A next-generation augmented reality platform for mass casualty incidents (MCI)

It is vitally important to coordinate resources, information sharing, and two-way communication between medical incident commanders (ICs) and first medical responders (paramedics) at mass casualty incidents (MCI) sites. Information at the time of disasters also needs to be effectively analyzed and presented through intelligent user interfaces. Such interfaces need to be easy-to-use by ICs to foster critical decisions that can potentially reduce mortality rates. In this paper, we present Panacea's Cloud™---a next-generation multiple casualty management system. This system has been iteratively developed and refined based on user experience research driven methodology that employed a mixed methods approach, including the views of clinical experts. Panacea's Cloud™ is an example of a next generation MCI system that has an intelligent dashboard that integrates Internet-of-Things (IoT) technologies such as wearable devices and augmented reality technology (AR), virtual beacons, and sensor network nodes. It supports coordination between ICs and paramedics. Our research demonstrates how IoT-based web applications, especially AR and the use of smart glasses, can be futuristically designed for purposes of smart healthcare applications that have effective and efficient communication capabilities. General design recommendations for next generation multiple casualty management system development include incorporating Situational Awareness features, a Synchronous Map View system, a Hands-Free Communication service with AR and smart glasses, Digital Notes, and resilient Wi-Fi networks.

[1]  Benedikt Schmidt,et al.  Support for collaborative situation analysis and planning in crisis management teams using interactive tabletops , 2013, ITS.

[2]  Joseph M. Galante,et al.  Mass casualty disasters: who should run the show? , 2015, The Journal of emergency medicine.

[3]  Jakob Nielsen,et al.  The usability engineering life cycle , 1992, Computer.

[4]  Eva Blomqvist,et al.  The use of Semantic Web technologies for decision support - a survey , 2014, Semantic Web.

[5]  Prasad Calyam,et al.  Intelligent Dashboard for augmented reality based incident command response co-ordination , 2016, 2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC).

[6]  Thomas Ludwig,et al.  Information and Expertise Sharing in Inter-Organizational Crisis Management , 2014, Computer Supported Cooperative Work (CSCW).

[7]  Ralph H. Cullen,et al.  Designing a Decision Support System for Disaster Management and Recovery , 2014 .

[8]  Mihail Popescu,et al.  Panacea's Glass: Mobile Cloud Framework for Communication in Mass Casualty Disaster Triage , 2015, 2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering.

[9]  B. Thomas,et al.  Usability Evaluation In Industry , 1996 .

[10]  Yi Lixin,et al.  An analysis on disasters management system in China , 2011, Natural Hazards.

[11]  Tony Liao,et al.  Is it 'augmented reality'? Contesting boundary work over the definitions and organizing visions for an emerging technology across field-configuring events , 2016, Inf. Organ..

[12]  James T. Miller,et al.  An Empirical Evaluation of the System Usability Scale , 2008, Int. J. Hum. Comput. Interact..

[13]  Michael Herczeg,et al.  Interactive Cognitive Artifacts for Enhancing Situation Awareness of Incident Commanders in Mass Casualty Incidents , 2014, ECCE.

[14]  Michael Herczeg,et al.  Optical Head-Mounted Displays in Mass Casualty Incidents: Keeping an Eye on Patients and Hazardous Materials , 2015, Int. J. Inf. Syst. Crisis Response Manag..

[15]  Andrew May,et al.  A user centred design evaluation of the potential benefits of advanced wireless sensor networks for fire-in-tunnel emergency response , 2014 .

[16]  Jeff Sauro,et al.  The Factor Structure of the System Usability Scale , 2009, HCI.

[17]  Crisis communication management within the context of strategic communication and perception management Stratejik iletişim ve algı yönetimi bağlamında kriz iletişim yönetimi , 2015 .

[18]  Janni Nielsen,et al.  Getting access to what goes on in people's heads?: reflections on the think-aloud technique , 2002, NordiCHI '02.

[19]  P. Ellerbroek,et al.  Indoor fire in a nursing home: evaluation of the medical response to a mass casualty incident based on a standardized protocol , 2015, European Journal of Trauma and Emergency Surgery.

[20]  Hong-In Cheng,et al.  Icon and user interface design for emergency medical information systems: A case study , 2012, Int. J. Medical Informatics.

[21]  D. Mozingo,et al.  Reduction in critical mortality in urban mass casualty incidents: analysis of triage, surge, and resource use after the London bombings on July 7, 2005 , 2008 .

[22]  Michael Herczeg,et al.  Smartglasses for the Triage of Casualties and the Identification of Hazardous Materials , 2016, i-com.

[23]  Fatih Demir,et al.  Research Methods in Usability and Interaction Design: Evaluations and Case Studies , 2012 .

[24]  Jeff Sauro,et al.  Quantifying the User Experience: Practical Statistics for User Research , 2012 .

[25]  John Yen,et al.  Challenges to effective crisis management: Using information and communication technologies to coordinate emergency medical services and emergency department teams , 2009, Int. J. Medical Informatics.

[26]  R. L. Herron,et al.  Use and Misuse of the Likert Item Responses and Other Ordinal Measures , 2015, International journal of exercise science.

[27]  Volker Paelke Designing Multi-Modal Map-Based Interfaces for Disaster Management , 2012 .

[28]  Jakob Nielsen,et al.  Heuristic Evaluation of Prototypes (individual) , 2022 .

[29]  Dmitrii Chemodanov,et al.  Hierarchical Cloud-Fog Platform for Communication in Disaster Incident Coordination , 2019, 2019 7th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud).

[30]  Yuska P. C. Aguiar,et al.  Analysis of the User Behaviour When Interacting with Systems During Critical Situations , 2015 .

[31]  Ted Boren,et al.  Thinking aloud: reconciling theory and practice , 2000 .

[32]  Aura Ganz,et al.  Mobile DIORAMA-II: Infrastructure less information collection system for mass casualty incidents , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[33]  Y. Wang,et al.  An unstructured information management system (UIMS) for emergency management , 2012, Expert Syst. Appl..

[34]  Stefan Kaufmann,et al.  IT's about more than speed. The impact of IT on the management of mass casualty incidents in Germany , 2013, ISCRAM.

[35]  K. Brohi,et al.  Reduction in critical mortality in urban mass casualty incidents: analysis of triage, surge, and resource use after the London bombings on July 7, 2005 , 2006, The Lancet.

[36]  Jarek Nabrzyski,et al.  Measuring Usability in Decision Tools Supporting Collaborations for Environmental Disaster Response , 2016, 2016 49th Hawaii International Conference on System Sciences (HICSS).

[37]  Thomas Kirste,et al.  Design Challenges for an Integrated Disaster Management Communication and Information System , 2002 .

[38]  Gudrun Klinker,et al.  Creating a common operation picture in realtime with user-centered interfaces for mass casualty incidents , 2012, 2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops.

[39]  Jeremy R. Cooperstock,et al.  Real-time emergency response: improved management of real-time information during crisis situations , 2013, Journal on Multimodal User Interfaces.

[40]  James R. Lewis,et al.  How Expertise Affects a Digital-Rights-Management-Sharing Application's Usability , 2016, IEEE Software.

[41]  Håkan Alm,et al.  Usability and decision support systems in emergency management. , 2012, Work.