Abstract
PURPOSE An important obstacle to cancer research is that nearly all academic cancer centers maintain substantial collections of highly duplicative, poorly quality-assured, nonintercommunicating, difficult-to-access data repositories. It is inherently clear that this state of affairs increases costs and reduces quality and productivity of both research and nonresearch activities. We hypothesized that designing and implementing a multipurpose cancer information system on the basis of the Biomedical Research Integrated Domain (BRIDG) model developed by the National Cancer Institute and its collaborators might lessen the duplication of effort inherent in capturing, quality-assuring, and accessing data located in multiple single-purpose systems, and thereby increases productivity while reducing costs. METHODS We designed and implemented a core data structure on the basis of the BRIDG model and incorporated multiple entities, attributes, and functionalities to support the multipurpose functionality of the system. We used the resultant model as a foundation upon which to design and implement modules for importing preexisting data, capturing data prospectively, quality-assuring data, exporting data to analytic files, and analyzing the quality-assured data to support multiple functionalities simultaneously. To our knowledge, our system, which we refer to as the Cancer Informatics Data System, is the first multipurpose, BRIDG-harmonized cancer research information system implemented at an academic cancer center. RESULTS We describe the BRIDG-harmonized system that simultaneously supports patient care, teaching, research, clinical decision making, administrative decision making, mandated volume-and-outcomes reporting, clinical quality assurance, data quality assurance, and many other functionalities. CONCLUSION Implementation of a highly quality-assured, multipurpose cancer information system on the basis of the BRIDG model at an academic center is feasible and can increase access to accurate data to support research integrity and productivity as well as nonresearch activities.
| Original language | English |
|---|---|
| Pages (from-to) | 1076-1084 |
| Number of pages | 9 |
| Journal | JCO clinical cancer informatics |
| Volume | 5 |
| DOIs | |
| State | Published - 2021 |
Bibliographical note
Publisher Copyright:© 2021 by American Society of Clinical Oncology.
Funding
We assembled a multidisciplinary team, including a practicing oncologist and cancer informatics specialist, a relational database expert, a statistical programmer, a masters-level data management specialist, several general application developers, and several administrative project managers. We devoted approximately 12 months to analyzing the existing cancer informatics infrastructure at our institution, studying the BRIDG model, and planning the overall approach. An important early decision was to divide the project into a series of relatively small iterations and to limit the first iteration to hematopoietic stem-cell transplantation (HSCT). Support for the project was provided by the Departments of Medical Oncology, Radiation Oncology, and Information Systems and Technology and the TJU Sidney Kimmel Cancer Center.
| Funders |
|---|
| TJU Sidney Kimmel Cancer Center |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
ASJC Scopus subject areas
- General Medicine
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