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CaseStudy02

MediGuide
medical transcription platform

An AI-driven medical transcription platform that converts clinical notes into structured reports with customizable templates, batch processing, and multi-format export support.

Year

····2025

Role

····Developer

Tools

····Vite, Speechify, WebSocket, GoLang
mediguide

The Challenge

Healthcare professionals often spend a significant amount of time documenting patient interactions, clinical notes, and medical reports. Traditional medical transcription workflows are slow, expensive, and require manual review, which can delay record availability and reduce time spent with patients. Additionally, many clinics and healthcare providers lack accessible tools that can accurately convert spoken medical conversations into structured documentation while maintaining medical terminology accuracy and privacy standards.

The Solution

MediGuide is an AI-powered medical transcription system designed to convert doctor–patient conversations into structured clinical documentation in real time. By leveraging speech recognition and natural language processing, the platform automatically generates accurate medical notes, allowing healthcare professionals to focus more on patient care rather than administrative work. The system processes audio input, identifies medical terms, and organizes the transcription into structured formats that can be easily reviewed, edited, and integrated into medical record systems.

AI-Powered Medical Transcription

Automatically converts doctor–patient conversations into accurate medical text using speech recognition.

Medical Terminology Recognition

Optimized to detect and correctly transcribe complex medical terms and clinical language.

Structured Clinical Notes Generation

Organizes transcripts into readable medical documentation formats.

Real-Time Processing

Generates transcription results quickly to support efficient documentation workflows.

Editable Transcripts

Allows healthcare professionals to review and modify generated notes before finalizing records.

Secure Data Handling

Designed with healthcare data privacy considerations for handling sensitive patient information.

Tech Stack

React / Next.jsTailwind CSSGoLangSpeech-to-Text ModelsWebSocket

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KYLE ANDES
SOFTWARE ENGINEER, PROBLEM SOLVER, SYSTEM ARCHITECTSOFTWARE ENGINEER, PROBLEM SOLVER, SYSTEM ARCHITECT