Data Mining

According to the articles, data mining extracts data of the person from the past, present and even data that have yet to come, unseen data and what if data is. Now this data are gathered by two methods the classic methods or classical techniques are statistics, neighborhoods, survey and clustering. Basically these methods are just kid’s stuff, given statistics gathers data summing it all up, and neighborhood is just comparisons and comments.
Using this methods regarding healthcare or applying them in healthcare is very important or is a big factor because accuracy and extensive records will help a lot in giving cure, giving aid and providing a solution for the illness and when health is the topic, every medical history of the person is important, one good example is the movie “house” one episode was about allergic reactions inside and outside the body. and people who witnessed what happened to the patient was explaining that it was about the plants that the patient had an allergic reaction, but given the proper medicines for the plants did not cure the girl until extensive medical history check was done and was founded a chain of allergic reactions occurred. This example clearly cost a lot for the hospital on wasted medication, and did put the life of the patient at risk. Having data mining in your system cuts cost.

The effective use of information and technology is crucial for health care organizations to stay competitive in today’s complex, evolving environment. The challenges faced when trying to make sense of large, diverse, and often complex data source are considerable. In an effort to turn information into knowledge, health care organizations are implementing data mining technologies to help control costs and improve the efficacy of patient care. Data mining can be used to help predict future patient behavior and to improve treatment programs. By identifying high-risk patients, clinicians can better manage the care of patients today so they do not become the problems of tomorrow. The SAS data mining solution offers tools and techniques for extracting, visualizing, modeling, and delivering information. Data mining goes well beyond queries and is more than a series of reports. It includes tools for visualizing relationships in data. At Oxford, data mining is used to help answer complex issues revolving around patient utilization. They want a better understanding of member utilization of care and services, as well as patient and member preferences of how, who, and where they like to deal with care. What are the key variables in predicting utilization, improving quality outcomes and improving compliance issues? To stay competitive, Oxford must empower hospitals, physicians, and members with information so they can interact with each other effectively to deliver high-quality care. Data mining tools are useful for understanding and improving physician and member satisfaction goals. To make the lives of the person or people undergoing a specific health issue can be assured of a better and longer safer life. And to determine whether what is or are still lacking in the health industry of the country, to know what else can be done to improve the services given by the present generation. Data mining is a very time efficient and cost cutting method that can help and improve the country’s flaws regarding the health industry. Like it can help determine what are needed and what are not, what health related issues are visible to some people so that researchers can determine what technology or what kind of technology or machine can be used to cure that illness. And it cuts cost for the reason that, with the help of these surveys, makers can visualize the machine to be invented without building the machine itself.
It is like making sure of something first before putting it into work. With the help of data mining, the person doing the data gathering will be able to know the patient-to-be very well, that it will be easier to determine the weakness, strengths and other basic information about the patient, and this will be very relevant for the future. For the reason that, if and only if the person will have some problems, it will be easier for those who are involved and who are affected by the patient’s conditions of what could be the possible cause. Through this, it will save time because rather than spending the time given for the doctor to cure the patient as soon as possible, it will be wasted on the doctor still finding out things needed or information about the patient.

This Blog is part of our major requirement in DATAMIN class under Mr.Ramon Duremdes Jr.