Methods Inf Med 2000; 39(04/05): 319-324
DOI: 10.1055/s-0038-1634450
Original Article
Schattauer GmbH

Data Processing at the Anesthesia Workstation: from Data Entry to Data Presentation

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

Publication History

Publication Date:
08 February 2018 (online)

Abstract:

Main requirements for an Anesthesia Information Management System (AIMS) are the supply of additional information for the anesthesiologist at his workstation and complete documentation of the anesthetic procedure. With the implementation of an AIMS (NarkoData) and effective user support, the quality of documentation and the information flow at the anesthesia workstation could be increased. Today, more than 20,000 anesthesia procedures are annually recorded with the AIMS at 112 decentralized workstations. The network for data entry and the presentation and evaluation of data, statistics and results directly available at the clinical workstation was made operational.

 
  • REFERENCES

  • 1 Bach A, Bauer M. Ökonomische Aspekte in der Anästhesie. Anästhesiol Intensivmed Notfallmed Schmerzther 1998; 33: 135-49.
  • 2 Lubarsky DA, Sanderson IC, Gilbert WC, King KP, Ginsberg B, Dear GD, Coleman RL, Pafford TD, Reves JG. Using an anesthesia information management system as a cost containment tool: Description and validation. Anesthesiology 1997; 86: 1161-9.
  • 3 Opderbecke HW, Weißauer W. Eine Empfehlung zur einheitlichen Protokollierung von Anästhesieverfahren. Anaesth Intensivmed 1989; 30: 189.
  • 4 Zbinden AM, Rothenbühler H, Häberli B. Datenerfassung in der Anästhesie. Anaesthesist 1997; 46: 496-503.
  • 5 Sanborn KV, Castro J, Kuroda M, Thys DM. Detection of intraoperative incidents by electronic scanning of computerized anesthesia records. Anesthesiology 1996; 85: 977-87.
  • 6 DGAI-Kommission “Qualitätssicherung und Datenverarbeitung in der Anästhesie”.. Kerndatensatz Qualitätssicherung in der Anästhesie. Anästh Intensivmed 1993; 34: 331-5.
  • 7 Hohenloser JH, Pürner F. PADS (Patient Archiving and Documentation System): A computerized patient record with educational aspects. Int J Clin Monit Comput 1992; 9: 71-84.
  • 8 Apin M, Martin J, Messelken M, Hiller J, Milewski P. Modulare Entwicklung eines Patientendatenmanagementsystems für eine operative Intensivstation. Anästhesiol Intensivmed Notfallmed Schmerzther 1997; 32: 369-71.
  • 9 Kari L, Ruokonen E, Takala J. Comparison of acceptance and performance of automated and manual data management systems in intensive care. Int J Clin Monit Comput 1990; 7: 157-62.
  • 10 Langenberg CJ. Implementation of an electronic patient data management system (PDMS) on an intensive care unit (ICU). Int J Biomed Comput 1996; 42: 97-101.
  • 11 Metnitz PG, Lenz K. Patient data management system in intensive care – the situation in Europe. Intensive Care Med 1995; 21: 703-15.
  • 12 Urschitz M, Lorenz S, Unterasinger L, Metnitz P, Preyer K, Popow C. Three years experience with a patient data management system at a neonatal intensive care unit. J Clin Monit 1998; 14: 119-25.
  • 13 Wehrle A, Bleicher W, Fretschner R, Schlaich A, Läuger C, Ulmer D. EDVgestütztes Datenmanagement auf der Intensivstation – Akzeptanz und Konsequenzen. Anästhesiol Intensivmed 1996; 37: 636-41.
  • 14 Block FE, Reynolds KM, McDonald JS. The diatek arkive “organizer” patient information management system: experience at a university hospital. J Clin Monit 1998; 14: 89-94.
  • 15 Eichhorn JH, Edsall DW. Computerization of anesthesia information management. Int J Clin Monit Comput 1991; 7: 71-4.
  • 16 Lanza V. Automatic record keeping in anaesthesia – a nine-year Italian experience. Int J Clin Monit Comput 1996; 13: 35-43.
  • 17 Garge JS, Subramanian S, Dydro JF, Poppers PJ. Automated anesthesia surgery medical record system. Int J Clin Monit Comput 1990; 7: 259-63.
  • 18 Sainsbury DA. An object-oriented approach to data display and storage: 3 years experience, 25.000 cases. Int J Clin Monit Comput 1993; 10: 225-33.
  • 19 Welte B. Die nackte (Kosten-) Wahrheit. Computerworld 1996; 3: 2.
  • 20 Allard J, Dzwonezyk R, Yablok D, Block FE, McDonald JS. Effect of automatic record keeping on vigilance and record keeping time. Br J Anaesth 1995; 74: 619-26.
  • 21 Gardner RM, Prakash O. Challenges and opportunities for computerizing the anesthesia record. J Clin Anesth 1994; 6: 333-41.
  • 22 Lerou JGC, Dirksen R, van Daele M, Nghurs GMM. Automated charting of physiological data variables in anesthesia: a quantitative comparison of automated versus hand-written anesthesia records. J Clin Monit 1988; 4: 37-47.
  • 23 Edsall DW, Deshane P, Giles C, Sloan B. Computerized patient anesthesia records: Less time and better quality than manually produced anesthesia records. J Clin Anesth 1993; 5: 275-83.
  • 24 Thrush DN. Are automated anaesthesia records better?. J Clin Anesth 1992; 4: 386-9.
  • 25 Wang X, Gardner RM, Seager PR. Integrating computerized anesthesia charting into a hospital information system. Int J Clin Monit Comput 1995; 12: 61-70.
  • 26 Loeb RG. Manual record keeping is not necessary for anesthesia vigilance. J Clin Monit 1995; 11: 9-13.