Readings in medical artificial intelligence: the first decade
Readings in medical artificial intelligence: the first decade
Attention, intentions, and the structure of discourse
Computational Linguistics
Modeling the user's plans and goals
Computational Linguistics - Special issue on user modeling
The berkeley UNIX consultant project
Computational Linguistics
Readings in uncertain reasoning
Readings in uncertain reasoning
Survey of expert critiquing systems: practical and theoretical frontiers
Communications of the ACM
International Journal of Man-Machine Studies
A Bayesian model of plan recognition
Artificial Intelligence
The phenotype of erroneous actions
International Journal of Man-Machine Studies
Diagnostic reasoning and planning in exploratory-corrective domains
Diagnostic reasoning and planning in exploratory-corrective domains
Journal of Artificial Intelligence in Education
Critiquing: effective decision support in time-critical domains
Critiquing: effective decision support in time-critical domains
Expert Critiquing Systems
Upholding the maxim of relevance during patient-centered activities
ANLC '94 Proceedings of the fourth conference on Applied natural language processing
A bias towards relevance: recognizing plans where goal minimization fails
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Human Plausible Reasoning for Intelligent Help
User Modeling and User-Adapted Interaction
Techniques for Plan Recognition
User Modeling and User-Adapted Interaction
TraumaTIQ: Online Decision Support for Trauma Management
IEEE Intelligent Systems
Using model checking for critiquing based on clinical guidelines
Artificial Intelligence in Medicine
Mining process execution and outcomes: position paper
BPM'07 Proceedings of the 2007 international conference on Business process management
| Hi-index | 0.00 |
The Traum-AID system is a tool for assisting physicians during themanagement of patients with severe injuries. Originally, Traum-AID wasconceived as a rule-based expert system combined with a planner.After this architecture had been implemented, we began to face theissue of how Traum-AID could communicate its plans to physicians inorder to influence their behavior and have a positive effect onpatient outcome. This paper describes Trauma-TIQ – the critiquinginterface for Traum-AID – which examines the actions thephysician intends to carry out and produces a critique in response tothose intentions. Trauma-TIQ‘s two main components are a planrecognizer that uses the context of the case to disambiguate plans,and a plan evaluator that identifies errors and calculates theirsignificance in order to determine an appropriate response. Unlikepreviously developed reminder systems, Trauma-TIQ evaluates thephysician‘s proposed plan and attempts to intervene beforeproblems occur. And unlike previous critiquing systems, it is able toprovide ongoing decision support during the planning anddelivery of care. In the context of time-critical patient managementit is, therefore, a more appropriate means of interaction.