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In this module, you鈥檒l explore why Electronic Health Records (EHRs) need Generative AI support, how leading vendors like Epic, Cerner, and Meditech are embedding AI into workflows, and what it takes to get ready for adoption. You鈥檒l break down common EHR pain points, examine practical AI use cases, and practice foundational prompt engineering. Through expert insights, real-world case studies, and a readiness self-assessment, you鈥檒l gain the skills to evaluate your own environment, build awareness, and set realistic expectations for integrating GenAI into healthcare documentation and operations.

In this module, you'll learn how to enhance Electronic Health Record (EHR) documentation and workflow efficiency using Gen AI tools. Through practical demos and exercises, you鈥檒l streamline clinical documentation, automate repetitive tasks, and improve patient-facing content. You will explore tools for structured clinical documentation, ambient scribing, and voice-to-text solutions, enabling you to create accurate and concise clinical notes in real time. The module emphasizes usability, speed, and improving the quality of documentation across healthcare roles, from clinicians to administrators.

In this module, you鈥檒l discover how GenAI can transform patient education, revenue cycle management (RCM), and clinical analytics using EHR data. Through hands-on demos and practical exercises, you鈥檒l learn how to use AI tools to create personalized patient narratives, automate billing and coding, and build no-code dashboards to extract actionable insights. The module focuses on enhancing communication, improving operational efficiency, and applying predictive analytics to drive better decision-making in healthcare.

In this module, you鈥檒l gain the knowledge needed to successfully implement and scale GenAI tools alongside Electronic Health Records (EHRs). The focus is on governance, integration, and post-deployment evaluation. You鈥檒l learn about key governance frameworks, bias mitigation strategies, and how to integrate GenAI with EHR systems using standards like SMART-on-FHIR. The module also covers the essential processes for monitoring AI performance and continuous improvement, ensuring a safe, ethical, and sustainable GenAI adoption in your organization.

In this final module, you will synthesize your learning from the entire course and apply it to a real-world challenge involving EHR workflows. You鈥檒l design a GenAI-powered assistant to address documentation, operational, or patient-facing issues. Through this project, you鈥檒l demonstrate your ability to integrate GenAI tools into healthcare workflows while considering governance, risk mitigation, and implementation strategies. This module culminates in a project that showcases your ability to enhance EHR usability, efficiency, and care quality with AI-driven solutions.