Precision Medicine

  • May 22nd, 2017
  • Guy Paterson

From Prediction to Precision Medicine

A recent article in Health IT Analytics discusses the convergence of Genomics, Information Technology, Analytics, Artificial Intelligence and Interoperability to develop tools to move the field of genomics from a specialized discipline of academic biology into a mainstay of clinical care.

Recent advances in machine learning, interoperability, and predictive analytics are beginning to unlock the value of genomics, shifting the field from abstract research and broad conjecture about a patient’s future into precise, detailed, and actionable information about how specific actions will impact an individual’s health.

The solutions rely on a number of elements including Artificial Intelligence and Machine Learning, Predictive Analytics, and ability to dig through massive data sets involved in genomics using new techniques such as Fast Healthcare Interoperability Resource (FIHR), a data standard that uses the same technology as the internet to enable the retrieval of health information.  Instead of relying on document-based exchange – basically emailing pre-defined packets of static information back and forth between EHR systems – FHIR creates a unique identifier for every piece of information that anyone with a FHIR “browser” application can access.  Every data element, or resource, gets its own standardized, shareable identifier that acts like the URL of a webpage. 

The FIHR data standard has the potential to make it faster, easier, and cheaper to take advantage of the growing wealth of health, genetic and environmental data being produced across the care continuum.  This allows uses of diverse data that have never been brought together before to provide insights into something that we couldn’t possibly have known without assembling the data and viewing in new ways.

From Health IT Analytics May 8, 2017


Guy Paterson Co-Chair - Health Opportunities - Greater Saskatoon Chamber of Commerce

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