title: Healthcare applications of knowledge discovery in databases.
abstract: Many healthcare leaders find themselves overwhelmed with data, but lack the information they need to make informed decisions. Knowledge discovery in databases (KDD) can help organizations turn their data into information. KDD is the process of finding complex patterns and relationships in data. The tools and techniques of KDD have achieved impressive results in other industries, and healthcare needs to take advantage of advances in this exciting field. Recent advances in the KDD field have brought it from the realm of research institutions and large corporations to many smaller companies. Software and hardware advances enable small organizations to tap the power of KDD using desktop PCs. KDD has been used extensively for fraud detection and focused marketing. There is a wealth of data available within the healthcare industry that would benefit from the application of KDD tools and techniques. Providers and payers have a vast quantity of data (such as, charges and claims), but not effective way to analyze the data to accurately determine relationships and trends. Organizations that take advantage of KDD techniques will find that they offer valuable assistance in the quest to lower healthcare costs while improving healthcare quality.
authors.affiliation: Humana Inc., USA.
authors.forename: K B
authors.initials: KB
authors.lastname: DeGruy
mesh_terms: D001185:Artificial Intelligence; D003258:Consumer Behavior; D003627:Data Interpretation, Statistical; D003660:Decision Support Systems, Management; D005607:Fraud / Q000517:prevention & control; D019981:Health Care Sector / Q000639:trends*; D008389:Marketing of Health Services; D016896:Treatment Outcome; D014481:United States