2025 Senior Data Fellows
The Senior Data Fellows come from a diverse range of colleges across campus, serving as ambassadors who integrate data into every aspect of the university for faculty, staff, and students. With their support, BDAIC takes an interdisciplinary approach to advancing data and AI education, engagement, and support throughout Belmont University.
Jamie Adam, College of Nursing
Jamie Adam serves as a Professor of Nursing and a Senior Data Fellow at Belmont University. Her work centers on Belmont’s long-term partnership in Guatemala through CoffeeMed, a healthcare initiative that organizes medical teams and volunteers to provide free medical care, education, and ongoing support to coffee-growing communities in and around Antigua, Guatemala. Jamie’s role involves structuring and analyzing the health data collected during these trips—examining patient demographics, common conditions, and outcomes to better understand community health needs and inform future interventions. By combining academic research with hands-on care, she helps build sustainable systems that improve follow-up and long-term health outcomes.“I see AI making its biggest impact by helping us turn raw health data into actionable insights more quickly and accurately. Tools like AI-assisted data analysis and visualization can reveal patterns in chronic conditions, medication access, and preventative care needs that might otherwise be missed. This will allow us not only to improve the effectiveness of our medical mission teams but also to support Guatemalan providers with evidence-based, community-driven solutions. In short, AI has the potential to move our work from episodic care toward lasting, data-informed health transformation.”
Dr. Steven Busby, Gordon E. Inman College of Nursing
Steve Busby brings valuable expertise and consultation to BDAIC in qualitative research, supporting projects both at Belmont University and around the world. He is currently consulting on multiple initiatives, including two based in Indonesia. In addition to his research contributions, Steve plays a key role in guiding the thoughtful and ethical integration of artificial intelligence into qualitative research, helping to shape a future where technology enhances insight without compromising integrity. Where do you see AI making the biggest impact moving forward?
“I think the impact of AI will be a potential large time-saving for researchers. Qualitative research data collection and analysis are very time-consuming when done correctly. AI may provide greater speed, but that must be balanced with a very keen eye on the part of the researcher, as subtle meanings and nuances can be missed when the human element is removed. The balance will be critical”.
