Journal article
Exploiting multiple goals and intentions in decision support for the management of multiple trauma: a review of the TraumAID project
Artificial intelligence, v 105(1), pp 263-293
1998
Abstract
Managing a patient with multiple injuries is a cognitively intense task. While protocols provide invaluable support for maintaining quality care, they generally address a single condition, while multiple trauma generally involves many. The TraumAID system tries to address this by providing tools for reasoning, planning, plan recognition and text generation which essentially coordinate and integrate multiple recommendations from multiple protocols. This paper reviews work on all these tools, including their (individual) evaluations, setting the work within a uniform conceptual framework of goals, intentions and actions. Because TraumAID's use in real-time decision support depends critically on electronic forms of information sharing and recording practices in the Emergency Trauma Center, TraumAID continues to remain a laboratory exercise. Nevertheless, the general value of integrating multiple protocols for decision support justifies attention to the solution methods TraumAID provides.
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Details
- Title
- Exploiting multiple goals and intentions in decision support for the management of multiple trauma: a review of the TraumAID project
- Creators
- Bonnie Webber - University of EdinburghSandra Carberry - University of DelawareJohn R. Clarke - Allegheny University of the Health SciencesAbigail Gertner - University of PittsburghTerrence Harvey - University of DelawareRon Rymon - University of PittsburghRichard Washington - University of Pennsylvania, Philadelphia
- Publication Details
- Artificial intelligence, v 105(1), pp 263-293
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:000077102100008
- Scopus ID
- 2-s2.0-0032179622
- Other Identifier
- 991019169812204721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence