Telehealth Solution Python Django powered Social Network for





















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Telehealth Solution : Python & Django powered Social Network for Doctors & Telehealth Solution By Bhagvan Kommadi
Agenda Patient Journey What Patients Want Telehealth Solution Telehealth Platform Speaker Model Diarisation Speech Engine Semantic Analysis Speech Analytics Patterns Digital Assistant - Notes Voice Assistants Technical Architecture Speech Processing Challenges Speaker Recognition Demo Speech Types What’s Next ?
Patient Journey Book an Appointmen t Reminder Schedule Tracking Post Appointmen t Engagement Manage Appointmen ts Intimate Delays
What Patients Want Be competent Care about me Improve / cure / prevent my problem Know me
Tele Health Solution Web RTC based solution Deep Learning Based & Voice Historical Data : prediction and identifying patterns Neural Network Algorithms are used • Image Processing and Natural Language • Voice assistants conversing with the User Event Plugins e. Learnin Visualization Hostin Cases. Extension g g s Knowledge Insights Engine Payment Gateway Internet Data Sources Digital Pen Podca Voice Vide o st Transaction Wallet Engine Personalizati on Fact Checke r IOT Gateway Surve ys Gamificati on Recommendati on Engine OCR Loyalty Mgmt Learning Platform Curator Data Access Layer IOT CMS Polls Service Integration
Telehealth Platform Courses Audio & Video Chats Users Notifications Discussions Polls Groups Moderation Gamification Content Social Interactions Events Employees Partners News Survey s Wallet Group Discussions Recommendations Vendors Careers Customers Product Reviews Services Blogs Knowledge Graph
Semantic Analysis Grammatical relationships between words and phrases Positive subject Blogs, News verb modifier Good object John Feeds Entity Extraction, Fact Discovery, Intent & Sentiment hit the Dependency parse ball Great Fantastic Excellent Named Entity Recognition Friendly Awesome Spectacular Negative Full parse Bad Worse Text Miner Issue Loss Awful Problem Bogus
Patterns What Has Happened Before” What I Have Seen Before” Demography Words General Appearance Sounds Physical Signs Smell Touch / Feel Xray Images Fluids Tissues
Voice Assistants Google Dialog. Flow Show us the patient’s report ! Search for patients Request HTTP(S) generated report ! Search Results Response
Speech Processing Speech Coding Speaker Model Speech Type Synthesis Recognition Speaker Identity Speech Transcription Speech Patterns Diarisation
Speaker Recognition Template Based word Recognition Continuous Speech Recognition Neural Network Based Recognition Analysis Feature Extraction Modelling Testing
Speech Types Isolated Words Connected Words Spontaneous Speech Simple Sentence John is going to fall Complex Sentence Although John was wealthy, he
Speaker Model Independent Large Group of People Dependent Particular Speaker
Diarisation Segments Segment 1 Segment 2 Segment 3
Speech Engine Environment Channel Speaker Style Gender Age Speech Speed
Speech Analytics Emotions Locations Non Speech Periods of Silence
Digital Assistants Taking clinical notes Retrieving cases Updating Prescription s Creating consultation appointment s
Technical Architecture Visualization Layer Mobile & Web Service Layer Python Data Access Layer Django My. SQL & Mongo. DB
Challenges browsers compatibility mobile os dependency desktop os issues speech hardware issues
Demo
No Code Automation Platform AI Coder Dynamic Program Creation Connected Systems Learning- Knowledge Assistant Multi. Lingual Speech Bio. Metrics