HDC is engaged in projects that acquire and leverage biomedical big data to provide answers to pressing questions in cancer research. Examples may include the deployment of tools for mobile health data collection, acquisition of medical record data in combination with patient-reported outcomes, or implementation of novel machine learning algorithms for integrative genomics analyses.


Caisis is an open source, web-based, cancer data management product designed to bridge the gap between research and patient care. It was initiated in the Department of Urology at Memorial Sloan-Kettering Cancer Center in 2002 and under the GNU General Public License has been developed by a number of institutions worldwide.  The tool is intended to promote standards and collaborative research, and has been downloaded by thousands of institutions worldwide.  In most cases it is being used to help manage patient data for research.   (Reference:


Gateway is a patient data system primarily used for transplant pre-arrival management, census, and long-term follow-up. Most of the information relates to hematopoietic stem cell transplant (HSCT) patients and comes from LabVision, the University of Washington, Seattle Children's Hospital, the Seattle Cancer Care Alliance, and Fred Hutch. Examples of report subscriptions include:

  • Patient care list
  • Arrival schedules
  • Patient information sheets
  • Expired patient reports 
Access is through the CORE site.

OWL (Optical Web Library)  

Optical Web Library (OWL) is a web-based application maintained by Fred Hutch Clinical Research Division that houses scanned images of certain information from patients medical records and Long-Term Follow-Up (LTFU), such as:

  • Information contained in the patient’s SCCA and inpatient records
  • LTFU correspondence
  • Consents
  • Flow sheets (post data abstraction)

For historical patients, the pre-transplant history is all original data, not available elsewhere.

Access is through the CORE site.