The following are the data analysis techniques:

1. Machine learning

2. Genetic algorithms

3. Regression analysis

4. Classification tree analysis

5. Association rule learning

6. Sentiment analysis

7. Social network analysis

Machine learning is a method used to give a computer ability to learn using a specific software without necessarily programmed.

Genetic algorithms are mostly inspired by the way evolution works.

Regression analysis involves manipulating independent variables it works best with continuous quantitative data such as age, weight or speed

The healthcare industry over the years has been producing large amount of data, which has to be preserved for future use for the benefit of the patient care and regulatory requirements. Over the years most of the data was stored in hard copy but the current trend is to digitalize the data for improving the quality and reducing the cost. One of the data analysis include the clinical data from CPOE and the clinical decision support system, example of this are doctor's prescription, insurance, medical imaging etc. The other one is the digitalized patient record form and example of this is the sensor data. Social media being one of trending and popular for networking globally it is one of the platforms for analyzing data through Facebook post and status updates, through tweets on tweeter, blogs and web pages. Lastly is the patient information and that is emergency data. Analyzing data in the health care industry plays a very big role in improving service delivery, lowering the cost and saving lives.