TY - GEN
T1 - A constraint logic programming approach to identifying inconsistencies in clinical practice guidelines for patients with comorbidity
AU - Michalowski, Martin
AU - Mainegra Hing, Marisela
AU - Wilk, Szymon
AU - Michalowski, Wojtek
AU - Farion, Ken
PY - 2011
Y1 - 2011
N2 - This paper describes a novel methodological approach to identifying inconsistencies when concurrently using multiple clinical practice guidelines. We discuss how to construct a formal guideline model using Constraint Logic Programming, chosen for its ability to handle relationships between patient information, diagnoses, and treatment suggestions. We present methods to identify inconsistencies that are manifested by treatment-treatment and treatment-disease interactions associated with comorbidity. Using an open source constraint programming system (ECLiPSe), we demonstrate the ability of our approach to find treatment given incomplete patient data and to identify possible inconsistencies.
AB - This paper describes a novel methodological approach to identifying inconsistencies when concurrently using multiple clinical practice guidelines. We discuss how to construct a formal guideline model using Constraint Logic Programming, chosen for its ability to handle relationships between patient information, diagnoses, and treatment suggestions. We present methods to identify inconsistencies that are manifested by treatment-treatment and treatment-disease interactions associated with comorbidity. Using an open source constraint programming system (ECLiPSe), we demonstrate the ability of our approach to find treatment given incomplete patient data and to identify possible inconsistencies.
KW - Clinical practice guideline
KW - Constraint Logic Programming
KW - comorbidity
UR - http://www.scopus.com/inward/record.url?scp=80053014955&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80053014955&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-22218-4_37
DO - 10.1007/978-3-642-22218-4_37
M3 - Conference contribution
AN - SCOPUS:80053014955
SN - 9783642222177
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 296
EP - 301
BT - Artificial Intelligence in Medicine - 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Proceedings
T2 - 13th Conference on Artificial Intelligence in Medicine, AIME 2011
Y2 - 2 July 2011 through 6 July 2011
ER -