Patient-like-mine: A real time, visual analytics tool for clinical decision support

摘要

We developed a real-time, visual analytics tool for clinical decision support. The system expands the "recall of past experience" approach that a provider (physician) uses to formulate a course of action for a given patient. By utilizing Big-Data techniques, we enable the provider to recall all similar patients from an institution's electronic medical record (EMR) repository, to explore "what-if" scenarios, and to collect these evidence-based cohorts for future statistical validation and pattern mining.