On October 24th, 2025, members of The Prescriptive Jurist team, along with Aerolib Healthcare Solutions LLC, traveled to Austin, Texas to present their topic — “Harnessing AI for Rural Hospitals: Advancing Healthcare Access and Equity” — at the Texas Primary Care Consortium Summit.
There, the team (Akshita Arora, Anish Arora, Mehul Pahuja, and Nishi Pahuja) focused on diagnostics and decision support, the psychological and community trust of AI, infrastructure and technology barriers, the challenges faced by rural hospitals, and the legal components of AI. The presenters dove into how AI could help rural healthcare systems by assisting medical professionals and increasing efficiency in underserved areas. In addition, their presentation included opinions on the ethical use, regulations, and technical implications of AI usage.
Mehul Pahuja, a junior in high school, discussed how AI can be used in the early detection of heart problems or diabetic retinopathy. Tools like Microsoft’s DAX Copilot support clinical decisions made by healthcare professionals. Additionally, mHealth tools aid in remote care delivery along with emergency situation assistance. Mehul also developed an online, voice-activated emergency support database that offers immediate medical guidance to those who need it and displayed it the audience at the Summit.
Akshita Arora, a senior at Stony Brook University majoring in Psychology and Marketing, focused on the importance of trust in all hospitals regarding AI use. Throughout her presentation, she mentioned IBM Watson’s failure at the University of Texas’ MD Anderson Cancer Center due to a lack of trust and the successful adoption of AI at Cleveland Clinic and Ambience Healthcare. She introduced several strategies to build trust and communication and referred to Texas A&M Health’s techniques that have already been implemented.
Anish Arora, a senior in high school, addressed the infrastructure constraints faced by rural populations. The Rural Health Fund Bill has also designated parts of the budget towards building technology in rural healthcare systems. He also talked about how on-site AI can analyze local data and how federated learning can train private, cross-institution AI through TEFCA and QHINs. Anish also created a Hospital ROI Calculator to determine the economic benefits of AI in healthcare facilities and accounts for several variables.
Nishi Pahuja, a senior in high school, discussed the challenges faced by rural hospitals, such as a lack of staff, credentialing issues, and heavy administrative loads. Project Echo and Microsoft’s DAX Copilot, previously mentioned by Mehul, are two systems that offer solutions to analyzing large amounts of data. Remote patient monitoring, or RPM, can also implement AI through wearable technology devices that are incredibly useful for patients that live far away from medical centers in rural areas. In addition, TRAIGA and Senate Bill 1188 are both pieces of legislation that place restrictions on AI use. Two examples of systems that help deal with legal and ethical issues include Protenus, which finds mistakes in radiology procedures, and Aidoc, which tracks who observes patient data to ensure hospitals remain HIPAA compliant. The Joint Commission and Coalition for Health AI (CHAI) also recently partnered to establish guidelines for AI usage and released their first resource in September of 2025.
Through their presentation, members of The Prescriptive Jurist team, along with Aerolib Healthcare Solutions, provided audiences at the TPCC with a comprehensive review on current AI practices in rural healthcare settings. To find out more about the team’s presentation at the TPCC, click here!
