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Big Data and Predictive Analytics in Health Care

Big Data and Predictive Analytics in Health Care. Presented by: Mehadi Sayed President and CEO, Clinisys EMR Inc. Today’s Presentation. About Clinisys and our research Big Data - Present and Future Analytics – The difference it makes Emerging trends in healthcare empowered by analytics.

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Big Data and Predictive Analytics in Health Care

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  1. Big Data and Predictive Analytics in Health Care Presented by: Mehadi Sayed President and CEO, Clinisys EMR Inc.

  2. Today’s Presentation • About Clinisys and our research • Big Data - Present and Future • Analytics – The difference it makes • Emerging trends in healthcare empowered by analytics

  3. About Clinisys • Clinisys is a Canadian medical information systems firm born out of a research group working in the filed of business intelligence in healthcare and user experience • The system has been an invention into technology and devices that can provide better user experience, intelligence on patient records and practice management

  4. Big Data • What is Big Data? “In information technology, Big Data is a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools. The challenges include capture, curation, storage, search, sharing, analysis, and visualization.” Source: Wikipedia contributions 2012

  5. Analytics “Analytics is the discovery and communication of meaningful patterns in data. Especially valuable in areas rich with recorded information, analytics relies on the simultaneous application of statistics, computer programming and operations research to quantify performance. Analytics often favors data visualization to communicate insight.” Source: Wikipedia contributions 2012

  6. Big Data Analytics • Data Analytics is a growing filed that has been in the spotlight for the last decade • According renowned data scientist Dr. Usama Fayyad, meaningful use of data is determined by 3Vs – Volume, Velocity and Variety

  7. From Traditional Data to Big Data Processing • Major trendsthat impacted the advances: • Cloud Computing • Rise of Social Computing media • Exponential growth in mobile computing

  8. Growth in Data • Other than traditional file systems, the transactional and stored data has changed significantly • Rise in non-structured data such as images, video, audio, messages, device data, location data has exponentially grown in the past decade

  9. Some Facts About Data Growth… • LinkedIn has more than users 175 million users • Facebook has more than 1.1 billion users • Google processes more than a billion search queries per day • There are approximately 7.85 billion indexed pages on the World Wide Web Source: worldwidewebsize.com and historyofinformation.com

  10. Indexed WWW Pages

  11. Utilization of Big Data • Utilization of such data has become a matter of research and technologies have developed to deal with large amount of data and make it more meaningful • Such data can provide extreme value to if analyzed appropriately • For example detailed study of compiled data can provide intelligence on various aspects or behaviour of an individual and even help in predicting what may happen next

  12. How Is Big Data Utilized? • Data utilization phases:

  13. Big Data Platforms

  14. Big Data Technology Stack

  15. Web 2.0 Applications

  16. Mobile Platforms

  17. Usage in Health Sector • Data discovery • Patterns • Predictive Analysis • Device Data • Research data warehouses • Pharmacology, patient management, disease prevention, decision support, future AI systems and more….

  18. Health Data Sources

  19. Our Research • Clinisys is involved in finding intelligence in medical records • Key research areas include analytics, interoperability, health data mining, clinical intelligence, data management, practice management, device connectivity and health informatics using new technologies, methods and platforms

  20. Extraction Example

  21. Questions? Contact: mehadi@clinisys.ca 780.440.1172

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