You have accessJournal of UrologyStone Disease: Epidemiology & Evaluation II1 Apr 2016PD47-07 DEVELOPMENT AND IMPLEMENTATION OF AN ELECTRONIC MEDICAL RECORD-BASED PROSPECTIVE URINARY STONE REGISTRY: RESKU, THE REGISTRY FOR STONES OF THE KIDNEY & URETER David T. Tzou, Helena Chang, Manint Usawachintachit, Ryan S. Hsi, Marshall L. Stoller, and Tom Chi David T. TzouDavid T. Tzou More articles by this author , Helena ChangHelena Chang More articles by this author , Manint UsawachintachitManint Usawachintachit More articles by this author , Ryan S. HsiRyan S. Hsi More articles by this author , Marshall L. StollerMarshall L. Stoller More articles by this author , and Tom ChiTom Chi More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2016.02.2695AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Registry-based clinical research in nephrolithiasis is critical to advancing quality in urinary stone disease management because as a non-malignant chronic condition, there is heterogeneity in its presentation, treatment, and outcomes. Electronic medical records (EMR) are now widespread, however their primary design is not as a research platform. There is a need to develop HIPAA-compliant registries comprised of integrated EMR data using prospectively defined variables. The ideal registry would be accurate, detailed, easy to populate, and rapidly scalable to multiple centers with low maintenance costs. We developed an EMR-based standardized patient database - Registry for Stones of the Kidney & Ureter (ReSKU) - and herein describe our implementation outcomes. METHODS Interviews with academic and community endourologists in the United States, Canada, China, and Japan identified essential demographic, intraoperative, and peri-operative variables to populate our registry. Variables were incorporated into a HIPAA compliant REDCap database that was linked to text prompts and registration data within the Epic EMR platform. For each variable, data input click-boxes eliminated free-text entry and standardized data queries. Branched logic provided more efficient and accurate collection. Specific data collection instruments supporting New patient, Surgery, Post-op, and Follow-up clinical encounters were created within Epic to facilitate automated data extraction into ReSKU. RESULTS The ReSKU registry was approved by local IRBs and data collection is ongoing at 3 medical centers. The number of potential variables for each instrument includes: New patient - 51, Surgery - 70, Post-op - 57, Follow-up - 72. With manual data entry, the mean times to complete each of the clinic based instrument were (minutes): New patient - 12.06 ± 2.30, Post-op - 7.18 ± 1.02, Follow-up - 8.10 ± 0.58. With automated data extraction from Epic, manual entry is obviated. Providers in each clinic reported minimal impact in patient care workflow during initial implementation. CONCLUSIONS ReSKU is an integrative, prospective nephrolithiasis registry that captures EMR data for clinical research. This platform can be implemented with minimal clinical care disruption and is scalable to multiple EMR platforms. Clinical research generated from ReSKU will facilitate high quality longitudinal studies, allow large-scale examination of quality outcomes, and facilitate robust multi-institutional collaboration. © 2016FiguresReferencesRelatedDetails Volume 195Issue 4SApril 2016Page: e1172-e1173 Advertisement Copyright & Permissions© 2016MetricsAuthor Information David T. Tzou More articles by this author Helena Chang More articles by this author Manint Usawachintachit More articles by this author Ryan S. Hsi More articles by this author Marshall L. Stoller More articles by this author Tom Chi More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...