Top 20 Examples and Applications of Big Data in Healthcare(1)



Since last time I had learned the importance and potential of Big Data, I started to search the article introduced to Big Data analysis in other fields.
As a result, the topic which I am going to described in the following paragraphs is “Top 20 Examples and Applications of Big Data in Healthcare”.

Nowadays, we live in a generation with a dramatically growing population. What is more, according to the research from WHO, the average life expectancy is much longer than the past in most of developed countries. Before big data analysis and AI technology were introduced to the medical industries, data replication has been experiencing a severe challenge in healthcare. Data replication is a useful process of storing data at several systems at a time.

The following statements are the insight of this application

1.          Aims to make important data of patients that include medical history and general information readily available to authorized users like health care organizations, government, and doctors.
2.          Emphasizes the importance of keeping data safe and secured to prevent any unauthorized access.
3.          Generates electronic statistical reports containing demographics, allergy history, medical tests, or health checkups of all the patients.
4.          Notifying patients if they require any routine test or if they are not following the doctor’s instructions.

I believe that most people have experienced the process of waiting for seeing a doctor is extremely time-consuming, especially at the larger scale hospital. Another big data application can solve this dilemma, the prediction of the expected number of patient，
Insight of this application
1.          Helps to find a solution to the problem of predicting the number of required doctors at a specific time.
2.          Using 10 years of records from the Hospitals and apply Time Analysis techniques to measure the rate of admission into the health care organizations.
3.          Focuses on reducing the waiting time for patients and extending the quality of health care services.
4.          Provides an easy to use a platform for all type of users, including doctors, shift managers, nurses, and soon.
  

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