Download PDF
Methods Inf Med 2001; 40(03): 190-195
DOI: 10.1055/s-0038-1634166
Original Article
Schattauer GmbH

Influence of the Method of Data Collection on the Documentation of Blood-pressure Readings with an Anesthesia Information Management System (AIMS)

M. Benson
1   Department of Anaesthesiology and Intensive Care Medicine, Justus-Liebig-University Giessen, Germany
,
A. Junger
1   Department of Anaesthesiology and Intensive Care Medicine, Justus-Liebig-University Giessen, Germany
,
L. Quinzio
1   Department of Anaesthesiology and Intensive Care Medicine, Justus-Liebig-University Giessen, Germany
,
C. Fuchs
1   Department of Anaesthesiology and Intensive Care Medicine, Justus-Liebig-University Giessen, Germany
,
A. Michel
2   Department of Medical and Administrative Data Processing, Justus-Liebig-University Giessen, Germany
,
G. Sciuk
1   Department of Anaesthesiology and Intensive Care Medicine, Justus-Liebig-University Giessen, Germany
,
K. Marquardt
2   Department of Medical and Administrative Data Processing, Justus-Liebig-University Giessen, Germany
,
J. Dudeck
3   Department of Medical Informatics, Justus-Liebig-University Giessen, Germany
,
G. Hempelmann
1   Department of Anaesthesiology and Intensive Care Medicine, Justus-Liebig-University Giessen, Germany
› Author Affiliations
Further Information

Publication History

Publication Date:
07 February 2018 (online)

    Permissions and Reprints

Abstract:

The influence of methods for record keeping on the documentation of vital signs was assessed for the Anesthesia Information Management System (AIMS) NarkoData. We compared manually entered blood-pressure readings with automatically collected data. These data were stored in a database and subsequently evaluated and analyzed. The data sets were split into two groups, ”manual“ and ”automatic“. We evaluated the effect of automatic data collection on the incidence of corrected data, data validity and data variation. Blood-pressure readings of 37,726 data sets were analyzed. We could assess that the method of documentation did influence the data quality. It could not be assessed whether the incorrectness of data during automatic data gathering was caused by artefacts or by the anesthesiologist.

Keywords:

Automatic Record Keeping - Anesthesia Information Management System - Documentation - Quality Assurance
 

  • REFERENCES

  • 1 Sanborn KV, Castro J, Kuroda M, Thys DM. Detection of intraoperative incidents by electronic scanning of computerized anesthesia records. Comparison with voluntary reporting. Anesthesiology 1996; 85: 977-87.
    CrossrefPubMedGoogle Scholar
  • 2 Edsall DW, Deshane P, Giles C, Dick D, Sloan B, Farrow J. Computerized patient anesthesia records: less time and better quality than manually produced anesthesia records. J Clin Anesth 1993; 5: 275-83.
    CrossrefPubMedGoogle Scholar
  • 3 Block FEJ. Normal fluctuation of physiologic cardiovascular variables during anesthesia and the phenomenon of “smoothing”. J Clin Monit 1991; 7: 141-5.
    CrossrefPubMedGoogle Scholar
  • 4 Benson M, Junger A, Quinzio L, Jost A, Hempelmann G. Statistiken und Auswertungen mit einer grafischen SQL-Oberfläche im Rahmen eines Anästhesie-Informations-Management-Systems (AIMS). Anästhesiologie in Intensivmedizin, Notfallmedizin und Schmerztherapie 1999; 34: 24-32.
    PubMedGoogle Scholar
  • 5 Benson M, Junger A, Quinzio L, Michel A, Marquardt K, Hempelmann G. Erfahrungsbericht über drei Jahre Routinebetrieb eines Anästhesie-Informations-Management-Systems (AIMS) am Universitätsklinikum Gießen. Anästhesiol Intensivmed Notfallmed Schmerzther 1999; 34: 17-23.
    Article in Thieme ConnectPubMedGoogle Scholar
  • 6 Smith N, Gravenstein J. Manual and automated anesthesia information management systems. In: Saidman L, Smith N. eds. Monitoring in Anesthesia. Boston: ButterworthHeinemann; 1993: 457-74.
    Google Scholar
  • 7 Benson M, Fuchs C, Junger A, Quinzio L, Sciuk G, Hempelmann G. Dokumentation und Qualitätssicherung in der Anästhesie. Anästhesiologie in Intensivmedizin, Notfallmedizin und Schmerztherapie 1999; 34: 415-37.
    PubMedGoogle Scholar
  • 8 Petry A. On-line Aufzeichnung von Monitordaten, Das Artefaktproblem. Anaesthesist 1995; 44: 818-25.
    CrossrefPubMedGoogle Scholar
  • 9 DGAI-Kommission »Qualitätssicherung und Datenverarbeitung in der Anästhesie«, Kerndatensatz Qualitätssicherung in der Anästhesie. Anästhesiologie in Intensivmedizin 1993; 34: 331-5.
    PubMedGoogle Scholar
  • 10 Edsall DW, Jones BR, Smith NT. The anesthesia database, the automated record, and the quality assurance process. Int Anesthesiol Clin 1992; 30: 71-92.
    CrossrefPubMedGoogle Scholar
  • 11 Osswald PM. Grundvorstellungen über die Datendokumentation während der Anaesthesie. Anaesthesist 1987; 36: 47-54.
    PubMedGoogle Scholar
  • 12 Heinrichs W, Monk S, Eberle B. Automatische Anasthesieprotokollsysteme. Anaesthesist 1997; 46: 574-82.
    CrossrefPubMedGoogle Scholar
  • 13 Cook RI, McDonald JS, Nunziata E. Differences between handwritten and automatic blood-pressure records. Anesthesiology 1989; 71: 385-90.
    CrossrefPubMedGoogle Scholar
  • 14 Lerou JG, Dirksen R, van DM, Nijhuis GM, Crul JF. Automated charting of physiological variables in anesthesia: a quantitative comparison of automated versus handwritten anesthesia records. J Clin Monit 1988; 4: 37-47.
    CrossrefPubMedGoogle Scholar
  • 15 Over DC, Pace NA, Shearer VE, White PF, Giesecke AH. Clinical audit of anaesthesia practice and adverse peri-operative events at Parkland Memorial Hospital, Dallas, Texas. Eur J Anaesthesiol 1994; 11: 231-5.
    PubMedGoogle Scholar
  • 16 Junger A, Benson M, Quinzio L. et al. Qualitätsdokumentation mit einem AnästhesieInformations-Management-System (AIMS). Anaesthesist 1999; 48: 523-32.
    CrossrefPubMedGoogle Scholar
  • 17 Edsall DW, Deshane PD, Gould NJ, Mehta Z, White SP, Solod E. Elusive artifact and cost issues with computerized patient records for anesthesia (CPRA). Anesthesiology 1997; 87: 721-2.
    CrossrefPubMedGoogle Scholar