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
- Though some experience working in a clinical or health insurance setting could further contextualize the content
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
Where health data come from: 5 main sources including health insurance claims and EHR
What health data look like: Structured and Unstructured data
Features of health data: Hierarchical structures, Disease etiology, chronology, supply vs demand
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
I have worked in the data rich healthcare space for over 17 years.
I'm passionate about pragmatically utilizing health data to find actionable insights, thereby improving patient care.
I've worked for a variety of health care organizations including insurers, hospitals, pharmaceutical companies and software startups.
I know how to get value out of healthcare data.