CancerLinQ prototype from American Society of Clinical Oncology aggregates data from disparate EHRs to find the most effective therapy for a specific patient.
What ASCO is trying to do in its CancerLinQ project is create a "learning health system" that will collect and analyze cancer care data from millions of patient visits. By combining that with expert guidelines and other evidence, ASCO hopes to deliver "real-time, personalized guidance and quality feedback for physicians," according to a press release.
ASCO's prototype links together several open source and proprietary IT applications to do the following:
-- Accept cancer care data directly from any EHR system, as well as other sources such as lab data, genomic profiles and physician notes.
-- Provide clinical decision support to help physicians care for patients with breast cancer, based on automated versions of ASCO's breast cancer guidelines.
-- Enable researchers to explore the database to identify real-world trends and associations.
-- Provide accelerated feedback on physician performance against 10 quality measures from ASCO's Quality Oncology Practice Initiative.