CrossRefPubMed Spring SF, Sandberg WS, Anupama S, Walsh JL, Driscoll WD, Raines DE. Automated documentation error detection and notification improves anesthesia billing performance. Anesthesiology. 2007;106:157–63.CrossRefPubMed
5.
go back to reference Kadry B, Feaster WW, Macario A, Ehrenfeld JM. Anesthesia information management systems: past, present, and future of anesthesia records. Mt Sinai J Med. 2012;79:154–65.CrossRefPubMed Kadry B, Feaster WW, Macario A, Ehrenfeld JM. Anesthesia information management systems: past, present, and future of anesthesia records. Mt Sinai J Med. 2012;79:154–65.CrossRefPubMed
6.
go back to reference Wilbanks BA, Moss JA, Berner ES. An observational study of the accuracy and completeness of an anesthesia information management system: recommendations for documentation system changes. Comput Inform Nurs. 2013;31:359–67.CrossRefPubMed Wilbanks BA, Moss JA, Berner ES. An observational study of the accuracy and completeness of an anesthesia information management system: recommendations for documentation system changes. Comput Inform Nurs. 2013;31:359–67.CrossRefPubMed
7.
go back to reference Wanderer JP, Rao AV, Rothwell SH, Ehrenfeld JM. Comparing two anesthesia information management system user interfaces: a usability evaluation. Can J Anaesth. 2012;59:1023–31.CrossRefPubMed Wanderer JP, Rao AV, Rothwell SH, Ehrenfeld JM. Comparing two anesthesia information management system user interfaces: a usability evaluation. Can J Anaesth. 2012;59:1023–31.CrossRefPubMed
8.
go back to reference Newell C. Methods and models in demography. New York: The Guilford Press; 1988. Newell C. Methods and models in demography. New York: The Guilford Press; 1988.
9.
go back to reference Lebeau J-P, Pouchain D, Huas D, Wilmart F, Dibao-Dina C, Boutitie F. ESCAPE-ancillary blood pressure measurement study: end-digit preference in blood pressure measurement within a cluster-randomized trial. Blood Press Monit. 2011;16(2):74–9.CrossRefPubMed Lebeau J-P, Pouchain D, Huas D, Wilmart F, Dibao-Dina C, Boutitie F. ESCAPE-ancillary blood pressure measurement study: end-digit preference in blood pressure measurement within a cluster-randomized trial. Blood Press Monit. 2011;16(2):74–9.CrossRefPubMed
10.
go back to reference Myers MG. Replacing manual sphygmomanometers with automated blood pressure measurement in routine clinical practice. Clin Exp Pharmacol Physiol. 2014;41(1):46–53.CrossRefPubMed Myers MG. Replacing manual sphygmomanometers with automated blood pressure measurement in routine clinical practice. Clin Exp Pharmacol Physiol. 2014;41(1):46–53.CrossRefPubMed
11.
go back to reference Keep SL, Locker TE. The impact of a computerised whiteboard system on digit preference bias in the recording of emergency department process times. Eur J Emerg Med. 2012;19(3):177–80.CrossRefPubMed Keep SL, Locker TE. The impact of a computerised whiteboard system on digit preference bias in the recording of emergency department process times. Eur J Emerg Med. 2012;19(3):177–80.CrossRefPubMed
12.
go back to reference Locker TE, Mason SM. Digit preference bias in the recording of emergency department times. Eur J Emerg Med. 2006;13(2):99–101.CrossRefPubMed Locker TE, Mason SM. Digit preference bias in the recording of emergency department times. Eur J Emerg Med. 2006;13(2):99–101.CrossRefPubMed
13.
go back to reference Deal LG, Nyland ME, Gravenstein N, Tighe P. Are anesthesia start and end times randomly distributed? The influence of electronic records. J Clin Anesth. 2014;26:264–70.CrossRefPubMedPubMedCentral Deal LG, Nyland ME, Gravenstein N, Tighe P. Are anesthesia start and end times randomly distributed? The influence of electronic records. J Clin Anesth. 2014;26:264–70.CrossRefPubMedPubMedCentral
Metadata
Title
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
Publication date
01-08-2017
Publisher
Springer Netherlands
Published in
Journal of Clinical Monitoring and Computing / Issue 4/2017
Print ISSN: 1387-1307
Electronic ISSN: 1573-2614
DOI
https://doi.org/10.1007/s10877-016-9893-x

Other articles of this Issue 4/2017

Journal of Clinical Monitoring and Computing 4/2017 Go to the issue