Abstract
This chapter briefly overviews the evolution of the application of the Decisional DNA and the Set of Experience Knowledge Structure (SOEKS) in the medical domain and in particular in the specific case of the experience-based decision support systems. Decisional DNA, as a knowledge representation structure, offers great possibilities on gathering explicit knowledge of formal decision events as well as a tool for decision making processes. The chapter collates more than 10 years of continuous application of the aforesaid techniques into the medical domain in particular for supporting the clinical decision scenario.
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Liu, J., Wyatt, J.C., Altman, D.G.: Decision tools in health care: focus on the problem, not the solution. BMC Med. Inform. Decis. Mak. 6(4) (2006)
Greenes, R.A.: Clinical Decision Support: The Road Ahead. Elsevier Science (2011)
Berner, E.S.: Clinical Decision Support Systems, Theory and Practice, 2nd edn. Springer, New York (2007)
Garg, A.X., Adhikari, N.K.J., McDonald, H., Rosas-Arellano, M.P., Devereaux, P.J., Beyene, J., et al.: Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. JAMA 293(10), 1223–1238 (2005)
Rozman, C.: Compendio de Medicina Interna, 3rd edn. ELSEVIER, Madrid, Spain (2006) (Spanish)
Peleg, M., Tu, S.: Decision support, knowledge representation and management in medicine. In: Yearbook of Medical Informatics, pp. 72–80 (2006)
Sittig, D.F., Wright, A., Osheroff, J.A., Middleton, B., Teich, J.M., Ash, J.S.: Grand challenges in clinical decision support. J. Biomed. Inform. 41(2), 387–392 (2008)
De Castro. S.: Manual de Patología General, 6th edn. ELSEVIER-MASSON, Barcelona, Spain (2006)
Blomqvist, B.: The use of semantic web technologies for decision support—a survey. Semant. Web J., Undefined, 1–24 (2012)
Holsapple, C.W.: Decision support system fundamentals, volume II of handbook on decision support systems. In: DSS Architecture and Types. Springer, Berlin Heidelberg, pp. 163–189 (2008)
Wright, A., Sittig, D.F.: A four-phase model of the evolution of clinical decision support architectures. Int. J. Med. Informatics 77(10), 641–649 (2008)
Osheroff, J.A., Teich, J.M., Middleton, B.F., Steen, E.B., Wright, A., Detmer, D.E.: A roadmap for national action on clinical decision support. JAMIA 14(2), 141–145 (2007)
Peleg M., Tu, S.W.: 2006 IMIA Yearbook of Medical Informatics: Assessing Information—Technologies for Health. In: Decision Support, Knowledge Representation and Management in Medicine. Schattauer Verlagsgesellschaft GmbH, Stuttgart, pp. 72–80 (2006)
Kawamoto, K., Houlihan, C.A., Balas, E.A., Lobach, D.F.: Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success. BMJ 330(7494), 765 (2005)
Das M., Eichner, J.: Challenges and Barriers to Clinical Decision Support (CDS) Design and Implementation Experienced in the Agency for Healthcare Research And Quality CDS Demonstrations. Technical Report 10-0064-EF, AHRQ Publication, Rockville (2010)
Holbrook, A., Xu, S., Banting, J.: What factors determine the success of clinical decision support systems? In: AMIA Annual Symposium Proceedings 2003, p. 862 (2003)
Bickley, L.S., Szilagyi, P.G.: Bates’ Guide to Physical Examination and History Taking, 8th edn. Lippincott Williams and Wilkins, Philadelphia (2003)
Banerjee, A., Watson, T.F.: Pickard’s manual of operative dentistry. In: Diagnosis, Prognosis, Care Planning: ‘Information Processing’. Oxford University Press (2011)
