Data mining as a tool for research and knowledge development in nursing.
The ability to collect and store data has grown at a dramatic rate in all disciplines over the past two decades. Healthcare has been no exception. The shift toward evidence-based practice and outcomes research presents significant opportunities and challenges to extract meaningful information from massive amounts of clinical data to transform it into the best available knowledge to guide nursing practice. Data mining, a step in the process of Knowledge Discovery in Databases, is a method of unearthing information from large data sets. Built upon statistical analysis, artificial intelligence, and machine learning technologies, data mining can analyze massive amounts of data and provide useful and interesting information about patterns and relationships that exist within the data that might otherwise be missed. As domain experts, nurse researchers are in ideal positions to use this proven technology to transform the information that is available in existing data repositories into useful and understandable knowledge to guide nursing practice and for active interdisciplinary collaboration and research.
Berger
Anne M
AM
Southern New Hampshire Medical Center, Nashua, NH, USA. anne.berger.1@bc.edu
Berger
Charles R
CR
D000465:Algorithms; D001185:Artificial Intelligence; D016000:Cluster Analysis; D003627:Data Interpretation, Statistical; D019992:Databases as Topic / Q000458:organization & administration*; D003663:Decision Trees; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods* / Q000706:statistics & numerical data; D019359:Knowledge; D015233:Models, Statistical; D016571:Neural Networks, Computer; D048108:Nursing Informatics / Q000458:organization & administration*; D015399:Nursing Research; D010363:Pattern Recognition, Automated; D012044:Regression Analysis