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Improving Care Delivery: Location Timestamps to Enhance Process Measurement of a Clinical Workflow

Traditional quality improvement (QI) strategies to describe workflow processes rely primarily upon qualitative methods or human-driven observations. These methods may be limited in scope and accuracy when applied to time-based workflow processes. This study sought to evaluate the utility of integrat...

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Detalles Bibliográficos
Autores principales: Barrick, Lindsey, Wu, Danny T.Y., Frey, Theresa, Shu, Derek, Abbu, Ruthvik, Porter, Stephen C., Overmann, Kevin M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8476056/
https://www.ncbi.nlm.nih.gov/pubmed/34589649
http://dx.doi.org/10.1097/pq9.0000000000000475
Descripción
Sumario:Traditional quality improvement (QI) strategies to describe workflow processes rely primarily upon qualitative methods or human-driven observations. These methods may be limited in scope and accuracy when applied to time-based workflow processes. This study sought to evaluate the utility of integrating objective time measurements to augment traditional QI strategies using procedural sedation workflow in a pediatric emergency department as an archetype. METHODS: We applied the FOCUS-Plan-Do-Check-Act framework to reduce the time from arrival to sedation for long-bone fractures. First, we added supplementary framework-defining steps to repeat the Clarifying and Understanding steps. We then extracted objective time-based data from an electronic health record (EHR) system and a real-time locating system (RTLS). We then compared and contrasted the findings of traditional surveys with analyses of timed steps within the sedation workflow. RESULTS: When identifying the source of delays, traditional survey techniques yielded ambiguous and even conflicting results based on clinical roles. The timestamps supported 5 measurable clinical role of subworkflows. By measuring the time to completion for 54 sedation cases, workflow patterns and significant bottlenecks were identified. CONCLUSIONS: Analyzing the time to complete individual tasks provided a more nuanced description of workflow delays and clarity when traditional survey results conflicted. Augmenting traditional QI process maps with EHR and RTLS timestamps better explained workflow bottlenecks, informing the QI team when selecting targets for subsequent Plan-Do-Check-Act work.