The Mount Sinai Clinical Intelligence Center (MSCIC) within The Charles Bronfman Institute for Personalized Medicine represents a diverse group of data scientists, engineers, clinical physicians, and researchers who joined together in the Spring of 2020 to commit their expertise to combat the Covid-19 pandemic in our community. Having arisen organically amidst tragedy, it is uniquely positioned to provide data analytic solutions beyond Covid-19 with the goal to translate and unify clinical data across the Mount Sinai Health System (MSHS) into actionable information to inform clinical care. MSCIC aims to harmonize various data streams across the MSHS, provide rapid insights from data, and deploy translational tools to improve clinical practice and ensure Mount Sinai is at the cutting edge of patient care.
Predictive Modeling & Clinical Care Applications
Multiscale Data Analytics
Collaborative Data Resources
Data Harmonization & Informatics Consult
In close collaboration with the MSHS Clinical Data Science team, MSCIC has employed predictive modeling using advanced statistical and machine learning methods to identify patterns in data. By incorporating these models into easy-to-use tools, MSCIC aims to enhance the provider experience to improve patient care.
Bringing together Mount Sinai’s top experts in next- and third-generation sequencing, immune profiling, and clinical pathology, MSCIC serves as a hub for innovation where new ways of combining data at scales once unimaginable are developed.
In partnership with the Mount Sinai Data Warehouse, HPI.MS, the MSHS Clinical Data Science Team, the Mount Sinai Data Ark, the Mount Sinai COVID-19 Biobank, BioMedical Engineering and Imaging Institute, Departments of Genetics and Genomic Sciences, Pathology, Radiology, and Cardiology, MSCIC maintains and operates a harmonized data-lake to enable unique clinical analytics capabilities.
MSCIC is focused on the deployment of predictive models from “bench to bedside” for real world use by clinicians throughout MSHS. In partnership with the MSHS Clinical Data Science team, MSCIC plans to deploy the Critical Informatics Consultation Service to derive rapid insights from harmonized data across the MSHS.
Utilizing its unique capabilities for data harmonization and predictive modeling, MSCIC and the MSHS Clinical Data Science (CDS) team developed a true “bench to bedside” tool to combine medical record information, risk factors and predictive model output into a centralized tool to provide rapid insights for clinicians treating COVID-19 patients. COVID360 provides a centralized view of COVID-19-specific patient data alongside visual representations of predictive models developed by Mount Sinai researchers to inform clinical care within Epic. With a focus on user-centered design, COVID360 was developed in close collaboration with design partners from Intuit as well as MSHS hospitalists and clinicians to ensure it was easy to use and interpret while treating critical patients in real-time. This product is the first to incorporate design thinking techniques and data science insights to assist clinicians as they focus on providing optimal patient care.
A critical factor in the success of COVD360 was the use of the rapid deployment pipeline developed by the CDS team. This pipeline brings predictive models from the research setting to the clinical operations setting in an organized and well-documented fashion, facilitating true translational research. COVID360 features an expanding array of predictive models including the probability of discharge, ICU admittance, requiring dialysis, and requiring mechanical ventilation, all of which will help clinicians assign resources appropriately.
To learn more about COVID360, reach out to email@example.com.
At the peak of the COVID-19 surge, a volunteer team of more than 100 research staff, nurses, doctors, and scientists assembled to collect blood samples from over 900 patients admitted to our hospitals. This invaluable collection of samples formed the foundation for the COVID-19 Biobank, a critical resource for the Mount Sinai research community. Led by MSCIC and the Human Immune Monitoring Center (HIMC), teams were organized for screening electronic medical records, obtaining informed consent, assembling collection kits, performing nurse outreach, transporting specimens, processing samples, biobanking, generating molecular data, analyzing bioinformatics, and managing the overall project. Over a one-month span at the peak of the pandemic, the team enrolled more than 700 patients, collected thousands of samples, and have since generated a diverse set of molecular data using state-of-the-art technologies in immunology and genomics. This effort formed a for implementing large-scale research on COVID-19 patients.
Warrior Watch Study
The Warrior Watch Study supports health care warriors throughout the Mount Sinai Health System in the battle against COVID-19. Led by Robert Hirten, MD and Zahi Fayad, PhD, the study draws upon the collaborative efforts of the Mount Sinai Clinical Intelligence Center (MSCIC) and is open to all employees in the health system. It uses a custom iPhone application to administer questionnaires and collects data from an Apple Watches worn by participants to better understand the psychological and physiological impacts of COVID-19. Through this unique digital platform, the project has two goals: to study and understand the impact that COVID-19 has on the psychological well-being of health care workers and how this stress can be relieved through mindfulness interventions, and to identify COVID-19 infections in our employees prior to the development of symptoms through changes in heart rate variability.
Those who are interested are encouraged to reach out to the study team by emailing firstname.lastname@example.org.