AI-Driven Electronic Health Records & Data Management

Coursera MOOC / Non-credit USD 49
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AI-Driven Electronic Health Records & Data Management

About this course

Clinicians and healthcare professionals are increasingly burdened by Electronic Health Records (EHRs)—navigating complex interfaces, documenting care manually, and missing key insights in siloed data. Generative AI offers a practical path forward. This course shows you how to integrate GenAI tools into your EHR workflows to reduce documentation time, streamline operations, and improve patient care—without waiting on your EHR vendor. In just 4 hours, you'll move from foundational concepts to hands-on application using tools like Glass Health, DoraScribe, and Keragon. You’ll explore voice-to-text SOAP notes, AI-generated patient education, no-code automation, and strategies for safe, scalable AI governance in clinical settings. Ideal for physicians, nurses, administrators, and clinical coders, this course equips you to deploy AI responsibly—boosting efficiency, enhancing communication, and laying the groundwork for long-term digital transformation in healthcare.

What you'll learn

  • integration of generative AI tools into EHR workflows
  • reduction of documentation time
  • creation of AI-generated patient education materials
  • implementation of no-code automation in clinical settings
  • understanding safe AI governance principles

Course objectives

  • streamline EHR workflows
  • enhance patient care through AI tools
  • develop skills in voice-to-text documentation
  • foster communication using AI-generated resources

Skills you'll gain

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