Health Data 101

Health Data 101, available at $54.99, has an average rating of 4.43, with 21 lectures, 7 quizzes, based on 2138 reviews, and has 6270 subscribers.

You will learn about 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 This course is ideal for individuals who are Data Analysts or Medical Office Practice Managers or Anyone who works with health data or Clinical Coders It is particularly useful for Data Analysts or Medical Office Practice Managers or Anyone who works with health data or Clinical Coders.

Enroll now: Health Data 101

Summary

Title: Health Data 101

Price: $54.99

Average Rating: 4.43

Number of Lectures: 21

Number of Quizzes: 7

Number of Published Lectures: 21

Number of Published Quizzes: 7

Number of Curriculum Items: 28

Number of Published Curriculum Objects: 28

Original Price: $49.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

Data Analysts
Medical Office Practice Managers
Anyone who works with health data
Clinical Coders

Target Audiences

Data Analysts
Medical Office Practice Managers
Anyone who works with health data
Clinical Coders

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 featuresof 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, EHR, research reports, public health, user generated
What health data look like: Structured and Unstructured data, including diagnosis, procedures, drug, LOINC codes
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.

Course Curriculum

Chapter 1: Where Health Data Come From

Lecture 1: Introduction

Lecture 2: Health Insurance Claims

Lecture 3: Electronic Health Records

Lecture 4: Research Reports

Lecture 5: Public Health

Lecture 6: Wearables

Chapter 2: What Health Data Look Like

Lecture 1: Structured Data

Lecture 2: Unstructured Data

Chapter 3: Features of Health Data

Lecture 1: Hierarchical structure – Diagnoses

Lecture 2: Hierarchical structure – Drugs

Lecture 3: Hierarchical structure – Procedures

Lecture 4: Hierarchical structure – LOINCs and other

Lecture 5: Disease Etiology, Chronology, Supply vs Demand

Chapter 4: Issues of Health Data

Lecture 1: Gaps

Lecture 2: Errors Examples/Corrections & Data Use Considerations

Lecture 3: Completion and Wrap Up!

Chapter 5: Bonus sections from my Predictive Modeling course

Lecture 1: Planning the analysis

Lecture 2: Getting Buy in for the analysis

Chapter 6: Bonus sections

Lecture 1: 5 key elements of health insurance products

Lecture 2: Intro to the Payors lines of business (health insurers)

Lecture 3: Machine Learning No Coding Required! – Decision Trees

Instructors

Eddie Jay
Health Analytics Guru / Actuary

Rating Distribution

1 stars: 17 votes
2 stars: 38 votes
3 stars: 253 votes
4 stars: 801 votes
5 stars: 1029 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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