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On September 3, the United States House Committee on Energy and Commerce Subcommittee on Health conducted a session on the pivotal topic of enhancing American health care via artificial intelligence.
Advocated by numerous organizations, including the American Medical Association, the application of AI in health care is regarded as one of the most significant advantages of this new technology. It is employed in manners that enhance patient health outcomes, ensure surgical accuracy, improve diagnostic precision, and much more.
Florida State University’s Zhe He, a faculty member in the College of Communication and Information and head of the Institute for Successful Longevity, recently conducted a study showcasing AI’s influence on diagnostic accuracy, personalized treatment strategies, interpreting medical imaging, optimizing processes, and facilitating remote patient monitoring among various successful initiatives.
His research dwells at the convergence of biomedical and health informatics, artificial intelligence, and extensive data analysis. He is a recognized fellow of the International Academy of Health Sciences Informatics (IAHSI) and the American Medical Informatics Association (AMIA).
“AI has already transformed health care in concrete ways,” he remarked on the revolutionary influence of this new technology. “We currently utilize AI to assess electronic health records, medical imagery, and even forecast differential diagnoses, mortality, and hospital readmissions. These instruments do not replace healthcare providers; rather, they amplify their reach and assist in minimizing diagnostic delays, personalizing therapies, and boosting overall efficiency. Critically, AI is also bridging gaps for rural communities by facilitating new frameworks for remote monitoring and telehealth services.”
Delaney La Rosa, a teaching professor at the College of Nursing, is an educator and academic authority whose contributions merge clinical practice, digital innovation, and equity-focused curriculum design. She has gained national recognition as a researcher and speaker concerning the ethical utilization of AI in nursing and education.
La Rosa specializes in health informatics, AI in healthcare, and the incorporation of AI into health education. She investigates how emerging technologies can be harmonized with human-centered, accessible methods in teaching and caregiving.
“AI is most significantly revolutionizing health care in the preventive domain,” La Rosa stated. “We are discovering when a patient is on the verge of decline or when sepsis may occur. We analyze data across diverse populations.”
“In rural primary care clinics, it’s evident that these regions face staffing shortages,” she continued. “These AI applications can process data from the entire patient population of a primary practice and, utilizing the training they underwent, can pinpoint patients who are most likely to develop health issues or those who stand to gain from preventive initiatives.”
Members of the media interested in exploring the various ways AI is advancing healthcare are encouraged to contact Zhe He at [email protected] and Delaney La Rosa at [email protected].
Zhe He, professor in the College of Communication and Information and director of the Institute for Successful Longevity
1. We’ve observed significant impacts already, but what additional areas in health care do you believe AI might alter in the future?
I perceive three main frontiers:
Engaging patients: Instruments that assist individuals in comprehending their lab results, medications, and care strategies can empower them to make better-informed decisions.
Management of aging and chronic diseases: With our aging demographic, AI can play a crucial role in foreseeing risks, assisting caregivers, and encouraging adherence to treatment.
Clinical research and pharmaceutical development: AI is expediting trial recruitment, fine-tuning study designs, and revealing new therapeutic targets. In the coming decade, I anticipate these areas will be revolutionized much like radiology has been over the last decade.
2. In what way has AI influenced your work?
My research centers on making health information more accessible and actionable through informatics and AI. For instance, my team is creating LabGenie, a GenAI-driven system that assists older adults and caregivers in interpreting lab results and formulating tailored inquiries for their healthcare providers. We are also developing systems based on AI to enhance adherence to cognitive training, aid post-transplant care, and devise strategies for HIV prevention and management for young adults. Throughout all this work, AI serves not as an end goal but as a means to enhance patient engagement, treatment adherence, and consensus decision-making.
Delaney La Rosa, teaching professor, College of Nursing
1. What types of advancements has the College of Nursing made in its substantial investment in AI?
From my viewpoint, the most significant contribution we are making in AI is twofold: First, we are at the forefront nationally. We have pioneered a degree in health care AI for our students. There is a massive wave of change underway—we must swiftly learn how to utilize AI and subsequently teach our students to do so ethically, which is another pressing issue, and prepare them for the workforce. Beyond our degree program, we are on the verge of launching a microcredential consisting of six courses for a certificate program titled Nursing Essentials of Responsible AI. We are also initiating our postgraduate certificate. We’re leading the nation in outputs. We’re creating workforce-ready graduates.
The second aspect is that we are spearheading an AI consortium and hosting our inaugural launch summit in Orlando on September 17 – the Nursing and AI Innovation Consortium Launch Summit. This means we have leaders across various sectors—research, practice, higher education—coming together, and we’ll convene to determine the future direction of AI.
2. How vital is your role in the field of AI education?
I believe the most crucial aspect for me is our essential foundational course. This course provides a solid grounding in aspects that are unlikely to change significantly in AI. It forms a foundational understanding so we can comprehend the terminology. Nurses excel at evaluating data and information to ascertain its quality and scientific validity. However, you cannot achieve that in AI without a foundational understanding of how it operates.
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