Intro to Big Data & Decisions in Healthcare , Plain & Simple

Description

Note: This course was completed updated in August 2023.  A new section on clinical decision making has been added.

WHY IS THIS COURSE IMPORTANT?

Medical errors are now the third leading cause of death in America. A system that can provide "Evidence Based" decision support to clinical staff in the diagnosis and treatment of patients has the potential of reducing many of these errors. It also has the potential of streamlining processes and improving patient experience. Big Data can provide the solid foundation for these clinical decision support systems. But the volume is enormous and it is increasing each day. This is complicated by the speed at which real time devices stream healthcare data. How do we link all of this data? How do we make sure that it is accurate? How do we manage it? How do we make it easily accessible? This course will begin to lay the foundation for addressing many of these issues.

WHAT WILL YOU LEARN IN THIS COURSE?

Fundamentals of Big Data

• What is Big Data?

• The 4Vs of Big Data

• Structured vs Unstructured Data

The Challenges of Big Data

• Big Data, The Asset

• Data Accuracy, Stewards and Governance

• The Power of Big Data

• The Users of Big Data

• The Dangers of Big Data

Interoperability & Databases

• What is a Database?

• Data Islands and Interoperability

Big Data, The Foundation for Making Decisions

• From Big Data to Insights

• Decision Making Process

• Causation and Correlation

• Medical Error Example

• Pharmacy Example

• Radiology Example

This course includes:

• Video lectures walking you through the various aspects of Big Data & making clinical decisions

• Quiz to test your retention

• Significant number of resources to do a deeper dive into his topic.

WHO IS THE IDEAL STUDENT FOR THIS COURSE?

You will learn a lot from this course if you are

• Thinking about choosing healthcare as a career

• Looking to advance your career in healthcare

• Looking to expand your knowledge of healthcare to better perform your current job and better understand how it fits into the ecosystem of patient care and better serve those in need

• Curious about everything and want to learn more about healthcare just for the sake of expanding your knowledge base.

WHAT IS YOUR TEACHING STYLE?

My teaching style is a very pragmatic one. I assume you know nothing about this topic and start with the foundation and build from there. Some of these concepts could be challenging, so I sprinkle in as many examples as I can, both non healthcare and healthcare, to assure full understanding of the topic. This is why I have appended "Plain and Simple" to all my courses.

WHY ARE YOU QUALIFIED TO TEACH THIS COURSE?

I spent 35 years in the designing and launching of medical imaging products and services. My career evolved from leading engineering teams, to becoming VP Marketing and then to president of a Healthcare IT firm. It is also based on 15 years of university teaching.

What You Will Learn!

• Differentiate between structured and unstructured data
• How to get databases to share information
• Form a foundation to better understand machine learning and artificial intellegence
• Understand the impact that real time data has on any Healthcare Information System
• Make clinical decisions based on Big Data

Who Should Attend!

• Those currently in a healthcare position, wanting to learn more about Information Systems and the role they play in healthcare.
• Those considering a career change and wanting to learn more about Healthcare Information systems.
• Those entering the healthcare industry and considering a career in Healthcare Information Systems
• The eternally curious

TAKE THIS COURSE