AI-Driven Electronic Health Records & Data Management

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

• Explain key EHR challenges and how GenAI can improve clinical and operational workflows
• Apply GenAI tools to streamline documentation and automate routine healthcare tasks
• Identify GenAI use cases that enhance patient education, coding, and clinical analytics
• Optimize GenAI implementation through effective governance, integration, and performance monitoring

• Basic familiarity with the topic and its common terminology
• Readiness to practice through applied exercises or case-based work