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Big Data in Healthcare: Real-time Health Monitoring and Intervention


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This case study looks at how one hospital used real-time data streaming from health monitors to detect infections sooner. This was especially effective in the neonatal intensive care unit. Watch a video or read the complete case study at

Art & animation by Angela Tuminello

Published in: Health & Medicine
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  • This is such an awesome story and providers and researchers around the U.S. are leveraging this technology for other illnesses as well including brain ischemia and cardiac care. If you want to learn more attend this webinar on December 17th: 'Using Big Data to Improve Outcomes and Reduce Disparities among Newborns and Infants'. Register here:
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Big Data in Healthcare: Real-time Health Monitoring and Intervention

  1. 1. Big Data in Healthcare University of Ontario Institute of Technology:Real-time Health Monitoring and Intervention
  2. 2. There is boundless data in healthcare about every patient, condition, procedure and drug across multiple providers and
  3. 3. The ability to access, manage, connect and understand this data to create actionable insights is critical to improving care and
  4. 4. Case Study University of Ontario Institute of TechnologyReal-time Health Monitoring and Intervention
  5. 5. Nosocomial (hospital-acquired) infection can be fatal to fragile patients like premature
  6. 6. Monitors record data indicating subtle changes in the vital signs of infected infants 12 to 24 hours before any outward symptoms
  7. 7. These changes are not significant enough to trigger an alert, and the flow of data is too rapid and abundant for the human mind to process in
  8. 8. So this information, which could stop an infection from becoming life-threatening, goes
  9. 9. The University of Ontario Institute of Technology teamed with IBM Research and the Toronto Sick Kids hospital to develop a highly flexible platform, Project Artemis, aimed at helping physicians make better, faster decisions in patient
  10. 10. Project Artemis’ first test was to determine how to detect nosocomial infection sooner, taking advantage of the streaming physiological data from
  11. 11. Using specially-designed algorithms to perform real-time analytics, Project Artemis can spot certain anomalies as soon as they appear. Solution Components IBM InfoSphere™ Streams • IBM DB2®
  12. 12. As a result, physicians can provide critical treatment to infants up to 24 hours before the infection gets worse— making a life-saving
  13. 13. Different organizations are now utilizing Project Artemis’ early-warning capabilities for other conditions that can be detected through subtle changes in data streams, such as brain ischemia and cardiac care. Learn more about Project Artemis in the full case study.
  14. 14. This and many other healthcare organizations are pioneering the big possibilities that big data
  15. 15. The IBM big data platform extends the value of your existing technology by tapping into all traditional and non-traditional sources of data and effectively managing, integrating, governing and performing analytics on this torrent of complexity and data
  16. 16. Take the first steps toward change.