Digital Intelligence. Clinical Integration. Real-time Dashboards.
Prescriptive analytics can tell a user what course of action would produce the highest likelihood of maximum benefit when a predicted event does occur. This is the aim of clinical decision support applications and many of the artificial intelligence initiatives that are currently cropping up across the industry.
DADOS Predict allows users to easily integrated predictive models into the clinical or study workflow. Data collected using DADOS is synoptic and of high quality, ideal for training predictive models. The resulting predictive model can be easily integrated within DADOS to be applied to prospective patients. The results of these predictions can be integrated into dynamic visualizations to provide actionable insights to the research or clinical team.
The algorithms for this clinic support tool were developed by the Arthritis Data Science team at UHN.
Led by Drs. Raja Rampersaud and Christian Veillette, orthopaedic surgeons, and with the support of DADOS and the Techna Institute