Toward interactive scheduling systems for managing medical resources.
a. Oddi, and a. Cesta. Artificial intelligence in medicine, 20 (2):
113--38(October 2000)
Abstract
Managers of medico-hospital facilities are facing two general problems when allocating resources to activities: (1) to find an agreement between several and contrasting requirements; (2) to manage dynamic and uncertain situations when constraints suddenly change over time due to medical needs. This paper describes the results of a research aimed at applying constraint-based scheduling techniques to the management of medical resources. A mixed-initiative problem solving approach is adopted in which a user and a decision support system interact to incrementally achieve a satisfactory solution to the problem. A running prototype is described called Interactive Scheduler which offers a set of functionalities for a mixed-initiative interaction to cope with the medical resource management. Interactive Scheduler is endowed with a representation schema used for describing the medical environment, a set of algorithms that address the specific problems of the domain, and an innovative interaction module that offers functionalities for the dialogue between the support system and its user. A particular contribution of this work is the explicit representation of constraint violations, and the definition of scheduling algorithms that aim at minimizing the amount of constraint violations in a solution.
%0 Journal Article
%1 Oddi2000
%A Oddi, a
%A Cesta, a
%D 2000
%J Artificial intelligence in medicine
%K Administration,Hospital Administration: Algorithms,Decision Care Management,Health Rationing,Hospital Support Systems, economics,Humans
%N 2
%P 113--38
%T Toward interactive scheduling systems for managing medical resources.
%U http://www.ncbi.nlm.nih.gov/pubmed/10936749
%V 20
%X Managers of medico-hospital facilities are facing two general problems when allocating resources to activities: (1) to find an agreement between several and contrasting requirements; (2) to manage dynamic and uncertain situations when constraints suddenly change over time due to medical needs. This paper describes the results of a research aimed at applying constraint-based scheduling techniques to the management of medical resources. A mixed-initiative problem solving approach is adopted in which a user and a decision support system interact to incrementally achieve a satisfactory solution to the problem. A running prototype is described called Interactive Scheduler which offers a set of functionalities for a mixed-initiative interaction to cope with the medical resource management. Interactive Scheduler is endowed with a representation schema used for describing the medical environment, a set of algorithms that address the specific problems of the domain, and an innovative interaction module that offers functionalities for the dialogue between the support system and its user. A particular contribution of this work is the explicit representation of constraint violations, and the definition of scheduling algorithms that aim at minimizing the amount of constraint violations in a solution.
@article{Oddi2000,
abstract = {Managers of medico-hospital facilities are facing two general problems when allocating resources to activities: (1) to find an agreement between several and contrasting requirements; (2) to manage dynamic and uncertain situations when constraints suddenly change over time due to medical needs. This paper describes the results of a research aimed at applying constraint-based scheduling techniques to the management of medical resources. A mixed-initiative problem solving approach is adopted in which a user and a decision support system interact to incrementally achieve a satisfactory solution to the problem. A running prototype is described called Interactive Scheduler which offers a set of functionalities for a mixed-initiative interaction to cope with the medical resource management. Interactive Scheduler is endowed with a representation schema used for describing the medical environment, a set of algorithms that address the specific problems of the domain, and an innovative interaction module that offers functionalities for the dialogue between the support system and its user. A particular contribution of this work is the explicit representation of constraint violations, and the definition of scheduling algorithms that aim at minimizing the amount of constraint violations in a solution.},
added-at = {2012-02-27T06:11:36.000+0100},
author = {Oddi, a and Cesta, a},
biburl = {https://www.bibsonomy.org/bibtex/255bfe3ee3b99c1a37690b12cc725d7aa/kamil205},
file = {:Users/Miguel/Dropbox/Escola/Artigos/Oddi, Cesta\_2000\_Toward interactive scheduling systems for managing medical resources.pdf:pdf},
interhash = {09291d21c1e03a0569ce490ac4ee4961},
intrahash = {55bfe3ee3b99c1a37690b12cc725d7aa},
issn = {0933-3657},
journal = {Artificial intelligence in medicine},
keywords = {Administration,Hospital Administration: Algorithms,Decision Care Management,Health Rationing,Hospital Support Systems, economics,Humans},
month = oct,
number = 2,
pages = {113--38},
pmid = {10936749},
timestamp = {2012-02-27T06:11:45.000+0100},
title = {{Toward interactive scheduling systems for managing medical resources.}},
url = {http://www.ncbi.nlm.nih.gov/pubmed/10936749},
volume = 20,
year = 2000
}