Welcome to FSU eHealth Lab!

eHealth, the use of information and communication technologies (ICT) in healthcare, is increasingly becoming a societal and research-driven topic. eHealth and health informatics projects are multidisciplinary and often involve informaticians, statisticians, computer scientists, ICT developers, patients, and medical specialists. FSU eHealth Lab is hosted in School of Information (iSchool). Our overarching goal is to improve population health and advance biomedical research through the collection, analysis, and application of electronic health data from heterogeneous sources.

Our research spans across the multiple sub-fields of Biomedical and Health Informatics:

  • Clinical Research Informatics
  • Consumer Health Informatics
  • Knowledge Representation and Biomedical Ontologies
  • Biomedical Natural Language Processing, Machine Learning, and Data Mining
Research Overview

Research at the eHealth lab focuses on a variety of health informatics topics focusing on two core themes: how to design and implement different eHealth tools to promote health education, support patient self-management and enhance healthcare delivery how to improve healthcare; (2) and how to find ways to improve health care with the use of big health data. We are using user-centered and participatory approaches to better understand the health information and support needs of various stakeholders in the healthcare field (i.e., including patients and clinicians) to inform the design of health informatics systems that can better support collaborative medical decision making and engage patients in their healthcare. We are developing and evaluating a variety of novel data-driven methods (i.e., machine and deep learning) to develop AI-powered, tailored health delivery platforms and tools as well as to mine useful health data from clinical systems )(e.g., EHRs). These innovative approaches are also being used to promote the meaningful use of health information from a variety of sources (e.g., electronic health data in clinical trial registries, public patient databases, and clinical data warehouses) to predict health outcomes, recruit patients for clinical trial participation, etc. We are also using both qualitative and quantitative methods to understand the barriers for clinical trial participation.

The research from eHealth lab has been broadly published in mainstream venues in biomedical and health informatics, including Journal of Biomedical Informatics, Artificial Intelligence in Medicine, Journal of Medical Internet Research, BMC Medical Informatics and Decision Making, AMIA Annual Symposium, and MEDINFO. Our papers have won prestigious awards in AMIA 2017 (Distinguished Paper Award), AMIA 2015 (Distinguished Paper Award), and iConference 2016 (Most Interesting Preliminary Results Paper Runner Up).

Our research has been supported by Eli Lilly and Company, National Institutes of Health, Amazon, NVIDIA, FSU Council on Research and Creativity, and Institute for Successful Longevity. We greatly appreciate these funding supports!