Gérvas, J., Starfield, B., Heath, I.: Is clinical prevention better than cure? The Lancet 372, 1997–1999 (2008)
Ramaswamy, M., Ortiz-Fournier, L.: Health care knowledge collection for clinical decision support systems. Issues Inf. Syst. 11(1), 538–546 (2010)
Warner Jr., H.R.: Iliad: moving medical decision-making into new frontiers. Methods Inf. Med. 28(4), 370–372 (1989)
Kahn, Jr., C.E., Roberts, L.M., Wang, K., Jenks, D., Haddawy, P.: Preliminary investigation of a bayesian network for mammographic diagnosis of breast cancer. In: Proceedings of the Annual Symposium on Computer Application in Medical Care, pp. 208–212 (1995)
Miller, P.L., Frawley, S.J., Sayward, F.G., Yasnoff, W.A., Duncan, L., Fleming, D.W.: Imm/serve: a rule-based program for childhood immunization. In: Proceedings of the AMIA Annual Fall Symposium, pp. 184–188 (1996)
Wicht, Andreas, Wetter, Thomas, Klein, Ulrike: A web-based system for clinical decision support and knowledge maintenance for deterioration monitoring of hemato-oncological patients. Comput. Methods Programs Biomed. 111(1), 26–32 (2013)
Aleksovska-Stojkovska L., Loskovska, S.: Architectural and data model of clinical decision support system for managing asthma in school-aged children. In: 2011 IEEE International Conference on Electro/Information Technology (EIT), pp. 1–6 (2011)
Ceccarelli, M., Donatiello, A., Vitale, D.: Kon3: a clinical decision support system, in oncology environment, based on knowledge management. In: 2012 IEEE 24th International Conference on Tools with Artificial Intelligence, 2, 206–210 (2008)
Bouamrane, M.-M., Rector, A.L., Hurrell, M.: Development of an ontology for a preoperative risk assessment clinical decision support system. In: CBMS. IEEE, pp. 1–6 (2009)
Berner, E.S., La Lande, T.J.: Clinical decision support systems, theory and practice. In: Overview of Clinical Decision Support Systems. Number 1, 2nd edn. Springer, New York (2007)
Ledley, R.S., Lusted, L.B.: Reasoning foundations of medical diagnosis; symbolic logic, probability, and value theory aid our understanding of how physicians’ reason. Science 130(3366), 9–21 (1959)
Kodlin, D., Collen, M.F.: Automated Diagnosis in Multiphasic Screening (1972)
Bleich, H.L.: Computer evaluation of acid-base disorders. The J. Clin. Investig. 48(9), 1689–1696 (1969)
de Dombal, F.T., Leaper, D.J., Staniland, J.R., McCann, A.P., Horrocks, J.C.: Computer-aided diagnosis of acute abdominal pain. BMJ 2(5804):9–13 (1972)
Shortliffe, E.H., Davis, R., Axline, S.G., Buchanan, B.G., Green, C.C., Cohen, S.N.: Computer-based consultations in clinical therapeutics: explanation and rule acquisition capabilities of the mycin system. Comput. Biomed. Res. 8(4), 303–320 (1975)
Shortliffe, E.H., Carlisle Scott, A., Bischoff, M.B., Bruce Campbell, A., van Melle, W., Jacobs, C.D.: Oncocin: an expert system for oncology protocol management. In: Hayes, P.J. (ed.) IJCAI. pp. 876–881. William Kaufmann (1981)
Miller, R.A., Pople Jr., H.E., Myers, J.D.: Internist-1, an experimental computer-based diagnostic consultant for general internal medicine. N. Engl. J. Med. 307(8), 468–476 (1982)
Miller, P.L.: Critiquing anesthetic management: the “attending” computer system. Anesthesiology 58(4), 362–369 (1983)
Barnett, G.O., Cimino, J.J., Hupp, J.A., Hoffer, E.P.: Dxplain. An evolving diagnostic decision-support system. JAMA 258(1), 67–74 (1987)
Sanchez, D., Moreno, A., Isern, D.: Agents applied in health care: a review. Int. J. Med. Inform. 79, 145–166 (2010)
