Led by Dr. Devin Mann, the Healthcare Innovation Bridging Research, Informatics, and Design (HiBRID) Lab works independently as well as collaboratively with research and operational teams across NYU Langone to improve digital systems that aid healthcare delivery and research. We help create health applications, electronic health record (EHR) enhancements, and clinical decision support tools.
Our Research Methods
HiBRID Lab combines research, informatics, and design to build, implement, and disseminate new digital tools that can improve the delivery and experience of healthcare. Our projects leverage novel user-centered, iterative design methods, machine learning, and usability testing simulations to build tools that seek to change patient and provider behaviors.
Digital Health Delivery and Grant-Funded Work
In collaboration with the Department of Population Health’s Division of Biostatistics and sponsored by the National Institutes of Health, our team is researching how to integrate behavioral economics approaches into EHR systems to prompt providers to follow Choosing Wisely® guidelines when treating older adults with diabetes. We are also developing smarter clinical decision support tools using predictive analytics, integrating a digital diabetes prevention program into the EHR system, and designing user-centered clinical decision support tools to reduce inappropriate prescribing of antibiotics.
HiBRID Lab is also teaming up with the Huntsman Cancer Institute (HCI) at the University of Utah to provide HCI with digital health technology support. Our role involves identifying and streamlining access to genetic counseling services for people from minority racial and ethnic groups and those living in rural areas. This work is funded through a prestigious grant from the National Cancer Institute’s Cancer Moonshot initiative.
Our team is involved in implementing digital innovations throughout the NYU Langone system.
HiBRID Lab, in collaboration with the Predictive Analytics Unit, is examining a novel method to reduce provider alert fatigue using machine learning to improve adoption of best practice alerts for vaccine prescription.
We provide expertise in user-centered design and design thinking to research teams throughout NYU Langone looking to build useful, useable digital tools. For example, we worked with a research team to build a user-centered decision support tool as part of an intervention aimed at preventing stomach cancer in Chinese American immigrants. As part of a grant-funded project, our team supported the user-centered adaptation of a clinical decision support intervention to help emergency department clinicians build their palliative care skills.
Our lab focuses on an essential component of the health care continuum—post-acute care—that is commonly utilized in heart failure patients, but for which there is lack of evidence to inform best practices for the transition back home. The goal of our work is to 1) characterize skilled nursing facility (SNF) to home discharge process quality and 2) understand the manner in which frailty and cognitive impairment may affect readmission and mortality after SNF to home discharge. This will inform best practices for this transition to improve longitudinal outcomes for patients with heart failure.
We are looking for student researchers to volunteer with our lab during the summer/semester (or entire school year). Students will have the opportunity to collaborate with our unique interdisciplinary research group that currently manages a portfolio of seven federally sponsored grants and multiple enterprise digital innovation initiatives. Students should be independent, motivated workers with curiosity for healthcare systems. We expect an average of 5-10 hours per week spent on research in the main lab or one of the research sites. Students will have the opportunity to gain research experience relevant to graduate school/medical school, earn letters of recommendation, and develop research skills.
- Assisting with recruitment
- Screening and enrollment of research participants
- Study communications, regulatory documentation and IRB submissions, data collection, data entry, database management
- Literature searches
- Assisting in manuscript preparation, assisting in abstract and grant preparation
- Performing other related duties necessary to the functioning of multiple research projects
Check with your Internship Coordinator BEFORE accepting to determine how you might do this internship for credit.
Background on Projects:
Digital Diabetes Prevention Integration Tool (dDPP)
This project seeks to set the standard for how data from new digital behavior change interventions are integrated into the EHR and clinical workflow. The project leverages a National Institutes of Health (NIH)–funded prototype integration tool with the goal of conducting a large-scale hybrid effectiveness and implementation study. Ongoing activities include piloting of the new tool within the NYU Langone ambulatory primary care network and partnering with digital health companies to determine best practices.
Effects of Nurse-Driven Integrated Clinical Prediction Tool on Antibiotic Prescribing (iCPR3)
This study evaluates the effects of a novel integrated clinical decision prediction tool, iCPR3, on antibiotic prescription patterns of nurses for acute respiratory infections (ARIs). The intervention is an EHR-integrated risk calculator and order set to help guide appropriate, evidence-based antibiotic prescriptions for patients presenting with ARI symptoms.