Tracking workflow during high-stakes resuscitation: the application of a novel clinician movement tracing tool during in situ trauma simulation. (16th March 2018)

• Record Type: Journal Article
• Authors: Petrosoniak, Andrew; Almeida, Rodrigo; Pozzobon, Laura Danielle; Hicks, Christopher; Fan, Mark; White, Kari; McGowan, Melissa; Trbovich, Patricia
• Is Part Of: BMJ simulation & technology enhanced learning. Volume 5:Number 2(2019)
• Page Start: 78
• Page End: 84
• Publication Date: 2018-03-16
• Subjects: simulation -- workflow -- movement analysis -- in situ -- trauma; Medicine -- Simulation methods -- Periodicals; Medical innovations -- Periodicals; 610.113
• DOI: 10.1136/bmjstel-2017-000300
• Languages: English
• ISSNs: 2056-6697

Abstract

Abstract : Introduction: Clinician movement and workflow analysis provides an opportunity to identify inefficiencies during trauma resuscitation care. Inefficient workflows may represent latent safety threats (LSTs), defined as unrecognised system-based elements that can negatively impact patients. In situ simulation (ISS) can be used to model resuscitation workflows without direct impact on patients. We report the pilot application of a novel, tracing tool to track clinician movement during high-fidelity ISS trauma sessions. Methods: Twelve unannounced ISSs were conducted. An open source, Windows-based video overlay tracing tool was developed to generate a visual representation of participant movement during ISS. This tracing tool used a manual mouse tracking algorithm to produce point-by-point location information of a selected participant in a video. The tracing tool was applied to video recordings of clinicians performing a cricothyroidotomy during ISS trauma scenarios. A comparative workflow and movement analysis was completed, which included distance travelled and space utilisation. This data was visually represented with time-lapsed movement videos and heat maps. Results: A fourfold difference in the relative distance travelled was observed between participants who performed a cricothyroidotomy during an ISS trauma resuscitation. Variation in each participant's movement was attributable to three factors: (1) team role assignment and task allocation; (2) knowledge of clinical space: equipment location and path to equipment retrieval; and (3) equipment bundling. This tool facilitated LST identification related to cricothyroidotomy performance. Conclusion: This novel tracing tool effectively generated a visual representation of participants' workflows and quantified movement during ISS video review. An improved understanding of human movement during ISS trauma resuscitations provides a unique opportunity to augment simulation debriefing, conduct human factor analysis of system elements (eg, tools/technology, physical environment/layout) and foster change management towards efficient workflows.