Literature DB >> 3339390

Automated charting of physiological variables in anesthesia: a quantitative comparison of automated versus handwritten anesthesia records.

J G Lerou1, R Dirksen, M van Daele, G M Nijhuis, J F Crul.   

Abstract

Eight physiological variables--tidal volume, breathing rate, end-tidal carbon dioxide fraction, oxygen fraction in the anesthetic circuit, oxygen saturation by pulse oximetry, systolic and diastolic blood pressure, and heart rate--recorded on-line by a commercially available automated system were compared with the same variables recorded on handwritten anesthesia records. We quantified the differences between the automated and handwritten records generated from the same 30 patients (2,412 minutes of general anesthesia for elective eye surgical procedures). Considering the design of the study, we claim that the differences between both records were caused by the incompleteness or inaccuracy of the handwritten records, except in two instances. The amounts of missing or erroneous data for these eight physiological variables were expressed as fraction ("error fractions") of the time being recorded, designated EFm and EFe, respectively. For the first five variables the EFm on the handwritten records ranged between 0.23 and 0.31, and the EFe ranged between 0.01 and 0.06. For the last three variables the EFm range was 0.08 to 0.13, and the EFe range was 0.05 to 0.11. Most of these missing or erroneous data occurred during the period of induction (first 15 minutes) and at the end of the case (last 10 minutes). The EFm and EFe during induction had increased to 0.62 and 0.26, respectively, and to 0.76 and 0.06, respectively, at the end of the case. Erroneous data were observed on the automated records for the tidal volume during induction (EFe = 0.0044) and for the oxygen fraction during maintenance (EFe = 0.0024). The effect of averaging by the recordkeeper is discussed. The results of this study indicate the clinical relevance of automated record keeping.

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Year:  1988        PMID: 3339390     DOI: 10.1007/bf01618106

Source DB:  PubMed          Journal:  J Clin Monit        ISSN: 0748-1977


  7 in total

1.  The clinical use of the Ohmeda Automated Anesthesia Record Keeper integrated in the Modulus II Anesthesia System. A preliminary report.

Authors:  R Dirksen; J G Lerou; M van Daele; G M Nijhuis; J F Crul
Journal:  Int J Clin Monit Comput       Date:  1987

2.  On computerized anesthesia records.

Authors:  A S Rosen; W Rosenzweig
Journal:  Anesthesiology       Date:  1986-07       Impact factor: 7.892

3.  Do not fear computerized anesthesia records.

Authors:  A J Sarnat
Journal:  Anesthesiology       Date:  1986-07       Impact factor: 7.892

4.  Computerized anesthesia records may be dangerous.

Authors:  T A Noel
Journal:  Anesthesiology       Date:  1986-02       Impact factor: 7.892

5.  Man-made versus computer-generated anesthesia records.

Authors:  R M Zollinger; J F Kreul; A J Schneider
Journal:  J Surg Res       Date:  1977-04       Impact factor: 2.192

6.  Ulnar nerve palsy possibly related to use of automatically cycled blood pressure cuff.

Authors:  W P Sy
Journal:  Anesth Analg       Date:  1981-09       Impact factor: 5.108

7.  An analysis of major errors and equipment failures in anesthesia management: considerations for prevention and detection.

Authors:  J B Cooper; R S Newbower; R J Kitz
Journal:  Anesthesiology       Date:  1984-01       Impact factor: 7.892

  7 in total
  17 in total

1.  Real-time pulse oximetry artifact annotation on computerized anaesthetic records.

Authors:  Richard Karl Gostt; Graeme Dennis Rathbone; Adam Paul Tucker
Journal:  J Clin Monit Comput       Date:  2002 Apr-May       Impact factor: 2.502

2.  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

3.  Evaluation of CoViSTA - an automated vital sign documentation system - in an inpatient hospital setting.

Authors:  M Arora; N Falsafi; M Al-Ibrahim; R Sawyer; E Siegel; A Joshi; J Finkelstein
Journal:  AMIA Annu Symp Proc       Date:  2005

4.  Normal fluctuation of physiologic cardiovascular variables during anesthesia and the phenomenon of "smoothing".

Authors:  F E Block
Journal:  J Clin Monit       Date:  1991-04

5.  Computerization of anesthesia information management--users' perspective.

Authors:  D W Edsall
Journal:  J Clin Monit       Date:  1991-10

6.  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

7.  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

8.  A case of malignant hyperthermia captured by an anesthesia information management system.

Authors:  Michael D Maile; Rajesh A Patel; James M Blum; Kevin K Tremper
Journal:  J Clin Monit Comput       Date:  2011-06-03       Impact factor: 2.502

9.  Anesthesia Information Management Systems in the Czech Republic from the Perspective of Early Adopters.

Authors:  Jan Bruthans
Journal:  J Med Syst       Date:  2020-02-19       Impact factor: 4.460

10.  Representative charting of vital signs in an intensive care unit.

Authors:  T A Oniki; T P Clemmer; R M Gardner; K V Johnson
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1994
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