Division of Research Informatics (RI)

Ajay Shah, Ph.D.
626-256-HOPE (4673), ext. 81967 
The Division of Research Informatics (RI) includes systems analysts, application developers/ software engineers, database administrators/architects, EDC/InTelescans group, and decision support services. The staff within RI is specially trained to focus on the information systems requirements unique to the research domain. RI combines the administrative and clinical care data collected during the normal course of patient care with protocol-specific data collected for research purposes and makes it available for use in outcome assessment and analysis.

The Division consists of three functional sections that include Clinical Research Informatics (CRI), Research Informatics Applications (RIA) and Translational Research Informatics (TRI). It also operates the Cancer Center’s Research Informatics section of the Clinical Protocol & Data Management (CPDM).

Research Informatics Applications


Srinivas Bolisetty

Research Informatics Applications(RIA) seeks to employ emergent technologies and industry best practices to create integrated products that support the translational continuum. By taking an agile driven methodology, we are able to rapidly move requirements through a continuous integration pipeline - favoring frequent releases to minimize the time it takes for ideas to progress from concept to implementation while maximizing tolerance to change.


  • Integrated Research Informatics Platform
  • In-house Applications
  • External Applications
  • Analysis, development, and integration of research support applications
  • Rapid Prototyping
  • Web & Mobile Development
In-House Applications
External Applications


Clinical Research Informatics (CRI)

Clinical Research Informatics (CRI) enables the effective and efficient execution of clinical research -- including clinical trials and outcomes research – by applying the science of information management. The key strategic goal of CRI is to build a world-class clinical research informatics infrastructure by implementing best-in-class vendor solutions where available and developing innovative solutions that give City of Hope researchers a competitive advantage. To advance this goal,CRI led the selection and implementation of the best-in-class Electronic Data Capture (EDC) solution for clinical trials with the Medidata EDC, and deployed the Clinical Research Portal business intelligence solution to help clinical researchers translate their data into decisions.
  • Clinical Trials Data Capture and Management - Provide informatics solutions to manage the planning, execution, and reporting of clinical trials, such as protocol authoring, adverse event reporting, and subject enrollment
  • Observational Research Data Capture and Management - Provide electronic data capture (EDC) systems with electronic case report forms (eCRFs) or computer-scannable CRFs to capture study data, such as adverse events and tumor response
  • Clinical Research Decision Support - Transforms data into decisions using business intelligence tools to report and analyze study-related data


Translational Research Informatics Core (TRIC)

Translational Research Informatics (TRI) strives to empower ground breaking research from basic bench research to clinical research and back. Our goal is to provide contemporary technological solutions to nimbly and specifically support information capture, management and exchange across the Translational Research Space.
Our approach is to provide support and service at the individual lab level. Introducing new information technology solutions to help make gathering and visualization of experimental data more facile and at the same time, to optimize and make the process of scientific research more efficient. While our target clients are in the translational research space, we will develop, in time, an information infrastructure partnered with Clinical Research Informatics (CRI) and Bioinformatics that will spark and enable collaborations across basic and clinical research.
  • Translational Research Experimental Data Capture, Management and Analyses
  • Systems and Process Analyses for Translational Research
  • Workflow/process analyses, optimization and automation.
  • Integrated inventory and sample management