TY - GEN
T1 - A constraint-based approach for the conciliation of clinical guidelines
AU - Piovesan, Luca
AU - Terenziani, Paolo
N1 - Publisher Copyright:
© Springer International Publishing AG 2016.
PY - 2016
Y1 - 2016
N2 - The medical domain often arises new challenges to Artificial Intelligence. An emerging challenge is the support for the treatment of patients affected by multiple pathologies (comorbid patients). In the medical context, clinical practice guidelines (CPGs) are usually adopted to provide physicians with evidence-based recommendations, considering only single pathologies. To support physicians in the treatment of comorbid patients, suitable methodologies must be devised to “merge” CPGs. Techniques like replanning or scheduling, traditionally adopted in AI to “merge” plans, must be extended and adapted to fit the requirements of the medical domain. In this paper, we propose a novel methodology, that we term “conciliation”, to merge multiple CPGs, supporting the treatments of comorbid patients.
AB - The medical domain often arises new challenges to Artificial Intelligence. An emerging challenge is the support for the treatment of patients affected by multiple pathologies (comorbid patients). In the medical context, clinical practice guidelines (CPGs) are usually adopted to provide physicians with evidence-based recommendations, considering only single pathologies. To support physicians in the treatment of comorbid patients, suitable methodologies must be devised to “merge” CPGs. Techniques like replanning or scheduling, traditionally adopted in AI to “merge” plans, must be extended and adapted to fit the requirements of the medical domain. In this paper, we propose a novel methodology, that we term “conciliation”, to merge multiple CPGs, supporting the treatments of comorbid patients.
KW - Combining medical guidelines
KW - Comorbidities
KW - Computer interpretable clinical guidelines
KW - Constraint satisfaction problems
UR - http://www.scopus.com/inward/record.url?scp=84994083634&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-47955-2_7
DO - 10.1007/978-3-319-47955-2_7
M3 - Conference contribution
AN - SCOPUS:84994083634
SN - 9783319479545
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 77
EP - 88
BT - Advances in Artificial Intelligence - IBERAMIA 2016 - 15th Ibero-American Conference on AI 2016, Proceedings
A2 - Escalante, Hugo Jair
A2 - Montes-y-Gomez, Manuel
A2 - Segura, Alberto
A2 - de Dios Murillo, Juan
PB - Springer Verlag
T2 - 15th Ibero-American Conference on Advances in Artificial Intelligence, IBERAMIA 2016
Y2 - 23 November 2016 through 25 November 2016
ER -