Importance and Implementation of Data Mining in Modern Health Care

Question: Discuss the importance and implementation of Data Mining in modern health care. Answer: The information technology has really revolutionized the whole Diaspora of work culture. Today with its implementation of new information and technology inputs, the total notion of the work done has been changed. To run a company it is necessary to note that there should be a requisite information management system for each work activity. Data mining is an important term in the health industry that aims at the increasing of the health practices with the software and also it decreases the cost (Amatayakul, 2010). This really improves the healthcare by the software backup. This essay deals with the intricacies of the same. Analysis phase After the information system is decided there must be a group of people who shall work in collaboration with each other diligently. There are many users of a particular service. Say if the information system is implemented in a health organization or a medical organization. There shall be different users. They shall have the needs. The requirement for the staff is to make a survey and make the people acquainted with the running details of the company and the software. (Cox, n.d.) States that they must also make the users aware of the services provided. This must be done on the basis of a man to man interface. That is, however, the best mode of communication in the modern times. Now, after the people are aware and they notify their requirements the data is to be brought to the table. Then they must be sorted as per their similarities. After they are sorted they must be preened in detail and analyzed. This analysis shall tell the organization the intonations of the users and only then can the organization proceed successfully (Gasch Gasch, 2010). Thus the quality of the performance shall definitely increase when the organization shall become totally aware of the needs and desires of the customers they cater to. The process and the performance of the group are then bound to change (Houle Eckstrom, n.d.). If it is seen that the group is fending the needs, then the performance shall increase and if they see that they are far from expectation then the performance track shall deplete. Anyways the performance shall change and that is to the better side. Design phase This is a very important part. After the analysis phase is done when the people are made aware of the thing and the DATA MINING is notified, the software must be designed so that all the users can use the same well. The first thing about the design must be this that it should be easy. The medical records and the future action details must be there and the ting must be shared among other health units for the convenience of all. It depends on the design that the DATA MINING shall be easy and streamlined or not. While the designs are done, it must be seen that the complexities are ciphered and it is more and more accessible to a lame man. The design phase shall impact how the data is captured. Say if the design does not have all the details of the patient then the data taken shall be incomplete. Thus, one must provide all the details as per the analysis phase while implementing the data designing phase. One thing must be remembered that this shall be the main interface between the doctors, service providers and the patients. If the design is unclear the data collection, analysis and sharing shall be incomplete and that shall succumb to nothing (Stahlbock, Weiss, Abou-Nasr, Arabnia, 2014). Implementation phase This is one of the most pivotal phases of anything. The implementation, means a lot to the design and the analysis phases. For poor implementation many things can be amiss. There are some steps for the same. They are discussed in this charter. User training: this is very important. The user must be trained how to use the software. The software handling must be taught so that the electronic health record is managed well amongst all. Set a goal and train a super user. System testing: before the thing is opened for all the system must be checked for any last moment misses. The system checkup should ensure efficiency. The environment for the testing must be set up promptly (Stahlbock, Weiss, Abou-Nasr, Arabnia, 2015). Site preparation: this has already been enumerated yet this is one of the main things. The site must be made easier to access and light to load. The elementary things in the site must be simple and jovial for the use of all. The site must be protected by an EULA or end-user licensing agreements. Objectives of the DATA MINING can be: Providing a complete list of details about the patients health and hygiene to the people akin to him or her. They must have a good resource always for any communication. The DATA MINING must have the diagnoses, immunization dates, allergies, radiology images, medications, treatment plans, and laboratory and test results of the patients. Must have some tools based on evidence that can clarify the condition of the patient and can help the others to take decisions about the services implemented. Provide a workflow which is automated and streamlined. Operation and maturity phase Now comes the primal thing. The operation phase is very vital and significant. There are many BEST practices which can be implemented to have a great thing ahead. Some of them are discussed in this phase when the operation of the DATA MINING is instigated. Expert advice: it is always wished for that the BEST practice shall be implanted with the advice of a person already using the software. A person who is acquainted with the knowledge of the basic outflow of the system (Welch, n.d.). Give good training time: often the things are rushed. For this software implementation and operation there must be no rush and ample training time must be given. Identify the probable failure points: while using a thing all of the people think about the success, but the first thing in a discussion must be the chances of the failures. The requisite information from the stakeholders shall help here. The huge amount of data with which the software runs can crash and thus the precautions must be ready. This must ensure service for all: this is very important. The DATA MINING must give 100% services. To achieve that any goal must be reached. These are some of the BEST practices that shall assure the power and backup of the system. If they are not practiced then the system would be depleted soon after it is made. Evaluation phase After the thing is done and the services are rendered then comes this phase. It is important to evaluate everything to increase the efficiency of the same. The software that runs must be checked too. The people must see that the patients are getting benefits from it or not. They must be in bliss. The evaluation must be done in order to increment the quality of the service rendered. The full thing must be evaluated under the light of the cost benefit theory. It must be seen that whether the system is beneficial for the cost of the company or not. If yes, then it can be modified to be better and if no then either it must be changed or a thorough modification must be done. In short the economic analysis shall benefit the company and the system to a great extent. Conclusion The modern implementations shall reverberate the health system. The details of the patient health and the patient track record shall be at hand by a software backup. This is a real modern approach to medications. Thus, it must be safely rendered and work must go on. References Amatayakul, M. (2010). The no-hassle guide to EHR policies. Marblehead, MA: HCPro. Cox, I. 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