By Institute of Medicine, Board on Health Care Services, National Cancer Policy Forum, Margie Patlak, Sharon Murphy
The IOM's nationwide melanoma coverage discussion board held a workshop October 5-6, 2009, to ascertain find out how to practice the idea that of a 'rapid studying wellbeing and fitness process' to the matter of melanoma. This rfile summarizes the workshop.
Read or Download A Foundation for Evidence-Driven Practice: A Rapid Learning System for Cancer Care: Workshop Summary PDF
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Extra info for A Foundation for Evidence-Driven Practice: A Rapid Learning System for Cancer Care: Workshop Summary
Wallace noted, “if you are not using the data to facilitate that conversation, there is no learning. ” If there is variability in certain regions and/or practices, KP can focus retraining and education efforts in that area to address the discrepancy in care. KP has just begun testing its new system for oncology care and found that between 63 and 84 percent of its standard treatment protocols were used without modification. “This means physicians can focus their time on customizing care so care is patient driven, not clinician driven,” Dr.
The researchers of this project also hope to eventually demonstrate reduced time lags between receipt of care and data reporting, analysis, and feedback. Two potential vehicles are available for promoting this development: the CoC’s RQRS (since 25 of the 70 beta test sites are in Georgia), and the Georgia Quality Information Exchange, an electronic network that is being established by the Georgia Cancer Coalition. The coalition’s President and Chief Executive Officer (CEO) William Todd noted that the coalition had commissioned the IOM to develop a strategy for measuring progress in cancer control that spans the continuum of cancer care from prevention, early detection, and screening, to diagnosis, staging, treatment, and palliation.
The caBIG has also BASIC ELEMENTS AND BUILDING BLOCKS OF A RLHS FOR CANCER 27 joined forces with academia, industry, foundations, insurers, and consumers to form the BIG Health Consortium, whose mission is to demonstrate the feasibility and benefits of personalized medicine. Through a series of projects, with an expanding number of collaborators, BIG Health will bootstrap a new approach in which clinical care, clinical research, and scientific discovery are linked. One of caBIG’s first enterprise projects, the Athena Breast Cancer Network, is to integrate diverse breast cancer data, including clinical, genomic, and molecular data, collected from 13 different sites encompassing more than 400,000 women within the University of California system, and make them accessible to end users.