Abstract
The treatment of patients with several chronic diseases (comorbidities) has become a frequent actuation of health-care professionals in their daily practice. As different treatments are needed for each disease, there is a risk of undesired drug interactions that must be detected and solved using evidence-based medical knowledge. In this paper we have extracted part of this knowledge for the comorbidities of hypertension, diabetes mellitus and heart failure, and we have represented it by means of combination rules. A rule execution system has been developed which is able to combine treatments of different diseases into a unique comorbid treatment avoiding undesired drug interactions. The system has been checked by health-care professionals of the SAGESSA Health-care group in 20 medical cases.
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References
Bohada, J.A., Riaño, D., López-Vallverdú, J.A.: Automatic Generation of Clinical Algorithms within the State-Decision-Action Model. Expert Systems with Applications 39, 10709–10721 (2012)
Drugs.com. Drug interaction checker. English, http://www.drugs.com/drug_interactions.html (last accessed May 15, 2012)
Gijsen, R., Hoeymans, N., Schellevis, F.G., et al.: Causes and consequences of comorbidity: A review. Journal of Clinical Epidemiology 54(7), 661–674 (2001)
Grup SAGESSA. Guia de maneig de la hipertensió (2003), http://www.grupsagessa.com/documents/menupai/pai_hipertensio-catala.pdf
Grup SAGESSA. Guia de maneig de la diabetis (2002), http://www.grupsagessa.com/documents/menupai/pai_diabetis-catala.pdf
Grup SAGESSA. Guia de maneig de la insuficiència cardíaca (2008), http://banzai-deim.urv.cat/repositories/Bibliography/HFcat.pdf
Hospital Consortium SAGESSA. Spanish, http://www.grupsagessa.com/ (last accessed May 15, 2012)
López-Vallverdú, J.A., Riaño, D., Collado, A.: Detecting Dominant Alternative Interventions to Reduce Treatment Costs. In: Riaño, D., ten Teije, A., Miksch, S. (eds.) KR4HC 2011. LNCS, vol. 6924, pp. 131–144. Springer, Heidelberg (2012)
Kane, R.L., Ouslander, J.G., Abrass, I.B.: Essentials of clinical geriatrics: drug therapy, pp. 357–388. McGraw-Hill, Berkshire (2003)
Koppel, R., Metlay, J.P., Cohen, A., et al.: Role of Computerized Physician Order Entry Systems in Facilitating Medication Errors. JAMA 293(10), 1197–1203 (2005)
Mallet, L., Spinewine, A., Huang, A.: The challenge of managing drug interactions in elderly people. The Lancet 370(9582), 185–191 (2007)
Medscape reference. Drug interaction checker. English, http://reference.medscape.com/drug-interactionchecker/ (last accessed May 15, 2012)
Ostchega, Y., Dillon, C.F., Hughes, J.P., et al.: Trends in hypertension prevalence, awareness, treatment, and control in older U.S. adults: data from the National Health and Nutrition Examination Survey 1988 to 2004. Journal of the American Geriatrics Society 55(7), 1056–1065 (2007)
Riaño, R.: The SDA Model: A Set Theory Approach. In: Proc. Twentieth IEEE Int. Symp. Computer-Based Medical Systems, CBMS 2007, pp. 563–568 (2007)
Robert Wood Johnson Foundation and Partnership for Solutions: Chronic Conditions: Making the Case for Ongoing Care. Johns Hopkins University, Baltimore, MD (September 2004 Update)
Robinson, R.L., Burk, M.S.: Identification of drug-drug interactions with personal digital assistant–based software. The American Journal of Medicine 116(5), 357–358 (2004)
Rosamond, W., Flegal, K., Furie, K., et al.: Heart disease and stroke statistics–2008 update: a report from the American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Circulation 117(4), e25–e146 (2008)
Valderas, J.M., Starfield, B., Sibbald, B., et al.: Defining Comorbidity: Implications for Understanding Health and Health Services. Annals of Family Medicine 7(4), 357–363 (2009)
Wild, S., Roglic, G., Green, A., et al.: Global prevalence of diabetes: Estimates for the year 2000 and projections for 2030. Diabetes Care 27(5), 1047–1053 (2004)
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López-Vallverdú, J.A., Riaño, D., Collado, A. (2013). Rule-Based Combination of Comorbid Treatments for Chronic Diseases Applied to Hypertension, Diabetes Mellitus and Heart Failure. In: Lenz, R., Miksch, S., Peleg, M., Reichert, M., Riaño, D., ten Teije, A. (eds) Process Support and Knowledge Representation in Health Care. ProHealth KR4HC 2012 2012. Lecture Notes in Computer Science(), vol 7738. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36438-9_2
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DOI: https://doi.org/10.1007/978-3-642-36438-9_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36437-2
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