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

The research in the eHealth Lab is centered around a core question: “How can we find ways to improve healthcare with the use of big health data?” We have been developing novel data-driven methods mine useful information from the electronic health data in clinical trial registries, public patient databases, and clinical data warehouses. We are using machine learning and deep learning to predict health outcomes such as mortality and readmission for patients with cardiovascular diseases. We are also using both qualitative and quantitative methods to understand the barriers for clinical trial participation. We are developing methods to assess and bridge the vocabulary gap between health information consumers and health professionals to better engage patients in their healthcare.

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!