Root Cause Intelligence Explained

Root Cause Intelligence is a feature within the Clinical Insight section of a case. It analyzes the case signals and surfaces possible physiological drivers worth investigating.

What It Does

After Detected Patterns identifies clinical themes, Root Cause Intelligence asks: What underlying systems might be contributing to these patterns?

It produces a short list of possible root drivers, each with:

• A confidence level (high, medium, low)

• The signals from the case that support that hypothesis

• A brief clinical explanation

Example Output

For a case with fatigue, digestive complaints, and sugar cravings:

• Gut microbiome imbalance — High confidence

  Signals: digestive symptoms, metabolic cluster, notes mentioning bloating

• Blood sugar dysregulation — Medium confidence

  Signals: sugar cravings, energy crashes, metabolic pattern

• Chronic stress / HPA axis strain — Medium confidence

  Signals: fatigue pattern, adrenal markers in notes

What It Is Not

Root Cause Intelligence is a clinical reasoning assistant, not a diagnostic engine. It highlights possibilities based on available signals — your clinical judgment determines which are relevant for this patient.

Strengthening Confidence in Root Causes

For some cases, PraxPilot may suggest areas to further validate identified root causes.

These are designed to help you:

• Confirm underlying drivers

• Identify missing clinical signals

• Improve confidence before finalizing treatment

How this differs from pattern prompts

• Detected Pattern prompts → help refine observed signals

• Root Cause prompts → help validate deeper physiological drivers

Both are designed to support clinical accuracy and confidence.

When It Works Best

Root Cause Intelligence becomes more useful when cases include:

• Specific symptom clusters

• Detailed clinical notes

• Lab markers or uploaded lab panels

Availability

Root Cause Intelligence is available on paid plans and appears within the Clinical Insight section of a case.