See what courses are being offered at the University of Chicago to provide in-depth understanding and real-world application of healthcare delivery science:
Instructor: Laura Botwinick and Andrew Davis
Oct. 6th- Nov 17th; Tuesday 5:00pm-6:30pm
Faculty, staff, and students/trainees at the University of Chicago Medical Center are welcome to audit the course at no charge and should contact Kelsey Bogue at email@example.com to register. To earn 025 credits, please enroll in the course through my.uchicago.edu.
This course provides an overview of concepts and methodologies for improving the quality and safety of care. Participants will design quality improvement projects using skills learned in class. In addition, UCM leaders will speak on key topics throughout the course. This course will provide an overview of the practical skills and knowledge necessary to assess and improve quality of care, as well as key concepts relating to the Science of Improvement. Important literature in the area of quality improvement and patient safety will be covered. The course will also address the importance of the system within which improvement activities are being implemented, including organization culture and leadership. The health policy and regulatory context for QI will also be covered.
- Participants will become familiar with tools for improving quality of care and service delivery, such as the Model for Improvement and Lean Performance Improvement.
- Participants will design an actual quality improvement project using skills learned in the class.
- Participants will understand the factors impacting the delivery of safe and high quality care in health care organizations such as teamwork, good communication and organization culture.
- Participants will understand “Systems Thinking” and other key concepts in patient safety such as Human Factors, Reliability and Health Equity.
- To understand the growing role of data analytics in providing high quality health care
- Participants will understand the key role of QI in today’s health care environment as a mechanism for improving organizational effectiveness and the patient experience.
Instructor: Dan Adelman Time: Fall 2020
BUS 36106 and/0r 41100 strongly recommended; BUS 40000 or equivalent recommended
The healthcare industry is now undergoing a transformation as data analysis is being rapidly deployed to improve clinical, operational, and financial outcomes. The Healthcare Analytics Laboratory will focus on applying data-driven analytics and insights to identify and create healthcare delivery efficiencies. Student teams will work on real-world improvement projects with prominent healthcare institutions. The course is for students interested in leveraging the academic rigor of data and decision analysis to improve healthcare delivery. It is an excellent course for those interested in careers in or related to the healthcare industry, and business analytics more broadly.
- Apply and reinforce tools and frameworks developed elsewhere in the Booth curriculum;
- Develop leadership skills and build effectiveness in teams;
- Learn a healthcare context deeply through an intensive project experience;
- Develop proficiency at presenting data analyses to executive audiences;
- Impact real-world healthcare delivery.
Instructor: Dan Adelman
Winter 2020: Section 40205-01 TH 2:00pm-5:00pm Location: Booth 455 (NBC Tower) Room 130
Winter 2020 Section:40205-81 M TH 6:00pm-9:00pm Location: Booth 455 (NBC Tower) Room 130
This class is designed for students who want to create new things, question rules, find better ways of doing things, develop their creative muscles, and lead productive change within established organizations. Designed as an experiential, skills-based class, this course will arm you with tactical tools that are critical for identifying and executing on innovation opportunities. Although the emphasis is placed on developing personal skills for leading innovation, we will also explore the structural and cultural challenges that large organizations face when executing breakthrough innovation or making a major change, and various models for addressing these barriers. In this class, innovation is defined broadly not only to include new products and services, but also new business or revenue models, changes in go-to-market approach, operational innovations, or any other step-change initiative.
This class is designed to make you a more creative and ambidextrous thinker and to arm you with a toolkit for leading innovation and growth in the context of high risk, nebulous, and highly uncertain innovation initiatives. We will cover the foundational principles of user-centered design and prototyping through the context of solving business problems broadly, however traditional product development tools and frameworks are not the primary focus of the class.
Specific learning outcomes of this course include becoming:
- A stronger innovation practitioner
- A more effective manager of innovation (ability to manage the process and connect the right people/recourses/thinking to make things happen)
- A more inspirational leader of innovation (greater ability to think creatively, teach others, and inspire others)
Instructor: Lindsey Lyman
Winter 2020: Section 34108-01 M 1:30pm-4:30pm Location: Harper Center Lecture Hall C06
Winter 2020 Section: 34108-81 M 6:00pm-9:00pm Location: Booth 455 (NBC Tower)
Winter 2020 Section: 34108-85 S 9:00am-12:00pm Location: Booth 455 (NBC Tower)
One of the today’s most exciting and important applications of Business Analytics is Healthcare, thanks to the rise of Data Science and the Patient Protection and Affordable Care Act. Every day, more data on provider performance is becoming available to consumers to help them make better informed decisions about their healthcare. Hospital revenues are being driven more and more by clinical results through incentive programs for improving hospital readmissions, patient safety, costs, and patient outcomes. At the same time, population health is improving as Big Data is being used to learn what treatments are most effective at an unprecedented pace and scale. These forces are transforming the healthcare industry and public health.
This class is designed for students who want a hands-on learning experience focused on how data analytics drives the business of healthcare. The course combines lecture and discussion; students will work with large, real-world healthcare datasets. Students will use state-of-the-art commercial software tools in learning the underlying logic and calculations of value-based hospital reimbursement, outcomes measurement, and benchmarking, working directly with patient-level claims datasets from CMS (Centers for Medicare and Medicaid Services) and elsewhere. By the end of the course, students will be prepared to conduct and/or participate in a real-world data analysis project at a healthcare institution or a consultancy.
You may register for this course after applying for the Graduate Student At Large: Business (GSALB) program through the Graham School for Continuing Liberal and Professional Studies. UCM and BSD staff (including residents and fellows) are eligible for a 50% tuition remission from the $7,200 price. Faculty are not eligible for this tuition remission.
This course provides an overview of core healthcare delivery science subject matter including definitions of HDS components, program planning and evaluation, pre-implementation, implementation, post-implementation sustainability, and more. The objectives are for students to gain a deeper understanding of needs and risk assessment, intervention design and development, particularly using user-centered methods, and implementation of interventions into healthcare delivery systems, using cutting-edge conceptual frameworks and methods.
Any students outside of the MScBMI program that wish to enroll must be associated with a University program: Graduate Student at Large (GSAL), Returning Scholar (RS), or enrolled in other Graduate level degree programs at the University.
Any faculty or staff member who is not a current UChicago graduate student is suggested to apply to the GSAL program. From the GSAL website, final application for the Spring quarter is March 13:
Once accepted into GSAL and the MScBMI course you are interested in is identified:
- Student submits request to firstname.lastname@example.org with background information and justification for the request
- Program staff reviews request and space in the class, as priority is given to MScBMI students
- Program reviews request with course instructor who has final approval
- Student may not be notified until the week before the start of the quarter
- Enrollment may be managed by the program the student is associated with, i.e. GSAL program staff would enroll student in the MScBMI course