ai | eMPOWERING THE FUTURE OF NURSING THE COLLEGE OF NURSING HAS IN-DEPTH KNOWLEDGE AND EXPERIENCE IN CAPTURING, TRANSFORMING AND ANALYZING STRUCTURED AND UNSTRUCTURED NURSING AND PATIENT DATA FROM EHR’S. RESEARCHERS ALSO HAVE VALUABLE KNOWLEDGE AND EXPERIENCE IN HOW NATIONAL DATA NETWORKS CAN BE LEVERAGED TO INCREASE THE DATA PERTINENT TO NURSING SCIENCE AND AI APPLICATIONS.
ai experts in the uf college of nursing
The UF College of Nursing continues to lead in nursing informatics research through the innovative and interdisciplinary research of seven esteemed nursing scientists:
Bjarnadottir’s research focuses on leveraging health informatics and data science to improve health care quality for underserved populations. In her current research, Bjarnadottir uses text-mining methods to identify factors associated with risk of patient falls in acute care nurses’ progress notes.
Carrington’s research focuses on nurse to nurse communication of a clinical event or change in patient condition using the electronic health record. She uses techniques in qualitative research and natural language processing to analyze nurse to nurse communication and decision-making associated with a clinical event.
Cho’s research has focused on using technology for underserved populations in order to reduce health disparities, promote health outcomes and improve health-related quality of life. Her research work focuses on translating existing health information into informatics tools such as mobile health interventions to facilitate the implementation and dissemination of evidence-based health information for underserved communities, specifically racial and ethnic minorities and those from low-socioeconomic groups who face barriers to accessing health information.
Keenan is an international leader in nursing informatics whose work has helped improve electronic communications among health care teams. Her research program focuses on continuously refining a “big picture” standardized clinical data set to provide a summary of patient care, support day-to-day communication between members of the care team and universalize electronic health records.
Macieira is an expert in nursing informatics, standardized terminologies and data science, with experience in applying machine learning methods in research on aging, mainly the impact of nursing care on patient outcomes for cognitively impaired older adults. Throughout her career, she has examined the impact of nursing care on patient outcomes for populations with life-limiting chronic conditions (e.g., older adults, critically ill inpatients) through the analysis of nursing data retrieved from electronic health records (EHRs) from diverse health settings.
Dean of the UF College of Nursing, McDaniel’s research has been characterized by the innovative use of information technology to enhance decision-making by clinicians and to promote positive health behaviors in consumers. Her history of funded research focuses on cancer control, from prevention (tobacco prevention and cessation) through survivorship (symptom management).
Pruinelli is a nursing informatician with more than 10 years of clinical experience in multi-transplant organ coordination and information systems development and implementation. She applies machine learning methods to longitudinal heterogeneous clinical data to investigate the trajectory of complex disease conditions and health outcomes. Her work aims to identify problems and target interventions toward better patient outcomes.
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ai across the curriculum
BOLDLY FUELING THE FOURTH INDUSTRIAL REVOLUTION
Artificial intelligence is more than just the next wave of high-tech. It is transforming nearly every sector of the economy. Using AI to analyze massive amounts of data has dramatically affected communications, accounting, finance, transportation, medicine, agriculture, and more.
The University of Florida is making artificial intelligence the centerpiece of a major, long-term initiative that is combining world-class research infrastructure, cutting-edge research, and a transformational approach to curriculum. Its depth is making the university a leader in AI research and development; its breadth will make sure every UF student develops a basic competency in AI regardless of their field of study.
AREAS OF FOCUS
AI-enhanced health care decision-making and precision health.
AI-fueled development of novel diagnostics and therapeutics.
AI-powered modeling and surveillance of health determinants.
moving ai forward
The College of Nursing is poised to advance AI initiatives by strengthening the following areas:
ai careers at uf
The academic colleges of UF Health are recruiting faculty who can harness artificial intelligence to improve health and health equity, while training students to lead tomorrow’s AI workforce.