Technical Deep Dive

From Patient Story to Clinical Clarity:
How Homy Works

A comprehensive journey through Homy's clinical intelligence workflow. See how we transform unstructured patient narratives into structured, actionable clinical insights - with safety, transparency, and human oversight at every step.

The Four-Stage Clinical Journey

Every patient interaction flows through a carefully engineered pipeline designed for accuracy, safety, and clarity.

STAGE 1

Symptom Capture: Listening First

What Happens

Natural Language Input

Patients describe symptoms in their own words through conversational interface

Adaptive Questioning

AI asks clarifying questions based on initial symptoms and context

Context Collection

Duration, severity, triggers, and associated symptoms captured systematically

→ Patient Journey Example

PATIENT INPUT

"I've had this headache for 3 days now. It's getting worse and I feel nauseous."

ADAPTIVE QUESTIONS

• Where is the headache located?

• On a scale of 1-10, how severe is the pain?

• Any sensitivity to light or sound?

• Have you experienced this before?

Safety Checkpoint: Red Flag Detection

During capture, the system continuously monitors for high-risk symptoms that require immediate escalation.

Immediate Escalation

Chest pain, difficulty breathing, severe trauma

Priority Review

Neurological symptoms, severe pain, high fever

Standard Flow

Routine symptoms proceed through full workflow

STAGE 2

Data Structuring: From Chaos to Clarity

Technical Process

Symptom Extraction

Natural language processing identifies medical entities, symptoms, and temporal markers from raw text.

Medical Ontology Mapping

Symptoms mapped to validated medical terminologies (ICD-10, SNOMED CT) for standardization.

Temporal Structuring

Timeline construction with symptom onset, progression, and duration tracking.

Data Validation

Consistency checks and validation against clinical knowledge base.

→ Data Flow Example

UNSTRUCTURED INPUT

"severe throbbing headache, right side, 3 days, worse with light, nausea"

STRUCTURED OUTPUT

symptom: "Headache"

code: "ICD-10: R51.9"

severity: "severe"

location: "unilateral (right)"

duration: "3 days"

characteristics: ["throbbing", "photophobia"]

associated: ["nausea"]

Safety Checkpoint: Data Quality Validation

Automated quality checks ensure structured data maintains fidelity to original patient narrative.

Completeness Check

All critical fields populated with valid data

Consistency Validation

Cross-field validation for logical consistency

STAGE 3

Clinical Reasoning: Intelligence at Work

Reasoning Engine

Pattern Recognition

Identifies symptom clusters and patterns consistent with known clinical presentations

Differential Pathways

Generates multiple possible clinical pathways ranked by likelihood and risk

Risk Scoring

Calculates clinical risk scores with confidence intervals and uncertainty quantification

Urgency Assessment

Determines appropriate care timeline based on severity and progression

→ Clinical Analysis Example

SYMPTOM PATTERN

Unilateral throbbing headache + photophobia + nausea (3 days)

DIFFERENTIAL ANALYSIS

87%

Migraine

Classic presentation

12%

Tension Headache

Less likely (duration)

Serious Pathology ⚠

Rule out with examination

RECOMMENDED PATHWAY

Primary care evaluation within 48h

Safety Checkpoint: Reasoning Validation

Multi-layer validation ensures clinical reasoning aligns with evidence-based guidelines and safety protocols.

Evidence Grounding

All reasoning traceable to clinical evidence

Uncertainty Flagging

Low confidence cases flagged for expert review

Audit Trail

Complete reasoning path logged

STAGE 4

Clinical Delivery: Ready for Action

Clinician Handoff

Structured Case Summary

Concise clinical narrative with key findings highlighted

Red Flags & Alerts

High-risk symptoms and urgent findings prominently displayed

Differential Insights

Ranked clinical pathways with supporting evidence

→ Clinician View Example

PRIORITY REVIEW

Case #HC-2847

Female, 34y • Severe unilateral headache (3d) + photophobia + nausea

PRIMARY ASSESSMENT

⚕ Likely Migraine (87% confidence)

Classic migraine presentation with aura

Safety Checkpoint: Human-in-Loop Override

Clinicians maintain complete authority to accept, modify, or override any AI recommendation at any time.

AI Proposes

System provides structured insights and recommendations

Human Decides

Clinician makes final decision with full override capability

The Transformation: Before vs. After

See how Homy transforms the clinical workflow from fragmented to structured

❌

Without Homy

Unstructured patient narratives scattered across channels

Clinicians spend time extracting key information

Risk signals buried in lengthy conversations

Inconsistent triage decisions across providers

No audit trail or decision documentation

✅

With Homy

Structured clinical data from the first interaction

Clinicians receive ready-to-review case summaries

Red flags automatically highlighted and escalated

Evidence-based triage guidance for every case

Complete audit trail from input to decision

Workflow Impact Metrics

Real improvements in clinical efficiency and safety

92.4%

Triage Accuracy

Validated against expert clinicians

-67%

Documentation Time

Average time savings per case

98.7%

Red-Flag Detection

High-risk symptom sensitivity

100%