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Course Catalog

312.604.93 Quantitative Tools for Managers

Department:
Health Policy and Management
Term:
Winter Inst. term
Credits:
3 credits
Academic Year:
2017 - 2018
Location:
Beijing, China
Dates:
Sun 01/07/2018 - Tue 01/09/2018
Class Times:
  • M Tu Su,  8:30am - 5:00pm
Auditors Allowed:
No
Grading Restriction:
Letter Grade or Pass/Fail
Contact:
Judith Holzer
Frequency Schedule:
One Year Only
Resources:
Prerequisite:

Intermediate level of Excel competence

Description:

Examines how information processing power can be applied to increase quality and decrease cost in healthcare. Emphasizes the importance of understanding analytics as a healthcare manager. Focuses on five themes related to managing a healthcare organization: finance, quality, market, operations, and utilization. Reviews theories such as data formats, database structures, and analysis methods. Explains how data is collected, prepared, and applied to make a positive impact. Real world examples provided during each session so that students can use the lecture materials to solve problems. Develops future healthcare leaders who can understand the details as well as think critically beyond the data.

Learning Objectives:

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

  1. Utilize financial, market, quality, operational, and utilization data to apply in decision making
  2. Define the various data needs within healthcare and how data impacts decision making and accountability
  3. Identify the appropriate analytical tools for financial, market, quality, operational, and utilization analysis, and evaluate the analytic methods used by other students and provide feedback for improvement
  4. Explain how the application of quantitative tools and methods influences the quality and efficiency of decision making
  5. Combine various datasets in an integrated approach to demonstrate the impact on the overall organization
  6. Develop and present recommendations based on findings from hospital-based case study
Methods of Assessment:

Pre-course short paper on current topics in health analytics 10%; In-class exercises 20%, Homework 30%, Final Project 30%, Attendance 10%

Enrollment Restriction:

Part-time DrPH students in the Tsinghua cohort only

Instructor Consent:

Consent required for all students

Consent Note:

enrollment restricted to students in the Tsinghua DrPH cohort only

For consent, contact:

judith.holzer@jhu.edu

Jointly Offered With:
Special Comments:

For MAC users, a parallel software that can run Windows-based programs is required. This course will be offered over a 3-day period in Beijing China. Students are required to complete assignments prior to the start of class.