Abstract
Healthcare institutions are both natural and emotionalstressful environments; indeed, the healthcare professionals may fall intopractices that may lead to medical errors, undesirable variations in clinical doing and defensive medicine. On the other hand, Clinical Guidelines may offer an effective response to these irregularities in clinical practice, if the issues concerning their availability during the clinical process are solved. Hence, in this work it is proposed a model intended to provide a formal representation of Computer-Interpretable Guidelines, in terms of the extensions of the predicates that make their universe of discourse, as well as a Decision Support System framework to handle Incomplete Information. It will be used an extension to the language of Logic Programming, where an assessment of the Quality-of-Information of the extensions of the predicates referred to above is paramount.
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References
Maslach, C., Schaufeli, W.B., Leiter, M.P.: Job Burnout. Annual Review of Psychology 52, 397–422 (2001)
Farquhar, C.M., Kofa, E.W., Slutsky, J.R.: Clinicians’ Attitudes to Clinical Practice Guidelines: A Systematic Review. Medical Journal of Australia 177, 502–506 (2002)
West, C., Tan, A., Habermann, T., Sloan, J., Shanafelt, T.: Association of Resident Fatigue and Distress with Perceived Medical Errors. JAMA 177, 502–506 (2002)
Hampton, J.R.: Evidence-based Medicine, Practice Variations and Clinical Freedom. Journal of Evaluation in Clinical Practice 3, 123–131 (1997)
Studdert, D.M., Mello, M.M., Sage, W.M., Des Roches, C.M., Peugh, J., Zapert, K., Brennan, T.A.: Defensive Medicine among High-risk Specialist Physicians in a Volatile Malpractice Environment. JAMA 293, 2609–2617 (2005)
Woolf, S.H., Grol, R., Hutchinson, A., Eccles, M., Grimshaw, J.: Potential Benefits, Limitations and Harms of Clinical Guidelines. BMJ 318, 527 (1999)
Sackett, D.L.: Evidence-based Medicine. Seminars in Perinatology 21, 3–5 (1997)
Mead, P.: Clinical Guidelines: Promoting Clinical Effectiveness or a Professional Minefield? JAN 31, 110–116 (2000)
Rosenbrand, K., Croonenborg, J., Wittenberg, J.: Guideline Development. In: Computer-based Medical Guidelines and Protocols: A Primer and Current Trends, pp. 3–21. IOS Press (2008)
Neves, J., Ribeiro, J., Pereira, P., Alves, V., Machado, J., Abelha, A., Novais, P., Analide, C., Santos, M., Fdez-Delgado, M.: Evolutionary Intelligence in Asphalt Pavement Modeling and Quality-of-Information. In: Progress in Artificial Intelligence. Springer (to appear, 2012)
De Clercq, P., Kaiser, K., Hasman, A.: Computer-Interpretable Guideline Formalisms. In: Computer-based Medical Guidelines and Protocols: A Primer and Current Trends, pp. 22–43. IOS Press, Amsterdam (2008)
Sánchez, H., Albala, C., Dangour, A., Uauy, R.: Compliance with Guidelines for the Management of Community Acquired Pneumonia at Primary Healthcare Centres. Revista Médica de Chile 137, 1575–1582 (2009)
Cannon, D., Allen, S.: A Comparison of the Effects of Computer and Manual Reminders on Compliance with a Mental Health Clinical Practice Guideline. JAMIA 7, 196–203 (2000)
Kim, S., Haug, P.J., Rocha, R.A., Choi, I.: Modeling the Arden Syntax for medical Decisions in Xml. Medical Informatics 77, 650–656 (2008)
Peleg, M., Boxwala, A.A., Ogunyemi, O., Zeng, Q., Tu, S., Lacson, R., Bernstam, E., Ash, N., Mork, P., Ohno-Machado, L., Shortlife, E.H., Greenes, R.A.: Glif3: The Evolution of a Guideline Representation Format. Journal of Biomedical Informatics 37, 147–161 (2004)
Shahara, Y., Mikschb, S., Johnsonc, 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)
Ram, P., Berg, D., Tu, S., Mansfield, G., Ye, Q., Abarbanel, R., Beard, N.: Executing Clinical Practice Guidelines using the SAGE Execution Engine. Medinfo 11, 1–5 (2004)
Fox, J., Johns, N., Rahmanzadeh, A.: Disseminating Medical Knowledge: The PROforma Approach. Artificial Intelligence in Medicine 14, 157–182 (1998)
Oliveira, T., Costa, A., Neves, J., Novais, P.: Digital Clinical Guidelines Modelling. In: Modelling and Simulation 2011, pp. 392–398. EUROSIS (2011) ISBN: 978-9077381-66-3
Neves, J.: A Logic Interpreter to handle Time and Negation in Logic Databases. In: ACM 1984 Proceedings of the 1984 Annual Conference of the ACM on The Fifth Generation Challenge, pp. 50–54. ACM, New York (1984)
Gelfond, M., Lifschitz, V.: The Stable Model Semantics for Logic Programming. In: Kowalski, R., Bowen, K. (eds.) Logic Programming: Proceedings of the Fifth International Conference on Logic Programming, pp. 1070–1080 (1988)
Neves, J., Machado, J., Analide, C., Abelha, A., Brito, L.: The Halt Condition in Genetic Programming. In: Neves, J., Santos, M.F., Machado, J.M. (eds.) EPIA 2007. LNCS (LNAI), vol. 4874, pp. 160–169. Springer, Heidelberg (2007)
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Oliveira, T., Neves, J., Costa, Â., Novais, P., Neves, J. (2012). An Interpretable Guideline Model to Handle Incomplete Information. In: Omatu, S., De Paz Santana, J., González, S., Molina, J., Bernardos, A., Rodríguez, J. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 151. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28765-7_52
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DOI: https://doi.org/10.1007/978-3-642-28765-7_52
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