Health Care Innovation
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Overview
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Syllabus
- Module 1
- This module was designed to give you a foundational knowledge of health care operations and methods of optimization. You’ll examine the provider-patient relationship and learn how a provider can improve performance measures for the patient by analyzing the different types of performance metrics such as patient-centric, operations, and financial measures. Through discussing the different types of inefficiencies such as waste, variability, and inflexibility, you’ll be able to optimize performance and service. You’ll also learn how to gauge patient flow by flow rate, flow time, and inventory, and be able to map processes using a flow diagram and a Gantt chart. By the end of this module, you’ll be better able to calculate the financial viability of a health care provider using Key Performance Indicators (KPI) and create a framework to assess and optimize performance.
- Module 2
- In this module, you’ll see how techniques in innovation that originally developed outside of health care can be deployed successfully in health care systems and organizations. Using your understanding of optimizing health care operations, you’ll be able to apply innovative techniques to a more traditional ecosystem of health care. You’ll learn how innovative researchers and clinicians changed some of the more grounded approaches to health care. Through analyzing the scientific method, you’ll be able to craft a hypothesis statement of your innovative idea and identify key assumptions in your statement to test first. By the end of this module, you’ll be able to successfully assess the value and plausibility of the hypothesis of your innovation, and effectively utilize successful instances of innovation to your health care practice.
- Module 3
- In this module, you’ll examine the practice of evaluation and how it is applied to health policy and programs. You’ll gain a better understanding of the need for evaluations in an ever-changing health care environment, and the importance of control groups to combat selection bias that may skew the findings of an evaluation. You’ll explore different methods to conducting an evaluation, the types of questions an evaluation aims to answer, and the difference between effectiveness and efficacy. By the end of this module, you’ll understand the theoretical framework behind an evaluation and be able to employ an evaluation to better analyze the effectiveness of your health care organization.
- Module 4
- This module was designed to highlight the importance of behavioral economics in health care practice and how to utilize behavioral economic theory to optimize the operations of your health care organization. You’ll explore Expected Utility Theory and the different types of Prospect theory such as Reference Dependence, Diminished Sensitivity, and Loss Aversion in the context of health care. By studying real-life examples of Default Bias and Increased Cost Sharing case studies, you’ll establish a framework for health care interventions that will be effective and successful after implementation. By the end of this module, you’ll be better able to determine the theoretical basis for certain health care practices such as nudge units and whether such practices would benefit your organization.
Taught by
Amol S. Navathe, Kevin Volpp, Christian Terwiesch, Roy Rosin and David A. Asch
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Reviews
4.3 rating, based on 3 reviews
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Anil Prajapati is taking this course right now, spending 4 hours a week on it and found the course difficulty to be very easy.
That was the amazing experiance with that the exam i am thankful to all the member of this institute for conduct like this online course for the student i want to say that to all the student you have to must join it for the knowledge as well as for your future learnimg -
Ojeola Tioluwanimi
3Ojeola Tioluwanimi completed this course and found the course difficulty to be medium.
This course was really enlightening. So much ideas to practice and many real life examples too! I'm glad I took it. -
Anonymous
Anonymous completed this course.
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