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.
together, we are unstoppable
UF is leading the way by harnessing the power of artificial intelligence (AI) to solve some of the world’s most formidable challenges. Our students, faculty and staff are driving growth across the state.
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:
FAMILY, COMMUNITY AND HEALTH SYSTEM SCIENCE
Raga Bjarnadottir, PhD, MPH
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.
FAMILY, COMMUNITY AND HEALTH SYSTEM SCIENCE
Jane M. Carrington, PhD, RN, FAAN, FAMIA
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.
FAMILY, COMMUNITY AND HEALTH SYSTEM SCIENCE
Hwayoung Cho, PhD, RN
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.
FAMILY, COMMUNITY AND HEALTH SYSTEM SCIENCE
Gail Keenan, PhD, RN, FAAN
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.
FAMILY, COMMUNITY AND HEALTH SYSTEM SCIENCE
Tamara Macieira, PhD, RN
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.
FAMILY, COMMUNITY AND HEALTH SYSTEM SCIENCE
Anna McDaniel, PhD, RN, FAAN
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).
FAMILY, COMMUNITY AND HEALTH SYSTEM SCIENCE
Lisiane Pruinelli, PhD, MS, RN, FAMIA
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.
Biobehavioral nursing science
Qinglin Pei, PhD
Pei’s research interests include clinical trials design & analysis, survival analysis, machine learning and Bayesian methodology.
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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
Health care delivery
AI-enhanced health care decision-making and precision health.
Biomedical discovery
AI-fueled development of novel diagnostics and therapeutics.
Public and population health
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:
