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Biomedical Informatics Projects

  • AIVIS: Next Generation Vigilant Information Seeking Artificial Intelligence-based Clinical Decision Support for Sepsis
  • All of Us Research Project (CAPMC and C2C): The ojbective of these two research projects (Part 1 and Part 2) is to speed up health research breakthroughs by creating a national research cohort (named the All of Us Research Program) of one million or more U.S. participants. 
  • BECKON: With the wide adoption of electronic health record systems, cross-institutional genomic medicine predictive modeling is becoming increasingly important, and have the potential to enable generalizable models to accelerate research and facilitate quality improvement initiatives.
  • bioCADDIE​: The NIH Commons needs an organized index of digital objects and bioCADDIE is a U24 resource grant to help build such a data index.
  • California Integrated Vital Records Registration System (Cal-IVRS): A platform designed, developed, and implemented for the California Department of Public Health (CDPH) through a contract with UC San Dieg
  • CAST - Center for Admixture Science and Technology
  • COVID-19 Data Index collects and indexes all types of COVID-19 datasets from major data repositories, publications, and individual online sources.
  • DECENTRALIZED: An advanced framework that combines rigorous privacy protection and encryption techniques to facilitate healthcare data sharing in the cloud environment.
  • Enhanced Metadata Design, Architecture, and Learning (MeDAL) for Development of Generalizable Deep Learning-based Predictive Analytics from Electronic Health Records
  • GeneRAlizable Sepsis Phenotyping (GRASP) using Electronic Health Records and Continuous Monitoring Sensors
  • iAGREE: A Multi-Center, Networded Patient Consent Study.
  • iCONCUR: A system to elicit patient preferences for clinical data sharing that takes into account what data is going to be shared and who is going to be the recipient of shared data.
  • iDASH
  • KONQUER: Knowledge Open Network Queries for Research.
  • Maryland Electronic Vital Records Registration System (MDEVRRS)A system that enables birth data reporting to occur in near real-time. 
  • Post-Handoff Reports of Outcomes (PHAROS): Using the capabilities of the electronic health record to create personalized summaries.
  • Progress Privacy-preserving genome data analysis.
  • Protect Privacy of Healthcare Data in the Cloud: An advanced framework that combines rigorous privacy protection and encryption techniques to facilitate healthcare data sharing in the cloud environment.
  • Protection of Records: Privacy Technology for Medical Research PREP, NLM: Developing methods for privacy protection that can adapt to the amount of the data being disseminated and the sensitivity of certain variables.
  • pSCANNER A stakeholder-governed federated network whose mission is to make health data more accessible and usable for the generation of scientific evidence that patients, clinicians, and other stakeholders together use to make more informed health decisions.  
  • RADx-Rad Discoveries & Data: Consortium Coordination Center Program Organization (RADx-rad DCC): RADx-rad DCC interfaces with other RADx-rad programs and other RADx COVID-19 focused programs at NIH to ensure alignment of awardees, NIH and the public in the pursuit of effective, affordable, and deployable new technologies for testing.
  • Rapid Response Data Discovery (R2D2) for COVID-19 Clinical Consultations: A rapid deployment of a cross-institutional, EHR-based data warehouse that is capable of responding to complex cross-institutional queries to inform COVID-19 clinical management.
  • SURENET:  Driving improvements in care and reducing the number of pulmonary nodules with loss to follow up.
  • Strong Heart Study - iDASH: Protecting privacy, providing data access and analyses to only those researchers approved to conduct a certain study or query, and facilitating shared access of clinical and genetic data of special populations.
  • UC ReX(UC ReX) Data Explorer (i2b2 SHRINE), is a secure, web based system that enables UC investigators to identify potential research study cohorts at the five UC medical centers. 
  • VentNet: A Real-Time Multimodal Data Integration Model for Prediction of Respiratory Failure in Patients with COVID-19