Healthcare Data Literacy Coursera

Overview

Healthcare is unique because it is associated with continually evolving and complex processes associated with health management and medical care. 

Key features

• In this Healthcare Data Literacy course offered by Coursera in partnership with UC Davis we'll learn about the many facets to consider in healthcare and determine the value and growing need for data analysts in healthcare. 
• We'll learn about the Triple Aim and other data-enabled healthcare drivers. We'll cover different concepts and categories of healthcare data and describe how ontologies and related terms such as taxonomy and terminology organize concepts and facilitate computation. We'll discuss the common clinical representations of data in healthcare systems, including ICD-10, SNOMED, LOINC, drug vocabularies (e.g., RxNorm), and clinical data standards. 
• We’ll discuss the various types of healthcare data and assess the complexity that occurs as you work with pulling in all the different types of data to aid in decisions. We will analyze various types and sources of healthcare data, including clinical, operational claims, and patient generated data as well as differentiate unstructured, semi-structured and structured data within health data contexts. 
• We'll examine the inner workings of data and conceptual harmony  offer some solutions to the data integration problem by defining some important concepts, methods, and applications that are important to this domain.