Ementorhub

What you'll learn

Articulate different forms of clinical and population level data.

Describe the data required to answer a healthcare information problem.

Distinguish between data questions and data queries when dealing with a healthcare information problem.

Skills you'll gain

Health Informatics

Electronic Medical Record

Clinical Data Management

Data Quality

Big Data

Interoperability

Data Analysis

Data Integration

Databases

Health Care

Query Languages

Data Mining

Health Information Management

Healthcare Industry Knowledge

There are 4 modules in this course

Health data are notable for how many types there are, how complex they are, and how serious it is to get them straight. These data are used for treatment of the patient from whom they derive, but also for other uses. Examples of such secondary use of health data include population health (e.g., who requires more attention), research (e.g., which drug is more effective in practice), quality (e.g., is the institution meeting benchmarks), and translational research (e.g., are new technologies being applied appropriately). By the end of this course, students will recognize the different types of health and healthcare data, will articulate a coherent and complete question, will interpret queries designed for secondary use of EHR data, and will interpret the results of those queries.

Data Sources and Data Challenges

Formulating Data Questions

Real World Applications of Data Science in Health Informatics