Skip to main content
SpringerLink
Log in
Book cover

Decision Support Systems in Critical Care pp 396–409Cite as

The Future of Computerized Decision Support in Critical Care

  • Chapter

Part of the book series: Computers and Medicine ((C+M))

Abstract

As we write this final chapter, there is a foot of new snow on the ground in R.G.’s backyard in Salt Lake City, and the snow continues to fall. Last night three local television weather forecasters predicted we would only have two inches of snow, and all they had to do was predict one day into the future! With some trepidation, and without the equivalent of weather satellites and 40 years experience with forecasting, the authors will try to predict the future of computers and decision support systems in critical care. Our projections are based on two decades of experience and a generally optimistic outlook. We believe that seven broad areas will determine the pace of the future of computerized decision support in critical care:

  1. 1.

    Human, cultural, and sociological issues relating to how computers will be used in the intensive care unit (ICU).

  2. 2.

    Standardization in medicine and the ability to share medical knowledge will be essential.

  3. 3.

    Expanded medical knowledge will lead to better patient care.

  4. 4.

    Hardware and software will continue to advance at a rapid rate.

  5. 5.

    Data acquisition methods and instrumentation will provide more accurate, timely, and less expensive measurements.

  6. 6.

    Sharing of computer and clinical knowledge in computer form will become common and encouraged by government and the clinical community.

  7. 7.

    Better methods for prognostic decision-making will enable medical practitioners and society to make better ethical decisions about health care.

Prediction is very difficult, especially about the future

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Greenbaum J, Kyng M. Design at Work: Cooperative Design of Computer Systems. Hillsdale, NJ: Lawrence Erlbaum Associates, 1991.

    Google Scholar 

  2. Wield PJ. Design Jet plotter user interface design: Learning the hard way about human interactions. Hewlett-Packard Journal 1992; 43(6): 12.

    Google Scholar 

  3. Shortliffe EH, Barnett GO. Medical data: Their acquisition, storage, and use. In: Medical Informatics: Computer Applications in Health Care. Reading, MA: Addison-Wesley, 1990; pp 37–69.

    Google Scholar 

  4. Humphreys BL, Lindberg DAB. Building a unified medical language system. SCAMC 1989; 13:475–480.

    Google Scholar 

  5. Humphreys BL, Lindberg DAB. The UMLS knowledge sources: Tools for building better user interfaces. SCAMC 1990; 14:121–125.

    Google Scholar 

  6. Huff SM, Warner HR. A comparison of Meta-1 and HELP terms: Implications for clinical data. SCAMC 1990; 14:166–169.

    Google Scholar 

  7. Humphreys BL, Lindberg DAB, Hole WT. Assessing and enhancing the value of the UMLS knowledge sources. SCAMC 1991; 15:78–82.

    Google Scholar 

  8. Masys DR. An evaluation of the source selection elements of the prototype UMLS information source map. SCAMC 1992; 16:295–298.

    Google Scholar 

  9. Chute CG, Yang Y. An evaluation of concept based latent semantic indexing for clinical information retrieval. SCAMC 1992; 16:639–643.

    Google Scholar 

  10. Clayton PD, Pryor TA, Wigertz OB, Hripcsak G. Issues and structures for sharing medical knowledge among decision-making systems: The 1989 Arden Homestead Retreat. SCAMC 1989; 13:116–121.

    Google Scholar 

  11. Clayton PD, Hripcsak, Pryor TA. Emerging standards for medical logic. SCAMC 1990; 14:27–31.

    Google Scholar 

  12. Hripcsak G, Clayton PD, Pryor TA, Haug P, Wigertz OB, Van der lei J. The Arden syntax for medical logic modules. SCAMC 1990; 14:200–204.

    Google Scholar 

  13. Shwe M, Sujansky W, Middleton B. Reuse of knowledge represented in the Arden Syntax. SCAMC 1992; 16:47–51.

    Google Scholar 

  14. Johansson BG, Wigertz OB. An object oriented approach to interpret medical knowledge based on Arden Syntax. SCAMC 1992; 16:52–56.

