Professional AssociationsProfessional Associations: American Academy of Pediatrics | American Medical Informatics Association | American Medical Informatics Association | AMIA | Health Informatics Society of Australia | Health Level Seven (HL7) International | Society of Women Engineers
Vibha Anand, PhD is a Research Scientist in the Center for Computational Health at IBM Thomas J. Watson Research Center, Cambridge, MA.
Vibha's current research focuses on applying data mining and machine learning techniques to draw novel insights from health datasets, especially from prior observational studies, clinical trials, electronic medical record, and real-time biosensors.
Her prior work also focused on health services research, especially in the area of Pediatric medicine. From this past work, she co-developed a real-time clinical decision support system (CDSS), The Child Health Improvement through Computer Automation (CHICA) system with Indiana University physician scientists and community pediatricians. CHICA has been in continous use since 2005 at Indiana University Hospitals and was later commercialized in 2017. Until then, it had been used in several NIH funded observational studies and clinical trials to study interventions in pediatric and adolescent conditions such as ADHD, Type 2 Diabetes, maternal depression. CHICA is often cited as the most studied pediatric CDSS in use.
Before IBM Research, Vibha was an Assistant Professor at the Lerner School of Medicine of Case Western Reserve University and held a Staff scientist position at Cleveland Clinic, Cleveland, Ohio and prior to it as Assistant Professor in the Department of Pediatrics at Indiana University School of Medicine, Indianapolis, Indiana. Vibha also possesses several years of technology development experience from working in leadership roles in data, software and telecommunications industries prior to academia.
Vibha holds a Bachelors in Electrical and Electronics Engineering from Motilal Nehru National Institute of Technology, India, a Masters in Computer Science from University of New Haven, CT and PhD in Health Informatics from Indiana University, IN. She is a Fellow of the American Medical Informatics Association (FAMIA) inaugural class, 2018.