ORCHID Analytics is a health-tech company providing AI-driven predictive analytics to solve healthcare’s biggest management challenges.

Our algorithms are the innovative engine of our platforms, whether using them separately or in combination, they are designed and tested in different settings and take into account all the users’ workflows.

As a member of CAN Health Network, ORCHID is currently working with a downtown Toronto hospital, to pilot a solution addressing surgical backlog and staffing challenges.

ORCHID Analytics’ surgical scheduling optimization platform addresses scheduling challenges within surgery, focusing on the entire surgical patient journey in the hospital, from preop to postop to inpatient unit, allowing the healthcare organizations to test different strategies to be able to make more informed decisions. For example, it can show how opening up operating rooms over the weekend reduces the waitlist and also the resources (ie. beds, nursing) that will be required.

We build cutting edge custom AI decision tools to transform your healthcare operations and management to increase patient access, decrease wait times, and reduce healthcare delivery costs.

More than experience we bring real expertise. We are able to design or use our model library to solve your operational challenges including capacity management, scheduling, patient flow, staffing, and resource utilization.

We're not just data people. We have several products that can inform your operational planning by providing you actionable intelligence for scenario analysis for the current or future states.

We help healthcare organizations transform their internal processes.

Our solutions enable these organizations to make evidence-based decisions.

This results in a more-efficient system and reduces costs associated with trial and error.

Our mission is to create a reality in which healthcare processes have been designed to support seamless care, where individuals recieve care without feeling overwhelmed, lost or worried and provideers are free to focus on patient care.