Patient context that persists across every interaction
Medical AI assistants that remember patient history, medication interactions, and care preferences across sessions. HIPAA-ready architecture keeps data compliant.
Why healthcare AI needs memory
Patients repeat their medical history every session. Allergies, medications, and conditions are re-collected instead of remembered.
Medication interactions require temporal reasoning. Knowing a patient took Drug A last month and started Drug B this week is critical context that stateless agents miss.
Therapy and mental health chatbots lose continuity. A patient mentions anxiety triggers in session 3, but the agent has no memory of it in session 7.
Compliance requirements demand audit trails. Every piece of patient data must be traceable, with clear provenance and consent management.
How DeltaMemory addresses healthcare
Patient Profile Extraction
Automatically builds structured patient profiles from conversations: conditions, medications, allergies, care preferences. Updated with each interaction.
Temporal Medical Reasoning
82.2% temporal accuracy means DeltaMemory correctly distinguishes between past and current medications, conditions, and treatments.
HIPAA-Ready Architecture
Encryption at rest (AES-256), encryption in transit (TLS 1.3), audit logging, consent controls, and on-premise deployment options.
Medication Interaction Context
Knowledge graph tracks relationships between medications, conditions, and patient history. Multi-hop queries surface relevant interactions.
Session Continuity
Therapy bots and care assistants maintain full context across weeks of interactions. No patient repetition. No lost context.
Complete Audit Trail
Every memory operation is logged with timestamps and provenance. Track what was stored, when, and which memories influenced a response.
The difference memory makes
A patient tells a therapy chatbot about workplace stress triggers in session 3. By session 7, the bot has no memory of this. The patient has to re-explain their situation. The therapeutic relationship feels impersonal and repetitive.
In session 7, the therapy bot recalls the workplace stress triggers from session 3, notes the patient mentioned a job change in session 5, and asks how the new role is affecting those triggers. The conversation builds on previous sessions naturally.