GrayOS is a software platform that builds a cancer center’s digital twin to structure a clinic's resources, simulate its operations, and subsequently optimize their work-flow accordingly. Best described as an “operating system for healthcare”, our light-weight software operates on top of the cancer center’s EHR (electronic health records) to automate the patient scheduling process and provide a “control tower”, enabling intelligent strategic decision making. Specifically built to maximize the clinic’s patient throughput, while ensuring operations remain robust to disruption, operating costs are either maintained or reduced and the quality of healthcare provided remains exceptional. By integrating with the clinic’s existing systems (rather than replacing them), deployment costs & resistance to implementation are minimized.

Gray Oncology Solutions was founded in 2019 by a pair of Medical Physics PhDs and a trio of Montreal-based professors looking to translate their research into clinical practice. They have a vision of an oncology workflow where each patient’s journey through their cancer treatment is personalized for them, and statistically optimized to provide the best possible clinical outcomes. In pursuit of this vision, they’ve developed resource allocation software focused on optimizing the functional efficiency of oncology clinics (grayOS). Operationally, this translates to the optimization & automation of patient scheduling while explicitly incorporating the complex multi-disciplinary workflow resulting in reduced patient wait-times, higher patient throughput, reduced stress and ultimately, superior patient care.

Enables programming free cohort definition, brand switching, and line of therapy analyses. Results are available in seconds or minutes instead of hours or days

Rapid solutions to complex analytical issues using proprietary analytical tools. Working with all types of data (EHR/EMR, claims, clinical trials, consumer). Predictive analytics Complex cohort and segmentation analysis Patient Journey and treatment pathways