Abstract P309: Provider Specific Quality Metrics: A Qualitative Approach to Quantitative Data
Introduction: Quality measures and benchmarks are well known constants in the stroke world, but there are no established metrics for provider-specific quality related to the practice of stroke care via telemedicine technologies. We propose quality measures uniquely attributable to the practice of stroke telemedicine, regardless of the site where the telemedicine is provided. Methods: By analyzing client feedback obtained through surveys and reviewing historical opportunities, we identified four common themes essential to an excellent telemedicine provider. We then defined and refined each category into reportable measures. Data for the measures are obtained from data entry fields in our internal electronic medical record and reported using Tableau analytics software. Additional data is obtained from client reports and converted into a numerical score. Results: The four thematic areas we identified are responsiveness, documentation compliance, clinical metrics, and citizenship. Responsiveness is measured by callback time and on-camera time. Documentation compliance is measured by percent compliance with documentation of NIHSS score, IV thrombolytic contraindication, and intra-arterial (IA) intervention contraindication. Clinical metrics are defined as alteplase decision making time and alteplase recommendation rate. Although not a purely objective measure, citizenship is a critical component of telemedicine, and thus included for all providers. We investigate and inventory both compliments and complaints received, which are then converted into a score based on all telemedicine encounters. Conclusion: There is a lack of definition in what constitutes clinical excellence for telemedicine, apart from benchmarks that exist for hospitals. Our approach is a novel perspective on categorizing and quantifying telemedicine performance, which can be used as a constructive feedback tool for providers, as well as a mechanism to evaluate and define clinical excellence. We can track performance over time and recognize providers for excellence. Future study is required to correlate these measures with patient outcomes.