Title :
Granularity-based mining for construction of nursing care plan
Author :
Tsumoto, Shusaku ; Hirano, Shoji ; Iwata, Hiroshi
Author_Institution :
Dept. of Med. Inf., Shimane Univ., Izumo, Japan
Abstract :
Schedule management of hospitalization is important to maintain or improve the quality of medical care and application of a clinical pathway is one of the important solutions for the management. This research proposed an data-oriented maintenance of existing clinical pathways by using data on histories of nursing orders. If there is no clinical pathway for a given disease, the method will induce a new clinical care plan from the data. The method was evaluated on 10 diseases. The results show that the reuse of stored data will give a powerful tool for management of nursing schedule and lead to improvement of hospital services.
Keywords :
data mining; diseases; health care; hospitals; medical information systems; patient care; planning; scheduling; clinical care plan; clinical pathway; data-oriented maintenance; disease; granularity-based mining; hospital service improvement; hospitalization schedule management; medical care quality improvement; nursing care plan; nursing order data; nursing schedule management; Hospitals; Information systems; Nails; Pain; Psychology; Radiology; Skin; clinical pathway; clustering; hospital information system; multidimensional scaling; temporal data mining; visualization;
Conference_Titel :
Cognitive Informatics & Cognitive Computing (ICCI*CC), 2013 12th IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4799-0781-6
DOI :
10.1109/ICCI-CC.2013.6622256
