Literature DB >> 11066649

Healthcare applications of knowledge discovery in databases.

K B DeGruy1.   

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.

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Year:  2000        PMID: 11066649

Source DB:  PubMed          Journal:  J Healthc Inf Manag        ISSN: 1099-811X


  1 in total

1.  Predicting improvement in urinary and bowel incontinence for home health patients using electronic health record data.

Authors:  Bonnie L Westra; Kay Savik; Cristina Oancea; Lynn Choromanski; John H Holmes; Donna Bliss
Journal:  J Wound Ostomy Continence Nurs       Date:  2011 Jan-Feb       Impact factor: 1.741

  1 in total

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