Patient Readmission

Using AI/ML technology developed by our team, the client hospital was able to deploy a pilot project to identify high-risk emergency patients that are likely to be re-admitted into the hospital system. Identifying such patient early in the emergency triage lifecycle reduces re-admissions, decreases significant costs to the health system and improve patient care. By deploying such solutions, hospitals and health systems can save 8-15% in their emergency budgets.

Athlete Performance Data Analysis

The project involved Canda’s premier athlete training and testing facility to develop predictive algorithms for various products under testing including perception of high-performing athletes for a particular type of shoe sole; and a project to test a product by analyzing workout data from sensors involving a global premier brand.

Detecting Heart Arrythmia Using AI

Our team helped a Canadian company develop an AI-based algorithmic structure to detect heart arrythmia from a hear monitor using AI – a job typically done by a technician that required number of human hours to manually analyze such data.

Cancer Care Resource Optimization

Our team of data scientists worked with the data team from the client hospital to analyze variety of datasets that allowed better planning and optimization of Cancer Care resources.

Pediatric Rare Disease Analytics

Our data experts worked on a pediatric rare disease symptom analysis with one of the leading experts in this domain. The AI models built during the project provided valuable insights and help validate the hypothesis.

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