Healthcare AI fails when it doesn't know patient history. Allergies, past reactions, communication preferences, family involvement — this context saves lives. Memory makes it accessible.
Struggles with medication adherence • Prefers morning reminders • Daughter helps with appointments • Had adverse reaction to Glipizide in 2019
In healthcare, context isn't just convenient — it's critical. A patient's history of adverse drug reactions, their communication preferences, their family support system — this information directly impacts care quality and safety.
But most healthcare AI systems treat each interaction as isolated:
Maria had an adverse reaction to Glipizide in 2019. Without memory, an AI assistant might suggest it again. With memory, it knows to recommend alternatives and flag the history.
A patient consistently misses afternoon medications but takes morning ones. Without this pattern, reminders are generic. With memory, the AI adjusts timing and involves family members who've helped before.
James responds well to data and numbers. Sarah prefers simple explanations. Without memory, every patient gets the same generic communication style.
MemoryStack provides HIPAA-compliant memory storage with end-to-end encryption, complete audit trails, and patient-scoped isolation. Your AI gets the context it needs while maintaining the security healthcare requires.
Store medication history, allergies, adverse reactions, communication preferences, family involvement, and care patterns. Retrieve relevant context instantly when needed.
Identify patterns across patient history. Detect adherence issues before they become problems. Suggest interventions based on what's worked before for this specific patient.
When a patient sees a new provider, all relevant context is available. No more "tell me your history again" — the AI knows and can brief the provider appropriately.
End-to-end encryption, BAA available, SOC 2 Type II certified infrastructure. Your patient data is protected at every layer.
Every access is logged with provider ID, timestamp, and access reason. Full compliance reporting for audits and investigations.
Each patient's data is cryptographically isolated. No possibility of cross-patient data leakage, even in multi-tenant deployments.
Choose where your data lives. US, EU, or specific regions. Meet local healthcare data regulations wherever you operate.
The same simple API you'd use for any application, with healthcare-grade security built in. No complex configuration — compliance is the default.
from memorystack import MemoryStack
# HIPAA-compliant configuration
client = MemoryStack(
api_key="your-api-key",
encryption="AES-256",
audit_logging=True
)
async def patient_assistant(patient_id: str, query: str):
# Get patient history with full audit trail
history = await client.search(
query=query,
user_id=patient_id, # Patient-scoped isolation
limit=20
)
# History includes:
# - Medication history and reactions
# - Previous conditions and treatments
# - Communication preferences
# - Family/caregiver information
# - Appointment patterns
recommendation = await generate_care_recommendation(
query=query,
patient_history=history
)
# Every access is logged for compliance
await client.add(
content=f"Query: {query}\nRecommendation: {recommendation}",
user_id=patient_id,
metadata={
"type": "care_note",
"provider_id": current_provider_id,
"access_reason": "patient_care"
}
)
return recommendationStart with 1,000 free memories. HIPAA compliance included.