Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Modelling clinical goals: a corpus of examples and a tentative ontology

Fox, J., Alabassi, A., Black, E., Hurt, Chris Nicholas ORCID: https://orcid.org/0000-0003-1206-8355 and Rose, T. 2004. Modelling clinical goals: a corpus of examples and a tentative ontology. Kaiser, Katharina, Miksch, Silvia and Tu, Samson W., eds. Computer-based Support for Clinical Guidelines and Protocols, Vol. 101. Studies in Health Technology and Informatics, IOS Press, pp. 31-45. (10.3233/978-1-60750-944-8-31)

Full text not available from this repository.

Abstract

Knowledge of clinical goals and the means to achieve them are either not represented in most current guideline representation systems or are encoded procedurally (e.g. as clinical algorithms, condition-action rules). There would be a number of major benefits if guideline enactment systems could reason explicitly about clinical objectives (e.g. whether a goal has been successfully achieved or not, whether it is consistent with prevailing conditions, or how the system should adapt to circumstances where a recommended action has failed to achieve the intended result). Our own guideline specification language, PROforma, includes a simple goal construct to address this need, but the interpretation is unsatisfactory in current enactment engines, and goals have yet to be included in the language semantics. This paper discusses some of the challenges involved in developing an explicit, declarative formalism for goals. As part of this, we report on a study we have undertaken which has identified over 200 goals in the routine management of breast cancer, and outline a tentative formal structure for this corpus.

Item Type: Book Section
Status: Published
Schools: Biosciences
Medicine
Publisher: IOS Press
Last Modified: 01 Nov 2022 10:06
URI: https://orca.cardiff.ac.uk/id/eprint/90242

Citation Data

Cited 10 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item