Health data revolution

1. Critical Analysis of
Health Data
STEVE IDUYE
DALHOUSIE UNIVERSITY.

2. Questions
 Is health data big?
 How big is health data compared to other
data rich domain?

3. Big Data
 The concept of Big Data has transformed the way we live
 Last two decades
 Remarkable increase in global data
 90% of world’s data created in the last two years (IBM, 2013)
 Data is growing by 40% annually
 Gradually reaching 45ZB (IBM, 2013)
 When big data is mentioned, size is
what easily comes to mind

4. What exactly is Big Data?
 “A large volume of high velocity, complex, and variable data
that require advanced techniques and technologies to
enable the capture, storage, distribution, management, and
analysis of the information” (Tech America Foundation, 2012)
 Large data
 Appropriate IT
 To capture, analyze and disseminate the information

5. What constitutes a Big Data?

6. Is Health Data big?
Sources of Health Data (Canada Health Infoway Inc. 2013)
 Clinical data – structured and unstructured documents, images,
and transcribed notes
 Medical Publications – clinical research and medical reference
material
 Clinical references – text-based practice guidelines and health
product (e.g., drug information) data
 Genomic data – represents significant amounts of new gene
sequencing data

7. Is Health Data big?
Sources of Health Data (Canada Health Infoway Inc. 2013)
 Streamed data – home monitoring, telehealth, handheld and
sensor-based wireless or smart devices are new data sources and
types
 Web and social networking data – consumer use of Internet data
from search engines and social networking sites
 Business, organizational and external data – administrative data such
as billing and scheduling and other non-health data

8. Data Storage Capacity

9. Health Data vs Other Data-Rich Domain
 Approximately 2.5 quintillion bytes of data are generated
everyday (Pathak, Shah, 2014)
 In 2011, global data storage reached 1.8 ZB (Bao, Hoque)
 It will take 47million years to view all the data in HD movies
(Hoover,2013)
 Health Data constitutes just 30% of the world data
storage
 Projected to reach 25,000 petabytes in 2020 (Feldman et al., 2012)

10. Health Data vs Other Data-Rich Domain
 Other sectors have successfully harnessed the
value and the benefits of big data
Health care system is just getting started- Why?
Lack of data integration
Poor standardization of data format
Other logistic problems (Pathak, Shah, 2014)

11. Conclusion
 Health data is big, but not as compared to other data rich domain, because HD
potential benefits have not been fully optimized.

12. Reference
 Bao, Y., Hoque, R (2016) Big Data: Concepts, Methodologies, Tools, and Applications: Concepts,
Methodologies, Tools, and Application. Management Association, Information Resources. IGI
Global - p: 2478
 Emerging Technology Series (2013)Big Data Analytics in Health: White Paper (Full
Report).Canada Health Infoway Inc.
 IBM (2013) IBM’s smarter cities challenge: Syracuse. Armonk,NY:IBM Corporate. Available from:
http:/smartercitieschallenge.org/executive_reports/SmarterCities-Syracuse.pdf
 Roski, J., Bo-Linn, G., & Andrews, T. (2014). Creating Value In Health Care Through Big Data:
Opportunities And Policy Implications. Health Affairs, 33(7), 1115-22.
 Tech America Foundation(2012)Demystifying Big Data: A practical Guide to Transforming Business of
Government. Retrieved from http://ctolabs.com/wp-content/uploads/2012/10/techamericabigdatareport.pdf