Kiến Thức Cơ Bản Về Dữ Liệu Y Tế

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

The content is pitched at entry level health data analysts.

Data characterizes, and connects complex health care systems.

A thorough understanding of health data is fundamental to health analytics, which in turn turns raw health data into actionable insights. There are also features of health data that are pertinent to making effective use of it. Though there are plenty health data, there persists issues that must be address in order to scaleably perform subsequent analyses.

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, EHR, research reports, public health, user generated

2. What health data look like:         Structured and Unstructured data, including diagnosis, procedures, drug, LOINC codes

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.