Abstracts

Rationale: Implementation of electronic health records may improve the quality, accuracy, timeliness, and availability of documentation, thereby leading to efforts to develop integrated EEG Report systems. Given the importance of user perceptions for successful implementation, we performed a quality improvement study to evaluate our electroencephalographer satisfaction with a new EEG Report system. Methods: This was a quality improvement study regarding an EEG Report System. We implemented an EEG Report system fully integrated in an electronic health record. Providers can document on three different reading palettes (Standard, ICU, Neonate) which have standardized report components and use terminology recommended by the American Clinical Neurophysiology Society as well as free text fields. When a user hovers a cursor over many buttons, explanatory text displays some of the definitions and categories based on the standardized terminology. As part of the project, electroencephalographers were surveyed regarding overall acceptability, report standardization, workflow efficiency, documentation quality, and fellow education using a 0-5 (5 is best) scale. Results: Eighteen electroencephalographers responded to the survey. The median score for recommending the overall system to a colleague was 5 (range 3-5), indicating good overall satisfaction and acceptance of the EEG Reporting System. The median scores for Report Standardization (4; 3-5) and Workflow Efficiency (4.5; 3-5) indicated that respondents perceived the EEG Reporting System as useful and easy to use for documentation tasks. The median scores for Quality of Documentation (4.5; 1-5) and Fellow Education (4; 1-5) indicated that while most respondents perceived the EEG Reporting System to provide good quality reports and help with fellow education, a small number of respondents had substantially different views (ratings of 1). Conclusions: Overall satisfaction with the new system was high, as were scores for perceived usefulness (assessed as standardization, documentation quality, and education) and ease of use (assessed as workflow efficiency). Future study is needed to determine whether implementation yields useful data for clinical research and quality improvement studies or improves EEG report standardization. Funding: NINDS K02NS096058