

Under the guidance and supervision of professor Dan Adelman, a team of doctoral mentors, and teams of Booth MBA candidates learn to apply sophisticated quantitative analytical methods to improve healthcare delivery. The class culminates in presentations to executives at the sponsoring firms.
The course is an innovative application of action learning to the instruction of complex data analytics. The projects are varied in size and scope, reflecting the heterogeneity of the healthcare industry today. In past years, students have:
By necessity, students work with sensitive, proprietary data provided by project sponsors, which is often subject to HIPAA regulations. All course participants undergo HIPAA training prior to the beginning of class. All data cleaning, manipulation, and analysis is conducted on a secure, high-performance virtual machine maintained by Booth IT.
Course projects are carefully scoped so that students can make steady progress toward clear, attainable goals over the course of the 10-week winter quarter. Please note that this course will not be offered during the 2022-2023 academic year.
To learn more about the Healthcare Analytics Laboratory and to discuss opportunities to sponsor projects please contact ???????.
Get a sense of scope of HAL through this list of projects.
reach out for more details
Financial Analysis to Improve Patient Access for a Pediatric Care Network
Comer Children’s Hospital, University of Chicago Medicine
Strategic Capacity Planning and Optimal Patient Flows when Healthcare is Affordable for All
Advocate Health Care
Understanding the Behavior of Uninsurable Patients
Rush University Medical Center
A Strategic Analysis of Telehealth Services in the Wake of COVID-19
University of Chicago Medicine
Assessing a New Care Management Program for High-Risk Patients
Presence Health
Cost Effective Analysis of Human DNA Sequencing
Geisinger Health System
Assessing the Operational Impact of Keeping Surgical Teams Intact
University of Chicago Medicine
Optimal Staffing Levels of Medical Personnel in the Face of Census Variability.
University of Chicago Medicine
Physician Scheduling with Auctions: iBid for Hospitals
Loyola University Medical Center
Predicting the Impact of Team Experience on Surgical Performance
University of Chicago Medicine
Productivity Benchmarking and Incentive Design for Home Care Nurses.
Lifetime HomeCare
Using Performance Feedback to Improve Outcomes in the Emergency Department
University of Chicago Medicine
Assessing the Performance of a Chemotherapy Infusion Center
University of Chicago Medicine
Evaluating an Intervention to Reduce Heart Failure Readmissions
University of Chicago Medicine
Evaluating the Impact of a Care Management Program within an Accountable Care Organization
University of Chicago Medicine
Evaluating the Spillover Effects of a Trauma Center on Hospital Operations
University of Chicago Medicine
Evaluating the Impact of Early Detection and Remote Monitoring on Sepsis Mortality
Presence Health
Predicting Healthcare Outcomes from Increased Risk of Opioid Use and Chronic Pain
University of Chicago Medicine
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