
We aggregate and analyze drug tests with additional public-health signals to detect patterns, anomalies, and emerging poly-drug trends. The platform forecasts risk and alerts public health, hospitals, and law enforcement at the state, county, and ZIP levels.
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DrugAlert.ai ingests laboratory test results and complementary sources such as EMS activity, hospital intake, and community programs to come. We compute co-positivity and anomaly scores, then run time-series and spatial models to predict near-term surges. When risk exceeds thresholds, stakeholders receive targeted alerts with location and substance details.
Public health teams, hospital leadership, and law enforcement analysts who need fast, localized intelligence to plan outreach and manage capacity.
Single sign-on (SAML), least-privilege access, encryption in transit and at rest, audit logging, and strict data governance ensure safe handling of all structured and semi-structured data.
We'll configure a pilot, stand up dashboards, and show your leadership how predictive alerts improve planning and response.
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