Health Data 101

Intro to Health Data, sources, features, issues: insurance claims, EHR, diagnosis, procedure, drug codes
4.56 (2925 reviews)
Udemy
platform
English
language
Data & Analytics
category
instructor
Health Data 101
8 059
students
1 hour
content
Jul 2024
last update
$19.99
regular price

Why take this course?

🚀 Course Title: Health Data 101: An Introduction to Health Data for Data Analysts 📊


👩‍⚕️🔬 Course Headline: Dive into the World of Health Data – Your Key to Unlocking Insights in Healthcare!


Introduction: Welcome to Health Data 101, an introductory course designed for entry-level health data analysts. In this course, you'll embark on a journey to understand the intricacies of health data, which is the backbone of healthcare analytics. With a focus on practical applications and real-world examples, you'll gain a comprehensive overview of health data and its importance in the ever-evolving healthcare industry.

Why Take This Course?

  • Gain a Highly Valuable Skill: Health data analysis is a sought-after skill in the healthcare sector, offering you a competitive edge.
  • Understand Health Data Systems: Learn how health data records information about each patient and medical encounter, enabling you to track and analyze healthcare trends.
  • Perform More Insightful Analyses: Acquire knowledge of key features of health data that will allow you to delve deeper into your analyses and extract meaningful insights.
  • Communicate Effectively: Enhance your ability to communicate with both clinical and analytical colleagues, fostering collaborative environments and effective decision-making.
  • Impact Healthcare Outcomes: Your newfound expertise can be pivotal in improving care processes and ultimately making a difference in many people's health and lives.

Course Breakdown:

1️⃣ Where Health Data Come From:

  • Explore the 5 main sources of health data, including health insurance claims and Electronic Health Records (EHR).

2️⃫ What Health Data Look Like:

  • Delve into the structures behind health data – both structured and unstructured.

3️⃣ Features of Health Data:

  • Discover the hierarchical structures, disease etiology, chronology, supply vs demand dynamics within health data.

4️⃣ Issues of Health Data:

  • Learn to identify and handle gaps, errors, and other challenges in health data to ensure the integrity and accuracy of your analyses.

Bonus Sections:

  • Planning an Analysis: A new addition from our Predictive Modeling course, covering the critical steps for planning a successful analysis.
  • Getting Buy-In for Your Analysis: Tips and strategies to gain support and resources for your health data projects within the healthcare community.

Course Benefits:

  • Learn at your own pace with flexible course materials.
  • Access to real-world case studies and examples.
  • Engage with a supportive community of peers and industry professionals.
  • Receive expert guidance from Eddie Jay, an experienced data analyst in the healthcare field.

Enroll now to transform your data analytics skills and make a significant impact on the future of healthcare! 🌟


📆 Key Dates:

  • Enrollment Open: Immediately
  • Course Starts: [Start Date]
  • Bonus Sections Available: Now, as part of our enhanced learning experience.

Don't miss out on this opportunity to become a pivotal player in the realm of health data analysis. Sign up today and take your first step towards a career that matters! 💊✨

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2084006
udemy ID
13/12/2018
course created date
07/01/2021
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