Using AI To Free Physicians From Paperwork

On most days, clinicians finish seeing patients by early afternoon. Their work, however, often goes long into the evening.

"They might start at 6 a.m., see patients until noon, and then spend the rest of the day catching up on documentation," said University of Miami College of Engineering doctoral student Yusif Gurbanli. "That's the problem we wanted to solve."

Gurbanli is one of four founders behind AIdMD Technologies, a Miami-based startup led by CEO Vagif Kazimli, a biomedical engineering alumnus of the University, developing artificial intelligence tools aimed at reducing the administrative burden in health care. The work is rooted in Kazimli's experience seeing how much time physicians spend navigating records.

Bringing together expertise across engineering, computer science, and medicine, the team set out to design a system that could meaningfully reduce that burden. Gurbanli studies mechanical engineering with a focus on AI applications in biomechanics. Kazimli is now an M.D.-M.B.A. student at the Miller School of Medicine with an interest in neurosurgery and said the idea for the company took shape during his clinical rotations.

"You see how much information is buried in patient charts and how difficult it is to find what matters quickly," Kazimli said. "There's incredible technology available, but health care hasn't fully integrated it yet."

The team's platform is designed to summarize patient records, assist with documentation, optimize billing capture, and flag potential concerns such as medication conflicts or gaps in care, while keeping physicians in control of final decisions. Rather than requiring hospitals to replace existing systems, the software can also integrate with them. The platform is intended to support both clinical care and practice sustainability by helping identify missed reimbursement opportunities

The company is already live with its first clinical users in Florida and is expanding deployments while continuing to refine the platform and gather feedback from physicians. Behind the scenes, much of the technical work is led by the rest of the team. Yunus Kazimli, a computer science graduate of the College of Arts and Sciences, oversees software development, while Hamza Shah, a doctoral student in machine learning at the University, focuses on refining the AI systems that analyze patient data.

But the project is about more than improving efficiency in clinical settings.

"One doctor told us, 'If you give me an hour of my evenings back, I'll switch,'" Gurbanli said. "Hearing that made it real. This isn't just software, it's more time with family."

Kazimli also sees potential for the technology beyond the United States. After volunteering on a medical mission in Kenya, and reflecting on his upbringing in Azerbaijan, he began thinking about how digital tools could support physicians in regions where resources and staffing are limited.

"If technology can help doctors here, it can help doctors anywhere," he said.

The company is already exploring international expansion opportunities, including nationwide integration discussions in Azerbaijan, as part of its broader goal of scaling across health systems globally.

The startup has received early funding, mentorship, and validation through the University's USTAAR program and the MIT Innovation Fund, and is preparing for an additional funding round as it moves toward broader adoption.

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