This course is part of the Health Information Literacy for Data Analytics Specialization

4.5
stars
46 ratings

Doug Berman

6,565 already enrolled

Offered By

Health Information Literacy for Data Analytics SpecializationUniversity of California, Davis

About this Course

5,042 recent views

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.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 2 of 4 in the

Health Information Literacy for Data Analytics Specialization

Intermediate Level

Approx. 11 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 2 of 4 in the

Health Information Literacy for Data Analytics Specialization

Intermediate Level

Approx. 11 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Doug Berman

Director, Data Acquisition and Architecture

UC Davis Health System

10,804 Learners

2 Courses

Offered by

University of California, Davis

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

Syllabus - What you will learn from this course

Week1

Week 1

3 hours to complete

Introduction to Healthcare Data Models

3 hours to complete

10 videos (Total 58 min), 1 reading, 1 quiz

10 videos

Course Introduction2mModule 1 Introduction52sWhat is a Data Model?6mSpeaking the Same Language and Capturing the Context6mThe Uniqueness of Data Models as Used in Healthcare6mPath to Value: Operational Systems to Actionable Information, Part 17mPath to Value: Operational Systems to Actionable Information, Part 26mData Flows among Systems and Keeping Systems Connected7mWhat We're Measuring in Healthcare Data Models, Part 17mWhat We're Measuring in Healthcare Data Models, Part 25m

1 reading

A Note From UC Davis10m

1 practice exercise

Module 1 Quiz30m

Week2

Week 2

2 hours to complete

Data Models and Use Cases They Support

2 hours to complete

6 videos (Total 33 min)

Week3

Week 3

3 hours to complete

Working with Data across Systems

In this module, you'll be able to explain how information is stored in data models and how we assemble relevant information to analyze an interesting problem that can improve our healthcare systems. We'll review how we normalize data and how that facilitates analysis. We'll go on to discuss how to bring together information from different sources and across various functional systems. We will also consider how to measure it accurately.

3 hours to complete

5 videos (Total 41 min)

Week4

Week 4

4 hours to complete

Improving the Quality of Healthcare Data

In this module, you will be able to examine the data that goes into these models and explain how we work with the information that comes from the practice and business of medicine. We will transition from raising the data quality to focusing on finding and correcting data errors by validation and verification. You will also be able to describe several ways data is checked to eliminate errors and improve data quality.

4 hours to complete

5 videos (Total 27 min), 3 readings, 2 quizzes

Reviews

4.5

11 reviews

5 stars
67.39%
4 stars
23.91%
3 stars
4.34%
2 stars
4.34%

TOP REVIEWS FROM HEALTHCARE DATA MODELS

by JAJun 28, 2019

Healthcare Data Models is a great course that elaborately exposed various models relevant for healthcare data analysis.

Doug did a very good job.

by DOct 9, 2020

i have came across various data releted concecrn of healthcare to provide n=better complience to patients.

thanks a lot to university of california and coursera.

by RTMar 4, 2019

Great examples and reinforces what the goals of each module are.

by DROct 30, 2020

Course is good but at a very basic level. Little more technical depth around developing a healthcare data model would have been useful

View all reviews

About the Health Information Literacy for Data Analytics Specialization

This Specialization is intended for data and technology professionals with no previous healthcare experience who are seeking an industry change to work with healthcare data. Through four courses, you will identify the types, sources, and challenges of healthcare data along with methods for selecting and preparing data for analysis. You will examine the range of healthcare data sources and compare terminology, including administrative, clinical, insurance claims, patient-reported and external data. You will complete a series of hands-on assignments to model data and to evaluate questions of efficiency and effectiveness in healthcare. This Specialization will prepare you to be able to transform raw healthcare data into actionable information.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

Build employee skills, drive business results

Discover Coursera for Business

Healthcare Data Models

About this Course