AI-Driven Electronic Health Records & Data Management

In this course, you’ll use Generative AI to streamline EHR workflows by automating documentation, improving patient communication, and optimizing healthcare operations with tools like Glass Health, DoraScribe, and Keragon.

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Course curriculum

1. Segment 00: Reading - Welcome to the Course: Course Overview
2. Segment 01: Intro Video to Course
1. Segment 02: Chapter Introduction
2. Segment 03: The EHR Experience Today- Burnout_ Clicks_ and Inefficiencies
3. Segment 04: How Gen AI Can Help- A Walkthrough of Common Use Cases
4. Segment 05: Before vs After- A Day with Gen AI in Your Workflow
1. Segment 06: Inside Epic_ Cerner_ and Meditech Real Gen AI Features
2. Segment 07: The Power of Prompts How to Talk to Your AI Assistant
3. Segment 08: Forms of AI in the EHR Agents_ Copilots_ Bots_ and More
1. Segment 09: The EHR -Gen AI Readiness Checklist
2. Segment 10: Gen AI for your EHR How to evaluate vendors solutions
3. Segment 11: Mini Self-Assessment Walkthrough
4. Segment 12: Reading - Readiness Gap Hindering GenAI Adoption in Healthcare, Survey Finds
5. Segment 13: Hands-On-Learning: Assessing Your Organization’s GenAI Readiness
6. Segment 14: Quiz - Introduction & GenAI Readiness for EHRs
1. Segment 15: Chapter Introduction
2. Segment 16: Why Structured Clinical Documentation Matters
3. Segment 17: Demo Upheal
4. Segment 18: Structured Clinical Documentation with Glass Health
1. Segment 19: Ambient Listening & Clinical Scribing: How It Works
2. Segment 20: Demo- Heidi Health – The AI Medical Scribe
3. Segment 21: Demo DoraScribe Free Trial
1. Segment 22: What’s an AI Clinical Assistant- Think Beyond Notes
2. Segment 23: Demo- Internal Medicine Companion GPT
3. Segment 24: Demo Create Discharge Summaries with Glass Health
4. Segment 25: Reading - Physician Perspectives on Ambient AI Scribes
5. Segment 26: Hands-On-Learning: Creating Structured Documentation with Voice-to-Text AI
6. Segment 27: Quiz - Enhancing EHR Documentation & Workflow Efficiency with GenAI
1. Segment 28: Chapter Introduction
2. Segment 29: How Can Gen AI Enhance Patient Education _ Stories
3. Segment 30: Demo Narrative Summary with Hathr.ai
4. Segment 31: Demo- Draft Patient Handouts in Glass Health
1. Segment 32: Gen AI in Revenue Cycle Management Hidden Efficiency Zones
2. Segment 33: Demo RCM Agent Workflow with Keragon
3. Segment 34: Demo Medical Coding Assistant Gale AI
1. Segment 35: From Data to Decisions Why Gen AI Analytics Matter
2. Segment 36: Demo- Generate Insights with Helical Insight
3. Segment 37: Demo- No-Code Dashboards with Julius AI
4. Segment 38: Reading - 3 Ways AI Can Improve Revenue-Cycle Management
5. Segment 39: Hands-On-Learning: Generating Patient-Friendly Education Materials with GenAI
6. Segment 40: Quiz - GenAI for EHR Dashboards & Decision Intelligence
1. Segment 41: Chapter Introduction
2. Segment 42: Governance Models for Gen AI Implementation in Your EHR
3. Segment 43: Demo- Build Gen AI Implementation Roadmap with Asana AI
4. Segment 44: Bias _ Trust- Human-in-the-Loop Design
1. Segment 45: Plugging into the EHR APIs _ SMART-on-FHIR
2. Segment 45: Demo SMART-on-FHIR Trigger Workflow (Simulated)
3. Segment 46: Post-Deployment Support Prompt Libraries _ Helpdesk
1. Segment 47: What Should You Measure- KPIs for Gen AI
2. Segment 48: AI Tools Evaluation Checklist
3. Segment 49: Closing the Loop- Using Feedback to Improve UX
4. Segment 50: Reading - Scaling Enterprise AI in Healthcare: The Role of Governance in Risk Mitigation Frameworks
5. Segment 51: Hands-On-Learning: Monitoring GenAI Tools with Dashboards
6. Segment 52: Quiz - Evaluation & Monitoring of GenAI Tools
1. Segment 53: Course Wrap-up Video
2. Segment 54: Project: AI Assistant for EHR Workflow Enhancement

About this course

Free
56 lessons
4 hours of video content

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AI-Driven Electronic Health Records & Data Management

Course curriculum

Chapter 1: Introduction

Chapter 2: Why GenAI Matters for Electronic Health Records

Chapter 3: What Leading EHRs Are Already Doing

Chapter 4: Are You Ready for GenAI powered EHRs’?

Chapter 5: From Free Text to Structured Clinical Documentation & Summaries

Chapter 6: Voice to Clinical Note: Ambient & Scribe Solutions

Chapter 7: GenAI Clinical Assistants

Chapter 8: GenAI for Patient Education & Summaries

Chapter 9: GenAI Assistants for Revenue Cycle Management & Coding

Chapter 10: GenAI for EHR Dashboards & Decision Intelligence

Chapter 11: Planning & Governance for GenAI

Chapter 12: Interoperability & Integration essentials for GenAI powered EHRs’

Chapter 13: Evaluation & Monitoring of GenAI Tools

Chapter 14: Conclusion

About this course

Discover your potential, starting today