AI Driven Workflow for Adaptive Medical Lecture Video Creation

Adaptive Medical Lecture Video Generation

1. Needs Assessment

1.1 Identify Target Audience

Determine the specific group of healthcare professionals or students who will benefit from the lecture.

1.2 Define Learning Objectives

Establish clear educational goals that the video content must achieve.

2. Content Development

2.1 Research and Gather Material

Utilize AI-driven tools such as IBM Watson Discovery to analyze and curate relevant medical research and articles.

2.2 Script Writing

Employ AI tools like Grammarly and Copy.ai to assist in drafting a clear and engaging script based on the gathered materials.

3. Video Production

3.1 AI-Powered Video Creation

Utilize platforms such as Synthesia or DeepBrain to generate video content featuring AI avatars that can present the lecture material.

3.2 Incorporate Visual Aids

Integrate infographics and diagrams using tools like Canva or Visme to enhance understanding of complex medical concepts.

4. Personalization and Adaptation

4.1 Adaptive Learning Algorithms

Implement AI algorithms to tailor the video content based on user feedback and performance metrics collected through platforms like EdApp.

4.2 User Engagement Analytics

Utilize analytics tools such as Google Analytics or Mixpanel to monitor viewer engagement and adjust content accordingly.

5. Quality Assurance

5.1 Peer Review

Conduct a review process involving subject matter experts to ensure the accuracy and relevance of the content.

5.2 AI Quality Checks

Use AI tools like Vidooly to assess video quality, ensuring it meets professional standards.

6. Distribution

6.1 Platform Selection

Choose appropriate distribution channels such as YouTube, Vimeo, or specialized medical training platforms.

6.2 Marketing and Promotion

Leverage social media and email marketing tools like Mailchimp to promote the video lecture to the target audience.

7. Feedback and Iteration

7.1 Gather Viewer Feedback

Implement surveys and feedback forms to collect viewer insights and suggestions for improvement.

7.2 Continuous Improvement

Utilize AI-driven analytics to identify trends and areas for enhancement, ensuring the content remains relevant and effective.