Medical Decision Making
Developing mathematical models capturing disease progression/prognosis, and optimizing decisions facilitating diagnosis and treatment of individual patients or a population for clinical decision support or policy making purposes.ÌýÌý
Radiation therapy treatment planning
Learning from large-scale historical treatments
Automating plan quality assessment
Colorectal cancer screening
COVID-19 testing
MRSA surveillance
Pulmonary Fibrosis follow-upÌýÌýÌý
Predicting prognosis and selecting interventions
ALS management
Organ transplantation
Health System Operations
Analyzing patient pathways, work flow, and operation loads in health institutions (e.g., hospitals, clinics, emergency units) using quantitative and analytical methods in order to improve/optimize efficiency and effectiveness of healthcare operations
Optimizing door-to-needle time for stroke patients
Optimizing capacity management decisions in remote regions
Hospital operation analyses via process miningÌý
Multi-priority MRI patient scheduling
Nurse scheduling
Surgical block and operating room scheduling
Blood products inventory management Ìý
Healthcare Delivery
Optimizing strategic-level decisions that affect the delivery of healthcare resources to the broader community such as screening services and immunization policies
Vaccine distribution
Testing for infection controlÌý
Vaccines
Cancer drugs
medical equipment’s (e.g., catheters)Ìý