QM 722QH
Provider Operation Analytics
Pranab Majumder
Description from DukeHub
This course focuses on understanding and improving business processes through data analysis. Modern technology has changed the way that organizations collect the data generated in these processes and utilize that data to make effective decisions. This course is a prescriptive analytics course that focuses on improving processes in health care organizations to better utilize limited resources and increase patient satisfaction. The course starts with a study of major causes of congestion and wait times in hospitals and clinics and strategies to reduce them through effective scheduling and resource allocation. The second module then focuses on managing inventory of drugs and medical supplies. The third module concerns process quality, with a goal of maintaining high and consistent quality of care to patients. The course is expected to include topics such as capacity planning, scheduling, queueing analysis, inventory analysis, and lean and six-sigma program implementation. This course is for MSQM: Health Analytics students.
Skills
- data and statisticsdescription: "data analysis" and 2 more
- clinicaldescription: "patient" and 2 more
AI-resilient: 2 of 5
- No: Physical, lab or field work
- Yes: Live work with people · "patient"
- Yes: Judgment someone is accountable for · "decisions"
- No: A craft you practice with your hands or body
- No: Small, in-person format
The checks lean on Microsoft Research, Working with AI (2025), which found generative AI applies least to physical work and hands-on work with people. A signal, not a promise. How the score works
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