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AI in Healthcare: AI-Driven EHR & Data Management

Name: AI in Healthcare: AI-Driven EHR & Data Management
Rating: 4.6 (28 reviews)

Master AI in healthcare for EHR automation, clinical documentation, hospital management, and medical data analysis.

Role Play

Created byStarweaver Experts, HealthTechX Institute - Neel Majumder, Paul Siegel

Last updated 4/2026

English

What you'll learn

Understand how AI in healthcare transforms EHR automation, reduces documentation burden, and improves clinical workflow efficiency.
Use AI-driven healthcare solutions to enhance clinical documentation, accuracy, and real-time medical decision support.
Apply AI medical data analysis to extract insights from healthcare data and improve operational performance.
Explore practical AI uses in healthcare, including patient education, coding support, and workflow automation.
Evaluate real-world AI in healthcare case studies to see how hospitals improve care quality and cost control.
Implement scalable AI in healthcare administration with strong governance, compliance, and data security practices.
Analyze how generative AI in healthcare supports documentation, communication, and smarter patient engagement.
Assess the advantages and disadvantages of artificial intelligence in healthcare for responsible adoption.
Examine the growth of AI in healthcare and emerging trends shaping the future of digital health systems.

Course content

13 sections • 52 lectures • 4h 8m total length

Intro Video to Course3:48
Introduction to the course, key topics to be covered, and call to action.
Introduction to Section1:02
Introduction to the Section, key topics to be covered, and call to action.
The EHR Experience Today: Burnout, Clicks, and Inefficiencies6:04
Learn about the everyday struggles of clinicians and staff with EHRs - from excessive clicks to lost time.
How GenAI Can Help: A Walkthrough of Common Use Cases6:04
Discover how Gen AI can simplify tasks like note-taking, chart review, scheduling, and patient messaging..
Before vs After: A Day with GenAI in Your Workflow5:04
Experience a side-by-side comparison of a clinician's day - with and without Gen AI co-pilot assistance.

Inside Epic, Cerner, and Meditech: Real Gen AI Features6:11
A first-hand look at how major EHR vendors are embedding AI into daily clinical and admin tasks.
The Power of Prompts: How to Talk to Your AI Assistant5:22
Basic prompt engineering in clinical context. Learn how to write clear, effective prompts to get accurate and useful results from AI assistants.
Forms of AI in the EHR: Agents, Copilots, Bots, and More5:18
Understand the different ways AI shows up in EHRs - voice agents, bots for nurses, and chart copilots,embedded voice agents, assistants for nurses, admins, etc.

The EHR-GenAI Readiness Checklist5:09
Learn how to assess whether your team and systems are ready for Gen AI tools - from workflows to data
GenAI for your EHR: How to Evaluate Vendors/Solutions5:05
Discover key questions and red flags when assessing Gen AI vendors or tools for your organization.
Mini Self-Assessment Walkthrough4:47
Follow along with a guided exercise to reflect on your AI readiness and identify next steps.
Readiness Gap Hindering GenAI Adoption in Healthcare, Survey Finds0:16
Hands-On-Learning: Assessing Your Organization’s GenAI Readiness0:15
Are You Ready for GenAI powered EHRs’?

Introduction to Section2:26
Introduction to the Section, key topics to be covered, and call to action.
Why Structured Clinical Documentation Matters5:52
Understand the hidden risks of free-text overload and why structured data is essential for clarity.
Demo: Upheal9:27
Watch a GPT-powered assistant turn a messy HPI note into a structured clinical summary, step by step.
Demo: Structured Clinical Documentation with Glass Health9:42
Learn how to generate problem lists and SOAP notes using Glass Health’s AI assistant.

Ambient Listening & Clinical Scribing: How It Works4:46
Explore how voice-based AI tools are reducing typing fatigue and improving real-time documentation.
Demo: Heidi Health-The AI Medical Scribe6:50
See Heidi Health capture a doctor-patient conversation and turn it into accurate clinical notes.
Demo: DoraScribe Free Trial7:45
Try out DoraScribe’s free trial to dictate notes and convert them into SOAP format with minimal edits.

What’s an AI Clinical Assistant? Think Beyond Notes4:06
Discover how AI can support more than documentation—like generating care plans or tracking patient goals.
Demo: Internal Medicine Companion GPT8:27
Watch how a custom GPT helps internal medicine physicians answer clinical questions in real time.
Demo: Create Discharge Summaries with Glass Health7:59
Learn how to generate After-Visit Summaries (AVS) that are simple, personalized, and patient-friendly.
Physician Perspectives on Ambient AI Scribes0:17
Hands-On-Learning: Creating Structured Documentation with Voice-to-Text AI0:20
GenAI Clinical Assistants

Introduction to Section2:47
Introduction to the section, key topics to be covered, and call to action.
How Can GenAI Enhance Patient Education & Stories5:00
Understand how Gen AI personalizes communication, supports shared decision-making, and builds patient trust.
Demo: Narrative Summary with Hathr.ai10:01
Watch Gen AI summarize patient data into coherent narratives that help clinicians understand full context.
Demo: Draft Patient Handouts in Glass Health6:53
See how to generate personalized handouts for discharge, education, or follow-up using Gen AI tools.

