Abstracts

Rationale: The terminology used in free text continuous EEG monitoring reports for critically ill patients may be variable, making interpretation complex for critical care providers and limiting data utility for large observational multi-center studies. We aimed to develop an ICU EEG reporting system which could standardize interpretation terminology, provide clinical reports, and allow data collection for research and quality improvement studies. Methods: Based on the ACNS ICU EEG terminology (for neonates and critically ill patients) and the Critical Care EEG Monitoring Research Consortium’s Access database, we created a new reporting system in Epic (Verona, WI) 2015. This work was performed as part of a quality improvement project and included an interdisciplinary team of pediatric electroencephalographers and an Epic analyst. Results: We used Procedural SmartForms to build a result entry tool allowing entry of coded data which populated discrete report fields on a Procedure Note Report. Many fields contain embedded explanatory text that appears when cursor hovers over the data field which could optimize teaching and help standardize EEG interpretation. Text generation scripting was used to convert brief button answers into conventionally formatted text report components. Additional smart logic scripting allowed the entire report Smartform to be condensed onto one screen display. The Procedure Encounter can be triggered by an order and populates a patient list to track patients undergoing EEG monitoring. Report completion leads to report transmission to the ordering provider and could drive electronic technical and professional billing. All of the fields in the Procedural SmartForms are coded so key findings can be pulled automatically into summary reports, transition of care documents, and referral letters. Additionally, the coded data can be abstracted from Epic using Epic Clarity data warehouse for research or quality improvement purposes. Conclusions: This tool could be built into Epic at individual institutions or possibly distributed centrally by Epic to allow standardized reporting for multi-center research studies. Funding: NIH (NINDS)