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Data Mining in Health Care
Data mining has been used both intensively and extensively in many organizations.in the healthcare industry data mining is increasingly becoming popular if not essential. Data mining applications are beneficial to all parties that are involved in the healthcare industry including care providers, HealthCare organizations, patients, insurers and researchers (Kirby, Flick,.&Kerstingt, 2010).
Benefits of using data mining in health care
Care providers can make use of data analysis in identifying effective treatments and the best practices. This can be achieved through making comparison of causes, symptoms and adverse effects. Data mining can also be used in making analysis of the cause of action that will be effective for a specific group of patients. This can also be used in the identification of best clinical practices hence help in the development of guidelines and standards of care. To patients data mining is useful in that they can receive better and more affordable healthcare services. This is particularly the case when healthcare managers use the data mining applications in the identification and tracking of chronic diseases and design appropriate interventions and reduce the number of admissions made in hospitals as well as claims being made. Healthcare organizations use data mining in order to make better decisions when it comes to their patients. For example data mining provides information that guides patient's interactions by determining the preferences...
There is a lot of financial pressure with healthcare organizations therefore data mining can be of great influence when it comes to revenues, costs and the operating efficiency at the same time maintaining high-quality care. Finally data mining is useful to insurers as it helps to detect fraud and abuse through the establishment of norms and identification of unusual claims patterns (Kusserow, 2010).
Types of data warehousing
There are different types of data warehouse including enterprise data warehouse, operational data store and data mart. Enterprise data warehouse provide a control base for decision support in the entire enterprise. Operational data store is where data is refreshed in real time and used for routine activities. Data mart is a sub-part of data warehouse that is in support of a particular design for specific lines of business. Data warehousing tools are included in a software package that can be divided into different categories which are data extraction, table management, query management and data integrity (Conjecture corporation, 2003).In the resource article the data mining tool that has been used and is being spoken about is machine learning. Machine learning involves the directing of a program to pore through huge databases. The machine learns profiles of patients whose data is in the database .with this program doctors can…
Healthcare Case Study Schuylkill County, PA County Overview - Schuylkill County, Pennsylvania is located in the heart of the anthracite Coal region of Pennsylvania where the Schuylkill River originates. Pottsville is the county seat, and the county showed a population of just under 150,000 as of 2010 with a density of 190 persons per square mile. The total area of the county is 782 square miles, almost all land, less than
Stated to be barriers in the current environment and responsible for the reporting that is inadequate in relation to medical errors are: Lack of a common understanding about errors among health care professionals Physicians generally think of errors as individual that resulted from patient morbidity or mortality. Physicians report errors in medical records that have in turn been ignored by researchers. Interestingly errors in medication occur in almost 1 of every 5 doses
The tools used, in this case, for knowledge discovery and data mining where based on artificial neural networks (ANN) and consisted of four different models. All models represented supervised learning models with a known output. The four models of the ANN were dynamic network, prune network, the multilayer perceptron, and the radial basis function network. The main challenge for its implementation was that data needed to be cleaned so the data
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The term "data mining" refers to the process of taking a large amount of data, sorting through it, and refining appropriate and relevant information. Typically, it is used with ERP systems to help make strategic decisions based on the patterns that come out of the data review. It is also that more formal and statistical analysis of large sets of data within complex ERP Systems. Data warehousing is a term
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