Undergraduate Course
Nurs 310 - Professional Role of the Registered Nurse
Technology to Support Interprofessional Communication and Collaboration
Data Mining and Knowledge Discovery
Learning Activities:
Data mining is a methodology utilizing computer technology to discover information, otherwise not recognizable in the massive amount of data recorded in databases. Knowledge discovery provides us a process with actual steps to help us find hidden information which can be analyzed to see how it can make a difference for better outcomes. Connecting the dots to recognize patterns in the massive volume of data we are generating and what has been digitalized from prior paper records is critically important. Processes are not consistently in place to analyze data and information so much can be gained by the interpretation of mined data which can be translated into evidence to determine best practice, better treatments, and most of all improve patient outcomes.
View the following links to learn more about data mining.
TechopediaTM. (n.d.). Knowledge discovery in databases (KDD). Retrieved from http://www.techopedia.com/definition/25827/knowledge-discovery-in-databases-kdd
CNBC: Big Data Download. (2013, May 2). How healthcare is mining-using your data [Video]. Retrieved from http://finance.yahoo.com/video/transforming-healthcare-using-big-data-164824585.html
Definitions:
- Data Mining: “Technique that looks for hidden patterns and relationships in large groups of data using software” (Hebda & Czar, 2013). Artificial intelligence, statistical computation and computer programs are used to explore large datasets in order to identify patterns. For instance, data mining in retail discovered that men who buy diapers on weekends were also very likely to buy beer. In healthcare, data mining can identify sources of error or improvements in outcomes related to having a specific skill mix of nursing staff.
- Knowledge Discovery in Databases (KDD): “Extraction of implicit, unknown, and potentially useful information from data” (Hebda & Czar, 2013). KDD refers to the higher level processes that include extraction, interpretation and application of data and is interrelated (and often used interchangeably) with the term data mining.
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