Trending, Here Are 3 Interesting Examples of Big Data Cases in Health!

Big Data - Big Data is a trending technology. It is estimated that in the future Big Data will become increasingly popular. Big Data itself is a new technology which contains information that enables the processing, storage and analysis of various data. The various data differ from the format, the large amount of data and also the data growth that is so fast.

Analysis and processing of large amounts of data takes a long time. By using Big Data the process is much shorter than previous data technologies such as MySQL and so on.

Big Data Case Studies in the World of Health

It is not only the meaning of Big Data that you need to know, but you should know about examples of cases of Big Data in the health sector, such as the following:

Improve Service

The first case of Big Data in health is improving services. The hospital uses Hadoop to build a data lake which is used as the main data storage. Big Data is capable of processing 3000 data feeds with 45 types of data every day.

Stored data includes laboratory tests, medical record data, doctor's prescriptions, immunizations, drugs, claims and also payments. Big Data is also used to store data related to claims from doctors and hospitals.

Data is used to make decisions in increasing revenue and reimbursement. The growth in the number of clients is accompanied by a very rapid volume of data making this infrastructure burdened so that Big Data is the right solution.

Monitoring the Patient's Vital Condition

Hospitals around the world are starting to use Hadoop. The goal is to help staff work efficiently. Without Hadoop, Big Data will not be able to analyze unstructured data.

An example is Children's Healthcare of Atlanta, which treats more than 6.2 thousand children in the ICU, the average duration of this ICU stay varies. There are 1 month to 1 year. The hospital uses bedside sensors where it functions as a tracker for the patient's vital condition. For example, it is blood pressure, heart rate to respiration.

This sensor will produce large data. Ordinary systems will not be able to store the data for more than 3 days due to storage costs constraints. Even though hospitals need this data to be analyzed. If later there is a change in pattern, the doctor and assistant team will get an alert.

Big Data for Abuse and Fraud

There are a lot of scams at this time. At least 10% of insurance payments are related to false claims. Worldwide, this one case could be worth billions of dollars. In fact, this false claim is not new. The complexity of this insurance fraud is increasing. This makes the insurance company overwhelmed in dealing with it.

Insurance companies use Big Data to ensure the integrity of their payments are paid correctly and on time. The company also focuses on allocating savings while implementing innovations that continue to take advantage of the latest technology.

In savings management, will make a predictive analysis which is used as a systematic identification of inaccurate claims. The Hadoop used can analyze information quickly and accurately from claims, participant plans and recipes. In addition, it can also analyze contracted health service providers and the results of the related team reviews.

Big Data is a sophisticated technology that can accommodate large amounts of data. As the example of the Big Data case described above, in the implementation of all data in Big Data, the volume is large and unstructured, you can use SOLTIUS's services to apply Big Data technology to the maximum in your business, with the right implementation of Big Data you can analyze all sized data. large, then make a decision quickly and precisely, contact our contact for further consultation or click on the following link: https://www.soltius.co.id/solutions-by-products/data-management