Big Data is growing fast and many industries are adopting it. There are many jobs in the field of analytics.
What is use of big data analytics in healthcare?
Healthcare is industry where Big Data analytics can be used in a number ways to provide better healthcare to the people of nation. Globally it can be used to predict diseases, research, in diagnosis and medicine research.
The possibility of data is huge in the field of healthcare and medicine research. NGOs can use the Big Data analytics to get insight of huge research data to predict about diseases and global health index of the people around the world.
Big Data analytics is promising technology and it can be used to provide cost effective treatment to the patients.
It can also be used to predict the outbreaks of epidemics which is a good predictions for healthcare professional and people of the society. To better handle the outbreaks of epidemics, preparations can be done in advance.
It can be used to avoid the preventable diseases in the society with the help of predictive analysis.
The uses of Big Data analytics are:
Analyze huge data: It can be used to analyze various type of health data and predict based on the data analysis.
Maintain Health Records: Big data can handle any amount of data at speed, volume and variety. It can be used to store all types of medical data which is useful for treating the patients.
Real-time analysis: The real-time analysis can be used to analyze data in real-time and generate alerts on various parameters.
In medicine research: It can be used to process and analyze clinical research data for medicine industry.
In Bio-information: It can be used in bio-bioinformatics to analyze gene sequence data at very high speed and in parallel. Such type of analysis was difficult earlier.
Cancer cure: It can analyze clinical data and patient cure history to come up with better treatment plan.
In Telemedicine: Big data power can used to handle various data types such as videos, communications, medicines, reports etc. to provide better solution for Telemedicine.