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

Abstract

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. 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. 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.