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Health Informatics Capstone & Innovation Project

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Health Informatics Capstone & Innovation Project

This course is part of Digital Healthcare Informatics and AI Specialization

Instructor: Frank Naeymi-Rad

Included with

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2 modules

Gain insight into a topic and learn the fundamentals.

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

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Build your subject-matter expertise

This course is part of the Digital Healthcare Informatics and AI Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 2 modules in this course

This course is designed for intermediate to advanced students in health informatics who are eager to apply their theoretical knowledge in practical settings. Participants will learn to design and implement real-world projects in both Clinical Health and Public Health environments. The course covers the selection and execution of projects, focusing on innovations that enhance patient and provider experiences through Electronic Health Record (EHR) systems and FHIR servers.

Module details

This module introduces the theoretical foundation for responsible AI innovation through “Contextual Intelligence,” highlighting how real-world context shapes safe algorithm use. Learners will analyze the AI Hype Cycle and apply tools like NABC and SWOT to design and evaluate healthcare innovations.

What's included

21 videos4 readings3 assignments1 discussion prompt

21 videosTotal 52 minutes

About the Specialization2 minutes
Welcome & Course Overview2 minutes
Instructor Introduction5 minutes
C4M1L1.1 Lesson Overview and Why AI Needs the Right Question3 minutes
C4M1L1.2 Why Context matters in AI3 minutes
C4M1L1.3 What Is the AI Hype Cycle3 minutes
C4M1L1.4 Stage 1: Technology Trigger2 minutes
C4M1L1.5 Stage 2: Peak of Inflated Expectation2 minutes
C4M1L1.6 Stage 3: Trough of Disillusionment2 minutes
C4M1L1.7 Stage 4: Slope of Enlightenment2 minutes
C4M1L1.8 Stage 5: Plateau of Productivity2 minutes
C4M1L1.9 Why we Must Understand the Curve3 minutes
C4M1L2.1 Lesson Overview and Value Proposition2 minutes
C4M1L2.2 Why Value Proposition Matters2 minutes
C4M1L2.3 The NABC: From Idea to Impact2 minutes
C4M1L2.4 SWOT Analysis: Strategic assessment of the product3 minutes
C4M1L2.5 Why SWOT Matters in Healthcare Innovation3 minutes
C4M1L2.6 Case Study: HealthPredictorAI Part 13 minutes
C4M1L2.7 Case Study: HealthPredictorAI Part 23 minutes
C4M1L2.8 From Analysis to Action2 minutes
C4M1L2.9 SWOT Thinking Across Healthcare Domains3 minutes

4 readingsTotal 80 minutes

Syllabus10 minutes
Capstone Project Application Installation Guide30 minutes
Module 1 Overview10 minutes
Module 1 Readings30 minutes

3 assignmentsTotal 90 minutes

Mod 1 Lesson 1 Check Your Knowledge Quiz30 minutes
Mod 1 Lesson 2 Check Your Knowledge Quiz30 minutes
Module 1 Quiz30 minutes

1 discussion promptTotal 10 minutes

Meet & Greet the Class10 minutes

This Capstone Project moves learners from theory to practice by deploying lightweight local LLMs using LMStudio and evaluating their safety against RxNorm drug fact sheets. Learners will score model accuracy and reliability, then use the results to develop a strategic innovation plan using NABC and SWOT frameworks.