ARTIFICIAL INTELLIGENCE HEALTH OUTCOMES AND BIOMEDICAL INFORMATICS
HOBI researchers are using AI and data science to transform the way we conduct health research, deliver care and stay healthy.
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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.
Our ai expertise
At HOBI, we're building the world-class infrastructure needed to support smart, data-driven research while safeguarding patient privacy. We're pioneering new uses for AI and data science to help health systems learn and improve, to address disparities and meet the healthcare needs of underserved populations, to deliver precision care tailored to patients' needs, and to improve health outcomes for individuals, families and communities. Our BMI team transforms real-world data into useful tools for health research. Our health researchers leverage the data with powerful AI tools to improve care delivery, health outcomes and health inequities.
Developing new AI and data science tools and methodologies for gathering, securing, storing, linking, cataloging, organizing and using health data in research and clinical care.
Expertise: Data analytics, security and privacy, software engineering, applied ontologies, biosurveillance, electronic health records, public health systems, decision theory, natural language processing, machine learning, data generation and harmonization, computable phenotypes
Using AI tools, technologies and data to improve health care quality, efficiency, delivery and outcomes for health systems, individuals, families and communities. Key areas of research focus include cancer, Alzheimer’s disease and dementia, and chronic pain.
Expertise: Data analytics, electronic health records, public health systems, decision theory, digital health (use of mobile phones, devices, smartwatches, activity trackers and other wireless technology in medical care and health contexts), social media, geomapping, learning health systems
key data infrastructure
This clinical research network and data warehouse unites scientists, clinicians, patients and stakeholders throughout Florida and in select metropolitan areas in Georgia and Alabama to address some of today’s biggest health challenges. The network’s 14 academic institutions and health systems provide care for about 74% of Floridians in all 67 counties, together with large, diverse populations in greater Atlanta and Birmingham, Alabama. The OneFlorida+ Data Trust contains data for more than 17 million individuals in Florida and the Southeast, creating a dynamic resource to facilitate health care research, disseminate research findings, and improve health, health care and health policy.
Supported by the UF CTSI, this secure, clinical data warehouse collects and organizes information from across UF Health’s clinical and research enterprises. The UF IDR houses more than 1 billion observational facts pertaining to more than 1 million patients, including all patients who presented with symptoms or were tested for COVID 19 since January 2020.
This natural language processing system, developed by UF Health and NVIDIA, extracts massive volumes of information from patient records with unprecedented speed and clarity, enabling researchers to quickly identify relevant patients for lifesaving clinical trials and other studies. It is also expected to accelerate the development of medical applications with improved predictive, preventive and intervention capabilities.
The FLRDC provides a secure research environment where researchers can analyze restricted data collected by the U.S. Census Bureau and other federal statistical agencies.
ai news and updates
Faculty in the department of health outcomes and biomedical informatics are at the forefront of building and leveraging artificial intelligence to improve health care. GatorTron, a biomedical, natural language processing system, was built in collaboration with HOBI researchers to improve disease and risk prediction, provide opportunities for personalized medicine and enhance overall health outcomes research.
An initiative to transform its curriculum and research with machine learning, powered by an AI supercomputer, provides a model for other universities.
The University of Florida recently turned on the eighth most powerful supercomputer in higher education and 22nd most powerful supercomputer in the…
UF Explore Magazine | Summer 2021
MALACHOWSKY HALL FOR DATA SCIENCE & INFORMATION TECHNOLOGY
In the spring of 2023, artificial intelligence and data science researchers from the UF Colleges of Medicine, Engineering and Pharmacy will move into the new state-of-the-art Malachowsky Hall for Data Science and Information Technology, including all HOBI faculty, staff and students. The 263,000-square-foot building will be located in the heart of UF's main campus and connect students and researchers from across disciplines by creating an interdisciplinary hub for advances in computing, communication and cyber-technologies.
UF’s AI Initiative
The University of Florida’s AI initiative will make UF a national leader in AI and have far-reaching impacts for the university and its students and faculty. Equally important, it will play a crucial role in the transformation of Florida’s economy into a diversified, technology-driven, high-wage economy. Anchored by a $70 million research and education partnership with NVIDIA, UF is building the most powerful supercomputer in higher education and has committed to hiring 100 new faculty dedicated to AI. UF’s powerful AI infrastructure will put researchers on the front lines of addressing some of the world’s most pressing challenges.