Abstract
One of the main tasks of physicians is to select an appropriate treatment for patients. Although clinical practice guidelines (CPGs) are evidence-based documents that help physicians to decide on the appropriate treatment, they use to be restricted to specific pathologies. On the contrary, elderly patients tend to suffer from several simultaneous diseases, requiring the combined applications of several treatments provided by multiple CPGs. The combination of different treatments, often prescribed by different physicians, may create interferences and, sometimes, dangerous situations for the patient.
This paper introduces a methodology to combine CPG-based treatments in order to provide explicit integration of treatments.
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References
Field, M.J., Lohr, K.N.: Clinical Practice Guidelines: Directions for a New Program. Institute of Medicine. National Academy Press, Washington, DC (1990)
Shahar, Y., Miksch, S., Johnson, P.: The Asgaard project: A task-specific framework for the application and critiquing of time-oriented clinical guidelines. Artificial Intelligence in Medicine 14, 29–51 (1998)
Musen, M.A., Tu, S.W., Das, A.K., Shahar, Y.: EON: A component-based approach to automation of protocol-directed therapy. Journal of the American Medical Informatics Association 3(6), 367–388
Peleg, M., Boxwala, A.A., Ogunyemi, O., et al.: GLIF3: The Evolution of a Guideline Representation Format. In: Proceedings AMIA Annual Symposium (2000)
Dazzi, L., Fassino, C., Saracco, R., Quaglini, S., Stefanelli, M.: A Patient Workflow Management System Built on Guidelines. In: Proceedings AMIA Annual Fall Symposium (1997)
Purves, I.N., Sugden, B., Booth, N., Sowerby, M.: The PRODIGY project - the iterative development of the release one model. In: Proceedings AMIA Annual Symposium, pp. 359–363 (1999)
Fox, J., John, N., Rahmanzadeh, A.: Disseminating medical Knowledge: The PROforma approach. Artificial Intelligence in Medicine 14, 157–181 (1998)
Tu, S.W., Campbell, J.R., Glasgow, J., et al.: The SAGE Guideline Model: Achievements and Overview. J. Am. Med. Inform. Assoc. 14(5), 589–598 (2007)
Riaño, D.: ”The SDA Model v1.0: The set of theory approach”, Tech. Report DEIM-RT-07-001, URV (2007)
Riaño, D.: The SDA Model: A set of theory approach. In: Proceedings CBMS, pp. 563–568 (2007)
Real, F., Riaño, D., Bohada, J.: Automatic generation of Formal Intervention Plans based in the SDA* representation model. In: 20th IEEE International Symposium on Computer-Based Medical Systems (2007)
Torras, C.: Relaxation and Neural Learning: Points of Convergence and Divergence. Journal of Parallel and Distributed Computing 6, 217–244 (1989)
Cortes, C., Vapnik, V.: Support Vector Networks. Machine Learning 20(3), 273–297 (1995)
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Real, F., Riaño, D. (2008). Automatic Combination of Formal Intervention Plans Using SDA* Representation Model. In: Riaño, D. (eds) Knowledge Management for Health Care Procedures. K4CARE 2007. Lecture Notes in Computer Science(), vol 4924. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78624-5_6
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DOI: https://doi.org/10.1007/978-3-540-78624-5_6
Publisher Name: Springer, Berlin, Heidelberg
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