Skip to main content

Predictive analytics for improved, data-driven care

A real-time clinical informatics platform that optimizes patient outcomes, cost savings, and caregiver efficiency

scroll for more

PredictiCare develops, implements and supports a ground breaking addiction / Substance Use Disorder (SUD) treatment platform employing real-time analysis of patient data to convert raw information into actionable clinical knowledge. The platform incorporates wearable devices, mobile phones, workflow automation, and machine learning to detect and predict adverse events before they become critical. This results in improved medical outcomes and reduced costs.

Substance Use Disorder

Drug and alcohol addiction, medically referred to as Substance Use Disorder (SUD), afflicts millions of people around the world.  Deaths from opioid overdose are rising as is the cost for treating SUD. The direct cost of treatment in the U.S., Canada, the U.K. and core EU is currently estimated to be $45 billion.

Opioid mortality chart

SAMSHA and CDC/NCHS, National Vital Statistics System, 2015

The PredictiCare Solution

PredictiCare is a comprehensive cloud-based solution that combats addiction by enhancing and reducing the costs of effective treatment. Patient data is pushed passively 24/7 to our Prognostics Engine which sends alerts when trouble starts and predicts future adverse events. Our HealthDesk workflow management system, manned by a live person 24/7, decreases the load per patient for caregivers and enables the caregivers to provide superior and potentially lifesaving care for their patients. We provide the training and support to setup a system that ensures optimal performance.

The PredictiCare Advantage

Most “predictive analytics” software produces fixed rules, or algorithms, based on data-mining of historical healthcare information. PredictiCare conducts continuous calculations of adverse event probability for each individual based on data gathered across the global network of patients. This creates a personalized real time clinical prognosis that produces better outcomes for the patient and reduces the high costs related to adverse events and inpatient treatment. 

Current Treatment Methods PredictiCare system 
Heuristic approach Personalized prognosis that continuously increases in accuracy
Requires manual input of data Passive data stream
Episodic monitoring Long term 24/7 “virtual hospital” monitoring
Only utilizes historical data from Electronic Health Record (EHR) Real time intelligence that doesn’t rely on historical data only
Data is not comparable against other patients Live data is directly comparable amongst patients
Caregiver must respond to every situation/call HealthDesk and Prognostics Engine act as a triage to reduce the demand for caregiver time
Back to Top