From Data to Decisions: Why GenAI Analytics Matter4:59
Learn why surfacing insights from EHR data is key to improving care delivery and operational efficiency.
Demo: Generate Insights with Helical Insight5:37
Analyze patient risk profiles and anticipate readmissions using Gen AI-powered prediction engines.
Demo: No-Code Dashboards with Julius AI7:53
Chat with your data in real time using Gen AI and no-code analytics platforms.
3 Ways AI Can Improve Revenue-Cycle Management0:20
Hands-On-Learning: Generating Patient-Friendly Education Materials with GenAI0:20
GenAI for EHR Dashboards & Decision Intelligence
Making the Case for Gen AI in the EHR: Workflow Redesign, Safety, and Adoption Strategy

Introduction to Section2:38
Introduction to the section, key topics to be covered, and call to action.
Governance Models for GenAI Implementation in Your EHR4:02
Understand who owns AI systems, how to structure accountability, and what a governance committee should do
Demo: Build GenAI Implementation Roadmap with Asana AI7:53
Visualize an implementation timeline, assign tasks, and simulate governance planning in Asana with AI.
Bias & Trust: Human-in-the-Loop Design5:10
Learn how to minimize risk from hallucinations and ensure oversight for every AI action in clinical settings.

Requirements

Participants should have basic experience working with Electronic Health Records (EHRs) and a general understanding of how AI in healthcare supports clinical and administrative workflows.
No coding knowledge is required. The course focuses on practical, no-code AI-driven healthcare solutions, including EHR automation, clinical documentation, and AI medical data analysis.
Familiarity with digital healthcare tools is helpful, but professionals at all technical levels can apply these concepts in clinical practice, healthcare administration, and health information management settings.

Description

The AI-Driven Electronic Health Records (EHR) & Data Management specialization is built for professionals who want to lead real change through AI in healthcare. This program equips healthcare teams with practical skills to implement AI-driven healthcare solutions, modernize EHR systems, and transform how clinical and administrative data is managed.

You will explore how AI in healthcare is transforming documentation, analytics, and operational performance. From EHR automation and clinical documentation improvement to enhanced patient engagement and smarter decision-making, this course shows how AI is helping in the healthcare industry deliver measurable impact.

Practical Applications of AI in Healthcare

Using a structured, application-focused approach, the program demonstrates real-world AI uses in healthcare through tools such as Glass Health, DoraScribe, and Keragon. You will work with:

Voice-to-SOAP transcription powered by generative AI in healthcare

Automated patient education workflows

No-code EHR workflow integration

Intelligent task routing and process automation

Real-time AI medical data analysis for clinical insights

Through expert-led lessons, healthcare case studies, and guided simulations, you will see how artificial intelligence in clinical practice and AI in healthcare administration are applied safely and effectively across hospital and outpatient environments.

Healthcare Data, Governance & Responsible AI

Beyond implementation, this specialization addresses the governance and risk considerations surrounding AI healthcare data. You will examine:

Artificial intelligence in health information management

Compliance and regulatory frameworks

Data privacy and security in AI systems

Advantages and disadvantages of artificial intelligence in healthcare

Ethical considerations in generative AI adoption

You will also explore how the growth of AI in healthcare and the rise of artificial intelligence in healthcare applications are reshaping digital transformation strategies across medical institutions.

Lead the Future of Digital Health

By the end of the program, you will be prepared to:

Implement scalable AI in hospital management and EHR environments

Optimize documentation efficiency and care coordination

Deploy secure, compliant AI workflows

Contribute to strategic digital modernization initiatives

This specialization positions you at the forefront of how AI is transforming healthcare, empowering you to modernize EHR systems, enhance patient outcomes, and drive operational excellence through intelligent automation and data-driven decision-making.

Who this course is for:

This course is designed for healthcare professionals seeking to understand and apply AI in healthcare within real clinical and administrative environments. It is ideal for physicians, residents, and advanced practice providers who want to improve clinical documentation, reduce EHR burden, and leverage EHR automation to enhance patient care efficiency.
Nurses and nurse educators will gain practical insights into using generative AI in healthcare to streamline note-taking, improve patient education materials, and strengthen communication workflows within modern care settings.
Medical coders, clinical documentation specialists, and revenue cycle professionals will learn how AI-driven healthcare solutions can support coding accuracy, automate repetitive tasks, and improve AI healthcare data quality for compliance and reporting.
Healthcare administrators, and managers will explore how artificial intelligence (AI) in healthcare administration can optimize workflows, improve operational performance, and support data-driven decision-making. Whether you work directly in patient care, oversee hospital operations, or manage healthcare data systems, this course equips you with the knowledge to apply AI in clinical practice, strengthen digital health infrastructure, and improve care quality through responsible AI adoption.

AI in Healthcare: AI-Driven EHR & Data Management

What you'll learn

Explore related topics

Course content

Introduction & GenAI Readiness for EHRs5 lectures • 22min

What Leading EHRs Are Already Doing3 lectures • 17min

Are You Ready for GenAI powered EHRs’?5 lectures • 16min

From Free Text to Structured Clinical Documentation & Summaries4 lectures • 27min

Voice to Clinical Note: Ambient & Scribe Solutions3 lectures • 19min

GenAI Clinical Assistants5 lectures • 21min

GenAI for Patient Education & Summaries4 lectures • 25min

GenAI Assistants for Revenue Cycle Management & Coding3 lectures • 23min

GenAI for EHR Dashboards & Decision Intelligence6 lectures • 19min

Planning & Governance for GenAI4 lectures • 20min

Requirements

Description

Who this course is for: