Telehealth Platform - Python & Django Powered

Explore the development of an AI-powered telehealth platform built with Python and Django in this EuroPython 2020 conference talk. Learn how the platform supports doctors' communities and provides telehealth services for patients during the COVID-19 lockdown. Discover the platform's features, including case triage, medical practice management solutions, online medicine ordering, and AI-powered digital, voice, and knowledge assistants. Understand how historical data is utilized for predictive analytics and how the platform helps healthcare enterprises deploy voice technology, reduce administrative burdens, increase patient volume, eliminate transcription costs, and enhance patient engagement. Delve into the technical aspects, including semantic analysis, speech recognition, digital assistants, and the overall architecture. Gain insights into the challenges faced, see a demo of the platform, and explore future developments in telehealth, including data privacy considerations.

Introduction
What is Telehealth
Agenda
Patient Journey
What do patients want
How does telehealth help
Components of telehealth platform
Semantic Analysis
Patterns
Voice Systems
Speech Recognition
Speech Types
Speaker Models
Dialyzation
Speech Engine
Speech Analytics
Digital Assistants
Technical Architecture
Challenges
Demo
WebRTC
Whats next
Data Privacy