Applications

Manage all your AI applications in a single pane-of-glass

Easily deploy models developed by your internal teams as well as Signal 1 and third-party applications.

Interface screenshot of Signal 1's AI HQ platform

Get started with Signal 1’s out-of-the box AI applications targeting key operational and clinical pain points.

Signal 1 Discharge Solution

Accelerate discharge planning

We identify patients who are approaching the end of their hospital stay and could be prioritized for discharge assessment and planning.

A tablet displaying an interface report called the Discharge Priority Report

42%

decrease in patients with 4+ days of excess stay

Based on solution pilot at Trillium Health Partners, Toronto, Canada

Learn how machine learning can support and improved discharge planning process.

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.

16%

improvement in clinicians’ ability to accurately predict patient deterioration1

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.

We are commercializing a solution that has been in use at St. Michael’s Hospital since 2020.

26%

reduction in in-hospital mortality rate of high-risk patients after deployment2

2 – Verma AA, Stukel TA, Colacci M, et al. Clinical evaluation of a machine learning–based early warning system for patient deterioration, CMAJ Sep 2024, 196 (30) E1027-E1037.

Read the full study.

“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.”

– Dr. Amol Verma

Clinician-Scientist, St. Michael’s Hospital Temerty Professor of AI Research and Education in Medicine, University of Toronto

Delivered through our enterprise AI platform and integrated directly into existing tools and workflows.

10+

years of data

125,000+

patients

200+

clinical features per patient encounter

Use existing data with no extra work

We work with your data as is, and require no manual data entry by your team.

Deployed in as little as 60 days

We integrate with existing EMRs, using standards such as FHIR protocols, to enable a quick setup.

Gain insights powered by our patented explainability tools

We link to the underlying clinical data making it easy for you to understand what’s driving model predictions.

AICPA SOC 2 & HIPPA certification badges

Learn how we can support your hospital

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