TY - GEN
T1 - Combining decision support system-generated recommendations with interactive guideline visualization for better informed decisions
AU - Sacchi, Lucia
AU - Parimbelli, Enea
AU - Panzarasa, Silvia
AU - Viani, Natalia
AU - Rizzo, Elena
AU - Napolitano, Carlo
AU - Budasu, Roxana Ioana
AU - Quaglini, Silvana
PY - 2015
Y1 - 2015
N2 - The main task of decision support systems based on computerinterpretable guidelines (CIG) is to send recommendations to physicians, combining patients’ data with guideline knowledge. Another important task is providing physicians with explanations for such recommendations. For this purpose some systems may show, for every recommendation, the guideline path activated by the reasoner. However the fact that the physician does not have a global view of the guideline may represent a limitation. Indeed, there are instances (e. g. when the clinical presentation does not perfectly fit the guideline) in which the analysis of alternatives that were not activated by the system becomes warranted. Furthermore possibly valid alternatives could not be activated due to lack of data or wrong knowledge representation. This paper illustrates a CIG implementation that complements the two functionalities, i. e., sending punctual recommendations and allowing a meaningful navigation of the entire guideline. The training example concerns atrial fibrillation management.
AB - The main task of decision support systems based on computerinterpretable guidelines (CIG) is to send recommendations to physicians, combining patients’ data with guideline knowledge. Another important task is providing physicians with explanations for such recommendations. For this purpose some systems may show, for every recommendation, the guideline path activated by the reasoner. However the fact that the physician does not have a global view of the guideline may represent a limitation. Indeed, there are instances (e. g. when the clinical presentation does not perfectly fit the guideline) in which the analysis of alternatives that were not activated by the system becomes warranted. Furthermore possibly valid alternatives could not be activated due to lack of data or wrong knowledge representation. This paper illustrates a CIG implementation that complements the two functionalities, i. e., sending punctual recommendations and allowing a meaningful navigation of the entire guideline. The training example concerns atrial fibrillation management.
KW - Atrial fibrillation
KW - Computer interpretable guidelines
KW - Decision support systems
KW - Knowledge representation
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U2 - 10.1007/978-3-319-19551-3_43
DO - 10.1007/978-3-319-19551-3_43
M3 - Conference contribution
AN - SCOPUS:84947996879
SN - 9783319195506
VL - 9105
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 337
EP - 341
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PB - Springer Verlag
T2 - 15th Conference on Artificial Intelligence in Medicine, AIME 2015
Y2 - 17 June 2015 through 20 June 2015
ER -