AI-Powered Patient Triage & Clinical Decision Support Pipeline
A HIPAA-compliant clinical decision support and patient intake pipeline leveraging fine-tuned LLM agents, vector databases, and medical ontology matching to reduce patient wait times by 62% and triage urgency with 98.4% clinical concord.
The Challenge: Overwhelmed ERs & Clinician Documentation Burnout
Clinicians spent more time typing medical history into electronic health records (EHR) than talking to patients:
- ✕Average patient wait times exceeding 45 minutes for initial triage classification.
- ✕Physician documentation fatigue spending 3+ hours every evening finalizing clinical notes.
- ✕High risk of overlooking subtle red-flag symptoms during rush hours.
- ✕Strict regulatory requirements preventing the use of standard non-compliant AI APIs.
The AeroCodix Solution: Air-Gapped Private LLMs & Ontology RAG
We designed a HIPAA-compliant medical AI pipeline deployed on private AWS GovCloud infrastructure with automated Protected Health Information (PHI) de-identification and vector search over clinical protocols.
- ✓Conversational patient intake agent conducting dynamic, clinically guided symptom interviews.
- ✓Automated red-flag escalation alerting on-duty triage nurses for immediate critical intervention.
- ✓SOAP Note generation synthesizing patient responses into structured medical summaries.
- ✓Zero-data-retention private LLM deployment using vLLM and quantized open-weights models.
Multi-Layer Engineering Breakdown
Privacy-first medical AI pipeline with automated PHI de-identification and private model serving.
1. Patient Intake & Speech Interface
Accessible voice and chat interface allowing patients to describe symptoms naturally in multiple languages.
2. PHI Redaction & Guardrails
Strips patient names, phone numbers, and SSNs before routing structured symptom tokens to the reasoning engine.
3. Clinical Reasoning & Protocol RAG
Cross-references patient complaints against certified hospital clinical pathways to determine triage acuity levels.
4. Physician Dashboard & EHR Integration
Delivers structured SOAP notes directly into the hospital EHR with 1-click physician sign-off.
Core Engineered Features
Key operational workflows and platform modules designed for zero calculation drift and maximum reliability.
Intelligent Adaptive Symptom Triage
Dynamic questioning that drills into symptom onset, severity, medication history, and relevant allergies.
Immediate Red-Flag Detection
Instantly identifies cardiac, stroke, or sepsis warning indicators and alerts staff immediately.
Automated SOAP Note Generation
Produces Subjective, Objective, Assessment, and Plan drafts for physician review in under 2 seconds.
Full EHR / FHIR Interoperability
Connects seamlessly with Epic, Cerner, and custom hospital databases using standardized FHIR protocols.
Business Results & Operational ROI
How our production engineering transformed our client's bottom line and operational velocity.
Reduction in Intake Latency
Patients complete pre-consultation intake from their mobile phones before entering the exam room.
Physician Time Saved Daily
Eliminated manual typing of repetitive clinical notes, reducing doctor burnout.
Diagnostic Acuity Concordance
Triage priority scores matched senior physician determinations in 98.4% of audited clinical cases.
HIPAA & Regulatory Compliance
Passed strict third-party healthcare cybersecurity and PHI privacy assessments with zero flags.
“The AI triage assistant built by AeroCodix has become an indispensable member of our clinical team. Our physicians are happier, our wait times are down, and our patient documentation is more thorough than ever.”
Let's Build Something Extraordinary
Tell us about your project roadmap, timeline, or engineering needs. Our technical architects will respond with a tailored proposal within 24 hours.
Our Office
⚡ Guaranteed Response SLA
Every inquiry is reviewed directly by Usman Ali and our Principal Solutions Architects. You will receive an initial technical feasibility response in under 24 business hours.