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Patient Data Management Systems in Europe — A Comparative Study

  • Chapter
Patient Data Management in Intensive Care

Part of the book series: Intensivmedizinisches Seminar ((INTENSIVM.SEM.,volume 6))

Abstract

The development of new technologies for diagnostic and therapeutic purposes in intensive care combined with the introduction of microprocessor technology has led to an enormous increase in data collection at ICUs [1, 2]. We have already reached a point where the manual handling of these amounts of data is very hard to manage [3]. The comparison of a hospital with a bank [4] by Groom and Harris in 1990 has become famous in this context. To measure the computing demands of a hospital, they looked at the number of transaction performed daily. They found that a hospital with an average census of 300 beds had the same amount of transactions as a state-wide bank with 150 branches. Further they tried to locate the demands of different units. 60% of the computing power, according to Groom and Harris, are needed by data intensive units, such as operating theatres, ICUs and laboratories (Fig. 1).

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Annotations and References

  1. Smith BE (1990) Universities and the clinical monitoring industry: Feckless independents or fruitful partners? Int J Clin Monitoring and Computing 7: 249–258

    Article  CAS  Google Scholar 

  2. Bowes CL, Ambroso C, Carson ER, Chambrin MC, Cramp D, Gilhooly K, et al (1992) INFORM: Development of information management and decision support systems for High Dependency Environments. Int J Clin Monitoring and Computing 8: 295–301

    Article  CAS  Google Scholar 

  3. Kalli S, Ambroso C, Gregory R, Heikelä A, Ilomäki A, Leaning M, et al (1992) Inform: Conceptual modelling of intensive care information systems. Int J Clin Monitoring and Computing 9: 85–94

    Article  CAS  Google Scholar 

  4. Groom DA, Harris JW (1990) Evaluation and selection of systems for automatic clinical operations. Biomedical Instrumentation & Technology May/June: 173–185

    Google Scholar 

  5. Ambroso C, Bowes C, Chambrin MC, Gilhooly K, Green C, Kari A, et al (1992) INFORM: European survey of computers in Intensive Care Units. Int J Clin Monitoring and Computing 9: 53–61

    Article  CAS  Google Scholar 

  6. Leaning MS, Yates CE, Patterson DLH, Ambroso C, Collinson PO, Kalli ST (1991) A data model for intensive care. Int J Clin Monitoring and Computing 8: 213–224

    Article  CAS  Google Scholar 

  7. Shabot M (1989) Clinical systems as a focal point for distributed patient data. The Impact of Information Systems on Critical Care: A Look into the Future. Hewlett Packard, pp. 9–13

    Google Scholar 

  8. Imhoff M, Piotrowski A, Reuß M (1992) Klinischer Einsatz eines Unix-basierten Klinischen Informationssystems für die Intensivmedizin. Biomedical Journal 34: 8–12

    Google Scholar 

  9. See ref. [4]

    Google Scholar 

  10. See ref. [6]

    Google Scholar 

  11. Clinisoft

    Google Scholar 

  12. GUI: Graphical User Interface, like MS Windows, or X-Windows or Apple’s System 7

    Google Scholar 

  13. If you are interested in that, contact e.g. Dr. Pollwein, Munich

    Google Scholar 

  14. See also the paper of Martin et al. in this book

    Google Scholar 

  15. MPEG: Motion Picture Expert Group; for further information see informatic issues, e.g.: Bertuch M (1993) Living bits on disc. CT, Magazin für Computer und Technologie 7: 118–120

    Google Scholar 

  16. Nathe M (1992) Communication Standards. Proceeding of the 3rd Annual Meeting of the ESCTAIC, October 1992, p. X1

    Google Scholar 

  17. Iaccobucci E (1989) Das OS/2 Buch. McGraw-Hill, New York

    Google Scholar 

  18. LAN: Local Area Network

    Google Scholar 

  19. See also chapter 4

    Google Scholar 

  20. UPS: Uninterruptable Power Supply

    Google Scholar 

  21. Paganelli BE (1989) Criteria for the Selection of a Beside Information System for Acute Care Units. Computers in Nursing 7: 214–221

