Article Text

Download PDFPDF

Pushing boundaries of video review in trauma: using comprehensive data to improve the safety of trauma care
  1. Brodie Nolan1,2,
  2. Christopher M Hicks1,2,
  3. Andrew Petrosoniak1,2,
  4. James Jung3,
  5. Teodor Grantcharov3,4
  1. 1Department of Emergency Medicine, St Michael's Hospital, Toronto, Ontario, Canada
  2. 2Division of Emergency Medicine, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
  3. 3Department of Surgery, University of Toronto, Toronto, Ontario, Canada
  4. 4Department of Surgery, St Michael's Hospital, Toronto, Ontario, Canada
  1. Correspondence to Dr Brodie Nolan, Emergency Medicine, St Michael's Hospital, Toronto, ON M5B 1W8, Canada; brodie.nolan{at}mail.utoronto.ca

Abstract

Adverse events and lapses in safety are identified after the fact and often discussed through postevent review. These rounds rely on personal recollection, information from patient charts and incident reports that are limited by retrospective data collection. This results in recall bias and inaccurate or insufficient detail related to timeline, incidence and nature adverse events. To better understand the interplay of the complex team and task-based challenges in the trauma bay, we have developed a synchronized data capture and analysis platform called the Trauma Black Box (Surgical Safety Technologies, Toronto). This system continuously acquires audiovisual, patient physiological and environmental data from a sophisticated array of wall-mounted cameras, microphones and sensors. Expert analysts and software-based algorithms then populate a data timeline of case events from start to finish, retaining a handful of anonymized video clippings to supplement the review. These data also provide a consistent and reliable method to track specific quality metrics, such as time to trauma team assembly or time to blood product arrival. Furthermore, data can also be linked to patients’ electronic medical records to explore relationships between initial trauma resuscitation and downstream patient-oriented outcomes. A video capture and data analysis system for the trauma bay overcomes the inherent deficiencies in the current standard for evaluating patient care in the trauma bay and offers exciting potential to enhance patient safety through a comprehensive data collection system.

  • resuscitation
  • quality improvement
  • systems analysis
  • resuscitation
  • systems analysis
  • quality improvement
http://creativecommons.org/licenses/by-nc/4.0/

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

View Full Text

Statistics from Altmetric.com

Footnotes

  • Contributors All authors contributed to the planning, writing and editing of this work. All authors have approved the final version of this article.

  • Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

  • Competing interests TG is a founder and equity holder of Surgical Safety Technologies. JJ receives funding as a scientific advisor for Surgical Safety Technologies.

  • Patient consent for publication Not required.

  • Provenance and peer review Not commissioned; internally peer reviewed.

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.