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Role of Big data analytics in Healthcare. 16 th January 2013. Prof. Indrajit Bhattacharya Professor- Healthcare IT, IIHMR, New Delhi Member, Standardization Committee for Electronic Medical Record (EMR ), MoHFW , Govt. of India .

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role of big data analytics in healthcare

Role of Big data analytics in Healthcare

16th January 2013

Prof. Indrajit Bhattacharya

Professor- Healthcare IT,

IIHMR, New Delhi

Member, Standardization Committee for Electronic Medical Record (EMR ),

MoHFW, Govt. of India

india key health challenges dual disease burden ncd a major challenge
India – Key Health ChallengesDual Disease Burden – NCD, a major challenge!

*CVD/diabetes data from 2005; COPD from 2006; cancer from 2004.

** Projected data for CVD/diabetes is for 2015; COPD is 2016; cancer is 2014.

Source: World Health Organization, World Health Statistics 2010

Cardio vascular Diseases (CVD)

Chronic obstructive pulmonary disease (COPD)

health goals xi th plan
Health Goals ( XI th Plan )
  • Reduce IMR to 28 and MMR to 1 / per 1000 live birth and TFR to 2.1
  • Provide drinking water and eliminate malnutrition
  • Reduce anemia in women by 50 %
  • Raise sex ration 0 – 6 years to 935 ( 2011-12 ) and to 950 ( 2016 – 17 )
  • Women and child empowerment

Source : Planning Commission ( XI th Plan on Health )

changing disease trends
Changing Disease Trends

65*

43*

212*

Source: WHO, World Health Statistics, 2010

Total Fertility Rate (TFR) estimates have declined from 2.9 in 2005 to 2.5 in 2010 .*

  • * Source : http://nrhm-mis.nic.in/ accessed on 2nd Jan 2013
trend 1 3 new data growing at 60 y y
Trend 1/3: New Data Growing at 60% Y/Y

Exabytes of information stored

20 Zetta by 2015

1 Yotta by 2030

Yes, you are part

of the yotta

generation…

….Even more true for health data

audio

digital tv

digital photos

camera phones, RFID

medical imaging, sensors

satellite images, games, scanners, twitter

CAD/CAM, appliances, videoconferencing, digital movies

Source: The Information Explosion, 2009

how big is big data
How Big is Big data ?

Reference : http://highscalability.com/blog/2012/9/11/how-big-is-a-petabyte-exabyte-zettabyte-or-a-yottabyte.html

slide8

“Today, I believe we are witnessing one of the most important inflection points in the history of technology, driven by the convergence of emerging technologies such as Big Data and business analytics, and new cloud, mobile and social computing platforms that are really transforming how individuals work and companies compete,”

  • Jeff Henley , Chairman , ORACLE
slide11

Healthcare is Next Frontier for Big Data

  • Big Data—the ability to collect, process, and interpret massive amounts of information—is one of today’s most important technological drivers. One of the biggest potential areas of application for society is healthcare.
                  • — January 19, 2012
trend 3 3 value from health data exceeds hardware cost
Trend 3/3: Value from Health Data Exceeds Hardware Cost
  • Value from the health intelligence of data analytics now outstrips the cost of hardware
    • Hadoop enables the use of 10x lower cost hardware
    • Hardware cost halving every 18 months

Value

Big Iron:

$40k/CPU

Commodity

Cluster:

$1k/CPU

Cost

a holistic view of a big data system
A Holistic View of a Big Data System:

Real Time

Streams

Real-Time

Processing

(s4, storm)

Analytics

ETL

Real Time

Structured

Database

(hBase, Gemfire, Cassandra)

Big SQL

(Greenplum,

AsterData,

Etc…)

Batch

Processing

Unstructured Data (HDFS)

slide16
“ Big data is all about finding a needle of value in a haystack of unstructured information, to help predict future” – IB, 2013

Prof. Indrajit Bhattacharya (IB)

key terms
Key Terms
  • Hadoop: An open source technology from Apache that provides the ability to cheaply process large amounts of data, regardless of its structure.

Historically, enterprise data warehouses were designed to process and store structured data, but not equipped for the agile exploration of massive amounts of unstructured data that exist today in many forms. Hadoop allows organizations to cost-effectively derive value from previously unused data sources.

  • Structured data: Data that resides in fixed fields within a record or file. Relational databases and spreadsheets are examples of structured data.
  • Unstructured data: Data that does not reside in fixed locations (e.g., free-form text, images, audio, videos files). Examples are chart notes, discharge summaries, PDF files, email messages, radiology images, blogs, and web pages.
  • MapReduce: A programming model for processing large data sets, which is typically used to do distributed computing on clusters of computers.
what is
What is
  • Large Scale Batch Data Processing System
    • MapReduce for computation and Hadoop distributed file system (HDFS) for storage
  • Big Data
    • Hadoop scales by using commodity hardware
traditional vs big data open source software framework hadoop
Traditional vs Big Data ( open source software framework Hadoop)

“ ..with Big Data, value is in the eyes of the data scientist”

big data defined 4vs
Big Data defined (4Vs)

A new generation of technologies and architectures designed to extract value economically from very large volumes of a wide variety of data by enabling high-velocity capture, discovery, and/or analysis. –IDC

Data Variability - Fuziness

Data Volume—Large

Data Variety—Unstructured

Rapid Velocity—Complex

Same data element might mean differently depending on context change and also might be transient and yet important

High updates of data for events that do undergo high transience are serious matter of concern

Electronic Medical Records (EMRs) and other systems driving paper conversion to digital form.

Data in different formats and sub-applications, distanced in space and time

case study yahoo front page
Case Study: Yahoo Front Page
  • twice the engagement

Personalized

for each visitor

  • Result:
  • twice the engagement

News Interests

Top Searches

Recommended links

+43% clicks

vs. editor selected

+79% clicks

vs. randomly selected

+160% clicks

vs. one size fits all

slide22
India Health Portal (IHP) being planned, needs to be personalized for every user using Big Data Analytics in healthcare !
big data opportunities in health
Big Data opportunities in health

Increased awareness of consumer trends

Treatment planning

Health and social services continuity planning

Waste and fraud detection

Population health management

Surveillance and health management

Improved research

slide25

Measuring Performance : NQF-Endorsed® Standards

NQF ( National Quality Forum ) Reports

big data opportunities in health1
Big Data opportunities in health

Correlational Data

Geo-environmental, weather patterns, etc.

Clinical Data

EMRs, diagnostic images

Claims & Cost Data

Claims, revenue cycle

Big Data Opportunities

Patient & Consumer Data

Purchasing patterns, social media

Pharma & Life Science Data

Clinical trials, genomics

technology trends
Technology Trends

2013

6. Big Data

?? Big Data

Source: Microsoft survey of industry analysts and customers

conclusion
Conclusion
  • Big data analytics in Healthcare requires skills in IT, Mathematics and Medicine ….

India is a leader in all three, and has potential to be a leader in this field…

  • Standards in Healthcare IT and India Health Information Network Development ( i-HIND) needs to be in place urgently, to derive its benefits
slide30

“An investment in Big Data Analytics in healthcare can lead to better outcomes at lower costs”

indrajitbhat@gmail.com

References

IAMI, IBM, Google, Microsoft, Vmware, Oracle

Ideal Analytics, IDC, Yahoo, Apache, Fidelity ,MoHFW, Wipro, McKinsey & Co., HIMSS