Xing, L., Shengjun, Z.: One mountain with two tigers—China and the United States in East Asian Regionalism. Perspect. Fed. 2(3), 110–129 (2010)
Toro, C., Sanchez, E., Carrasco, E., Mancilla-Amaya, L., Sanín, C., Szczerbicki, E., Graña, M., Bonachela, P., Parra, C., García, G.B., Guijarro, F.: Using set of experience knowledge structure to extend a rule set of clinical decision support system for Alzheimer’s disease diagnosis. Cybern. Syst. 43, 81–95 (2012)
Sanchez, E., Toro, C., Graña, M., Sanín, C., Szczerbicki, E.: Specification of extended reflexive ontologies in the context of CDSS. Stud. Health Technol. Inform. 207, 234–243 (2014)
Flores-Mendez, R.A.: Towards the standardization of multi-agent system frameworks: an overview. ACM Crossroads, Spec. Issue Intell. Agents, Assoc. Comput. Mach. 5(4), 18–24 (1999)
Sycara, K.P.: Multiagent systems. AI Mag. 19(2), 79–92 (1998)
Sanchez, E.: Semantic steered clinical decision support systems. Ph.D. thesis, University of the Basque Country (2014)
Feldman H.H., Woodward. M.: The staging and assessment of moderate to severe Alzheimer disease. Neurology 65(6 Suppl 3), S10–S17+ (2005)
Monien, B.H., Apostolova, L.G., Bitan, G.: Early diagnostics and therapeutics for Alzheimer’s disease–how early can we get there? Expert Rev. Neurother. 6(9), 1293–1306 (2006)
Malhotra, A., Younesi, E., Gündel, M., Müller, B., Heneka, M.T., Hofmann-Apitius, M.: Ado: a disease ontology representing the domain knowledge specific to alzheimer’s disease. Alzheimer’s Dement. (0) (2013)
Refolo, Lorenzo M., Snyder, Heather, Liggins, Charlene, Ryan, Laurie, Silverberg, Nina, Petanceska, Suzana, Carrillo, Maria C.: Common alzheimer’s disease research ontology: national institute on aging and alzheimer’s association collaborative project. Alzheimer’s Dement. 8(4), 372–375 (2012)
Ciccarese, P., Wu, E., Wong, G., Ocana, M., Kinoshita, J., Ruttenberg, A., Clark, T.: The {SWAN} biomedical discourse ontology. J. Biomed. Inform. 41(5), 739–751 (2008). <ce:title> Semantic Mashup of Biomedical Data
Gómez-Pérez, A., Fernández, M., Corcho, O.: Ontological Engineering. Springer, London (2004)
Toro, C., Sanín, C., Szczerbicki, E., Posada, J.: Reflexive ontologies: enhancing ontologies with self-contained queries. Cybern. Syst. 39, 171–189 (2008)
U.S. Cancer Statistics Working Group. United States Cancer Statistics: 1999–2010 Incidence and Mortality Web-Based Report. Technical report, Department of Health and Human Services, Centers for Disease Control and Prevention and National Cancer Institute, Atlanta: US (2013)
Nandy, A., Gangopadhyay, S., Mukhopadhyay, A.: Individualizing breast cancer treatment; the dawn of personalized medicine. Exp. Cell Res. 320(1), 1–11 (2014)
American College of Radiology. ACR BIRADS Atlas, 5th edn. ACR (2013)
Acknowledgements
The authors would like to thank the KERT group from the University of Newcastle (Australia) who supported this research with different researchers interchanges and as the original creation of the SOEKS/DDNA concept that was kindly allowing it to use it within the European team research.
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Toro, C., Graña, M., Sanchez, E., Sanin, C., Szczerbicki, E. (2020). Experience Based Clinical Decision Support Systems: An Overview and Case Studies. In: Szczerbicki, E., Sanin, C. (eds) Knowledge Management and Engineering with Decisional DNA. Intelligent Systems Reference Library, vol 183. Springer, Cham. https://doi.org/10.1007/978-3-030-39601-5_5
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