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Core Differentiator

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 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

Sub-minute detection latency. 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.

1

Detection

Automated rules engine continuously monitors FHIR resources

2

Classification

Variance categorized by type, severity, and root cause

3

Alert

Appropriate care team member notified via preferred channel

4

Action

Clinician reviews, documents rationale, takes corrective action

5

Resolution

Variance resolved, mitigation documented for analytics

Works With Your EMR

Variance detection integrates with your existing EMR 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

DetectedIssue→ Variance documentation
Flag→ Active alert
Task→ Action assignment
Provenance→ Audit trail

See Variance Detection in Action

Book a demo to see how real-time variance detection can transform your quality improvement initiatives.