Applied Big Data Analytics: Business Analytics,Healthcare,Capital Market & Life Sciences (Bigdata Book 1) by ajit roy

Author:ajit roy [roy, ajit]
Language: eng
Format: azw3
Publisher: ajit kumar roy
Published: 2015-06-25T16:00:00+00:00

Improving Healthcare and Public Health

The computing power of big data analytics enables us to decode entire DNA strings in minutes and will allow us to find new cures and better understand and predict disease patterns. Just think of what happens when all the individual data from smart watches and wearable devices can be used to apply it to millions of people and their various diseases. The clinical trials of the future won’t be limited by small sample sizes but could potentially include everyone! Big data techniques are already being used to monitor babies in a specialist premature and sick baby unit. By recording and analyzing every heart beat and breathing pattern of every baby, the unit was able to develop algorithms that can now predict infections 24 hours before any physical symptoms appear. That way, the team can intervene early and save fragile babies in an environment where every hour counts. What’s more, big data analytics allow us to monitor and predict the developments of epidemics and disease outbreaks. Integrating data from medical records with social media analytics enables us to monitor flu outbreaks in real-time, simply by listening to what people are saying, i.e. “Feeling rubbish today - in bed with a cold”.

Big data in healthcare is a hot issue as in other fields as well. With the continuous increase of digital data, which is creating in the process of medical services and health management, big data management and analysis is becoming important. Researchers in medical services and health management enclosed within the statistical methods strictly. For example, requirement of randomness and size of sample were limited in the association studies. Big data analysis may liberate researchers from these limitations and introduce new world of analysis and research. Prediction and trend awareness of disease are typical examples of many tentative big data applications in healthcare area.

With the mandated adoption of electronic health records (EHRs), many healthcare professionals for the first time got centralized access to patient records. Now they're figuring out how to use all this information. Although the healthcare industry has been slow to delve into big data, that might be about to change. At stake: not only money saved from more efficient use of information, but also new research and treatments -- and that's just the beginning. (http://www.informationweek.com/healthcare/analytics/healthcare-dives-into-big-data/d/d-id/1251138)

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