Querying Clinical Workflows by Temporal Similarity

Authors:
Carlo Combi;Matteo Gozzi;Jose M. Juarez;Roque Marin;Barbara Oliboni
Affiliations:
Department of Computer Science --- University of Verona, Italy;Department of Computer Science --- University of Verona, Italy;Dept. of Information and Communication Engineering --- Universidad de Murcia, Spain;Dept. of Information and Communication Engineering --- Universidad de Murcia, Spain;Department of Computer Science --- University of Verona, Italy
Venue:
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
Year:
2007

Citing 4
Cited 2

Temporal reasoning based on semi-intervals

Artificial Intelligence
Maintaining knowledge about temporal intervals

Communications of the ACM
Visualizing queries on databases of temporal histories: new metaphors and their evaluation

Data & Knowledge Engineering - Special issue: Temporal representation and reasoning
Similarity between Event Types in Sequences

DaWaK '99 Proceedings of the First International Conference on Data Warehousing and Knowledge Discovery

Quality Checking of Medical Guidelines Using Interval Temporal Logics: A Case-Study

IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part II: Bioinspired Applications in Artificial and Natural Computation
A graph distance based metric for data oriented workflow retrieval with variable time constraints

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

The degree of fulfillment of clinical guidelines is considered a key factor when evaluating the quality of a clinical service. Guidelines can be seen as processes describing the sequence of activities to be done. Consequently, workflow formalisms seem to be a valid approach to model the flow of actions in the guideline and their temporal aspects. The application of a guideline to a specific patient (guideline instance) can be modeled by means of a workflow case. The best (worst) application of a guideline, represented as a reference workflow case, can be used to evaluate the quality of the service, by comparing the optimal case with specific patient instances. On the other hand, the correct application of a guideline to a patient involves the fulfillment of the guideline temporal constraints. Thus, the evaluation of the temporal similarity degree between different workflow cases is a key aspect in evaluating health care quality. In this work, we represent a portion of the stroke guideline using a temporal workflow schema and we propose a method to evaluate the temporal similarity between workflow cases. Our proposal, based on temporal constraint networks, consists of a linear combination of functions to differentiate intra-task and inter-task temporal distances.