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Gen AI for Healthcare Marketing & Patient Engagement
Rating: 3.8 out of 5(17 ratings)
45 students

Gen AI for Healthcare Marketing & Patient Engagement

Transform Healthcare Marketing & Patient Engagement with Generative AI: From Basics to Advanced Expertise
Created byTech Jedi
Last updated 1/2025
English

What you'll learn

  • Understand the fundamentals of Generative AI and its applications in healthcare marketing.
  • Identify data sources, collect, and preprocess healthcare data while ensuring privacy and security compliance.
  • Apply ethical principles and regulatory guidelines (HIPAA, GDPR) when using AI in healthcare.
  • Build, optimize, and evaluate AI models for patient engagement, marketing campaigns, and outreach.
  • Integrate AI tools with healthcare systems, including databases, CRMs, and analytics platforms.

Course content

6 sections • 25 lectures • 1h 27m total length

  • Overview of Generative AI3:16

    Explore how generative AI creates personalized healthcare marketing content, from tailored emails and social posts to virtual patient experiences.

  • Applications of Generative AI in Healthcare4:58
  • Challenges and Opportunities in Healthcare Marketing2:58
  • Environment Setup for Healthcare Marketing - Jupyter Notebook2:30
  • Hands-on Demo: Getting Started with Generative AI Tools2:39

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

The future of healthcare marketing and patient engagement is being redefined by Generative AI — and this course, “Gen AI for Healthcare Marketing & Patient Engagement,” equips you with the essential knowledge and hands-on skills to thrive in this transformation. You’ll explore how AI-driven tools are enabling healthcare professionals, marketers, and organizations to deliver personalized, data-driven, and ethically sound patient experiences at scale.

Starting with the fundamentals of Generative AI, you’ll learn its applications in healthcare marketing, including automated content generation, patient outreach, chatbots, and sentiment analysis. The course then dives into data collection, preprocessing, and regulatory compliance with healthcare privacy standards such as HIPAA and GDPR. You’ll gain practical exposure through Jupyter Notebook demos and real-world projects to understand how to clean, analyze, and use healthcare data responsibly.

Next, you’ll discover optimization and evaluation techniques for AI models, enabling you to measure campaign performance, predict patient behavior, and enhance engagement outcomes. The course also emphasizes ethical AI use, bias prevention, and long-term sustainability in digital health systems.

Through interactive demos, case studies, and success stories, you’ll learn how top healthcare organizations are leveraging AI to improve patient acquisition, education, and retention.

By the end of this course, you’ll be ready to design, implement, and manage AI-powered marketing strategies that boost patient satisfaction, operational efficiency, and overall healthcare excellence.

Who this course is for:

  • Healthcare Marketers & Strategists looking to automate campaigns, personalize outreach, and improve patient engagement using AI.
  • Hospital Administrators & Healthcare Executives seeking to enhance communication, retention, and satisfaction through AI-driven insights.
  • Data Scientists & Analysts interested in building and optimizing generative AI models for healthcare applications.
  • Developers & AI Engineers who want hands-on experience integrating AI tools with healthcare databases and systems.

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