Clinical Informatics

Clinical informatics is the applications of informatics principles and methods in the delivery healthcare services. This includes advanced electronic medical record (EMR) systems, computerized clinical decision support systems, wearable technology and mobile health (mHealth) applications, and reuse of EMR, study and molecular data for improving healthcare delivery. In Department of Biomedical Informatics, the focus is on development and application of artificial intelligence, computational and data science methods to advance clinical informatics. Two departmental centers provide training, staff, and resources. The Center for Clinical Research Informatics (CCRI) is focused on doing innovative research and healthcare delivery that is enabled by clinical, mobile health, molecular and research data.

Areas of research include

  • developing intelligent electronic medical record systems
  • developing AI-backed clinical decision support systems
  • personalized modeling for precision medicine that includes developing algorithms for predicting clinical outcomes and sub-phenotyping
  • providing explanations for predictions by statistical and machine learning models
  • approaches to close the Learning Health System loop

Opportunities for research are available at various stages of training

Knowledge and skills in the following areas are desired

  • Probability and statistics
  • Computer science and programming
  • Machine learning and data science
  • Experience with medical data (especially EMR data)


Shyam Visweswaran, MD, PhD
Director of Clinical Informatics, Department of Biomedical Informatics