Hostname: page-component-8448b6f56d-qsmjn Total loading time: 0 Render date: 2024-04-25T00:26:21.434Z Has data issue: false hasContentIssue false
  • English
  • Français

The implementation of an anesthesia information management system

Published online by Cambridge University Press:  19 June 2006

A. Eden ,
M. Grach ,
Z. Goldik ,
I. Shnaider ,
H. Lazarovici ,
O. Barnett-Griness ,
A. Perel  and
R. Pizov
A. Eden
Affiliation:
Lady Davis Carmel Medical Center, Department of Anesthesiology and Critical Care Medicine, Haifa, Israel
M. Grach
Affiliation:
Lady Davis Carmel Medical Center, Department of Anesthesiology and Critical Care Medicine, Haifa, Israel
Z. Goldik
Affiliation:
Lady Davis Carmel Medical Center, Department of Anesthesiology and Critical Care Medicine, Haifa, Israel
I. Shnaider
Affiliation:
Lady Davis Carmel Medical Center, Department of Anesthesiology and Critical Care Medicine, Haifa, Israel
H. Lazarovici
Affiliation:
Lady Davis Carmel Medical Center, Department of Anesthesiology and Critical Care Medicine, Haifa, Israel
O. Barnett-Griness
Affiliation:
Lady Davis Carmel Medical Center, Department of Community Medicine and Epidemiology, Haifa, Israel
A. Perel
Affiliation:
Sheba Medical Center, Department of Anesthesiology and Intensive Care, Tel-Hashomer, Israel
R. Pizov
Affiliation:
Lady Davis Carmel Medical Center, Department of Anesthesiology and Critical Care Medicine, Haifa, Israel
Get access

Abstract

Summary

Background and objective: Anaesthesia information management systems, though still not used widely, will inevitably replace handwritten records and may eventually serve as a core for the development of computerized decision support. We investigated staff expectations and the accuracy of data entry in a recently implemented commercially available anaesthesia information management system. Methods: A structured questionnaire was administered to the staff before and 1 week and 3 months after implementation in order to assess their opinion. The quality of manual data entry, and of automatic data record was evaluated by looking for missing data and the prevalence of artefacts. Results: Despite initial fears the users quickly accepted the system. Both automatic and manual data entry were found to be accurate and reliable while the prevalence of artefacts was relatively low. Conclusions: A commercially available anaesthesia information management system can be easily implemented and used instead of paper charts.

Keywords

EDUCATIONANAESTHESIOLOGYINFORMATION SYSTEMS, anaesthesia, operating roomsMEDICAL RECORD SYSTEMS, COMPUTERIZED
Type
Original Article
Information
European Journal of Anaesthesiology , Volume 23 , Issue 10 , October 2006 , pp. 882 - 889
Copyright
2006 European Society of Anaesthesiology

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Benson M, Junger A, Quinzio Let al. Influence of the method of data collection on the documentation of blood-pressure readings with an anesthesia information management system (AIMS). Methods Inf Med 2001; 40: 190–195.Google Scholar
Reich D, Wood Rj, Mattar Ret al. Arterial blood pressure and heart rate discrepancies between handwritten and computerized anesthesia records. Anesth Analg 2000; 91: 612–616.Google Scholar
Allard J, Dzwonczyk R, Yablok Det al. Effect of automatic record keeping on vigilance and record keeping time. Br J Anaesth 1995; 74: 619–626.Google Scholar
Edsall DW, Deshane P, Giles Cet al. Computerized patient anesthesia records: less time and better quality than manually produced anesthesia records. J Clin Anesth 1993; 5: 275–283.Google Scholar
Edsall DW. Quality assessment with a computerized anesthesia information management system (AIMS). QRB Qual Rev Bull 1991; 17 (6): 182–193.Google Scholar
Benson M, Junger A, Fuchs Cet al. Use of an anesthesia information management system (AIMS) to evaluate the physiologic effects of hypnotic agents used to induce anesthesia. J Clin Monit Comput 2000; 16: 183–190.Google Scholar
Vigoda M, Gencorelli F, Lin Set al. Anesthesia information systems helps identify missed opportunities for perioperative beta blockade. Anesthesiology 2004; 101: A1378.Google Scholar
Benson M, Junger A, Michel Aet al. Comparison of manual and automated documentation of adverse events with an anesthesia information management system (AIMS). Stud Health Technol Inform 2000; 77: 925–929.Google Scholar
O'Reilly M, AkkeNeel T, VanRiper S. Using an anesthesia information system to provide physician specific feedback to improve timely administration of prophylactic antibiotics. Anesthesiology 2004; 101: A1383.Google Scholar
Junger A, Hartmann B, Benson M, et al. The use of an anesthesia information management system for prediction of antiemetic rescue treatment at the postanesthesia care unit. Anesth Analg 2001; 92: 1203–1209.Google Scholar
Lubarsky DA, Sanderson IC, Gilbert WCet al. Using an anesthesia information management system as a cost containment tool. Description and validation. Anesthesiology 1997; 86: 1161–1169.Google Scholar
Coleman RL, Sanderson IC, Lubarsky DA. Anesthesia information management systems as a cost containment tool. Crna 1997; 8: 77–83.Google Scholar
Feldman J. Do anesthesia information systems increase malpractice exposure? Results of a survey. Anesth Analg 2004; 99: 840–843.Google Scholar
Coleman RL, Stanley III T, Gilbert WCet al. The implementation and acceptance of an intra-operative anesthesia information management system. J Clin Monit 1997; 13: 121–128.Google Scholar
Quinzio L, Junger A, Gottwald Bet al. User acceptance of an anesthesia information management system. Eur J Anaesthesiol 2003; 20: 967–972.Google Scholar
Benson M, Junger A, Quinzio Let al. Clinical and practical requirements of online software for anesthesia documentation an experience report. Int J Med Inform 2000; 57: 155–164.Google Scholar
Cook RI, McDonald JS, Nunziata E. Differences between handwritten and automatic blood pressure records. Anesthesiology 1989; 71: 385–390.Google Scholar
Benson M, Junger A, Quinzio Let al. Data processing at the anesthesia workstation: from data entry to data presentation. Methods Inf Med 2000; 39: 319–324.Google Scholar