Title :
Pattern extraction for monitoring medical practices
Author :
Maytal ; Tsechansky, Saar ; Pliskin, Nava ; Rabinowitz, Gadi ; Tsechansky, Mark
Author_Institution :
Dept. of Inf. Syst., New York Univ., NY, USA
Abstract :
Presents the extraction of relational patterns on a hospital discharge database to monitor for quality of care. We delineate the requirements set for the extraction of meaningful medical practices from the data and describe how relational patterns address these requirements. Patterns representing practices regarding hospitalization instances are comprehensive and easy to interpret-making them useful for quality management decision making. We demonstrate how relational patterns can be applied to identify poor practices embedded in hospitalization processes and to trigger subsequent inquiries.
Keywords :
computerised monitoring; data mining; medical administrative data processing; pattern recognition; quality management; relational databases; hospital discharge database; hospitalization; inquiry triggering; interpretability; meaningful medical practices; medical practice monitoring; patient care quality monitoring; poor practice identification; quality management decision making; relational pattern extraction; requirements set; Biomedical monitoring; Costs; Data mining; Decision making; Demography; Hospitals; Management information systems; Medical diagnostic imaging; Quality management; Relational databases;
Conference_Titel :
System Sciences, 2001. Proceedings of the 34th Annual Hawaii International Conference on
Conference_Location :
Maui, HI, USA
Print_ISBN :
0-7695-0981-9
DOI :
10.1109/HICSS.2001.926569
