HEALTHCARE
Clinical Documentation Copilot
Ambient documentation assistant that drafts clinical notes from patient conversations.
Contract.pdf
OCR Parsing
• Risk: Minimal
• Extract: Complete
• Accuracy: 99.4%
95% Time Saved
40%
Less admin time
99.5%
Accuracy of note drafts
ClientMetro Clinic Network
Timeline12 Weeks
Team Size3 Engineers
CapabilityHEALTHCARE
The Challenge
Physicians spending 3+ hours daily typing SOAP notes and clinical charts.
The Approach
1
Speech parsing
Whisper-based audio transcript processing.
2
SOAP mapping
Extracted medical symptoms and structured into charts.
Outcomes & Impact
Doctors saved 40% of administrative overhead, spending more time with patients.
Key Lessons Learned
✓
Vector search alone is insufficient for structured freight and customs queries; hybrid search with RRF is mandatory.
✓
Document chunking must align with layout structures (headers and tables) rather than fixed character offsets.
✓
Reranking is the highest leverage, lowest cost way to improve recall in large document sets.
"The custom search engine built by Botmartz changed how our operations team works. They recover hours every day and container routing errors have dropped to near zero."
MV
Markus Vance
VP of Operations, Global Logistics Leader
Core Technologies
Whisper APIGPT-4FastAPIHIPAA Cloud
Development Team
KG
Karan Goel
AI Engineer
PB
Promit Basu
AI/ML Engineer
SS
Sanjay Singh
Lead Architect
Related Cases
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