Health Analytics - Developing data science-based approaches to personalized care


Clinical and operational decisions should be based on the best available evidence, although this may depend on patient and context characteristics as well as judgement of the clinician.  As the ability to collect and process large amounts of digital data continues to expand rapidly, it is becoming possible for healthcare organizations to develop an evidence base that links process activities to patient and population outcomes.  We are addressing this challenge by developing readily accessible databases, visualization tools, sensors, and patient monitoring into a structure that provides actionable information – bridging the gap between data and evidence generation for clinical knowledge translation.

Current Examples