Skip to main content

The Effects of Timing and Collaboration on Dependability in the Neonatal Intensive Care Unit

  • Conference paper
Constituents of Modern System-safety Thinking

Abstract

Computer-based systems are now routinely deployed in many complex dynamic domains, such as aviation and industrial process control. The critical nature of these systems means that their operators rely on them to do the right thing at the right time when called upon. In other words, they are expected to have a high level of what Laprie (1995) defines as dependability. To date dependability research has largely focused on developing techniques for improving the dependability of hardware and software in safety critical applications (e.g., Leveson, 1995). Dependability, however, is a property of the whole socio-technical system: people, computers and context. It is therefore important not only to understand these components, but also how the interactions between them affect dependability.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Alberdi, E., Becher, J.-C, Gilhooly, K., Hunter, J., Logie, R., Lyon, A., McIntosh, N., & Reiss, J. (2001). Expertise and the interpretation of computerised physiological data: Implications for the design of medical decision support in neonatal intensive care. International Journal of Human-Computer Systems, 55(3), 191–216.

    Article  MATH  Google Scholar 

  • Baecker, R. M., & Buxton, W. A. S. (Eds.). (1987). Readings in human-computer interaction: A multidisciplinary approach. Palo Alto, CA: Morgan Kaufmann.

    Google Scholar 

  • Baecker, R. M., Grudin, J., Buxton, W. A. S., & Greenberg, S. (Eds.). (1995). Readings in human-computer interaction: Toward the year 2000. Los Altos, CA: Morgan Kaufmann.

    Google Scholar 

  • Bardram, J. E. (1998). Designing for the dynamics of cooperative work activities, Proceedings of the 1998 ACM conference on computer supported cooperative work (pp. 89–98). Seattle, WA: ACM Press.

    Chapter  Google Scholar 

  • Bartholomew, K., Newell, S., Dear, P., & Brownlee, K. (1994). Babylog 8000-Flow wave and volume monitoring. Lübeck, Germany: Drägerwerk AG.

    Google Scholar 

  • Baxter, G. D., Monk, A. F., Tan, K., Dear, P. R. F., & Newell, S. J. (Submitted). Using cognitive task analysis to identify requirements for the successful deployment of decision support systems in neonatal intensive care. Manuscript submitted for publication.

    Google Scholar 

  • Berg, M. (2001). Implementing information systems in health care organizations: myths and challenges. International Journal of Medical Informatics, 64, 143–156.

    Article  Google Scholar 

  • Coiera, E. (1999). The impact of culture on technology: How do we create a clinical culture of innovation? Medical Journal of Australia, 171, 508–9.

    Google Scholar 

  • Coiera, E., & Toombs, V. (1998). Communication behaviours in a hospital setting: an observational study. BMJ, 316, 673–676.

    Google Scholar 

  • Combi, C, & Shuhar, Y. (1997). Temporal reasoning and temporal data maintenance in medicine: Issues and challenges. Computers in Biology and Medicine, 27(5), 353–368.

    Article  Google Scholar 

  • Dewsbury, G., Sommerville, I., Clarke, K., & Rouncefield, M. (2003). A dependability model for domestic systems, Proceedings of 22nd International Conference on Computer Safety, Reliability and Security (SAFECOMP’03). Heidelberg, Germany: Springer-Verlag.

    Google Scholar 

  • Hutchins, E. (1995). Cognition in the wild. Cambridge, MA: MIT Press.

    Google Scholar 

  • Johnson, C, & Gray, P. (1996). Temporal aspects of usability. SigCHI Bulletin, 28(2), 32–33.

    Article  Google Scholar 

  • Klein, G., Calderwood, R., & MacGregor, D. (1989). Critical decision method for eliciting knowledge. IEEE Transactions on System, Man, and Cybernetics, 19, 462–472.

    Article  Google Scholar 

  • Laprie, J.-C. (1995). Dependable computing: Concepts, limits, challenges. Paper presented at the 25th IEEE International symposium on fault-tolerant computing, Pasadena, CA.

    Google Scholar 

  • Leveson, N. (1995). Safeware: System safety and computers. Reading, MA: Addison-Wesley.

    Google Scholar 

  • Miksch, S., Seyfang, A., Horn, W., & Popow, C. (1999). Abstracting steady qualitative descriptions over time from noisy, high-frequency data. In W. Horn, Y. Shuhar, G. Lindberg, S. Andreassen, & J. Wyatt (Eds.), Artificial Intelligence in Medicine. Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM’99, Aalborg, Denmark, June 1999, Proceedings, Lecture Notes in Computer Science 1620. (pp. 281–290). Berlin: Springer.

    Chapter  Google Scholar 

  • Monk, A. F. (1998). Lightweight techniques to encourage innovative user interface design. In L. Wood (Ed.), User interface design: bridging the gap between user requirements and design (pp. 109–129). Boca Raton: CRC Press.

    Google Scholar 

  • Philips. (2001).Trendcare continuous blood gas monitoring system: Technical Overview. Böblingen, Germany: Philips Medical Systems.

    Google Scholar 

  • Rennie, J. M., & Roberton, N. R. C. (2002). Neonatal Intensive Care. (4th ed.). London: Arnold.

    Google Scholar 

  • Snowden, S., Brownlee, K. G., & Dear, P. R. (1997). An expert system to assist neonatal intensive care. Journal of medical engineering technology, 21(2), 67–73.

    Article  Google Scholar 

  • Tan, K., Baxter, G., Brownlee, K. G., Newell, S. J., Dear, P. R. F., & Smye, S. (2003). Fuzzy logic expert system for ventilation of the newborn infant. Archives of Disease in Childhood, 88(Supplement 1), A47.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag London Limited

About this paper

Cite this paper

Baxter, G.D., Küster Filipre, J., Miguel, A., Tan, K. (2005). The Effects of Timing and Collaboration on Dependability in the Neonatal Intensive Care Unit. In: Redmill, F., Anderson, T. (eds) Constituents of Modern System-safety Thinking. Springer, London. https://doi.org/10.1007/1-84628-130-X_13

Download citation

  • DOI: https://doi.org/10.1007/1-84628-130-X_13

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-952-4

  • Online ISBN: 978-1-84628-130-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics