Built for HIPAA-compliant deployments with full audit trails and source linking.
Why Memory Matters in Healthcare
Patients Repeat Themselves
Every visit starts from zero. History, context, preferences - all lost.
Critical Context Gets Buried
That CT scan from 8 months ago? The med change last week? Invisible when it matters most.
Care Doesn't Compound
Therapy sessions, chronic disease management, recovery plans - none of it builds.
Clinicians Burn Out
Hours spent on chart review instead of patient care.
Use Cases
1. Emergency Triage with Full Patient Context
A patient arrives with chest pain. Your AI agent instantly surfaces their cardiac history, recent medication changes, last stress test results, and that allergy buried in a scanned PDF from 2019. What mem[v] delivers:- Visit-specific summary tuned to the chief complaint
- Longitudinal view across imaging, labs, meds, and notes
- “What’s changed since last visit” highlights
- Direct links to source documents
2. Multimodal Chronic Care Coordination
Diabetes. Hypertension. CKD. Three specialists. Twelve medications. One patient who shouldn’t have to repeat their story. mem[v] connects the cardiologist’s echo, the nephrologist’s notes, the PCP’s med changes, and the patient’s own voice - so every clinician sees the full trajectory, not just their slice. What mem[v] delivers:- Cross-specialty medication reconciliation
- Lab trends across care settings (A1c, eGFR, lipids)
- Patient-reported symptoms from portal messages and calls
- Imaging findings surfaced at the right moment
3. Mental Health Continuity
“The insomnia gets worse when work stress peaks. It takes me hours to fall asleep, and I wake up exhausted.”Three sessions later, your agent still knows. It remembers the sleep hygiene changes that helped, tracks the correlation between stress patterns and sleep quality, and builds on previous progress week over week. What mem[v] delivers:
- Session-over-session emotional pattern tracking
- Memory of what worked (and what didn’t)
- Personalized support that compounds over time
AI mental health agents augment licensed professionals - escalation pathways are built into every deployment.
4. Discharge That Actually Works
She’s 78, lives alone, has mild cognitive impairment, and fell six months ago. Your discharge AI knows all of this - because mem[v] surfaced it from a social work note buried three admissions deep. What mem[v] delivers:- Risk factors pulled from longitudinal history
- Care preferences documented across encounters
- Post-discharge follow-up with full context
- Family/caregiver information surfaced automatically
The Multimodal Difference
Most memory systems only handle text. Patients generate images, audio, structured data, and documents.| Data Type | What mem[v] Remembers |
|---|---|
| Clinical Notes | Progress notes, consults, discharge summaries |
| Imaging | CT, MRI, X-ray findings and visual context |
| Labs & Vitals | Trends, anomalies, and correlations over time |
| Patient Voice | Portal messages, call transcripts, reported symptoms |
| Scanned Documents | Outside records, historical PDFs, faxed reports |
Getting Started
1
Discovery Call
30-minute conversation to understand your workflows and priority use cases.
2
Pilot
Controlled deployment in one department with hands-on support.
3
Scale
Expand across the organization based on measured impact.
Talk to Founders
See mem[v] in action with your own clinical scenarios. Reach out to our founders directly.