Extracting nursing practice patterns from structured labor and delivery data sets.
This study was designed to demonstrate the feasibility of a computerized care process model that provides real-time case profiling and outcome forecasting. A methodology was defined for extracting nursing practice patterns from structured point-of-care data collected using the labor and delivery information system at Intermountain Healthcare. Data collected during January 2006 were retrieved from Intermountain Healthcare's enterprise data warehouse for use in the study. The knowledge discovery in databases process provided a framework for data analysis including data selection, preprocessing, data-mining, and evaluation. Development of an interactive data-mining tool and construction of a data model for stratification of patient records into profiles supported the goals of the study. Five benefits of the practice pattern extraction capability, which extend to other clinical domains, are listed with supporting examples.
Hall
Eric S
ES
Department of Biomedical Informatics, University of Utah and Intermountain Healthcare, Salt Lake City, UT, USA.
Thornton
Sidney N
SN
D015400:Clinical Nursing Research; D003625:Data Collection / Q000379:methods*; D036861:Delivery, Obstetric / Q000706:statistics & numerical data; D005240:Feasibility Studies; D005260:Female; D006801:Humans; D007743:Labor, Obstetric; D009736:Nursing Process / Q000706:statistics & numerical data*; D009775:Obstetrics and Gynecology Department, Hospital / Q000458:organization & administration*; D010363:Pattern Recognition, Automated; D019095:Point-of-Care Systems; D017410:Practice Guidelines as Topic; D011247:Pregnancy