In: Nursing
What is Data mining application and how it works in telemedicine? with example in how it works in telemedicine
Data mining is defined as a process used to extract usable data from a larger set of any raw data.Some of the data mining applications are
a.Financial analysis
b.Telecommunication industry
c.Biological data analysis
d.Higher education
e.Telemedicine etc
DATA MINING AND TELEMEDICINE
Telemedicine represents a combination of expertise and technology that provides services and information over distance. The use of telemedicine for providing care services has been rapidly increasing and with the latest innovation in the information and computer technologies, it has become an important part of the medical development process with a high potential of improving the economic prosperity of the country.
Today, in the healthcare industry huge volumes of data are collected and stored, data referring to patients, medical devices, hospital resources, diagnostics and treatments etc. Data mining provides a set of techniques that can be applied to process and analyze the data in order to discover patterns that would enable healthcare personnel to make decisions based on the obtained knowledge. All healthcare institutions need an expert analysis of their medical data, the project that is time consuming and expensive. There is a great potential for data mining application in healthcare. Healthcare institutions are very oriented on use of patient’s information. Ability to use a data in databases in order to extract useful information for quality health care is a key of success of healthcare institutions. Healthcare information systems contain large volumes of information that include information on patients, data from laboratories that are constantly growing. With the use of data mining methods, useful patterns of information can be found in this data that will later be used for further research and report evaluation. The key domains for which data mining can provide support in healthcare are: 1.diagnosis and treatment, by enabling doctors to identify diagnosis and provide effective treatment plans.
2. Customer relationship, by making better decisions regarding customer services and offering patients improved services.
3.Detecting fraud, used by insurers in order to identify fraud.
Therefore, integrating data mining techniques into telemedicine systems would help improve the efficiency and effectiveness of the healthcare organizations activity.
EXAMPLE OF DATA MINING IN TELEMEDICINE
With the help of data mining a physician can easily access information regarding a particular drug's efficacy on a particular disease.
Lets say the drug is X. And it is prescribed for the treatment of hypertension. The physician can easily access information regarding whether drug X is able to control hypertension in patients. Lot of people will be taking lot of medications, but out of all the information we have to get information about the drug X and its ability to control hypertension. There comes the data mining. With the help of data mining we can easily access the information we need from a vast variety of information pool.