Health Data 101

An Introduction to Health Data for data analysts

Ratings 4.46 / 5.00
Health Data 101

What You Will Learn!

  • Introduction to Health Data - sources, types, uses
  • Introduction to Diagnosis, medical procedure, drug, laboratory codes
  • Features of health data that enhance analyses
  • Issues with health data and how to practically handle these

Description

This is an introductory course for health data, from the perspective of data analysts.

Health data connects complex health care systems. An understanding of health data is fundamental to health analytics.

The content is pitched at entry level health data analysts.

Through this course, you will

  • gain a highly valuable skill in the healthcare sector

  • understand how health data records information about each patient and medical encounter

  • learn a few features of health data that enable you to perform more insightful analyses

  • be able to communicate more effectively with clinical and analytic colleagues

  • be empowered to improve care processes and make a difference to many people’s health and lives


The 4 sections we will cover

  1. Where health data come from:  5 main sources including health insurance claims and EHR

  2. What health data look like:         Structured and Unstructured data

  3. Features of health data:              Hierarchical structures, Disease etiology, chronology, supply vs demand

  4. Issues of health data:                  Gaps, Errors, and how to practically deal with these

NEW!!! 2 Bonus Sections from my Predictive Modeling course on Planning and Getting buy in for an analysis.

Who Should Attend!

  • Data Analysts
  • Medical Office Practice Managers
  • Anyone who works with health data
  • Clinical Coders

TAKE THIS COURSE

Tags

  • Data Analysis
  • Healthcare IT

Subscribers

5787

Lectures

18

TAKE THIS COURSE



Related Courses