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

fYear

2013

fDate

16-18 July 2013

Firstpage

282

Lastpage

291

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICCI-CC.2013.6622256

Filename

6622256