About this Course
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Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 11 hours to complete

Suggested: 4 weeks of study, 2-5 hours/week...

English

Subtitles: English

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 11 hours to complete

Suggested: 4 weeks of study, 2-5 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
2 hours to complete

Solving the Business Problems

8 videos (Total 61 min), 1 reading, 1 quiz
8 videos
Module 1 Introduction3m
Provider Profiling10m
How to Make Fairer Comparisons Using Risk Adjustment6m
How Risk Adjustment is Performed8m
Patient Safety: Measuring Adverse Events7m
Super-Utilizers of Health Resources10m
Fraud Detection10m
1 reading
A Note From UC Davis10m
1 practice exercise
Module 1 Quiz30m
Week
2
2 hours to complete

Algorithms and "Groupers"

7 videos (Total 51 min), 1 quiz
7 videos
Clinical Identification Algorithms (CIA)9m
HEDIS and AHRQ Quality Measures7m
Analytical Groupers6m
Open Source Groupers - Grouping Diagnoses and Procedures7m
Open Source Groupers - Comorbidity, Patient Risk, and Drugs8m
Commercial Groupers10m
1 practice exercise
Module 2 Quiz30m
Week
3
3 hours to complete

ETL (Extract, Transform, and Load)

6 videos (Total 49 min), 1 quiz
6 videos
Analytical Processes and Planning10m
Data Mining and Predictive Modeling - Part 16m
Data Mining and Predictive Modeling - Part 26m
Extracting Data for Analysis10m
Transforming Data for Analytical Structures11m
1 practice exercise
Module 3 Quiz30m
Week
4
5 hours to complete

From Data to Knowledge

7 videos (Total 49 min), 1 reading, 2 quizzes
7 videos
Solving Analytical Problems with Risk Stratification8m
Risk Stratification: Variables, Groupers, Predictors8m
Risk Stratification: Model Creation/Evaluation and Deployment of Strata9m
Medicare Claims Data - Source and Documentation8m
Final Tips to Help Understand and Interpret Healthcare Data8m
Course Summary2m
1 reading
Welcome to Peer Review Assignments!10m
1 practice exercise
Module 4 Quiz30m

Instructor

Avatar

Brian Paciotti

Healthcare Data Scientist
Research IT

About University of California, Davis

UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact....

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....
Health Information Literacy for Data Analytics

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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.

More questions? Visit the Learner Help Center.