Mentat: Transforming Medical Decision-Making
Meet Mentat
Healthcare professionals manage the complex tasks of recording and monitoring patient data, relying on systems prone to errors and time-consuming verbal communication. Mentat provides an end-to-end solution that automates data collection, retrieval, and diagnostic insights using a small language model optimized for low-power GPUs.
This approach ensures secure, offline operation that does not depend on external servers, preserving patient data integrity.
Key Features
- Efficient Data Recording
- Automates symptom recording and patient history gathering.
- Minimizes manual effort and reduces transcription errors.
- AI-Assisted Diagnostics
- Small language model, Phi 3.5 mini on LlamaEdge, runs locally.
- Integrates retrieval-augmented generation (RAG) for context-aware insights.
- Secure and Offline
- No reliance on external servers—data remains within the clinic’s network.
- Local database integration ensures privacy and data integrity.
- Easy Integration
- Designed for quick adoption into existing Healthcare Management Systems (HMS).
- Facilitates communication between nurses, doctors, and specialists.
Want to Learn More?
- Our Solution – Understand the core challenges Mentat addresses.
- Technology – Explore the technology behind Mentat.
- References – Explore the scholarly references behind Mentat.
Founders
Lauren Phillips
lphill49@jhu.edu
Luis Brena
lbrenap1@jhu.edu