Variance Detection
Real-time detection of pathway deviations. Know when patients deviate from expected care paths before outcomes suffer, not after chart review.
The Problem
Today, most variance detection happens during retrospective chart review, often weeks or months after the deviation occurred. By then, outcomes may already be impacted.
- Manual chart audits miss real-time issues
- EMR/EHR alerts lack clinical pathway context
- Quality teams reactive, not proactive
The Tessera Solution
Tessera monitors pathways in real-time, automatically detecting deviations and alerting the right person immediately, before outcomes are affected.
- Automated, continuous pathway monitoring
- Context-aware alerts with clinical rationale
- Proactive intervention before outcome impact
What We Detect
Four categories of variance, each with configurable detection rules and alert thresholds.
Schedule Variance
Missed appointments, delayed activities, timing deviations from expected pathway
Example:
Post-op follow-up scheduled at 2 weeks, patient at 4 weeks without visit
Clinical Variance
Out-of-range lab results, unexpected vital signs, clinical parameters outside thresholds
Example:
INR > 4.5 for anticoagulated AFib patient (therapeutic range 2.0-3.0)
Adherence Variance
Medication non-compliance, missed treatments, patient-reported non-adherence
Example:
Patient missed 3+ doses of anticoagulant in past week
Milestone Variance
Pathway stage not achieved on time, expected outcomes not met
Example:
Cardiac rehab phase completion delayed by 2+ weeks
Key Capabilities
Automated Detection
Continuously monitors patient pathways against expected timelines and milestones. Detects schedule, clinical, adherence, and milestone variances automatically.
Configurable Alerts
Set thresholds by severity level, from minor delays to critical deviations. Route alerts to the right care team member based on variance type.
Real-Time Monitoring
Near-real-time detection. Know when patients deviate from care paths before outcomes suffer, not after chart review.
Trend Analysis
Identify systemic patterns across your patient population. Distinguish individual patient issues from process problems.
How It Works
From detection to resolution in a closed-loop workflow.
Detection
Automated rules engine continuously monitors FHIR resources
Classification
Variance categorized by type, severity, and root cause
Alert
Appropriate care team member notified via preferred channel
Action
Clinician reviews, documents rationale, takes corrective action
Resolution
Variance resolved, mitigation documented for analytics
Why variance detection at provincial scale needs a data contract
A rule can only fire reliably if the concept it watches means the same thing everywhere. At provincial scale, that requires platform-level concept governance: stable definitionIds and linkIds, coded values from authoritative sources, and validation at the point of capture. Without it, the same clinical concept carries a different name and vocabulary in every programme, and a variance rule that works in one site silently misses deviations in another. Tessera detects variance against a governed substrate, so the same rule behaves the same way across every programme and site.
Works With Your EMR/EHR
Variance detection integrates with your existing EMR/EHR through FHIR R4. No duplicate data entry, Tessera monitors the clinical data already in your systems.
- Real-time sync via FHIR Subscriptions
- Configurable detection rules per pathway
- Analytics dashboards for variance trends
FHIR Resources Used
See Variance Detection in Action
Book a demo to see how real-time variance detection can transform your quality improvement initiatives.