Coursera – Health Information Literacy for Data Analytics Specialization 2023-12 – Download

Description

Health Information Literacy for Data Analytics Specialization This specialization is for data and technology professionals with no prior healthcare experience who are seeking a transition to the industry to work with healthcare data. Through four courses, you will identify the types, sources, and challenges of healthcare data, as well as methods for selecting and preparing data for analysis. You will examine the range of healthcare data sources and compare terminology, including administrative, clinical, insurance claims, patient-reported, and external data. You will complete a series of practical tasks to model data and evaluate questions of efficiency and effectiveness in healthcare. This specialization will prepare you to be able to transform raw healthcare data into actionable information. Learners will examine a variety of healthcare data sets to determine the types of data, explore multiple sources and contributors of data, analyze the quality and validity of data, and use healthcare data sets to make recommendations to improve patient care.

What you will learn

Analyze various types and sources of healthcare data, including clinical, operational, claims, and patient-generated data.
Compare and contrast common data models used in healthcare data systems.
Assess the quality of health care data and appropriately interpret the meaning according to data sources and intended uses.
Create a data dictionary to communicate the source and value of data

Specificity of health information literacy for data analytics expertise

Publisher: Coursera
Teacher: Brian Paciotti
language English
Level: Intermediate
Number of courses: 4
Duration: 1 month 10 hours per week

Content of health information literacy for data analytics expertise

Health Information Literacy for Data Analytics Expertise

Requirements

This specialization expects you to already have some data analysis skills, as we will not teach how to analyze data in a specific language. We are helping you build your healthcare data literacy