    CAS  PubMed  Google Scholar 

  22. File server: a central computer in a network which holds the main-database

    Google Scholar 

  23. Backup: copying your data to a (hopefully) secure place, e.g. an optical disc

    Google Scholar 

  24. Graphical user interface for UNIX

    Google Scholar 

  25. MT: Medical-Technical Devices

    Google Scholar 

  26. This system provides limited possibility to display sections in graphic format: it is possible to configure six different screens with any combination of measured values

    Google Scholar 

  27. In this system, all value displays are graphical displays

    Google Scholar 

  28. No ventilators connected to this test-site until now

    Google Scholar 

  29. To process medications, care-activities etc., you must buy the module I.N.C.A., which provides full PDMS-functionality in combination with the Atlantis system

    Google Scholar 

  30. At entering a medication

    Google Scholar 

  31. At entering a medication

    Google Scholar 

  32. Usual in American systems: after selecting a care-diagnosis there is a set of care-activities automatically generated, a so called care-plan; it can be edited if needed

    Google Scholar 

  33. Graphical display of the human body, which gives the nurses the possibility to select and mark different points with an input device, e.g. a mouse, and to describe the condition of the patient; this should simulate the situation as given in written documentation

    Google Scholar 

  34. When producing a transfer report e.g.

    Google Scholar 

  35. At this ward an external reporting-program was configured; if you don’t have programming-engineers available it is recommendable to buy the module “Hospiprint”, which acts as a print-server module. With this module you can configure any report you need

    Google Scholar 

  36. With module Hospiimage

    Google Scholar 

  37. But 24 -hours storage at HP-Merlin monitors; from there, the data can be taken

    Google Scholar 

  38. Until the database becomes full; then the oldest patient data are deleted

    Google Scholar 

  39. You can convert the ASCII-data-sets into any database

    Google Scholar 

  40. These marks the possibility to display some valuable information during recording data; e.g. as you enter the prescribed cardiovascular medications, you would maybe like to see the trend of the HR and MAP of the last hours; systems with a “yes” have the ability to display such additional information in a window;

    Google Scholar 

  41. I.N.C.A.: Integrated Nursing Care Applications

    Google Scholar 

  42. CAREVUE, ATLANTIS and at the moment: CLINISOFT

    Google Scholar 

  43. See also the paper of Wilding later in this book

    Google Scholar 

  44. EURISIC: European Users Requirements for an Information System for Intensive Care

    Google Scholar 

  45. Clemmer T, Gardner RM (1992) Medical informatics in the intensive care unit: State of the art 1991. Int J Clin Monitoring and Computing 8: 237–250

    Article  CAS  Google Scholar 

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Authors and Affiliations

  1. Department of Inner Medicine IV, Intensive Care Unit, University of Vienna, Austria

    P. G. H. Metnitz & K. Lenz

Authors
  1. P. G. H. Metnitz
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  2. K. Lenz
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Editors and Affiliations

  1. Department of Inner Medicine IV, University of Vienna, ICU 13H1, Währinger Gürtel 18-20, A-1090, Vienna, Wien, Austria

    Kurt Lenz  & Philipp G. H. Metnitz  & 

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© 1993 Springer-Verlag/Wien

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Metnitz, P.G.H., Lenz, K. (1993). Patient Data Management Systems in Europe — A Comparative Study. In: Lenz, K., Metnitz, P.G.H. (eds) Patient Data Management in Intensive Care. Intensivmedizinisches Seminar, vol 6. Springer, Vienna. https://doi.org/10.1007/978-3-7091-9320-4_1

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  • DOI: https://doi.org/10.1007/978-3-7091-9320-4_1

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-82513-6

  • Online ISBN: 978-3-7091-9320-4

  • eBook Packages: Springer Book Archive

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