The Vendor–Customer Relationship

  • Stanley Muravchick
Part of the Health Informatics book series (HI)

No off-the-shelf solution exists for electronic anesthesia record keeping and perioperative information management. Every AIMS is installed in a unique environ ment of equipment and hardware, software and network parameters, interconnected databases, and clinical workflow. Every vendor's AIMS, regardless of how highly developed and mature it is at the time of sale, requires reconfiguration and customiza tion to meet the needs of the customer's administrative and clinical end users. Therefore, every AIMS implementation project should have a designated Anesthesia Clinical Leader (ACL)—a clinically experienced physician or certified registered nurse anesthetist, who can accurately anticipate the extent to which the vendor's software must be modified to suit the users and to what extent the users must be asked to change their workflow patterns to accommodate the AIMS software. Assuming that adequate resources have been allocated for technical support of the AIMS, these decisions and the extent to which they are supported and adopted by the other users become the primary determinants of successful AIMS implementation and operation. Continuing cooperation and clear channels of communication between the vendor and the customer are necessary to optimize the“goodness of fit” between the vendor's product and the needs of the customer. Several basic areas that must be considered are discussed in detail in the following sections.


Customer Relationship Computerize Physician Order Entry Anesthesia Record Anesthesia Provider Anesthesia Information Management System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Krol M, Reich DL, Dupont J. Multi-platforms medical computer systems integration. J Med Syst 2005; 29: 259–70PubMedCrossRefGoogle Scholar
  2. 2.
    Quinzio L, Junger A, Gottwald B, et al. User acceptance of an anaesthesia information man agement system. Eur J Anaesthesiol 2003; 20:967–72PubMedCrossRefGoogle Scholar
  3. 3.
    Benson M, Junger A, Fuchs C, et 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; 16:183–90PubMedCrossRefGoogle Scholar
  4. 4.
    Jost A, Junger A, Zickmann B, et al. Potential benefits of Anaesthesia Information Management Systems for multicentre data evaluation: Risk calculation of inotropic support in patients undergoing cardiac surgery. Med Inform Internet Med 2003; 28:7–19PubMedCrossRefGoogle Scholar
  5. 5.
    Spring SF, Sandberg WS, Anupama S, et al. Automated documentation error detection and notification improves anesthesia billing performance. Anesthesiology 2007; 106:157–63PubMedCrossRefGoogle Scholar
  6. 6.
    Vigoda MM, Lubarsky DA. Failure to recognize loss of incoming data in an anesthesia record-keeping system may have increased medical liability. Anesth Analg 2006; 102:1798–802PubMedCrossRefGoogle Scholar
  7. 7.
    Okamura A, Murayama H, Sato N, et al. Automated anesthesia billing by electronic anesthe sia record keeping system. Masui: Jpn J Anesthesiol 1999; 48:903–8Google Scholar
  8. 8.
    Reich DL, Kahn RA, Wax D, et al. Development of a module for point-of-care charge capture and submission using an anesthesia information management system. Anesthesiology 2006; 105:179–86PubMedCrossRefGoogle Scholar
  9. 9.
    Merry AF, Webster CS, Mathew DJ. A new, safety-oriented, integrated drug administration and automated anesthesia record system. Anesth Analg 2001; 93:385–90PubMedCrossRefGoogle Scholar
  10. 10.
    Bicker AA, Gage JS, Poppers PJ. An evolutionary solution to anesthesia automated record keeping. J Clin Monit Comput 1998; 14:421–4PubMedCrossRefGoogle Scholar
  11. 11.
    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; 92:1203–9PubMedCrossRefGoogle Scholar

Copyright information

© Springer-Verlag London Limited 2008

Authors and Affiliations

  • Stanley Muravchick
    • 1
  1. 1.Duke University Medical CenterDurhamUSA

Personalised recommendations