AI Medical Chatbot: Enhancing Patient Communication training course

Available Dates

Venue

Dec-23-2024

Barcelona
Dec-30-2024

Dubai
Dec-30-2024

Kuala Lumpur
Dec-30-2024

Istanbul
Feb-24-2025

London
Feb-24-2025

Dubai
Mar-24-2025

Kuala Lumpur
Mar-24-2025

Istanbul
Mar-24-2025

Paris
Mar-24-2025

Barcelona
Mar-24-2025

Amsterdam
Mar-24-2025

Singapore
Mar-24-2025

London
Mar-24-2025

Dubai
May-19-2025

Dubai
May-19-2025

London
June-23-2025

Barcelona
June-23-2025

Amsterdam
June-23-2025

Singapore
June-23-2025

Istanbul
June-23-2025

Paris
June-23-2025

Kuala Lumpur
Aug-25-2025

London
Aug-25-2025

Dubai
Sep-01-2025

London
Sep-01-2025

Dubai
Sep-22-2025

Amsterdam
Sep-22-2025

Paris
Sep-22-2025

Barcelona
Sep-22-2025

Istanbul
Sep-22-2025

Singapore
Sep-22-2025

Kuala Lumpur
Dec-22-2025

Istanbul
Dec-22-2025

Singapore
Dec-22-2025

Barcelona
Dec-22-2025

Amsterdam
Dec-22-2025

Kuala Lumpur
Dec-22-2025

Paris
Dec-29-2025

Dubai
Dec-29-2025

London

Course Details

AI in healthcare represents a transformative approach aimed at enhancing medical diagnostics, treatment planning, and patient care through advanced technologies. By leveraging AI, healthcare providers can harness vast amounts of data to deliver personalised treatments, streamline administrative processes, and improve overall healthcare outcomes.

This comprehensive training programme delves into the pivotal role of AI chatbots within the healthcare sector. Participants will explore cutting-edge tools, technologies, and ethical considerations essential for developing and deploying AI chatbots effectively.

AI Medical Chatbot training course is designed to empower healthcare professionals with practical skills in harnessing AI for enhanced patient interactions and streamlined healthcare services.

By the course's conclusion, participants will be equipped with the knowledge and practical insights needed to leverage AI chatbots effectively within healthcare settings, enhancing patient care delivery and operational efficiency.

Upon completion of the AI medical chatbot course, attendees will be able to:

Understand the architecture and operation of advanced AI-driven chatbots.
Utilize different AI tools and technologies to develop a sophisticated medical chatbot
Implement RAG to enhance the relevance and accuracy of chatbot responses.
Fine-tune LLMs to adapt to specific medical contexts and patient needs.
Deploy a functional medical chatbot that complies with healthcare regulations.
Evaluate and iterate on chatbot performance based on user feedback and analytics.
Understand ethical and compliance considerations of chatbots in healthcare.

This course is ideal for a diverse range of professionals keen on advancing their expertise in AI within the healthcare sector:

Healthcare IT professionals looking to implement new technologies
Data scientists focusing on healthcare applications
Medical professionals interested in leveraging AI for patient communication
Health service managers aiming to improve patient interaction
Students and academics in medical and tech-related fields

Course Outline

5 days course

Day 1

Day 2

Day 3

Day 4

Day 5

Introduction to AI Chatbots in Healthcare Industry

Overview of AI Chatbots: the role and growing importance of chatbots in the Healthcare industry.
Key Tools & Technologies: Introduction to Key Tools & Technologies
Infrastructure Requirements: the technical setup needed for developing AI chatbots.
Ethical and Regulatory Considerations: Understanding compliance with Healthcare regulations and ethical AI usage.
Case Studies: Review of successful implementations of AI chatbots in Healthcare.

Python & ML Basics

Introduction to Python for Healthcare: Basics of Python programming focused on Healthcare applications.
Exploratory Data Analysis (EDA): Techniques using Python to visualize and analyze Healthcare datasets.
Python Libraries for Healthcare Analysis: Introduction to libraries like Pandas, NumPy, and Matplotlib.
Machine Learning: Understanding Basic ML concepts
Discussion: Best practices for data handling and analysis in Healthcare.

Designing Basic Chatbot

Components of AI Chatbots: the fundamentals of chatbots
Building Blocks of Healthcare Chatbots: the architecture of AI chatbots, including NLP, dialogue management, and user interaction.
Retrieval-Augmented Generation (RAG): how RAG works to enhance chatbot responses with contextual accuracy.
Workshop: Setting up the basic framework for a Healthcare chatbot using sample dialogue flows and basic scripting.

Advanced Chatbot Development with LangChain

Introduction to LangChain: Understanding Langchain framework to work with LLM's.
LLMs Fine-Tuning: Exploring different open-source LLMs like LAMA3, Falcon, and Mistral for finetuning.
Advanced Features in Chatbot Design: Adding capabilities such as sentiment analysis, personalized Healthcare advice, and secure transactions.
Hands-On Lab: Integrating LangChain into their chatbot projects to improve conversational abilities and handle complex queries.
Discussion: Tackling challenges such as understanding user intent and maintaining conversational context.

Deploying & Managing Financial AI Chatbots

Testing and Validation: Best practices for testing and validating chatbot functionalities
Deployment Strategies: Approaches for deploying chatbots in Healthcare environments, including scalability and security considerations.
Ethical and Compliance Considerations: Ensuring that chatbots adhere to ethical AI principles and comply with Healthcare regulations.
Final Project Presentation: Participants present their chatbot projects, sharing insights and outcomes.

AI Medical Chatbot: Enhancing Patient Communication

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