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1
Introduction
2
What is Telehealth
3
Agenda
4
Patient Journey
5
What do patients want
6
How does telehealth help
7
Components of telehealth platform
8
Semantic Analysis
9
Patterns
10
Voice Systems
11
Speech Recognition
12
Speech Types
13
Speaker Models
14
Dialyzation
15
Speech Engine
16
Speech Analytics
17
Digital Assistants
18
Technical Architecture
19
Challenges
20
Demo
21
WebRTC
22
Whats next
23
Data Privacy
Description:
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.

Telehealth Platform - Python & Django Powered

EuroPython Conference
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