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The University of Southampton
Web Science Institute

CLEAR: Comparing Learning Event and Actual Resuscitation Data. A Web Observatory for Resuscitation Data Project

Overview

Basic Life Support (BLS) is an emergency procedure undertaken when heart and /or lung function ceases. Once expert clinicians arrive the Advanced Life Support (ALS) procedure is followed. Both BLS and ALS have been standardised for many years (Resuscitation UK, 2011): training is mandatory and increasingly uses computerised patient simulator scenarios which have the functionality to record camera feeds and sensor data from simulation mannequins. CLEAR aims to develop collaborative partnerships with the Resuscitation Council UK and Laerdal plc to establish a Web Observatory for multimedia training and hospital resuscitation data. A central repository of video and/or linked sensor data provides the opportunity for analysis of resuscitation event recordings, where analysis has previously relied upon retrospective reporting. Tools will be developed building on previous pilot studies to enable annotation of the data, automated recognition and monitoring of identified events facilitating the analysis of these large and complex data. This ambitious undertaking would enhance current reporting systems with the objective to improve resuscitation training techniques. By establishing robust links with the existing resuscitation community there is also the potential to address clinically significant research questions by providing access to new technologies and developing new methods and tools to analyse complex multimedia data sets.

To view the final report for this project go to the 'Useful Downloads' section of this page.

Staff

Principal Investigator: Dr Eloise Monger, Health Sciences

Co-Investigator: Dr Mary Gobbi, Health Sciences

Co-Investigator: Dr Mark Weal, Electronics and Computer Science

Report

Final Report.

 

Basic Life Support (BLS) is an emergency procedure undertaken when heart and /or lung function ceases. Once expert clinicians arrive the Advanced Life Support (ALS) procedure is followed. Both BLS and ALS have been standardised for many years (Resuscitation UK, 2011): training is mandatory and increasingly uses computerised patient simulator scenarios which have the functionality to record camera feeds and sensor data from simulation mannequins. CLEAR aims to develop collaborative partnerships with the Resuscitation Council UK and Laerdal plc to establish a Web Observatory for multimedia training and hospital resuscitation data. A central repository of video and/or linked sensor data provides the opportunity for analysis of resuscitation event recordings, where analysis has previously relied upon retrospective reporting. Tools will be developed building on previous pilot studies to enable annotation of the data, automated recognition and monitoring of identified events facilitating the analysis of these large and complex data. This ambitious undertaking would enhance current reporting systems with the objective to improve resuscitation training techniques. By establishing robust links with the existing resuscitation community there is also the potential to address clinically significant research questions by providing access to new technologies and developing new methods and tools to analyse complex multimedia data sets.

To view the final report for this project go to the 'Useful Downloads' section of this page.

Principal Investigator:  Dr Eloise Monger, Health Sciences

Co-Investigator:          Dr Mary Gobbi, Health Sciences

Co-Investigator:          Dr Mark Weal, Electronics and Computer Science

Useful Downloads

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