Gen Ai For Healthcare Marketing & Patient Engagement

Gen Ai For Healthcare Marketing & Patient Engagement
Published 1/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Transform Healthcare Marketing & Patient Engagement with Generative AI: From Basics to Advanced Expertise

What you’ll learn

Understand the fundamentals of Generative AI and its applications in healthcare marketing and patient engagement.

Learn how to collect, preprocess, and manage healthcare data while ensuring privacy, security, and regulatory compliance.

Master ethical considerations, including bias mitigation and fairness in AI-driven healthcare solutions.

Gain practical skills to design, implement, and optimize AI-powered tools and campaigns for personalized patient outreach.

Requirements

No prior knowledge of Generative AI or healthcare marketing is required-this course is designed for beginners and professionals alike.

A willingness to learn and explore how AI can transform healthcare marketing and patient engagement.

Basic computer skills and familiarity with using online tools and software.

Description

Overview

Section 1: Introduction to Generative AI in Healthcare

Lecture 1 Overview of Generative AI

Lecture 2 Applications of Generative AI in Healthcare

Lecture 3 Challenges and Opportunities in Healthcare Marketing

Lecture 4 Environment Setup for Healthcare Marketing – Jupyter Notebook

Section 2: Data Collection and Preprocessing

Lecture 6 Data Sources for Healthcare Marketing

Lecture 7 Data Privacy and Security in Healthcare

Lecture 8 Hands-on Demo: Data Collection and Preprocessing Techniques

Section 3: Ethical Considerations in Healthcare Marketing

Lecture 9 Regulatory Compliance in Healthcare Marketing

Lecture 10 Bias and Fairness in AI Algorithms

Lecture 11 Hands-on Demo: Ethics in Healthcare Marketing

Section 4: Evaluation and Optimization

Lecture 12 Evaluation Metrics for Healthcare Marketing

Lecture 13 Optimization Techniques for Generative AI Models

Lecture 14 Performance Measurement in Patient Engagement

Lecture 15 Continuous Improvement Strategies

Lecture 16 Hands-on Demo: Evaluating Model Performance

Section 5: Integration and Implementation

Lecture 17 Integrating AI Solutions in Healthcare Systems

Lecture 18 Deployment Strategies for Generative AI Models

Lecture 19 Adoption and Change Management in Healthcare Marketing

Lecture 20 Sustainability and Scalability in Healthcare Engagement

Lecture 21 Hands-on Demo: Connecting Healthcare Database and Generating Insights

Section 6: Case Studies and Real-World Applications

Lecture 22 Success Stories in Healthcare Marketing with AI

Lecture 23 Challenges Faced by Healthcare Organizations

Lecture 24 Future Trends in Healthcare Marketing and Patient Engagement

Lecture 25 Hands-on Demo: Case Study Analysis

Healthcare Marketing Professionals looking to enhance their campaigns and patient engagement strategies with AI-powered tools.,Healthcare Administrators and Managers interested in integrating Generative AI into their organizations to improve efficiency and outcomes.,Data Analysts and Digital Marketers aiming to specialize in healthcare marketing and personalized patient communication.