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Health Data 101
Rating: 4.5 out of 5(3,540 ratings)
9,507 students

Health Data 101

Intro to Health Data, sources, features, issues: insurance claims, EHR, diagnosis, procedure, drug codes
Created byEddie Jay
Last updated 7/2024
English

What you'll 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

Course content

6 sections • 21 lectures • 1h 8m total length

  • Introduction1:00

    Welcome to Health Data 101. Thank you for choosing my course!

  • Health Insurance Claims2:09

    Health insurance claims data are a major source of health care data. As long as the the medical services are paid by health insurers, you will see the claims. This is a relative well structured and complete source, although clinical detail can be lacking at times.


    Check out my course on US Health System - Health Insurance Products also.

  • Insurance Claims
  • Electronic Health Records2:19

    Electronic health records are another major source of health data. EHR systems enable medical professionals to record information about patient visits. Clinical richness is the major advantage of EHRs, but accuracy can vary.

  • EHR strengths
  • Research Reports2:57

    Research reports contain great health data, usually of a more scientific nature. When designed well, these can offer great insights. But be aware of sample size, biases of and any financial influence on the study.

  • Public Health2:17

    Public health organizations contribute enormously to health data, especially for prevalence and incidence rates. Learn where to find these and know the limitations of each.

  • Wearables2:40

    Wearables can track numerous measures including heart rate, blood pressure. They hold great promise for health care, but some challenges remain.

  • Key takeaways from sources of health data session

Requirements

  • No
  • Though some experience working in a clinical or health insurance setting could further contextualize the content

Description

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.

Who this course is for:

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

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