Set Reminder Save for later

Healthcare Data Literacy

This course is a part of Health Information Literacy for Data Analytics, a 4-course Specialization series from Coursera.

This course will help lay the foundation of your healthcare data journey and provide you with knowledge and skills necessary to work in the healthcare industry as a data scientist. Healthcare is unique because it is associated with continually evolving and complex processes associated with health management and medical care. We'll learn about the many facets to consider in healthcare and determine the value and growing need for data analysts in healthcare. We'll learn about the Triple Aim and other data-enabled healthcare drivers. We'll cover different concepts and categories of healthcare data and describe how ontologies and related terms such as taxonomy and terminology organize concepts and facilitate computation. We'll discuss the common clinical representations of data in healthcare systems, including ICD-10, SNOMED, LOINC, drug vocabularies (e.g., RxNorm), and clinical data standards. We’ll discuss the various types of healthcare data and assess the complexity that occurs as you work with pulling in all the different types of data to aid in decisions. We will analyze various types and sources of healthcare data, including clinical, operational claims, and patient generated data as well as differentiate unstructured, semi-structured and structured data within health data contexts. We'll examine the inner workings of data and conceptual harmony offer some solutions to the data integration problem by defining some important concepts, methods, and applications that are important to this domain.

Get Details and Enroll Now

OpenCourser is an affiliate partner of Coursera.

Get a Reminder

Not ready to enroll yet? We'll send you an email reminder for this course

Send to:

Coursera

&

University of California, Davis

Rating 4.0 based on 1 ratings
Length 5 weeks
Effort 4 weeks of study, 2-5 hours/week
Starts Apr 22 (4 weeks ago)
Cost $49
From University of California, Davis via Coursera
Instructor Brian Paciotti
Download Videos On all desktop and mobile devices
Language English
Subjects Science Data Science
Tags Life Sciences Data Science Data Analysis Health Informatics

Get a Reminder

Get an email reminder about this course

Send to:

What people are saying

We analyzed reviews for this course to surface learners' thoughts about it

did not look in one review

Did not look any TA was assigned to the program.

ta was assigned in one review

giving 4 star in one review

I am giving 4 star due to issue with lack of forum responses.

issue with lack in one review

lack of forum in one review

due to issue in one review

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Vice Associate President Healthcare Data Analyst $46k

Healthcare Data Auditor $49k

Healthcare Data Coordinator $59k

Healthcare Fraud Data Analyst $62k

Predictive Data Modeler / Data Modeler with Healthcare and Government $67k

Healthcare 4 $69k

Healthcare Data Analyst Manager 2 $79k

HealthCare Quality Data Analyst $85k

Healthcare Data Analyst Lead $89k

Healthcare Data Analyst Consultant $92k

Senior Healthcare Data Specialist $98k

Healthcare IT $105k

Write a review

Your opinion matters. Tell us what you think.

Coursera

&

University of California, Davis

Rating 4.0 based on 1 ratings
Length 5 weeks
Effort 4 weeks of study, 2-5 hours/week
Starts Apr 22 (4 weeks ago)
Cost $49
From University of California, Davis via Coursera
Instructor Brian Paciotti
Download Videos On all desktop and mobile devices
Language English
Subjects Science Data Science
Tags Life Sciences Data Science Data Analysis Health Informatics

Similar Courses

Sorted by relevance

Like this course?

Here's what to do next:

  • Save this course for later
  • Get more details from the course provider
  • Enroll in this course
Enroll Now