HealthTechClinical AI & NLP20247 months
Ambient Clinical Intelligence Platform
74%
Documentation Time Savings
Per-provider daily documentation reduction
98.1%
Coding Accuracy
ICD-10 coding precision vs 77% manual baseline
+62 NPS
Physician Satisfaction
Net Promoter Score improvement post-deployment
+$3.1M
Revenue Cycle Impact
Annual revenue from improved coding capture
The Challenge
Physicians at a 220-provider medical group were spending 38% of their workday on documentation, contributing to severe burnout. Clinical notes averaged 90 minutes per provider per day, with 23% error rates in ICD coding.
Our Solution
We built an ambient clinical intelligence system that uses fine-tuned medical speech recognition and a domain-specific LLM to listen to patient encounters, generate structured clinical notes in real-time, suggest ICD-10/CPT codes, and push completed documentation to the EHR — requiring only physician review and approval.
Key Outcomes
74%
Documentation Time Savings
Per-provider daily documentation reduction
98.1%
Coding Accuracy
ICD-10 coding precision vs 77% manual baseline
+62 NPS
Physician Satisfaction
Net Promoter Score improvement post-deployment
+$3.1M
Revenue Cycle Impact
Annual revenue from improved coding capture
Project Details
ClientPrimeCare Medical Group
IndustryHealthTech
Duration7 months
Year2024
Tech Stack
PythonWhisper (fine-tuned)GPT-4 fine-tuneLangChainEpic FHIR APIReactWebSocketsAWS
Tags
NLPSpeech AILLM Fine-tuningClinical NLPEHR Integration
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