How Does Healthcare Use Data Mining?

Data mining is a relatively new technology, the concept was developed in 1994. Data mining and analysis can be defined as the use of techniques and technology to derive or predict patterns from large amounts of data.. Data mining has many stages, the modeling stage is the stage for data analysis. Modeling stage consists of data mining software which does the analytical processing. Healthcare uses Data mining applications to evaluate treatment effectiveness of medical treatment. They follow treatment trends for illnesses, allowing for recommendations on which treatment is more effective based on an individual patients characteristics. For example maybe for children under 10 there is a more effective way to treat the flu compared to an adult over 50. Data Mining is also used to find ways to cut costs in treatment by seeing what is more effective and cost less at the same time. Hospitals can now figure out what’s the best

Data mining aids healthcare management by developing better ways to identify and track chronic disease states and high risk patients, designing interventions and reduce number of patient admissions. It determines best medical treatments based on past history and current scientific journals. With the growth in electronic health records, more and more facilities are gathering huge amounts of digitized patient data. Healthcare providers can use data mining to uncover previously unknown patterns from vast data stores and then use this information to build predictive models. Because electronic healthcare records contain so much data, they provide a rich source for healthcare organizations to tap for information about how to improve patient care and reduce costs. Data mining use to decrease costs has become an important part of healthcare management, Blue Cross insurance agency uses data mining to improve outcomes and expenses through better disease