Healthcare

Stellar SOAP

Opioid risk prediction that gives clinical teams a meaningful window for intervention. SOAP uses machine learning to identify patients at elevated risk of opioid use disorder up to 90 days before a crisis would typically present, so care teams can act before a prescription becomes a dependency.

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Days early detection

4,200+

Patients monitored

EHR

Integrated workflow

Risk Score Monitor

Patient ID 4471

Long-term opioid prescription, recent dose increase, social risk factors elevated

Patient ID 2083

History of substance use, multiple ED visits, new opioid prescription

Patient ID 6312

Post-surgical pain management, monitoring recommended

Patient ID 8901

Short-term prescription, no prior history, social indicators stable

The Clinical Problem

Clinicians Can't See Risk That Hasn't Surfaced Yet

The opioid crisis has claimed more than 500,000 lives in the United States over the past two decades. The dominant response model is reactive: a patient presents in crisis, receives treatment, and hopefully enters recovery. By the time the crisis presents, the window for prevention has already closed.

Most EHR systems flag patients after an overdose or a diagnosis. Stellar SOAP flags patients before dependency develops, identifying behavioral, clinical, and demographic signals that, in combination, predict elevated risk months in advance.

The platform doesn't replace clinical judgment. It informs it. A SOAP risk score gives a care team a reason to have a different conversation during what would otherwise be a routine visit.

80K

Opioid overdose deaths in the U.S. in 2023

$78B

Annual economic burden of prescription opioid misuse

90 days

SOAP's average early detection lead time

Widely adopted predictive risk tools in standard clinical practice today

How SOAP Works

A Risk Engine Built for Clinical Reality

EHR Data Integration

SOAP connects directly to existing EHR systems via HL7 FHIR APIs. No data re-entry required. The model runs continuously on live clinical data.

Multi-Factor Risk Scoring

The ML model evaluates over 40 clinical, behavioral, social, and prescription-history variables to generate a risk score between 0 and 100 for each patient.

Clinical Dashboard Integration

Risk scores and care pathway recommendations appear directly within the clinical workflows care teams already use, not in a separate tool they have to remember to check.

Care Pathway Recommendations

For elevated-risk patients, SOAP generates a recommended intervention protocol. Clinicians review and approve; the platform provides the intelligence to act on.

Population Health View

Health system and payer dashboards show risk distribution across the full patient population, enabling proactive care management at the cohort level.

Outcome Tracking

SOAP tracks patient outcomes over time, continuously updating the model based on real-world intervention results. The system improves with every data point it processes.

Continuous Monitoring

The Risk Agent Runs Every Day, on Every Patient

Stellar SOAP doesn't require a clinician to manually initiate a risk assessment. The monitoring agent evaluates every patient in the enrolled population every day, updating scores as new data flows in from the EHR. When a risk score crosses a threshold, the agent surfaces the alert directly in the care team's workflow.

The platform is designed to be invisible to patients and frictionless for clinicians. It adds intelligence to the existing process rather than replacing it with a new one.

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SOAP Predictive Analytics Platform

Today

Monitoring 4,200 patients across 3 health systems

4,200 patient scores updated in the last 24 hours

14 new high-risk flags surfaced to care teams

3 care pathway recommendations generated

Prescribing change detected in 8 patients, scores updated

2 intervention outcomes logged, model updated

All activity HIPAA-compliant, full audit trail maintained