All of Us is a federal research initiative to collect patient data from one million people in the U.S.
Architecture for Research Computing in Health (ARCH) matches Weill Cornell Medical College investigators with tools and services for obtaining electronic patient data.
The OMOP Common Data Model, maintained by the OHDSI Consortium, is a practical way for researchers and IT staff from different institutions across the world to model EHR and claims data in one format to support research activities.
Biobank informatics supports workflows for sample handling and annotation of biospecimens as well as data integration with clinical and research information systems.
Informatics for Integrating Biology and the Bedside (i2b2) enables researchers to query de-identified data from electronic health record (EHR) and research systems of WCM to discover cohorts of patients preparatory to research.
For patients who have provided consent to be contacted for research, investigators with IRB approval can reach out directly to patients meeting study criteria.
WCM's collaborative initiative to process, store, and track biospecimens gathered for COVID-19 research.
The COVID Institutional Data Repository contains all electronic health record data and research biospecimens collected for patients tested for SARS-CoV-2 at WCM.
The catalog allows researchers to make their own datasets discoverable to others at WCM, and allows researchers to identify biomedical or health data that are not readily accessible elsewhere.
Clinical research often necessitates the use of sensitive patient data. WCM researchers can ensure compliance with data privacy regulations through a consultation service.
WCM investigators can capture informed consent from participants in clinical research using a secure electronic platform.
REDCap is an electronic data capture tool that enables investigators to build case report forms that support prospective studies and retrospective chart reviews.
EHR systems provide a platform for implementing new clinical interventions developed from analysis of previously captured EHR data and evaluating effects using prospectively collected EHR data.
Investigators can request inpatient electronic health record data via DISCOVERY/TRAC and outpatient data via Physician Organization Information Services.
To support grant applications, text describing WCM electronic patient data resources is available. Additionally, a number of publications have described the use and development of WCM infrastructure to support the research enterprise.
ITS can provide infrastructure and management for high performance computing needs, including specialized setups.
INSIGHT integrates EHR data from six health systems in NYC to support clinical research.
By combining electronic patient data across institutions, investigators may increase the completeness and comprehensiveness of clinical data and improve clinical trial accrual and comparative effectiveness research.
N3C is an NIH-led effort to acquire, harmonize, and make available patient-level COVID-19 data from participating sites to enable innovative machine learning and statistical analysis.
While the EHR stores a massive amount of patient data, much of this critical information exists only as free text mentions in progress notes and pathology/imaging reports. Using NLP, investigators can unlock the power of this data to support research.
The NCATS Accrual to Clinical Trials (ACT) Network is an NIH-led effort to allows investigators to query EHR data from nearly all CTSA hubs nationwide to determine counts of eligible patients for clinical trials.
Survey solutions for research studies and administrative data collection.
The Wood Library provides a variety of tools and services for reporting on publications and helping administrators with assessment of scholarly impact.
Research data repositories (RDRs) enable investigators to aggregate and transform data from multiple systems into a single secure resource customized to their needs.
TriNetX is a global research data network with data from thousands of health care providers.
VIVO is an NIH-funded researcher networking tool.
Data Core is a secure, scalable computing and storage environment within which users can share access to a collection of data sets and process the data with a variety of software tools, while meeting appropriate regulatory requirements to protect data.