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602.701.93
Applied Concepts and Foundations of High Performance for Population Health

Discontinued

Location:
Beijing, China
Term:
1st term
Department:
Online Programs for Applied Learning
Credits:
3 credits
Academic Year:
2021 - 2022
Instruction Method:
TBD
Auditors Allowed:
No
Grading Restriction:
Letter Grade or Pass/Fail
Course Instructors:
Contact:
Cyrus Engineer
Resources:
Description:

Are you curious to learn what it takes to be a high performing organization ?

Are you keen to learn what leaders need to do to take an organization to the next level?

Would you like to know about established frameworks for performance excellence?

Provides students with an understanding of the core features, characteristics, values, culture, and systems that lead to high performance for population health. Introduces evidence-based approaches such as the Baldrige framework that allow organizations to address performance gaps and develop robust processes and a culture of continuous improvement and excellence to improve the health of populations. Utilizes a case study approach to share best practices within population health that lead to sustained high performance.

Learning Objectives:

Upon successfully completing this course, students will be able to:

  1. Identify major external forces and their role in shaping missions and managerial challenges
  2. Explain the basic concepts and foundations of high performing organizations
  3. Analyze the role of leadership in developing core values and concepts
  4. Perform a performance gap analysis using an evidence based framework
  5. Apply principles from an evidence based framework to improve organizational performance
  6. Create a performance management and improvement plan for their organization
Methods of Assessment:

This course is evaluated as follows:

  • 10% Participation
  • 10% Reflection
  • 50% Final Paper
  • 30% Two case studies, worth 15% each

Enrollment Restriction:

Restricted to students in the Tsinghua cohort

Instructor Consent:

Consent required for all students

Consent Note:

Students must be in the Tsinghua cohort to enroll.

For consent, contact:

cengine1@jhu.edu