CCR Help

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Cancer Clinical Research Key Features allows programs at the University of Utah/Huntsman Cancer Institute are designed to facilitate translational research through closely linked clinical and research investigations. The programs, or Cancer Groups, are commonly engaged in:

  • Applying common standards for clinical assessment and quality assurance
  • Understanding the underlying cellular, molecular, and biochemistry mechanisms contributing to the development of cancer
  • Understanding the genetic causes, environmental factors, and inheritance patterns involved in the development of cancer
  • Applying research results to innovative new clinical methods of prevention, screening, diagnosis, and therapy

The CCR Database provides a common repository for cancer specific clinical and research data to support the translational research. The repository is not a repetition of the existing electronic medical record, but is instead used:

  • To provide additional, complementary, cancer specific information
  • To provide a cancer clinician and researcher viewpoint for organization and presentation of the data
  • To allow for collection of research parameters for the various approved research studies
  • To allow for side by side comparison and mining of clinical and research data

Some of the information in the repository is very similar across the programs, such as

  • patient demographics,
  • test results,
  • samples,
  • diagnosis history,
  • staging history,
  • and cancer progression.

Another area of commonality for the programs is in connectivity to other clinical or research databases. Much of the information in the repository assists in viewing the patient longitudinally, progressing from pre-disease history and screenings, through diagnosis, treatment and follow-up. On the other hand, many of the details of cancer care and research evaluation need to be tailored to the specific needs of each Cancer Group. Each Cancer Group has the ability to create customizable and extensible Patient, Study, Tumor, Pathology, and Medical Event data.

Contact Us

Research Informatics Director
Andrew Post, MD, PhD
Andrew.Post@hci.utah.edu
801-585-0600

Research Informatics Associate Director
Shirleen Hewitt, DBA
Shirleen.Hewitt@hci.utah.edu
801-585-5972

Governance

HCI Senior Director Oversight
Aik Choon Tan, PhD

Faculty Advisory Committee Chair
Aik Choon Tan, PhD

Faculty Advisory Committee Members
HCI Research Executive Committee