Healthcare AI & HIPAA Systems
MedSynapse — Autonomous Clinical Decision Support
Client: MedSynapse Labs • Timeline: 10 Weeks
4.2xFaster Patient Chart Triage
98.7%Clinical Factuality Verification
100%HIPAA & HITECH Compliance
35k+Physician Consultations Powered
The Technical Challenge
Radiologists and triage physicians spent over 40% of their day manually parsing lengthy EHR records, clinical notes, and imaging history. MedSynapse needed a HIPAA-compliant LLM system that could automatically summarize patient histories and flag potential diagnostic blind spots.
The Engineered Solution
Bistech built a secure, private AI pipeline using domain-fine-tuned open-source LLMs deployed within private AWS VPC boundaries. We created a high-dimensional vector search index on patient histories and built a deterministic guardrail layer ensuring all recommendations cite clinical sources.
Architectural Decisions & Implementation Highlights
- Zero-retention private LLM execution environment compliant with HIPAA and SOC-2
- Sub-200ms vector similarity lookups indexing 1.2M historical medical journals and case files
- Next.js App Router diagnostic dashboard featuring interactive citation highlighting
- Automated synthetic clinical test suite verifying clinical consistency across 10,000 patient scenarios
Technology Stack Employed
PythonPyTorchNext.jsPineconeAWS BedrockFastAPI
“The accuracy, security, and interface responsiveness of MedSynapse exceeded our medical advisory board's highest expectations.”
Dr. Marcus VanceVP of Digital Health, MedSynapse Labs
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