Health Informatics

Current Grants

National Infrastructure for Standardized and Portable EHR Phenotyping Algorithms
Jyotishman Pathak, PhD, PI (in collaboration with Dr. Denny, Vanderbilt University, Dr. Thompson, Northwestern University, and Dr. Jiang, Mayo Institute)
National Institutes of Health (NIH)
6/3/2013 – 3/31/2017
The goal of this project is to collaborate with several members from the NHGRI funded eMERGE consortia and leverage the tools and technologies to develop novel methods for standardization of electronic health records drive phenotyping algorithms.

Modeling Social Behavior for Healthcare Utilization in Depression
Jyotishman Pathak, PhD, PI (in collaboration with Dr. Sheth, Wright State University)
National Institutes of Health (NIH)
7/1/2015 – 6/30/2019
The goal is to study community-based depression across the United States using electronic health records and social media data.

Big Data Coursework for Computational Medicine
Jyotishman Pathak, PhD, PI (in collaboration with Dr. Chute, Johns Hopkins University and Dr. Neuhauser, University of Minnesota)
National Institutes of Health (NIH)
9/29/2014 – 7/31/2017
The goal of this NIH Big Data-to-Knowledge (BD2K) post-doctoral training grant is to provide short-term training and hands-on practicum training in utilization of biomedical big data.

Informatics Tools for Pharmacogenomic Discovery using Electronic Health Record Data
Jyotishman Pathak, PhD, Sub-Award PI (in collaboration with Dr. Denny, Vanderbilt University)
National Institutes of Health (NIH)
7/1/2015 – 6/30/2019
The goal of this project is to study the role of genetic variants for drug efficacy and toxicity using longitudinal electronic medical records across multiple academic medical centers using the i2b2 informatics infrastructure.

Understanding the Bidirectional Relationship between Depression and Heart Failure
Jyotishman Pathak, PhD, Sub-Award PI (in collaboration with Dr. Bobo, Mayo Clinic)
Agency for Healthcare Research and Quality (AHRQ)
6/1/2014 – 6/30/2016
The goal of this project is to study the bidirectional association between incident heart failure and major depressive disorder, and investigate patient outcomes.

An Information Fusion Approach to Longitudinal Health Records (R01)
Stephen Johnson, PhD, Sub-Award PI (In collaboration with Dr. Lai, PI, Ohio State University)
National Institutes of Health (NIH)
9/1/2012 – 8/31/2016
The goal of this study is to accelerate the recruitment of patients into clinical trials using an innovative longitudinal health record in which information is conceptually integrated and temporally organized.

Clinical Science Translational Award (CTSA) (UL1)
Stephen Johnson, PhD, Curtis Cole, MD, Co-Investigators (In collaboration with Dr. Julianne Imperato-McGinley, PI, WCMC Department of Medicine)
National Institutes of Health (NIH)
6/1/2011 – 5/31/2017
The mission of the diverse trans-institutional, multi-disciplinary Clinical and Translational Science Center (CTSC) is to move translational research seamlessly from bench to bedside and to the community. The CTSC acts as a conduit through which essential resources, technological tools and education programs for all partners can be efficiently shared and managed.

RENYC. Rare Epilepsies in New York City: Epidemiology and Health Outcomes
Zachary Grinspan, MD, PI, Stephen Johnson, PhD
Centers for Disease Control (CDC)
9/30/2015 -9/29/2018
Rare epilepsies are a devastating group of diseases that begin in childhood, and are often associated with profound neurologic, medical, and psychiatric disabilities. We propose to collect electronic physician notes from five academic medical centers in New York City to identify cases in order to understand the essential epidemiology of this vulnerable and medically complex population (incidence, prevalence, mortality, comorbidity burden, and use of health services). Using new methods for surveillance, we will develop and characterize an easy-to-share tool to find rare epilepsies through an automated search of clinical notes.

Improving Healthcare Quality with User-Centered Patient Portals (K01)
Jessica S. Ancker, MPH, PhD, PI; Rainu Kaushal, MD, MPH, Mentor
Agency for Healthcare Research and Quality (K01)
9/1/2013 – 8/31/2018
This K award funds a research program of qualitative and quantitative studies of patient use of medical information, along with additional advanced training in human factors engineering and health services research methods.

Novel Techniques for Patient Centric Disease MGMT Using Automatically Inferred Behavioral Biomarkers & Sensor Supported Contextual Self Report
Deborah Estrin, PhD, PI (Cornell Tech); Daniel Stein, MD, PhD, Sub-Award PI; Jessica S. Ancker, MPH, PhD, Co-Investigator
National Science Foundation
12/1/2013 – 11/30/2017
Mobile technology has created unprecedented opportunities for detailed and personalized data collection in a granular and unobtrusive way. The research is developing novel generalizable techniques to derive robust measures relevant to individual health and clinical decision making. The team is developing and evaluating tools that convert raw activity data into clinically actionable behavioral biomarkers.

New York City Clinical Data Research Network
Rainu Kaushal, MD, MPH, PI, Jyotishman Pathak, PhD, Stephen Johnson, PhD
Patient-Centered Outcomes Research Institute
10/1/2015 – 09/30/2018
Developing a network of clinical data shared by all the major academic medical centers in NY to facilitate case finding and clinical research.

Recent Grants

Evaluation of the Healthcare Efficiency and Affordability Law for New Yorkers Capital Grant Program (HEAL NY) – Phase 10
Rainu Kaushal, MD, MPH, PI; Erika Abramson, MD, MS, Investigator; Lisa M. Kern, MD, M.P.H., Investigator; Joshua Richardson, PhD, Investigator; Thomas Campion, PhD, Investigator; Jessica S. Ancker, MPH, PhD, Investigator
New York State Department of Health
1/1/2010 – 12/31/2013
This series of studies assesses the impact of Phase 10 of the HEAL 5 initiative, which consists of efforts to: 1) promote transformation of primary care through implementation of the “medical home” model in 9 communities, and 2) advance the development of the statewide health information network. We are evaluating the effects of these interventions on health care quality and cost.

A Model Integrated Data Management System for Multidisciplinary Autism Research
Stephen Johnson, PhD, Sub-Award PI (In collaboration with Prometheus Research, Limited)
U.S. Department of Health and Human Services
12/13/12 – 11/30/13
The overarching aim of the proposed project is to empower autism investigators to (1) make more effective use of data locally and (2) more efficiently exchange data with the scientific community. This will be achieved by delivering an open-source integrated data management platform for interdisciplinary autism research programs.

Timely Training of Workers Competent to Support EHR Deployment and Meaningful Use
Jessica S. Ancker, M.P.H., PhD, co-PI; Rainu Kaushal, MD, M.P.H., co-PI
Office of the National Coordinator for Health Information Technology (ONC)
4/2/2010 – 6/30/2013
The goal of this training grant is to develop and offer a certificate program in health information technology to rapidly train people to support implementation and use of electronic health records. The program will be developed in collaboration with the Columbia University Department of Biomedical Informatics.


  • Division Office
  • 425 East 61st Street, Suite 301
    New York, NY 10065
    (646) 962-9409
Center for Healthcare Informatics and Policy (CHiP)

Selected Publications

  • Weill Cornell Master's Program in
    Health Informatics Featured in
    U.S. News and World Report
Top of page