HICOR IQ: Developing a regional oncology metric reporting platform.

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165 Background: The Hutchinson Institute for Cancer Outcomes Research (HICOR) has adopted a multi-stakeholder approach to identify and prioritize metrics to characterize oncology care in the Western Washington. In March 2015, HICOR released a beta version of an oncology informatics platform, named HICOR IQ, which allows regional payers, providers and patient advocates to view and interact with community-prioritized metrics. Methods: Surveillance, Epidemiology, and End Results (SEER) records for patients diagnosed with cancer in Western Washington state between January 1, 2007 and May 31, 2014 were linked with enrollment and claims from two regional commercial insurance plans. Algorithms were developed to characterize the 2012 ASCO Choosing Wisely (CW) recommendations in the claims-registry database. HICOR partnered with LabKey Software to develop a regional metric reporting platform. Results: The beta version of HICOR IQ displays regional results for the CW recommendations, then allow users to customize the reports by stratifying and/or filtering by different demographic (age, race, gender), clinical (cancer site, stage) and provider (clinic volume) characteristics. In addition, de-identified clinic specific adherence can be plotted to show variation in care throughout the region. A convenience sample of oncology clinic leaders was asked to review and comment on the beta-version. Primary suggestions were as follows: Display clinic-identifying information based on logged in user; Expand the flexibility of the tool to allow for user-created metrics; Keep the tool intuitive and easy to use; Protect the data and identity of patients. Future development of the tool will take an iterative process to allow for continued user feedback. The next planned version of HICOR IQ will incorporate user feedback by displaying clinic-identifying information based on the user and expanding the reporting of regional metrics. Conclusions: It is feasible to create a tool that reports regional adherence rates to oncology metrics. An iterative process that incorporates user feedback is an important step to build a tool that is adopted by the community.