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  1. Courses
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  3. AI-Driven Electronic Health Records & Data Management

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.

Neel Majumder
Neel Majumder
Data Science | intermediate | 8 hours 30 minutes |   Published: Oct 2025

    Discussions

Overview

1kSTUDENTS*
98.6%RECOMMEND*

This course includes:

  • On-demand videos
  • Practice assessments
  • Multiple hands-on learning activities
  • Exposure to a real-world project
  • 100% self-paced learning opportunities
  • Certification of completion

Is Your EHR Helping You, or Holding You Back? 

Every day, clinicians and healthcare staff face the same battle: clicking through endless screens, spending more time documenting than delivering care, and struggling to find meaningful insights in the data. What if AI could change that? 

Generative AI is transforming how Electronic Health Records are used, making documentation smarter, workflows faster, and decision-making easier. Whether you're a physician, nurse, coder, or administrator, you don’t need to wait for your EHR vendor to innovate. This course will show you how to harness Gen AI tools, today, to work faster, reduce burnout, and improve patient care. 

Throughout this course,you'll go from learning the basics to applying real AI-powered solutions that plug into your EHR workflows. From voice-to-SOAP note transcription and automated patient education, to no-code dashboards and governance planning, this course is your practical guide to safe, scalable AI adoption in healthcare. 

Skills You Will Gain

Healthcare AI tools
Ambient documentation
AI clinical assistant
Medical note automation
EHR analytics

Learning Outcomes (At The End Of This Program, You Will Be Able To...)

  • Explain key EHR challenges and how Gen AI can improve clinical and operational workflows. 

  • Apply Gen AI tools to streamline documentation and automate routine healthcare tasks. 

  • Identify Gen AI use cases that enhance patient education, coding, and clinical analytics. 

  • Optimize Gen AI implementation through effective governance, integration, and performance monitoring. 

Prerequisites

Basic EHR experience; no coding required. Familiarity with digital tools is helpful.

Who Should Attend

This course is designed for healthcare professionals including physicians and residents, nurses and nurse educators, medical coders and documentation specialists, as well as clinical administrators and health IT staff who work with EHR systems.

Curriculum

Instructors

*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
1Chapter 1: Introduction
2Chapter 2: Why GenAI Matters for Electronic Health Records
3Chapter 3: What Leading EHRs Are Already Doing
4Chapter 4: Are You Ready for GenAI powered EHRs’?
5Chapter 5: From Free Text to Structured Clinical Documentation & Summaries
6Chapter 6: Voice to Clinical Note: Ambient & Scribe Solutions
7Chapter 7: GenAI Clinical Assistants
8Chapter 8: GenAI for Patient Education & Summaries
9Chapter 9: GenAI Assistants for Revenue Cycle Management & Coding
10Chapter 10: GenAI for EHR Dashboards & Decision Intelligence
11Chapter 11: Planning & Governance for GenAI
12Chapter 12: Interoperability & Integration essentials for GenAI powered EHRs’
13Chapter 13: Evaluation & Monitoring of GenAI Tools
14Chapter 14: Conclusion

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 00: Reading - Welcome to the Course: Course Overview

Segment 01: Intro Video to Course 

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Segment 02: Chapter Introduction

Segment 03: The EHR Experience Today- Burnout_ Clicks_ and Inefficiencies

Segment 04: How Gen AI Can Help- A Walkthrough of Common Use Cases

Segment 05: Before vs After- A Day with Gen AI in Your Workflow

Neel Majumder

Neel Majumder

Neel is a passionate leader in the development and adoption of digital health technologies, dedicated to bridging the gap between technology and healthcare professionals. As the Founder of HealthTechX Academy, he empowers individuals to continuously educate themselves in the digital health domain, fostering the creation of intuitive, compassionate, and impactful tools for both patients and healthcare providers.

In his role as an Adjunct Faculty member at the University of Toronto, Neel inspires the next generation of health informatics professionals by integrating classroom theory with real-world applications. His teaching approach ensures that students gain both technical expertise and practical experience, preparing them to navigate the evolving landscape of digital healthcare.

