Medical data mining is the analysis of large sets of medical data that is used to find patterns and commonalities that forecast future similar medical events.
Most healthcare facilities keep electronic health records. Organizations with access to large sets of medical data are increasingly optimizing them for efficiency and for medical data mining.
Data mining has been around since the 1990’s and has been used extensively in other industries such as fraud detection, finance, and retail. Today the healthcare industry is mining medical data using a form of predictive analytics.
Data that is being analyzed and measured in the healthcare industry includes rates and disease conditions associated with epidemiology, rates of health in defined populations, CRM, and treatment effectiveness rates.
In any market or industry, data mining is an effective tool to identify patterns by researching large data sets. The information is then used to predict trends in the industry and use the information for efficiency and marketing.
Data mining is a valuable tool for many industries particular in the healthcare sector. Electronic health records help to improve many aspects of healthcare allowing medical professionals to share and make use of knowledge through many different channels. Electronic health records help to reduce errors and help improve the care of patients.
Medical data mining can also help cut healthcare costs because the data is used to increase quality and efficiency in the process, treatment, and patient satisfaction. Costs are also reduced as the data is used to decrease the cost of healthcare and identify fraudulent claims.
