Self Service Tools

The Research Informatics Core (RIC) also provides self-service tools to evaluate study feasibility and identify appropriate cohorts for the recruitment of clinical trials. The following tools provide de-identified aggregated counts of patients with the clinical characteristics of interest for a clinical trial:

• TriNetX
  TriNetX is a third-party software product that provides clinical data network access to rapidly identify potential cohorts for clinical trials across their global health research network. TriNetX includes longitudinal clinical data views that help investigators understand how inclusion and exclusion criteria impact the size of the anticipated indicated patient population. TriNetX helps optimize study design and speed accrual of the study population. This tool offers a robust web-based UI that has intuitive query functions and an out-of-the-box reporting tool. Click here to request credentials to access TriNetX.
  
  
• i2b2  Informatics for Integrating Biology & the Bedside
  ii2b2 is an open-source clinical data warehousing and analytics research platform. i2b2 is also a self-service tool where users can select eligible criteria, including demographics, diagnosis, labs, medications, and procedures, and get aggregated counts interactively.
  
  
• ACT 
  Accrual to Clinical Trials (ACT) Network is a nationwide federation of leading academic research institutions that share aggregate patient counts (>125 million patient records) from electronic health record data. Its development is funded by grants from the NIH through the National Center for Advancing Translational Sciences (NCATS) to individual CTSA sites. UMCCTS is a member of the consortium. ACT facilitates cohort identification to explore the patient cohort not only at the UMass site but also at ~60 CTSA sites across the nation.
  
  
• The National COVID Cohort Collaborative - N3C
  N3C is an NIH NCATS-sponsored analytics platform that contains clinical data from the electronic health records of patients who were tested for the novel coronavirus or who have had related symptoms. UMass Chan Medical School was one of the first 12 sites to deposit COVID data to N3C. CTSA sites across the country are continuing to contribute data to N3C with the goal of creating a harmonized data set from all 60+ CTSAs.
  
  
• Conquering Diseases Registry
  RIC collaborates with the Office of Clinical Research on the Conquering Diseases registry for people interested in participating in clinical research at UMass. UMass researchers whose protocols include use of the Conquering Diseases registry for recruitment can contact RIC to get access to over 1,500 registry members most of whom live within a short distance to UMass, receive care at UMass and have agreed to be contacted directly from study teams about opportunities to participate in clinical research.