The Montefiore-Einstein Center for Health Data Innovations (CHDI) is a multi-disciplinary ICTR program led by Parsa Mirhaji MD, PhD that bridges Montefiore’s learning health system to identify, prioritize, and promote research and informatics development integrated with clinical practice. CHDI’s education and training programs are based on research collaboration, patient engagement, and opportunities for trainees to participate in research that interfaces with health care. Einstein medical students, Montefiore residents, junior faculty, and MSTP students are being mentored in projects related to health informatics and advanced analytics. Their projects are integrated with clinical programs on preventable hospital readmissions, precision health care, and improving the patient experience. The 8 current trainees are using technologies that include Natural Language Processing, Artificial Intelligence and Machine Learning, Clinical Image Processing, computerized Clinical Decision Support, Deep Phenotyping, Computer Reasoning, Information Integration and Networked Research. Some of these CHDI trainees are pictured here. If you wish to learn more, contact Jeannette.Lindquist@einstein.yu.edu From top left:

Keneta McKellar and Michio Taya,  Deep Phenotyping Diabetes using EHR Data 

Dinesh Rai, Deep Learning and Neural Networks for Image Processing in Ophthalmological triage

James Brogan, Blockchain Technology in patient identity resolution  

Michoel Snow MD, PhD, Hierarchical Temporal Memory and Cortical Learning in ER utilization  

Kundan Guha, Persistent Similarity algorithm, based on Graph Theory and Case Based Reasoning

Dr. Julia Arnsten received an award as PI for the  Empire Clinical Research Investigator Program (ECRIP) center program at Montefiore. Dr. Arnsten is Professor of Medicine and Division Chief, General Internal Medicine, and directs the ECRIP center program with Dr. Paul Marantz, Associate Dean for Clinical Research Education, and Paul Meissner MSPH, Departments of Family and Social Medicine and Obstetrics & Gynecology and Women's Health. This ECRIP award funds the Montefiore Einstein Center for Comparative Effectiveness Research to improve patient-centered outcomes in urban, multi-ethnic, underserved populations. Dr. Meredith Hawkins, Professor of Medicine (Endocrinology) and Co-Director of the Einstein Diabetes Research Center also received ECRIP awards to build research capacity and train researchers in diabetes at Montefiore/New Rochelle and at Jacobi. To learn more about the ECRIP awards, click here. 

The NIH has designated opioid misuse and addiction as an evolving public health crisis, affecting millions of Americans with an opioid use disorder and those that suffer from chronic pain. The NIH has created a public-private collaborative research initiative on opioid abuse and pain to address the crisis in three areas for advancement: new and innovative medications and biologics to treat addiction and overdose prevention and reversal, safe, effective, and non-additive strategies to manage chronic pain, and neurobiology of chronic pain. To learn more about this initiative and stay up to date on outcomes and updates, click here.  

A new feature has been made available through eRA Commons to help applicants create and fill out training data tables for institutional training grant applications (T32, TL1, T90/R90 and T15) and update RPPRs (progress reports). xTRACT is a module that is available to all institutions and uses data from the NIH database to populate tables with names, grant numbers, institutions, and more. To learn about xTRACT and try it for your next training grant application, click here. 

The ICTR invites faculty members to request seed grants to generate data for the development of new extramural grant applications in the following two areas: 

- Outcomes research and implementation science (health data and informatics, and scientific and health system feasibility)

- Life span research and studies in special populations (multidisciplinary team science projects including pediatrics, geriatrics, obstetrics, and population health)

Seed grants require funds being expended by April 30th 2018. For more information and to apply, click here.