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Intro to Analytics in Healthcare, Plain & Simple
Rating: 4.7 out of 5(1,030 ratings)
4,081 students

Intro to Analytics in Healthcare, Plain & Simple

A journey from simple data to machines that can help us accurately predict outcomes and formulate actionable insights.
Created byThomas Giordano
Last updated 5/2026
English
Chinese (Simplified) [Auto],

What you'll learn

  • The basics of analytics.
  • The power of analytics in significantly improving our understanding, prediction and treatment of disease.
  • The different types of analytics and what they mean to the future of healthcare

Course content

3 sections • 9 lectures • 55m total length

  • Introduction2:00

    Explore advanced analytics in health care, from descriptive, diagnostic, predictive, to prescriptive insights, and see how clinical decision support and data-driven methods guide planning, prognosis, and disease prevention.

  • Overview of Analytics11:48
  • Descriptive Analytics11:27

    Explore descriptive analytics and the balanced scorecard as a four-perspective framework for healthcare. Learn to monitor patient experience, financial health, internal processes, and innovation to balance care quality with sustainability.

  • Diagnostic Analytics12:34

    Explore diagnostic analytics to explain why events happen and design a decision support tool that recommends the most appropriate medical imaging, guided by clinical appropriateness criteria, radiation dose, and cost.

  • Predictive Analytics4:38

    Predictive analytics forecast future healthcare outcomes by integrating electronic health records, genomic data, real-time data, and social determinants of health to guide decisions.

  • Prescriptive Analytics6:43

    Explore prescriptive analytics and distinguish it from predictive analytics by balancing big data with ethnography and personas to optimize health care decisions.

  • Wrapup5:53

    Reframe health analytics by starting with a clinical question, redesigning processes with decision support, and using a data warehouse to enable descriptive, diagnostic, predictive, and prescriptive insights.

Requirements

  • There are no course requirements or prerequisites. This course is a foundation course.

Description

There is no shortage of data in healthcare.  There is data from our Electronic Healthcare Records, all our mobile devices, pharmacies,  lab results, genomics (DNA), and environmental data to name only a few.  There IS a shortage of "Insights" that we gather from all this data, from which we can make intelligent decisions on care and treatment.  Generation of actionable insights from this large volume of data often requires the use of sophisticated algorithms and computing devices to pull together disparate data in a way that produces true "Information".

This class takes us through that journey from data ... to information ... to predicting and changing future care,  in a simple and understandable format.   

The topics covered in this "Advanced Analytics in Healthcare" course are:

  • What is Basic Analytics?

  • What is Advanced Analytics

  • Descriptive Analytics

  • Diagnostic Analytics

  • Predictive Analytics

  • Prescriptive Analytics

  • The Challenges of Advanced Analytics

The basic concepts  behind Healthcare Information Systems are often presented in a very complex, difficult to understand style. This "PLAIN AND SIMPLE" series on Healthcare Information Systems is different. It strives to introduce the basic concepts of information technology and systems in a very simple and easy to understand format using many examples from both non-healthcare and healthcare environments. This course is targeted at the entry level (Basic and Intermediate Level) learner.

The content of the series is based on the author's 35 years experience in the healthcare information systems business. This experience spans product design and launch, marketing, business development and executive management (including president). In addition, it is based on 15 years teaching at the graduate level in the University environment.

Who this course is for:

  • 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

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