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On Articulation and Localization - Some Sociotechnical Issues of Design, Implementation, and Evaluation of Knowledge Based Systems

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2101))

Abstract

The standard model of clinical work is a fixed sequence of tasks covering diagnosis and treatment of patients. Knowledge based systems have been designed according to this sequence. This ideal typical approach accounts for the relative modest success of knowledge based systems in healthcare practice. In reality however, clinical work is highly contingent, ad-hoc and idiosyncratic and therefore hard to fit into in a formal model. A physician is said to manage complex and diverse patient trajectories. Therefore the concept of a trajectory should not only relate to the course of the disease of a patient, but to all the organizational work during that course as well. We will highlight two aspects of this ‘messy’ view of clinical work and examine the consequences for the design, implementation and evaluation of knowledge based systems. Articulation refers to the fact that a lot of invisible work is being done in order to complete a visible task of a physician. A physician may see a patient, but before she can do that a lot of work has been done to assure that she actually sees the patient. Localization refers to the fact that clinical work is being adapted to local and situational circumstances. This is not primarily related to the variance in medical work as a result of uncertain knowledge about the true clinical state of a patient, but to the constant negotiating with colleagues, local opportunities and restraints and the possibilities of protocols and technologies. In short, the way how patient trajectories are being shaped by human and nonhuman elements. A knowledge based system that has the potential of adaptability to patient trajectories seems to offer new opportunities. Such an approach would place the user in the centerfold of the design, implementation and evaluation of such systems.

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References

  1. Shortliffe, E. H. (1987). “Computer programs to support clinical decision making.“ JAMA 258(1): 61–6.

    Article  Google Scholar 

  2. Musen, M. A. and J. van der Lei (1989). “Knowledge engineering for clinical consultation programs: modeling the application area.” Methods Inf Med 28(1): 28–35.

    Google Scholar 

  3. Suchman, L. A. (1987). Plans and situated actions, the problem of human machine communication. Cambridge, Cambridge University Press.

    Google Scholar 

  4. Strauss, A. L., S. Fagerhaugh, et al. (1997). Social organization of medical work. New Brunswick, Transaction Publishers.

    Google Scholar 

  5. Berg, M. (1999). “Patient care information systems and health care work: a sociotechnical approach.” Int J Med Inf 55: 87–101.

    Article  Google Scholar 

  6. Quaglini, S., M. Stefanelli, et al. (2001). “Flexible guideline-based patient careflow systems.” Artif Intell Med 22(1): 65–80

    Article  Google Scholar 

  7. Berg, M. (1997). Rationalizing medical work, decision support techniques and medical practices. Cambridge (MA), The MIT Press.

    Google Scholar 

  8. Maij, E., V. E. van Reijswoud, et al. (2000). “A process view of medical practice by modeling communicative acts.” Methods Inf Med 39(1): 56–62.

    Google Scholar 

  9. Berg, M., C. Langenberg, et al. (1998). “Considerations for sociotechnical design: experiences with an electronic patient record in a clinical context.” Int J Med Inf 52(1–3): 243–51.

    Article  Google Scholar 

  10. Agre, P. E. (1995). Conceptions of the user in computer systems design. The social and interactional dimensions of human-computer interfaces. P. J. Thomas. Cambridge, Cambridge University Press: 67–106.

    Google Scholar 

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© 2001 Springer-Verlag Berlin Heidelberg

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Aarts, J. (2001). On Articulation and Localization - Some Sociotechnical Issues of Design, Implementation, and Evaluation of Knowledge Based Systems. In: Quaglini, S., Barahona, P., Andreassen, S. (eds) Artificial Intelligence in Medicine. AIME 2001. Lecture Notes in Computer Science(), vol 2101. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48229-6_2

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  • DOI: https://doi.org/10.1007/3-540-48229-6_2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42294-5

  • Online ISBN: 978-3-540-48229-1

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