Patient Record Maintenance using Clustering
Keywords:
Clustering, Medical Reports, Documents, Patient DetailsAbstract
A lot of software’s automating several tasks is coming live each and every day. A variety of improvements have been peeping out in almost every domain that we witness day in and day out. By accentuating the present medical system, a lot of technical enhancements have not been brought into action. For instance, consider a typical patient’s life who undergoes treatments in regular intervals and waits for the proper results to be out. In spite of a having a hard day by treating so many individuals in hospitals, a doctor has to find time to check the results and submit the report back on time. If the patient count is more in a hospital, the validation process will literally eat up more time which in the end turns out to be a huge complication. Now if a software that could automate the resulting process comes into play, it brings in two major differences, that is, the patient need not wait for the results to be out for a long span and the doctor need not find time to check and explain the results. Moreover, the bias of being partial will also be broken and the patient will be awarded with the results for what he/she had in their body. This aims at creating a digitalized platform to release the medical reports and intimate to the patients, leading to the end of paper pen culture for results. By doing so, a lot of time spent on check and result explanation can be cut down which in the end saves an ample amount of time.
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