Healthcare is in the midst of an AI-driven transformation, but a lot of work is needed to realize AI’s potential work in real world settings while simultaneously minimizing undesirable outcomes. From March 4-5, 2022, over 100 researchers attended the 12th annual Conference on Health IT and Analytics (CHITA) in Washington D.C., hosted by the Center for Health Information and Decision Systems (CHIDS) at the University of Maryland's Robert H. Smith School of Business. 

Experts in machine learning and artificial intelligence (AI) in health care, health equity, and related emerging innovation areas will gather Friday and Saturday, March 4-5, 2022, for the 12th Annual Conference on Health IT and Analytics (CHITA) at the Darcy Hotel in Washington, D.C.

The Center for Health Information and Decision Systems (CHIDS) at the University of Maryland’s Robert H. Smith School of Business was selected as a key contributor in a $50 million grant from the National Institutes of Health (NIH) in a new effort to enhance diversity in artificial intelligence and machine learning research and initiatives. NIH’s Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) program was created to get more diverse researchers and underrepresented communities involved in the development of AI/ML models to address health disparities and inequities. CHIDS will steer the AI leadership training for healthcare professionals in the Data Science Training Core of AIM-AHEAD.

When we think about AI, we don’t normally picture it evaluating telehealth calls or monitoring patients after surgery. But those are some of the ways that artificial intelligence is transforming healthcare, says Maryland Smith’s Gordon Gao.

Income, educational attainment and political ideology all play into racial disparities in vaccination rates that have left African Americans more vulnerable to COVID-19, Maryland Smith researchers found. In a study published this week in the Proceedings of the National Academy of Sciences, they write that “structural inequities pose a serious threat to progress” in the push for nationwide vaccination.  

A groundbreaking study from Maryland Smith’s Center for Health Information and Decisions Systems is the first to examine how reciprocity could be used as a motivator to influence behaviors.

Data is Key: How to Better Manage the Pandemics and Speed Up AI Adoption in Healthcare

Physician Fraud Is a Big Problem. Big Data May Have Big Solutions. Healthcare is big business in the United States, accounting for roughly 20% of its overall GDP. And big businesses inevitably become vulnerable to fraud in a big way.

Smart machines do many things better than humans, but Deloitte executive Bill Eggers has good news for workers worried about a robot apocalypse. “This very dystopian narrative that we see, there’s no evidence for it historically,” he said March 29, 2019, at the third annual Smith Analytics Consortium thought leadership conference at the University of Maryland’s Robert H. Smith School of Business. “In every other period of technological revolution, we’ve created more jobs than we’ve lost.”

Research from the Center for Health Information and Decisions Systems (CHIDS) at the University of Maryland’s Robert H. Smith School of Business gives new insight into how personality differences might explain why mobile health apps help some diabetes patients more than others.