R-CAST-MED

Applying intelligent agents to support emergency medical decision-making teams

Shizhuo Zhu, Joanna Abraham, Sharoda A. Paul, Madhu Reddy, John Yen, Mark Pfaff, Christopher DeFlitch

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)

Abstract

Decision-making is a crucial aspect of emergency response during mass casualty incidents (MCIs). MCIs require rapid decisions to be taken by geographically-dispersed teams in an environment characterized by insufficient information, ineffective collaboration and inadequate resources. Despite the increasing adoption of decision support systems in healthcare, there is limited evidence of their value in large-scale disasters. We conducted focus groups with emergency medical services and emergency department personnel who revealed that one of the main challenges in emergency response during MCIs is information management. Therefore, to alleviate the issues arising from ineffective information management, we propose R-CAST-MED, an intelligent agent architecture built on Recognition-Primed Decision-making (RPD) and Shared Mental Models (SMMs). A simulation of R-CAST-MED showed that this tool enabled efficient information management by identifying relevant information, inferring missing information and sharing information with other agents, which led to effective collaboration and coordination of tasks across teams.

Original languageEnglish (US)
Title of host publicationArtificial Intelligence in Medicine - 11th Conference on Artificial Intelligence in Medicine, AIME 2007, Proceedings
Pages24-33
Number of pages10
Volume4594 LNAI
StatePublished - Oct 15 2007
Event11th Conference on Artificial Intelligence in Medicine, AIME 2007 - Amsterdam, Netherlands
Duration: Jul 7 2007Jul 11 2007

Other

Other11th Conference on Artificial Intelligence in Medicine, AIME 2007
CountryNetherlands
CityAmsterdam
Period7/7/077/11/07

Fingerprint

Intelligent agents
Information Management
Intelligent Agents
Emergency
Information management
Emergency Response
Decision making
Decision Making
Mental Models
Agent Architecture
Information Sharing
Decision Support Systems
Disaster
Decision support systems
Disasters
Healthcare
Personnel
Resources
Simulation
Collaboration

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Zhu, S., Abraham, J., Paul, S. A., Reddy, M., Yen, J., Pfaff, M., & DeFlitch, C. (2007). R-CAST-MED: Applying intelligent agents to support emergency medical decision-making teams. In Artificial Intelligence in Medicine - 11th Conference on Artificial Intelligence in Medicine, AIME 2007, Proceedings (Vol. 4594 LNAI, pp. 24-33)
Zhu, Shizhuo ; Abraham, Joanna ; Paul, Sharoda A. ; Reddy, Madhu ; Yen, John ; Pfaff, Mark ; DeFlitch, Christopher. / R-CAST-MED : Applying intelligent agents to support emergency medical decision-making teams. Artificial Intelligence in Medicine - 11th Conference on Artificial Intelligence in Medicine, AIME 2007, Proceedings. Vol. 4594 LNAI 2007. pp. 24-33
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Zhu, S, Abraham, J, Paul, SA, Reddy, M, Yen, J, Pfaff, M & DeFlitch, C 2007, R-CAST-MED: Applying intelligent agents to support emergency medical decision-making teams. in Artificial Intelligence in Medicine - 11th Conference on Artificial Intelligence in Medicine, AIME 2007, Proceedings. vol. 4594 LNAI, pp. 24-33, 11th Conference on Artificial Intelligence in Medicine, AIME 2007, Amsterdam, Netherlands, 7/7/07.

R-CAST-MED : Applying intelligent agents to support emergency medical decision-making teams. / Zhu, Shizhuo; Abraham, Joanna; Paul, Sharoda A.; Reddy, Madhu; Yen, John; Pfaff, Mark; DeFlitch, Christopher.

Artificial Intelligence in Medicine - 11th Conference on Artificial Intelligence in Medicine, AIME 2007, Proceedings. Vol. 4594 LNAI 2007. p. 24-33.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Zhu, Shizhuo

AU - Abraham, Joanna

AU - Paul, Sharoda A.

AU - Reddy, Madhu

AU - Yen, John

AU - Pfaff, Mark

AU - DeFlitch, Christopher

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AB - Decision-making is a crucial aspect of emergency response during mass casualty incidents (MCIs). MCIs require rapid decisions to be taken by geographically-dispersed teams in an environment characterized by insufficient information, ineffective collaboration and inadequate resources. Despite the increasing adoption of decision support systems in healthcare, there is limited evidence of their value in large-scale disasters. We conducted focus groups with emergency medical services and emergency department personnel who revealed that one of the main challenges in emergency response during MCIs is information management. Therefore, to alleviate the issues arising from ineffective information management, we propose R-CAST-MED, an intelligent agent architecture built on Recognition-Primed Decision-making (RPD) and Shared Mental Models (SMMs). A simulation of R-CAST-MED showed that this tool enabled efficient information management by identifying relevant information, inferring missing information and sharing information with other agents, which led to effective collaboration and coordination of tasks across teams.

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Zhu S, Abraham J, Paul SA, Reddy M, Yen J, Pfaff M et al. R-CAST-MED: Applying intelligent agents to support emergency medical decision-making teams. In Artificial Intelligence in Medicine - 11th Conference on Artificial Intelligence in Medicine, AIME 2007, Proceedings. Vol. 4594 LNAI. 2007. p. 24-33