Institute for Innovations in Medical Education Grants
The Institute for Innovations in Medical Education oversees grants for the study of advances in health professions education.
Our faculty includes principal investigators or collaborators on all three of NYU Grossman School of Medicine’s major education consortium grants: the American Medical Association’s Accelerating Change in Medical Education, the Association of American Medical Colleges’ Core Entrustable Professional Activities for Entering Residency, and Josiah Macy Jr. Foundation’s Consortium of Accelerated Medical Pathway Programs.
Our faculty and staff have also published manuscripts in major education journals, presented at national conferences, and chaired national committees.
Transition to Residency Advantage Program
NYU Grossman School of Medicine is one of eight institutions to receive a grant through the American Medical Association's (AMA) Reimagining Residency Initiative. Building on the work of the AMA’s Accelerating Change in Medical Education Consortium, the new 5-year, $15 million grant program aims to transform residency to meet the workforce needs of America’s current and future healthcare system. Learn more about the Transition to Residency Advantage Program.
Precision Education Data Coordinating Center
With support from the American Medical Association (AMA) Accelerating Change in Medical Education (ACE) program, the Institute for Innovations in Medical Education created the AMA-NYU Precision Education Data Coordinating Center to maintain an education data warehouse and provide analytics services to assist ACE leadership and consortium investigators in their medical education research questions. Governed by ACE leadership, the AMA-NYU Precision Education Data Coordinating Center incorporates AMA masterfile data from 32 consortium schools, practicing physician data from the Centers for Medicare and Medicaid Services, and multiple other data links. Learn more about the Precision Education Data Coordinating Center.
Development and Validation of a Machine Learning Model for Automated Workplace-Based Assessment of Resident Clinical Reasoning Documentation
This two-year project, funded through the Stemmler Fund, aims to develop and validate a machine learning model for automated workplace-based assessment of clinical reasoning documentation. Learn more about Development and Validation of a Machine Learning Model.
The following is a selection of our past grant-funded projects.
Health Care by the Numbers
Our Health Care by the Numbers project aimed to create a flexible, individualized, technology-enabled curriculum to improve care coordination and quality. The basis of the curriculum consisted of a panel of virtual patients derived from deidentified data from NYU Langone’s physician network practices and state hospitals. Students immersed themselves in big data—large, complex data sets—in a realistic clinical setting and created eportfolios for tracking their developing competence. Students can continue to use the virtual patient panel after they graduate, in support of a lifelong learning framework for analyzing their own patient data. Health Care by the Numbers was funded by the American Medical Association’s Accelerating Change in Medical Education initiative.
An Adaptive Tutor for Improving Visual Diagnosis
Our Adaptive Tutor for Improving Visual Diagnosis project, funded by the U.S. Department of Defense, focused on optimizing the way visual diagnosis is learned by creating a library of 80,000 consecutive electrocardiograms, or ECGs. The ECGs were categorized and calibrated using advanced informatics techniques, including natural language processing, to develop a generalizable method of presenting visual diagnosis cases in their original quantity and sequence to ensure efficient and effective learning. Target learners in the study included a wide range of healthcare professionals including physicians, nurses, and paramedics.
Learning Analytics and Medical Images
In our Learning Analytics and Medical Images study, researchers analyzed how learners interact with medical images and videos within multimedia educational modules.
Funded by MedU, a compendium of online educational programs, the project was designed to develop detailed data models for MedU using clinical media, especially in the context of the cognitive processes involved when learners use media in a simulated clinical context. The second aim was to demonstrate that the data model can improve learning for MedU students.
Interprofessional Education with NYU3T: Teaching, Technology, Teamwork
NYU Grossman School of Medicine and NYU Rory Meyers College of Nursing collaborated on a four-year project to support the development of interprofessional education. This project, called NYU3T: Teaching, Technology, Teamwork, aimed to develop competency in team-based care for medical and nursing students.
By fostering collaborative learning, this technology-enhanced, interprofessional curriculum prepared a large and diverse group of healthcare learners. It was funded by the Josiah Macy Jr. Foundation and combined web-based educational tools to provide learners with a longitudinal panel of virtual ambulatory patients.
Psychosocial Aspects of Bioterrorism: Education for Readiness and Response
Funded by the Centers for Disease Control and Prevention and the Association of American Medical Colleges, this project allowed researchers to develop, implement, and evaluate a continuing education program for physicians and other health professionals. It addressed the need for training in bioterrorism response, including patient care, self- and colleague care, and the physician as community leader, especially in risk communication.
Randomized Trial of Educational Outcomes of Web Initiative in Surgical Education
In this study funded by the National Library of Medicine, researchers conducted a two-year, three-armed, randomized, controlled trial that evaluated the impact of Web Initiative in Surgical Education Modules, or WISE-MD, on cognitive and affective outcomes in new medical students at seven U.S. schools of medicine. Adina Kalet, MD, MPH, was the principal investigator, and the project number was 1R01LM009538-01A1.
Exploiting the Edge: A Web-Based Content Management and Delivery System to Enable Rigorous Assessment of the Impact of a Rich Media Educational Intervention on Clinical Competence
In collaboration with the computer science department at NYU’s Courant Institute of Mathematical Sciences, this investigation funded by the National Science Foundation aimed to develop new tools and assessments for multimedia teaching applications. It also proposed to build a technical infrastructure for the global distribution of content. Robert Grimm, PhD, was the principal investigator, and the project number was IIS-0537252.
Integrated Advanced Information Management Systems
NYU Grossman School of Medicine’s Integrated Advanced Information Management Systems aimed to develop a team-based and patient-centered educational culture and extend our existing digital library program components to maximize interoperability and integration.
The project, funded by the National Library of Medicine, also sought to develop a plan for continuous assessment that ensured the appropriateness of the tools and content and demonstrated this learning system’s impact on the NYU Grossman School of Medicine community. The principal investigator was Richard Levin, MD, and the project number was G08 LM008806-01.
Physical Computing for Students and Teachers
Funded by the National Science Foundation’s Information Technology Experiences for Students and Teachers program, this project implemented a curriculum in physical computing with a group of underserved high school students in New York City. The principal investigator was Bonnie Brownstein, and the project number was ESI-0525171.