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Generative AI for Healthcare Marketing & Patient Engagement
46 students
Generative AI for Healthcare Marketing & Patient Engagement
Apply generative AI to patient outreach, content, chatbots and sentiment analysis, with HIPAA and GDPR in mind
Created byTech Jedi
Last updated 10/2026
English
English [Auto],
What you'll learn
- Apply generative AI to healthcare marketing tasks such as content creation, patient outreach, chatbots and sentiment analysis
- Collect, clean and preprocess healthcare data responsibly using hands-on Jupyter Notebook demos
- Handle patient data with HIPAA and GDPR privacy requirements in mind when planning AI-driven campaigns
- Evaluate and optimise AI models to measure campaign performance and predict patient behaviour
- Identify bias and ethical risks in healthcare AI and plan for responsible, sustainable use
- Learn from case studies of how healthcare organisations use AI for patient acquisition, education and retention
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Course content
6 sections • 26 lectures • 1h 27m total length
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
Generative AI is already changing how healthcare organisations reach, educate and support patients. But healthcare is not a typical marketing environment. Privacy rules, patient trust and ethics all matter. This course shows you how to use AI practically and responsibly in that setting.
Who this course is for:
- Healthcare marketers and communications teams exploring AI tools
- Clinicians, practice managers and healthcare leaders who want to understand AI-driven patient engagement
- Digital health and IT professionals supporting marketing or patient-experience projects
- Anyone moving into healthcare AI who wants real-world use cases, not theory alone
What you'll work through:
We start with the fundamentals of generative AI and where it fits in healthcare marketing. That includes automated content generation, patient outreach, chatbots and sentiment analysis.
From there, you'll get hands-on with data. Using Jupyter Notebook demos and real-world projects, you'll see how healthcare data is collected, cleaned, preprocessed and analysed. Throughout, you'll keep privacy standards such as HIPAA and GDPR in view.
What's inside:
- Generative AI fundamentals applied to healthcare marketing
- Use cases: content generation, patient outreach, chatbots and sentiment analysis
- Data collection and preprocessing with Jupyter Notebook demos
- Regulatory considerations for HIPAA and GDPR
- Optimising and evaluating AI models to measure campaign performance and predict patient behaviour
- Ethical AI, bias prevention and long-term sustainability in digital health
- Case studies and success stories showing how healthcare organisations use AI for patient acquisition, education and retention
What you'll walk away with:
By the end, you'll understand how to plan, implement and evaluate AI-powered marketing and engagement initiatives in a healthcare context. You'll also know which data, compliance and ethical questions to ask before you launch.
If you work in or around healthcare and want a practical, grounded introduction to using generative AI for patient engagement, enrol now and let's get started.
- Team Tech Jedi
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.