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Healthcare Data Models

Master healthcare data analytics with data models, quality assessment, and system integration. Perfect for health informatics.

Master healthcare data analytics with data models, quality assessment, and system integration. Perfect for health informatics.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Health Information Literacy for Data Analytics Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

4.6

(52 ratings)

8,104 already enrolled

Instructors:

English

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Healthcare Data Models

This course includes

11 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Understand and apply different healthcare data models

  • Master data quality assessment and improvement techniques

  • Learn system integration and data mapping methods

  • Develop skills in healthcare data validation

  • Gain expertise in healthcare metrics and measurements

Skills you'll gain

Healthcare Analytics
Data Models
Star Schema
Data Quality
System Integration
Data Warehousing
Healthcare Metrics
Data Mapping
Data Validation

This course includes:

2.6 Hours PreRecorded video

4 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

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There are 4 modules in this course

This comprehensive course explores healthcare data models and their practical applications in the healthcare industry. Students learn about different data modeling approaches, including hierarchical, relational, and star schema models, while understanding their specific use cases in healthcare settings. The curriculum covers data quality assessment, system integration, and the transformation of healthcare data into actionable insights. Through hands-on exercises and real-world examples, participants gain practical experience in data mapping, validation, and quality improvement techniques essential for healthcare analytics.

Introduction to Healthcare Data Models

Module 1 · 2 Hours to complete

Data Models and Use Cases They Support

Module 2 · 2 Hours to complete

Working with Data across Systems

Module 3 · 2 Hours to complete

Improving the Quality of Healthcare Data

Module 4 · 4 Hours to complete

Fee Structure

Instructor

Doug Berman
Doug Berman

4.5 rating

5 Reviews

13,873 Students

2 Courses

Veteran Data Expert Transforming Healthcare through Analytics

Doug Berman has over 25 years of experience in the healthcare industry, beginning his career in the energy sector after earning a Master’s Degree in Operations Research from MIT, where he developed an algorithm for scheduling a space station power system. Following his graduate studies, he analyzed government energy policy at the Lawrence Berkeley National Laboratory before transitioning to healthcare to assist a childhood friend in building a database for heart patient research. Throughout his career, Doug has worked in various healthcare environments, including startups, health plans, HMOs, and academic medical centers. His contributions include developing computer systems for clinical trials, conducting operational and financial analysis for a national HMO, creating call centers for patient care support, and implementing data warehouses for large EHR projects.

Healthcare Data Models

This course includes

11 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

4.6 course rating

52 ratings

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.