Your clinical agent forgot the patient is allergic. Flowlines doesn't.
Healthcare agents that lose patient context between visits create safety risks, not efficiency gains. Flowlines gives them structured memory with full provenance and compliance-ready audit trails.
Why healthcare agents fail in production
The agent recommends an exercise the patient already said causes pain because it can't recall the previous consultation's findings.
Medication interactions, allergies, and contraindications need to be tracked across sessions with zero tolerance for memory gaps.
Every piece of clinical context must be traceable back to the interaction that produced it. No provenance = no compliance.
Patients don't repeat their full history every visit. The agent needs to know what it knows and what it's missing.
Auditable, structured memory for clinical continuity
Flowlines traces every clinical interaction, extracts structured fields (conditions, medications, contraindications, patient preferences), and injects them with full provenance. Every memory field links back to the trace that produced it. Signals detect safety risks, contradictions, and compliance gaps in real-time.
Signals Flowlines detects
Contraindication risk
Zero tolerance. Blocks response until resolvedAgent recommendation conflicts with known patient condition or medication. Flagged before the response is delivered.
Context contradiction
18% of sessions without memory injectionAgent states something that contradicts previously recorded patient information. Indicates memory injection failure.
Missing critical field
Coverage gap alert at <80% for safety fieldsA required field (allergies, current medications) has no value for this patient. Triggers a structured intake prompt.
Structured memory schema
Flowlines extracts and maintains these fields automatically from every trace.
| Field | Scope | Description | Coverage |
|---|---|---|---|
| conditions | user | Active diagnoses with onset dates and status | 94% |
| medications | user | Current medications, dosages, and prescribing context | 91% |
| allergies | user | Known allergies and adverse reactions | 97% |
| contraindications | user | Activities, foods, medications to avoid | 82% |
| patient_preferences | user | Communication style, language, cultural considerations | 58% |
| visit_history | user | Summary of past consultations with key decisions | 88% |
Example session
Measured impact
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