Our predictions are highly accurate and provided through a user-friendly interface, designed for convenient use by busy doctors and nurses.
Signal 1 Staffing Solution
Improve staffing assignment
We predict which patients are higher-risk and higher-workload, enabling managers to optimally distribute patients across staff.
Signal 1 Deterioration Solution*
Identify clinical deterioration early
We detect which patients are at high-risk for clinical deterioration and notify care teams in real-time.*Signal 1 Deterioration Solution not yet available for sale. Investigational use only.
We are commercializing a solution that has been in use at St. Michael’s Hospital since 2020.
improvement in clinicians’ ability to accurately predict patient deterioration1
reduction in in-hospital mortality rate of high-risk patients after deployment2
1 – Verma AA, Pou-Prom C, McCoy LG, Murray J, Nestor B, Bell S, Mourad O, Fralick M, Friedrich J, Ghassemi M, Mamdani M. “Developing and validating a prediction model for death or critical illness in hospitalized adults, an opportunity for human-computer collaboration.” Crit Care Explor. 2023 May 1;5(5):e0897. doi: 10.1097/CCE.0000000000000897. PMID: 37151895; PMCID: PMC10155889.
2 – Based on research from St. Michael’s Hospital, under preparation for publication.
“Machine learning solutions are now part of daily patient care at our hospital, enabling our staff to make better decisions and deliver better patient outcomes.”
Clinician-Scientist, St. Michael’s Hospital Temerty Professor of AI Research and Education in Medicine, University of Toronto
Built on an award-winning AI technology stack designed to deliver accurate and explainable predictions.
years of data
clinical features per patient encounter
Learn how we can support your hospital
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