EXECUTIVE EDUCATION

Healthcare Analytics: AI, Big Data & Digital Transformation

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Course Dates

STARTS ON

June 30, 2021

Course Duration

DURATION

7 weeks, online
4-6 hours per week

Course Duration

Demystifying Healthcare Data to Enhance Patient Care

Healthcare data is projected to grow exponentially in the next few years, with a 10-fold increase expected by 2025, according to IDC. But collecting data is only part of the equation. Putting healthcare data to work requires leaders and managers with a solid understanding of the role of analytics in healthcare organizations and how to incorporate it into their day-to-day operations and decision-making.

This seven-week Healthcare Analytics: AI, Big Data & Digital Transformation online program will help you learn to ask the right questions to data analysts, build your analytics knowledge, make decisions, and create healthcare solutions using data. You’ll also learn to use data to drive cultural change in your organization to ensure you thrive in today's analytics-based economy.

What you'll get:

  • Increased healthcare data literacy that will enable you to effectively communicate with data analysts (to know how and what questions to ask), and to understand, incorporate, and build a healthcare analytics outlook into your organizations and teams.
  • The expertise to interpret data analyses results and make data-driven decisions for optimal outcomes in the healthcare industry. 
  • An understanding of the importance of the emerging roles of artificial intelligence in healthcare and its applications to improve your organizational processes and outcomes.

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Source: The Financial Times 2020

Program Curriculum

Each module is designed to help you craft the narrative for your organization’s data literacy by improving your own data fluency and gaining an understanding of the business value that quality data and expert analytics can create for your organization.

Module 1:

Data Basics

Explore the data generation process, how to categorize data, the different types of variables used with data, and the impact of data size and bias on data collection and analysis for the healthcare industry.

Module 2:

Dashboarding

Examine the impact of data distribution and the purpose of dashboards in monitoring Key Performance Indicators (KPIs) to manage organizational performance in healthcare settings.

Module 3:

AI and Healthcare

Understand the use and application of machine learning and artificial intelligence (AI) as a healthcare tool leveraged for predictions. Then build an AI canvas designed for your healthcare organization.

Module 4:

Regression

Learn the strategies for applying regression analysis to make predictions and estimate the effect and the knowledge to question analysts to best use regression analyses accurately for your healthcare organization.

Module 5:

Prescriptive Analysis: Scientific Thinking in Healthcare Management

Understand the critical elements of prescription, cause and effect analysis, and how prescriptive analysis is used in healthcare to find data-driven solutions to organizational problems.

Module 6:

Digital Healthcare and Data Analytics

Consider the impact of data analytics on healthcare organizational decisions and the role and cost of digital transformations in public healthcare.

Module 7:

Building a Data-Driven Healthcare Organization

Widen the view of data literacy to your entire workforce. Develop an organizational model for a question-driven approach to data analysis, understand privacy concerns with healthcare data, and formulate a strategy to build an evidence- and learning-based corporate culture.

Module 1:

Data Basics

Explore the data generation process, how to categorize data, the different types of variables used with data, and the impact of data size and bias on data collection and analysis for the healthcare industry.

Module 5:

Prescriptive Analysis: Scientific Thinking in Healthcare Management

Understand the critical elements of prescription, cause and effect analysis, and how prescriptive analysis is used in healthcare to find data-driven solutions to organizational problems.

Module 2:

Dashboarding

Examine the impact of data distribution and the purpose of dashboards in monitoring Key Performance Indicators (KPIs) to manage organizational performance in healthcare settings.

Module 6:

Digital Healthcare and Data Analytics

Consider the impact of data analytics on healthcare organizational decisions and the role and cost of digital transformations in public healthcare.

Module 3:

AI and Healthcare

Understand the use and application of machine learning and artificial intelligence (AI) as a healthcare tool leveraged for predictions. Then build an AI canvas designed for your healthcare organization.

Module 7:

Building a Data-Driven Healthcare Organization

Widen the view of data literacy to your entire workforce. Develop an organizational model for a question-driven approach to data analysis, understand privacy concerns with healthcare data, and formulate a strategy to build an evidence- and learning-based corporate culture.

Module 4:

Regression

Learn the strategies for applying regression analysis to make predictions and estimate the effect and the knowledge to question analysts to best use regression analyses accurately for your healthcare organization.

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Program Experience

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Try-it activities

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Peer discussion groups

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Quizzes

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Real-world application exercises

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Live webinar

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Open Q&A

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Knowledge checks

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Capstone project

Who Should Attend

This program is designed for business leaders, managers, and entrepreneurs who engage with data teams and want to have more meaningful conversations with them, integrating data into their decision-making in healthcare and their corporate culture. This program is particularly applicable for:

  • C-Suite Executives from the healthcare industry with access to a massive data stream who are seeking to implement analytics solutions in their unit, learn the language of data, and develop an analytics roadmap for their organization.
  • Mid- to Senior-Level Managers, such as general manager, corporate director, head of marketing, or head of strategy, seeking to garner insights from data and looking to gain a practical understanding of the applications of analytics to initiate new projects or launch new business ideas.
  • Healthcare Entrepreneurs or Consultants looking to set up an analytics team and understand the concepts and tools for business and clinical intelligence to improve their product/service offering.

Faculty

Profile picture of programme faculty, Avi Goldfarb

Avi Goldfarb

Rotman Chair in Artificial Intelligence and Healthcare, Professor of Marketing, Chief Data Scientist at the Creative Destruction Lab, Senior Editor at Marketing Science, Research Associate at the National Bureau of Economic Research

As Rotman Chair in Artificial Intelligence and Healthcare and Professor of Marketing at University of Toronto's Rotman School of Management, Avi Goldfarb's research focuses on the digital economy's opportunities and challenges. Along with Ajay Agrawal and Joshua Gans, Dr. Goldfarb is the author of The Globe and Mail bestselling book Prediction... More info

Certificate

Example image of certificate that will be awarded upon successful completion of the programme

Certificate

Upon successful completion of the program, you’ll earn a digital certificate of completion from the Rotman School of Management. This program counts toward a Rotman Excellence in Executive Leadership Certificate.

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Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of the Rotman School of Management.

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