TOP 5 CHALLENGES OF BIG DATA ANALYTICS IN HEALTHCARE

WHAT IS BIG DATA ANALYTICS?

Big data analytics means extracting information or hidden patterns, trends, and connections by dealing with big data sets that can help the organization to make more profits. Big data analytics can help the organization to improve business insights.

Some of the industries that use big data analytics are large public service sectors, retail store businesses, healthcare companies, etc. Data analytics tools like Hadoop, MapReduce, Hive, etc. are used to recover, explore and merge data that provides greater insights to any business.

HOW IS BIG DATA ANALYTICS USED IN HEALTHCARE?

Big data analytics is used in almost every field these days. With the developing world, big data analytics has made its way to the healthcare sector as well. Big data analytics plays a very important role in the healthcare sector because it analyzes all of the unstructured and structured data produced by the healthcare research centers.

The basic function of big data analytics in health care is to study and organize the physical and clinical data of the consumer or patient available which is too complex to be done by the old data processing methods.

CHALLENGES OF BIG DATA ANALYTICS IN HEALTHCARE

The various challenges faced in healthcare are as follows:

·        Capturing clean data

Most of the organizations face the challenge of capturing data that is clean and can be used properly in systems. As the data comes from an unknown source, most of the times it is hard to find data that is helpful in organizing and maintaining records. The organizations can solve this problem by setting their priorities right. By giving more importance to valuable data types, accurate and clean data can be captured.

 

·        Cleaning the data

As it is important to capture valuable data, it is equally important to clean the data which are not valuable or accurate. Dirty data can create many problems in the system and it becomes very difficult for the analysts to work on it. The process of cleaning data is called cleaning or scrubbing. This process helps in making the data clean and accurate. The cleaning of data can be done manually or automatically. Automated data cleaning uses scrubbing tools that are offered by many of the IT vendors today.

 

 

·        Storage of data

Storage of data is a big problem faced by the organization these days to store data at a place from where it can be used whenever it’s needed. Choosing a storage system that ensures security and access is very important.

 

·        Data security

It is the most important factor that any healthcare organization considers. Data must be protected from hacking and other ransomware episodes. Healthcare centers are held responsible for every kind of security issue taking place.

 

·        Reporting the data

The data analysts have to produce a report that is concise and reaches directly to the target audience. It is the responsibility of the organizations to generate a clear report so that the administration can use the data that they need.

 

RESOURCE BOX

ExcelR provides Data Analytics Courses  which help you gain insightful knowledge. They operate through a practical teaching approach delivered by extremely adept and experienced teachers. Furthermore, they offer pre-placement support and guidance. Besides this, they try their best to help their students in every way possible.


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