CancerLinQ: Origins, Implementation, and Future Directions.
Samuel M Rubinstein1, Jeremy L Warner1
1Samuel M. Rubinstein, Vanderbilt University Medical Center; and Jeremy L. Warner, Vanderbilt University Medical Center; Vanderbilt University, Nashville, TN.
JCO Clinical Cancer Informatics
|January 18, 2019
Summary
Rapid-learning health systems leverage real-time data to enhance cancer care quality and reduce costs. The CancerLinQ initiative exemplifies this approach, facing challenges in data integration and stakeholder satisfaction.
Area of Science:
- Oncology
- Health Informatics
- Quality Improvement
Background:
- Rapid-learning health systems (RLHS) offer a solution to improve medical quality and reduce costs by using near real-time data from electronic health systems.
- The complex and dynamic nature of cancer care presents significant opportunities for RLHS to benefit oncology practice.
Purpose of the Study:
- To review the rationale for developing RLHS in oncology.
- To describe the development and current status of the American Society of Clinical Oncology's (ASCO) CancerLinQ initiative.
- To discuss the challenges in implementing RLHS for oncology.
Main Methods:
- Review of the rationale and development process for RLHS in oncology.
- Description of ASCO's CancerLinQ initiative, including its current state and relevance to the Beau Biden Cancer Moonshot.
- Analysis of challenges in implementing RLHS, such as multiomic data integration and big data capture.
Main Results:
- RLHS have the potential to significantly improve quality and reduce costs in cancer care.
- ASCO's CancerLinQ initiative is a key development in this area, contributing to national efforts like the Cancer Moonshot.
- Optimal implementation faces challenges including data integration, diverse data sources, competitive landscape, and stakeholder needs.
Conclusions:
- RLHS, exemplified by CancerLinQ, are crucial for advancing oncology practice.
- Successful implementation requires addressing significant challenges in data management and stakeholder alignment.
- Continued development is needed to fully realize the benefits of RLHS in cancer care.
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