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Healthcare Data Models

Approx. 12 hours to complete

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Course Summary

Learn how to model and analyze healthcare data using best practices and industry standards in this comprehensive course. Gain a deep understanding of healthcare data models and how to use them to improve patient outcomes and reduce costs.

Key Learning Points

Understand the key concepts of healthcare data modeling
Learn to use industry-standard tools and techniques for data analysis
Apply your knowledge to real-world healthcare scenarios

Learning Outcomes

Understand the importance of healthcare data modeling
Master industry-standard tools and techniques for data analysis
Apply your knowledge to real-world healthcare scenarios

Prerequisites or good to have knowledge before taking this course

Basic understanding of healthcare industry
Familiarity with data analysis tools and techniques

Course Difficulty Level

Intermediate

Course Format

Online Self-Paced
Video Lectures
Hands-On Exercises

Similar Courses

Healthcare Data Analytics
Health Informatics

Related Education Paths

Related Books

Description

Career prospects are bright for those qualified to work in healthcare data analytics. Perhaps you work in data analytics, but are considering a move into healthcare where your work can improve people’s quality of life. If so, this course gives you a glimpse into why this work matters, what you’d be doing in this role, and what takes place on the Path to Value where data is gathered from patients at the point of care, moves into data warehouses to be prepared for analysis, then moves along the data pipeline to be transformed into valuable insights that can save lives, reduce costs, to improve healthcare and make it more accessible and affordable. Perhaps you work in healthcare but are considering a transition into a new role. If so, this course will help you see if this career path is one you want to pursue. You’ll get an overview of common data models and their uses. You’ll learn how various systems integrate data, how to ensure clear communication, measure and improve data quality. Data analytics in healthcare serves doctors, clinicians, patients, care providers, and those who carry out the business of improving health outcomes. This course of study will give you a clear picture of data analysis in today’s fast-changing healthcare field and the opportunities it holds for you.

Outline

Introduction to Healthcare Data Models
Course Introduction
Module 1 Introduction
What is a Data Model?
Speaking the Same Language and Capturing the Context
The Uniqueness of Data Models as Used in Healthcare
Path to Value: Operational Systems to Actionable Information, Part 1
Path to Value: Operational Systems to Actionable Information, Part 2
Data Flows among Systems and Keeping Systems Connected
What We're Measuring in Healthcare Data Models, Part 1
What We're Measuring in Healthcare Data Models, Part 2
A Note From UC Davis
Module 1 Quiz

Data Models and Use Cases They Support
Module 2 Introduction
Selecting a Data Model
The Hierarchical Model and Supported Use Cases
The Relational Schema and Supported Use Cases
The Star Schema and Supported Use Cases
Comparing and Contrasting Healthcare Data Models
Module 2 Quiz

Working with Data across Systems
Module 3 Introduction
Purpose, Use Cases, and Measurements in Healthcare Data
Normalization of Healthcare Data
Integrating Healthcare Data Across Sources and Systems
Common Identifiers and The Master Patient Index (MPI)
Module 3 Quiz

Improving the Quality of Healthcare Data
Module 4 Introduction
Data Quality: Driven by Questions We Ask and Levels of Use
Verification and Validation of Data for Consistency: Finding Data Errors
Data Mapping
Course Summary
Data Mapping article from AHIMA
What Mapping and Modeling Means to the Health Information Management Professional
Welcome to Peer Review Assignments!
Module 4 Quiz

Summary of User Reviews

The Healthcare Data Models course on Coursera has received positive reviews from students. Many users have praised the course for its comprehensive content and practical applications. Overall, the course has been highly rated by users.

Key Aspect Users Liked About This Course

The course's comprehensive content and practical applications have been praised by many users.

Pros from User Reviews

The course covers a wide range of healthcare data models.
The assignments and case studies provide practical applications of the concepts.
The instructors are knowledgeable and engaging.
The course is well-structured and easy to follow.
The course provides a good foundation for understanding healthcare data models.

Cons from User Reviews

Some users have found the course to be too basic.
The course may not be suitable for advanced learners.
The course may require more technical knowledge than some users expected.
Some users have experienced technical difficulties with the platform.
The course may not be as engaging for learners who are not interested in healthcare data models.

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