Dr. Waljee uses novel artificial intelligence / machine learning techniques to implement decision support systems and tools that facilitate more personalized care for disease management and healthcare utilization to ultimately deliver efficient, effective and equitable therapy for chronic diseases. To test and advance these general principles, he has built operational programs that are guiding—and improving—patient care in costly gastroenterology and liver disorders in low resource setting, including emerging countries.

His current global engagement involves developing educational programs in East Africa and Asia via Global REACH.

What drew you to MiCHAMP?

What attracted me is the diversity of people from many U-M schools who belong to the group. MiCHAMP is very unique. The broad expertise will allow us to harness new ideas and approaches to tackle health care issues.

What specific expertise do you bring to MiCHAMP?

The trend in medicine is to tailor treatment to the specific needs of the individual (precision care), but each individual has so much medical data. We need a more efficient way to use these data. I use computers and predictive models to provide better decision-making for tailored and individualized care, particularly for costly diseases and low resource settings.

*originally published 7/14/2017