With over 14 years of experience in digital health, Neel has played a key role in developing leading digital health solutions for some of the world’s most recognized healthcare organizations, including Stanford University Medical Center, University Health Network, and Sidra Medical and Research Center. His expertise spans product management, cloud-based optimization, and integrated analytics, driving the advancement of provincial virtual care and digital health solutions across British Columbia.

Through HealthTechX, Neel provides accessible learning opportunities and cultivates a supportive community, ensuring that healthcare professionals remain at the forefront of digital transformation. His mission is to create a future where no healthcare professional feels left behind in the digital age.

VIEW MY CHANNEL

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 41: Chapter Introduction

Segment 42: Governance Models for Gen AI Implementation in Your EHR

Segment 43: Demo- Build Gen AI Implementation Roadmap with Asana AI

Segment 44: Bias _ Trust- Human-in-the-Loop Design

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Segment 06: Inside Epic_ Cerner_ and Meditech Real Gen AI Features

Segment 07: The Power of Prompts How to Talk to Your AI Assistant

Segment 08: Forms of AI in the EHR Agents_ Copilots_ Bots_ and More

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Segment 28: Chapter Introduction

Segment 29: How Can Gen AI Enhance Patient Education _ Stories

Segment 30: Demo Narrative Summary with Hathr.ai

Segment 31: Demo- Draft Patient Handouts in Glass Health

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Segment 19: Ambient Listening & Clinical Scribing: How It Works

Segment 20: Demo- Heidi Health – The AI Medical Scribe

Segment 21: Demo DoraScribe Free Trial

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Segment 22: What’s an AI Clinical Assistant- Think Beyond Notes

Segment 23: Demo- Internal Medicine Companion GPT

Segment 24: Demo Create Discharge Summaries with Glass Health

Segment 25: Reading - Physician Perspectives on Ambient AI Scribes

Segment 26: Hands-On-Learning: Creating Structured Documentation with Voice-to-Text AI

Segment 27: Quiz - Enhancing EHR Documentation & Workflow Efficiency with GenAI

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Segment 15: Chapter Introduction

Segment 16: Why Structured Clinical Documentation Matters

Segment 17: Demo Upheal

Segment 18: Structured Clinical Documentation with Glass Health

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Segment 35: From Data to Decisions Why Gen AI Analytics Matter

Segment 36: Demo- Generate Insights with Helical Insight

Segment 37: Demo- No-Code Dashboards with Julius AI

Segment 38: Reading - 3 Ways AI Can Improve Revenue-Cycle Management

Segment 39: Hands-On-Learning: Generating Patient-Friendly Education Materials with GenAI

Segment 40: Quiz - GenAI for EHR Dashboards & Decision Intelligence

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Segment 47: What Should You Measure- KPIs for Gen AI

Segment 48: AI Tools Evaluation Checklist

Segment 49: Closing the Loop- Using Feedback to Improve UX

Segment 50: Reading - Scaling Enterprise AI in Healthcare: The Role of Governance in Risk Mitigation Frameworks

Segment 51: Hands-On-Learning: Monitoring GenAI Tools with Dashboards

Segment 52: Quiz - Evaluation & Monitoring of GenAI Tools

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Segment 09: The EHR -Gen AI Readiness Checklist

Segment 10: Gen AI for your EHR How to evaluate vendors solutions

Segment 11: Mini Self-Assessment Walkthrough

Segment 12: Reading - Readiness Gap Hindering GenAI Adoption in Healthcare, Survey Finds

Segment 13: Hands-On-Learning: Assessing Your Organization’s GenAI Readiness

Segment 14: Quiz - Introduction & GenAI Readiness for EHRs

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Segment 32: Gen AI in Revenue Cycle Management Hidden Efficiency Zones

Segment 33: Demo RCM Agent Workflow with Keragon

Segment 34: Demo Medical Coding Assistant Gale AI

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Segment 45: Plugging into the EHR APIs _ SMART-on-FHIR

Segment 45: Demo SMART-on-FHIR Trigger Workflow (Simulated)

Segment 46: Post-Deployment Support Prompt Libraries _ Helpdesk

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Segment 53: Course Wrap-up Video

Segment 54: Project: AI Assistant for EHR Workflow Enhancement