|The healthcare industry is now undergoing an emerging transformation as operations management principles and decision modeling are being rapidly deployed to improve clinical, operational, and financial outcomes. The Healthcare Management Analytics Laboratory course was offered at Booth for the first time in the Spring 2013 quarter. This lab course will focus on applying data-driven analytics and insights to identify and create healthcare delivery efficiencies. Student teams will work on improvement projects with real-world healthcare institutions. Thus, the course will teach students how to bring operations theory and analytics methods into practice, under the guidance of a faculty member.
Projects will be carefully scoped before the course begins so that students can make steady progress towards clear, attainable goals. The project topics will drive the backbone of content for the course, which will be supported using in-class time in various productive ways. While teams will focus on their individual projects, they will also come together to discuss and share content issues from their projects with one another. Not only will this aid the teams in conducting successful projects, it will also facilitate learning across projects so that by the end of the course students will have been exposed to a wide range of healthcare management analytics issues, potential solutions, and perspectives. Students will be responsible for assigned learning materials related to each project topic, such as case studies, methodological tools, etc. as appropriate depending on the projects’ intellectual support needs. The course structure will also include project relevant presentations from subject matter experts ranging from private industry executives to physicians who significantly contribute to healthcare decision-making. Teams will spend time, both in and out of class meeting individually with the faculty advisor, project management coach and teaching assistant(s).
The course is for students interested in leveraging the academic rigor of modeling to quantify decision making to improve healthcare delivery. It is an excellent course for those interested in careers in or related to the healthcare industry.