MedVisor

MedVisor — An Agentic AI Diagnostic Assistant

What it does

MedVisor is a multimodal AI-assisted diagnostic support system that captures conversations between patients and clinicians and transforms them into structured data, clinical insights, and preliminary assessments.

It is designed to:

Capture clinical conversations and convert them into structured EMR-ready entries
Distill large volumes of medical data into concise, actionable summaries
Assist clinicians by highlighting patterns, risks, and potential gaps

MedVisor does not replace clinical judgment — it enhances it.

Key Implementation Areas

🎙 Speech-to-Text Engine

Converts clinician dictation or patient interviews into structured transcripts
Extracts symptoms, duration, severity, and vitals
Transforms raw audio into EMR-ready structured data

🧠 AI-Powered Summarization

Extracts key vitals, symptoms, diagnoses, and risk indicators from:
- Transcripts
- Doctor notes
- EMR records
Condenses complex medical documentation into structured JSON outputs

🏷 ICD Code Mapping & Suggested Treatments

Uses ICD-11 API to auto-tag conditions
Maps extracted diagnoses to standardized codes
Suggests possible treatment pathways for clinician review

👩‍⚕️ Patient-Friendly Summaries

Translates medical jargon into understandable recovery plans
Improves patient engagement and clarity in home care settings

🔗 EMR Integration

JSON / FHIR-like structured output
Designed as a lightweight plug-in or API-based model
Compatible with existing EMR/EHR systems

Use Cases

Faster documentation during consultations
Telehealth transcription and diagnostic support
Emergency room triage documentation
Multilingual support for diverse patient populations
Compliance-ready, audit-friendly record generation
Remote patient monitoring for elderly and home health care

How We Built It

Architecture

Consensus-based parallel agent orchestration:

ClinicalConversationAnalyst
VisualDiagnosticAnalyst
MedicalRecordAnalyst
Root consensus engine merges outputs and generates a preliminary assessment

Tech Stack

ICD-11 API for standardized medical code mapping
Kaggle EMR Dataset for validation and benchmarking (not model training)
Python for backend orchestration
Shell scripting for automation and deployment
Docker for containerized services
Google Cloud Platform (GCP) for infrastructure
Google Cloud Run for scalable deployment
ADK (Agent Development Kit) for multi-agent orchestration
LLMs for NLP & Multimodal Reasoning (Gemini / Claude / GPT)
JSON / FHIR-like structured outputs for EMR integration

Demonstrating Accuracy

To ensure reliability and credibility, MedVisor:

Benchmarks structured extraction using anonymized Kaggle EMR datasets
Validates ICD mapping against official ICD-11 standards
Uses confidence scoring within its consensus engine
Provides transparent, interpretable outputs for clinician review

Presentation

Vision

MedVisor bridges the gap between home care, telehealth, and clinical systems by transforming raw multimodal data into structured, actionable insight — helping clinicians make faster, more informed decisions while keeping patients safe at home.