Topic:

An Introduction to Health Data for data analysts 

What you'll 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

Requirements:

• No

• Though some experience working in a clinical or health insurance setting could further contextualize the content

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 this course is for:

• Data Analysts

• Medical Office Practice Managers

• Anyone who works with health data

• Clinical Coders