This document discusses how big data analytics is being used in healthcare. It defines big data analytics and how healthcare big data is collected from various sources. Big data analytics allows for prevention of diseases by providing a comprehensive view of patients. It provides examples of how big data helped fight Ebola by tracking population movements and predicting virus spread. Big data can also help address issues during natural disasters by accessing past records. The document outlines some use cases and benefits of big data in healthcare, as well as obstacles to its use.

1. HEALTH CARE IN BIG
DATA ANALYTICS
BY
M.SRI NANDHINI,
II- M.SC(CS),
NADAR SARASWATHI COLLEGE OF ARTS &
SCIENCE,
VADAPUTHUPATTI,THENI.

2. BIG DATA ANALYTICS
• Big data analytics is the use of advanced
analytic techniques against very large, diverse
data sets that include structured, semi
structured and unstructured data, from
different sources and in different sizes from
terabytes to zetabytes.

3. BIG DATA IN HEALTH CARE
• Healthcare big data refers to the vast
quantities of data that is now available to
healthcare providers.
• As a response to the digitization of healthcare
information and the rise of value-based care,
the industry has taken advantage of big data
and analytics to make strategic business
decisions.

4. WHY HEALTHCARE IN BIG DATA ANALYTICS
• With healthcare data analytics, prevention is
better than cure and managing to draw a
comprehensive picture of a patient will let
insurances provide a tailored package.
• Earlier physicians used their judgments to
make treatments decisions, bur the last few
years have seen a shift in the way these
decisions are being made by the use of data.

5. EXAMPLES
1.Big data helps fight Ebola in Africa:
• Big data helps predict the spread of epidemics
• Population movements can be tracked & stored
via phone location data & current health status.
• Predict the spread of the virus.
• This gives insights about the most affected areas.
• Which, in turn, leads to better planning of
treatment centers and enforcing movement
restriction in those areas.

6. CONT….
Big data helps issue in natural disaster:
• Big data can help gathering previous records
after disaster.
• It can be predict possible health issues.
• It is available of every possible medicines.

7. PURPOSE OF HEALTHCARE IN DATA
ANALYTICS
• Using data-driven findings to predict and solve
a problem before it is too late.
• Access methods and treatments faster, keep
better track of inventory.
• Involve patients more in their own health and
empower them with their tools to do so.

8. ANALYZING DATA HELPS IN
HEALTHCARE
Some big data case studies in healthcare are as
follows:
1.Asthmapolis:
• A GPS enabled tracker.
• Information stored in cloud.
• Identify trends about individuals, groups and
populations.
• Merged with information.

9. CONT…..
2.AiCure:
• Uses mobile technologies, facial recognition
technologies, big data and spark.
• It stores patient behavioral records.
• It examines if a patient is taking the right
medications at the right time.

10. OBSTACLES IN BIG DATA HEALTHCARE
1. Lack of information sharing.
2. Information privacy.
3. Information security.
4. Not enough efficient algorithm.
5. Only beneficial for tech people.
6. Less amount of technology.
7. Cost is high.
8. Only easy for big organization.

11. CONCLUSION
• With today’s always-improving technologies,
it’s becoming easier not only to collect such
data but also to converting it into relevant
critical insights that can then be used to
provide better care.