An Anesthesia Information Management System (AIMS) as a Tool for Controlling Resource Management of Operating Rooms

Summary

Objectives: In our department, we have been using an Anesthesia Information Management System (AIMS) for five years. In this study, we tested to what extent data extracted from the AIMS could be suitable for the supervision and time-management of operating rooms.

Methods: From 1995 to 1999, all relevant data from 103,264 anesthetic procedures were routinely recorded online with the automatic anesthesia record keeping system NarkoData. The program is designed to record patient related time data, such as the beginning of anesthesia or surgical procedure, on a graphical anesthesia record sheet. The total number of minutes of surgery and anesthesia for each surgical subspecialty per hour/day and day of the year was calculated for each of the more than 40 ORs, amounting to a total of 112 workstations.

Results: It was possible to analyze the usage and the utilization of ORs at the hospital for each day of the year since 1997. In addition, annual and monthly evaluations are made available. It is possible to scrutinize data of OR usage from different points of view: queries on the usage of an individual OR, the usage of ORs on certain days or the usage of ORs by a certain surgical subspecialty may be formulated. These data has been used repeatedly in our hospital for decision making in OR management and planning. Conclusions: In assessing the results of our study, it should be considered that the system used is not a specialized OR management tool. Despite these restrictions, the system contains data which can be used for an exact and relevant presentation of OR utilization

Keywords

Financial management - hospital - medical records systems - computerized - operating room information systems - operating room

• References

• 1 Epstein AM. US teaching hospitals in the evolving health care system. JAMA 1995; 273: 1203-7.
• 2 Redelmeier DA, Fuchs VR. Hospital expenditures in the United States and Canada. N Engl J Med 1993; 328: 772-8.
• 3 DeRiso B, Cantees K, Watkins WD. The operating rooms: cost center management in a managed care environment. Int Anesthesiol Clin 1995; 33: 133-50.
• 4 Goldman J, Knappenberger HA, Shearon WT. A study of the variability of surgical estimates. Hosp Manage 1970; 110: 46.
• 5 Benson M, Fuchs C, Junger A, Quinzio L, Sciuk G, Hempelmann G. Dokumentation und Qualitätssicherung in der Anästhesie. Anästhesiol Intensivmed Notfallmed Schmerzther 1999; 34: 415-37.
• 6 Eichhorm JH, Edsall DW. Computerization of anesthesia information management. J Clin Monit 1991; 7: 71-82.
• 7 Edsall DW. Computerization of anesthesia information management-users’ perspective. J Clin Monit 1991; 7: 351-8.
• 8 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.
• 9 DGAI-Kommission »Qualitätssicherung und Datenverarbeitung in der Anästhesie«.. Kern-datensatz Qualitätssicherung in der Anästhesie. Anästh Intensivmed 1993; 34: 331-5.
• 10 Strum DP, Vargas LG, May JH. Surgical subspecialty block utilization and capacity planning: a minimal cost analysis model. Anesthesiology 1999; 90: 1176-85.
• 11 Mazzei WJ. Maximizing operating room utilization: a landmark study. Anesth Analg 1999; 89: 1-2.