Boosting India’s healthcare

With the huge amount of data being generated in India's healthcare sector, experts believe sophisticated software tools like Hadoop can help "sort and make sense" of the information - such as medical records or clinical trial records - to enhance access to and availability of services for the common man.

This sheer volume of raw and unstructured data is referred to as Big Data and is virtually everywhere - whatever you post in a social networking platform, the uncategorised information stored by companies on their servers, even the URLs you bookmarked - all that and more come under it.

Technologies like Hadoop are used to analyse, crunch and sift through all that information. It helps one manage and deduce what certain parts of the data mean and this could in turn indicate trends, patterns and predictions.

Nowadays, the healthcare industry is flooded with enormous amounts of data - around 80 per cent of medical data is unstructured - that need validation and accurate analysis, said D Peter Augustine, assistant professor, Computer Science department at Christ University in Bangalore.

"The integration of patient data, data on the effects of drugs, medical data, research and development data and financial records by healthcare and life sciences companies, can help in identifying the patterns that give enhanced and more proactive healthcare," Augustine said on Friday.

In addition, if healthcare companies can integrate patient data together with social media content into their data management system, they can even get "better collection of information from which the associations concealed inside can be revealed".

Though Hadoop has proved indispensable for a thriving career in the IT and data analytics industry and has made inroads in the corporate sector as well, its potential is yet to be explored in India's healthcare and life science industries, said Mainak Maheshwari, Director (Talent) at Gurgaon's Absolutdata Analytics.

"Big Data and Hadoop are everywhere. However, in India, as far as the healthcare sector is concerned, it is not explored as much.

"Typically you will see that insurance companies would have huge amounts of data regarding health insurances. Big hospital and healthcare chains, which are not many in India, also have a good amount of data, especially like the patients' database," Maheshwari pointed out.

Diwakar Chittora, CEO of Jaipur's Intellipaat.com, an online platform for high quality low cost courses, concurred.

He said biological computations, such as gene sequencing and weather forecasting, require intensive algorithms and this means those with a Hadoop skill-set, especially bio-informaticians, can do the job in lesser time.

For example, he said, genetics related data requires computer-intensive algorithms and because Hadoop can harness the processing power of thousands of computer servers, spotting gene mutations, common patterns and the like can be accomplished in a matter of minutes instead of days or weeks.

Other promises include its low cost, scalability, data storage ease and flexibility, inherent data protection and self-healing capabilities.

"It can help in getting more business in these areas as well as enhance access to other health and science-related information which can used by people," said Chittora, who is in talks with a major healthcare group for Hadoop training.

Augustine said achieving better outcomes at lower costs has become very important for healthcare, and Big Data analytics and Hadoop's presence are positively part of the solution in reaching that goal.

"Availability does not mean only the availability of hospitals and healthcare professionals, but it includes the necessary and accurate data on the desktop.

"Accessibility does not only mean the ability to reach the hospitals but information related to the patient, medicine and all relevant information," he said.

By: Sahana Ghosh