    Google Scholar 

  15. Bell TE. Annual Review—Technology 1993. IEEE Spectrum 1993; 30(1):24–25.

    Google Scholar 

  16. Comerford R. Technology 1993—PCs and workstations. IEEE Spectrum 1993; 30(l):26–29.

    Google Scholar 

  17. Comerford R. Technology 1993—Software. IEEE Spectrum 1993; 30(1):30–33.

    Article  Google Scholar 

  18. Sarch R. Technology 1993—Data communications. IEEE Spectrum 1993; 30(l):42–44.

    Article  Google Scholar 

  19. Stephenson J. Technology 1993—Medical electronics. IEEE Spectrum 1993; 30(l):76–79.

    Article  Google Scholar 

  20. Eddy DM. Clinical decision making. JAMA 1990: 263:1265–1275.

    Article  PubMed  CAS  Google Scholar 

  21. Eddy DM. Practice policies—guidelines for methods. JAMA 1990; 263:1839–1841.

    Article  PubMed  CAS  Google Scholar 

  22. Eddy DM. Guidelines for policy statements: The explicit approach. JAMA 1990; 263:2239–2243.

    Article  PubMed  CAS  Google Scholar 

  23. Eddy DM. Designing a practice policy—Standards, guidelines, and options. JAMA 1990; 263:3077–3084.

    Article  PubMed  CAS  Google Scholar 

  24. Gallagher TJ. Guidelines for care: The time has come. Crit Care Med 1991; 19:138.

    Article  PubMed  CAS  Google Scholar 

  25. Scholtes PR. The Team Handbook: How To Use Teams To Improve Quality. Madison, WI: Joiner Associates, 1992.

    Google Scholar 

  26. East TD, Morris AH, Wallace CJ, Clemmer TP, Orme JF Jr, Weaver LK, Henderson S, Sittig DF. A strategy for development of computerized critical care decision support systems. Intl J Clin Monit Comput 1992; 8:263–269.

    Article  CAS  Google Scholar 

  27. Guyatt G, et al. Guidelines for the clinical and economic evaluation of Health Care Technologies. Soc Sei Med 1986; 22:393–408.

    Article  CAS  Google Scholar 

  28. Brook RH. Practice guidelines and practicing medicine—Are they compatible? JAMA 1989; 262:3027–3030.

    Article  PubMed  CAS  Google Scholar 

  29. Civetta JM. Critical care: How should we evaluate our progress? Crit Care Med 1992;20:1714–1720.

    Article  PubMed  CAS  Google Scholar 

  30. Loch S, Terry D. Information filtering. Communications of the ACM 1992; 35(12):27–28.

    Google Scholar 

  31. Belkin NJ, Croft WB. Information filtering and information retrieval: Two sides of the same coin? Communications of the ACM 1992; 35(12):29–38.

    Article  Google Scholar 

  32. Loeb S. Architecting personalized delivery of multimedia information. Communications of the ACM 1992; 35(12):39–50.

    Article  Google Scholar 

  33. Foltz PW, Dumais ST. Personalized information delivery: An analysis of information filtering methods. Communications of the ACM 1992; 35(12):51–60.

    Article  Google Scholar 

  34. Goldberg D, Nichols D, Oki BM, Terry D. Using collaborative filtering to weave an information tapestry. Communications of the ACM 1992; 35(12);61–70.

    Article  Google Scholar 

Download references

Authors
  1. Reed M. Gardner
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. M. Michael Shabot
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Cedars-Sinai Medical Center, 90048-1865, Los Angeles, CA, USA

    M. Michael Shabot M.D. (Associate Director of Surgery Director of Surgical Intensive Care Clinical Associate Professor of Surgery and Anesthesiology) (Associate Director of Surgery Director of Surgical Intensive Care Clinical Associate Professor of Surgery and Anesthesiology)

  2. UCLA School of Medicine, 90048, Los Angeles, CA, USA

    M. Michael Shabot M.D. (Associate Director of Surgery Director of Surgical Intensive Care Clinical Associate Professor of Surgery and Anesthesiology) (Associate Director of Surgery Director of Surgical Intensive Care Clinical Associate Professor of Surgery and Anesthesiology)

  3. Medical Computing, LDS Hospital, 84143, Salt Lake City, UT, USA

    Reed M. Gardner Ph.D. (Co-Director Professor of Medical Informatics) (Co-Director Professor of Medical Informatics)

  4. University of Utah, 84112, Salt Lake City, UT, USA

    Reed M. Gardner Ph.D. (Co-Director Professor of Medical Informatics) (Co-Director Professor of Medical Informatics)

Rights and permissions

Reprints and permissions

Copyright information

© 1994 Springer-Verlag New York Inc.

About this chapter

Cite this chapter

Gardner, R.M., Shabot, M.M. (1994). The Future of Computerized Decision Support in Critical Care. In: Shabot, M.M., Gardner, R.M. (eds) Decision Support Systems in Critical Care. Computers and Medicine. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2698-7_25

Download citation

  • DOI: https://doi.org/10.1007/978-1-4612-2698-7_25

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-97799-7

  • Online ISBN: 978-1-4612-2698-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation