@inbook{d2310ad12c5c4c5db6aa7eca3c9ab94c,
  title     = "A Conceptual Model for Detecting Interactions among Medical Recommendations in Clinical Guidelines",
  abstract  = "Representation of clinical knowledge is still an open research topic. In particular, classical languages designed for representing clinical guidelines, which were meant for producing diagnostic and treatment plans, present limitations such as for re-using, combining, and reasoning over existing knowledge. In this paper, we address such limitations by proposing an extension of the TMR conceptual model to represent clinical guidelines that allows re-using and combining knowledge from several guidelines to be applied to patients with multimorbidities. We provide means to (semi)automatically detect interactions among recommendations that require some attention from experts, such as recommending more than once the same drug. We evaluate the model by applying it to a realistic case study involving 3 diseases (Osteoarthritis, Hypertension and Diabetes) and compare the results with two other existing methods.",
  keywords  = "Clinical knowledge representation, Combining medical guidelines, Multimorbidity, Reasoning",
  author    = "{Carretta Zamborlini}, Veruska and {Da Silveira}, Marcos and Cedric Pruski and Rinke Hoekstra and {ten Teije}, Annette and {van Harmelen}, Frank",
  note      = "Proceedings title: Proceedings of the 19th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2014) Publisher: Springer Editors: K Janowicz, S Schlobach, S Lambrix, E Hyvonen",
  year      = "2014",
  volume    = "8876",
  series    = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
  pages     = "591--606",
  booktitle = "Knowledge Engineering and Knowledge Management - 19th International Conference, EKAW 2014, Proceedings",
}

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In particular, classical languages designed for representing clinical guidelines, which were meant for producing diagnostic and treatment plans, present limitations such as for re-using, combining, and reasoning over existing knowledge. In this paper, we address such limitations by proposing an extension of the TMR conceptual model to represent clinical guidelines that allows re-using and combining knowledge from several guidelines to be applied to patients with multimorbidities. We provide means to (semi)automatically detect interactions among recommendations that require some attention from experts, such as recommending more than once the same drug. 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In particular, classical languages designed for representing clinical guidelines, which were meant for producing diagnostic and treatment plans, present limitations such as for re-using, combining, and reasoning over existing knowledge. In this paper, we address such limitations by proposing an extension of the TMR conceptual model to represent clinical guidelines that allows re-using and combining knowledge from several guidelines to be applied to patients with multimorbidities. We provide means to (semi)automatically detect interactions among recommendations that require some attention from experts, such as recommending more than once the same drug. We evaluate the model by applying it to a realistic case study involving 3 diseases (Osteoarthritis, Hypertension and Diabetes) and compare the results with two other existing methods.\",\n keywords = \"Clinical knowledge representation, Combining medical guidelines, Multimorbidity, Reasoning\",\n author = \"{Carretta Zamborlini}, Veruska and {Da Silveira}, Marcos and Cedric Pruski and Rinke Hoekstra and {ten Teije}, Annette and {van Harmelen}, Frank\",\n note = \"Proceedings title: Proceedings of the 19th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2014) Publisher: Springer Editors: K Janowicz, S Schlobach, S Lambrix, E Hyvonen\",\n year = \"2014\",\n volume = \"8876\",\n series = \"Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)\",\n pages = \"591--606\",\n booktitle = \"Knowledge Engineering and Knowledge Management - 19th International Conference, EKAW 2014, Proceedings\",\n}\n\n\n","author_short":["Carretta Zamborlini, V.","Da Silveira, M.","Pruski, C.","Hoekstra, R.","ten Teije , A.","van Harmelen , F."],"key":"d2310ad12c5c4c5db6aa7eca3c9ab94c","id":"d2310ad12c5c4c5db6aa7eca3c9ab94c","bibbaseid":"carrettazamborlini-dasilveira-pruski-hoekstra-tenteije-vanharmelen-aconceptualmodelfordetectinginteractionsamongmedicalrecommendationsinclinicalguidelines-2014","role":"author","urls":{},"keyword":["Clinical knowledge representation","Combining medical guidelines","Multimorbidity","Reasoning"],"metadata":{"authorlinks":{}},"downloads":0},"search_terms":["conceptual","model","detecting","interactions","medical","recommendations","clinical","guidelines","carretta zamborlini","da silveira","pruski","hoekstra","ten teije ","van harmelen "],"keywords":["clinical knowledge representation","combining medical guidelines","multimorbidity","reasoning"],"authorIDs":["5d6519a2219260da010000fd"],"dataSources":["H6xuGqu5uQ6rXhdJ4","dJmTXpbSWWjnxatYT"]}