CHIDS Leads AI/ML Training Efforts in a $50M NIH Award

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.

Speaking to Students, Gao Outlines the Power of AI in Healthcare

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.

How Privilege and Politics Are Affecting Disparity in Vaccine Rates

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.  

How Our Need To Reciprocate Could Be The Key To Getting Healthy

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.

CHITA 2020: How to Better Manage the Pandemics and Speed Up AI Adoption in Healthcare

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

Maryland Smith CHIDS, C-BERC Receive NIJ Grant To Explore Physician Fraud Roots

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.

Smith Analytics Consortium Explores Future of Work

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.”

CHIDS Study Reveals How Personality Affects Gamified Diabetes Self-Management

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.

Bridging the Rural-Urban Healthcare Divide

SMITH BRAIN TRUST — Online communities are helping patients find and share information and connect with each other at unprecedented levels. But can they also create social value by helping to bridge the disparities between rural and urban health care?

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