Operationalizing prostate cancer clinical pathways: An ontological model to computerize, merge and execute institution-specific clinical pathways

Samina Raza Abidi; Syed Sibte Raza Abidi; Lorna Butler; Sajjad Hussain

doi:10.1007/978-3-642-03262-2_1

Operationalizing prostate cancer clinical pathways: An ontological model to computerize, merge and execute institution-specific clinical pathways

Samina Raza Abidi, Syed Sibte Raza Abidi, Lorna Butler, Sajjad Hussain

Medicine

Producción científica: Capítulo en Libro/Reporte/Acta de conferencia › Contribución a la conferencia

10 Citas (Scopus)

Resumen

The computerization of paper-based Clinical Pathways (CP) can allow them to be operationalized as a decision-support and care planning tool at the point-of-care. We applied a knowledge management approach to computerize the prostate cancer CP for three different locations. We present a new prostate cancer CP ontology that features the novel merging of multiple CP based on the similarities of their diagnostic-treatment concepts, whilst maintaining the unique aspects of each specific CP, to realize a common unified CP model. In this paper we will highlight the main components of our prostate cancer CP ontology, and discuss the concept of CP branching and merging nodes. We conclude that our computerized CP can be executed through a logic-based engine to realize a point-of-care decision-support system for managing prostate cancer care.

Idioma original	English
Título de la publicación alojada	Knowledge Management for Health Care Procedures - ECAI 2008 Workshop, K4HelP 2008, Revised Selected Papers
Páginas	1-12
Número de páginas	12
DOI	https://doi.org/10.1007/978-3-642-03262-2_1
Estado	Published - 2009
Evento	ECAI Workshop on Knowledge Management for Health Care Procedures, K4HelP 2008 - Patras, Greece Duración: jul. 21 2008 → jul. 21 2008

Serie de la publicación

Nombre	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen	5626 LNAI
ISSN (versión impresa)	0302-9743
ISSN (versión digital)	1611-3349

Conference

Conference	ECAI Workshop on Knowledge Management for Health Care Procedures, K4HelP 2008
País/Territorio	Greece
Ciudad	Patras
Período	7/21/08 → 7/21/08

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

Acceder al documento

10.1007/978-3-642-03262-2_1

Otros archivos y enlaces

Citar esto

Abidi, S. R., Abidi, S. S. R., Butler, L., & Hussain, S. (2009). Operationalizing prostate cancer clinical pathways: An ontological model to computerize, merge and execute institution-specific clinical pathways. En Knowledge Management for Health Care Procedures - ECAI 2008 Workshop, K4HelP 2008, Revised Selected Papers (pp. 1-12). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5626 LNAI). https://doi.org/10.1007/978-3-642-03262-2_1

Operationalizing prostate cancer clinical pathways: An ontological model to computerize, merge and execute institution-specific clinical pathways. / Abidi, Samina Raza; Abidi, Syed Sibte Raza; Butler, Lorna et al.
Knowledge Management for Health Care Procedures - ECAI 2008 Workshop, K4HelP 2008, Revised Selected Papers. 2009. p. 1-12 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5626 LNAI).

Producción científica: Capítulo en Libro/Reporte/Acta de conferencia › Contribución a la conferencia

Abidi, SR, Abidi, SSR, Butler, L & Hussain, S 2009, Operationalizing prostate cancer clinical pathways: An ontological model to computerize, merge and execute institution-specific clinical pathways. En Knowledge Management for Health Care Procedures - ECAI 2008 Workshop, K4HelP 2008, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5626 LNAI, pp. 1-12, ECAI Workshop on Knowledge Management for Health Care Procedures, K4HelP 2008, Patras, Greece, 7/21/08. https://doi.org/10.1007/978-3-642-03262-2_1

Abidi SR, Abidi SSR, Butler L, Hussain S. Operationalizing prostate cancer clinical pathways: An ontological model to computerize, merge and execute institution-specific clinical pathways. En Knowledge Management for Health Care Procedures - ECAI 2008 Workshop, K4HelP 2008, Revised Selected Papers. 2009. p. 1-12. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-03262-2_1

Abidi, Samina Raza ; Abidi, Syed Sibte Raza ; Butler, Lorna et al. / Operationalizing prostate cancer clinical pathways : An ontological model to computerize, merge and execute institution-specific clinical pathways. Knowledge Management for Health Care Procedures - ECAI 2008 Workshop, K4HelP 2008, Revised Selected Papers. 2009. pp. 1-12 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{3eb5405642db42ecafbe54ea73f6340f,

title = "Operationalizing prostate cancer clinical pathways: An ontological model to computerize, merge and execute institution-specific clinical pathways",

abstract = "The computerization of paper-based Clinical Pathways (CP) can allow them to be operationalized as a decision-support and care planning tool at the point-of-care. We applied a knowledge management approach to computerize the prostate cancer CP for three different locations. We present a new prostate cancer CP ontology that features the novel merging of multiple CP based on the similarities of their diagnostic-treatment concepts, whilst maintaining the unique aspects of each specific CP, to realize a common unified CP model. In this paper we will highlight the main components of our prostate cancer CP ontology, and discuss the concept of CP branching and merging nodes. We conclude that our computerized CP can be executed through a logic-based engine to realize a point-of-care decision-support system for managing prostate cancer care.",

author = "Abidi, {Samina Raza} and Abidi, {Syed Sibte Raza} and Lorna Butler and Sajjad Hussain",

year = "2009",

doi = "10.1007/978-3-642-03262-2_1",

language = "English",

isbn = "3642032613",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "1--12",

booktitle = "Knowledge Management for Health Care Procedures - ECAI 2008 Workshop, K4HelP 2008, Revised Selected Papers",

note = "ECAI Workshop on Knowledge Management for Health Care Procedures, K4HelP 2008 ; Conference date: 21-07-2008 Through 21-07-2008",

}

TY - GEN

T1 - Operationalizing prostate cancer clinical pathways

T2 - ECAI Workshop on Knowledge Management for Health Care Procedures, K4HelP 2008

AU - Abidi, Samina Raza

AU - Abidi, Syed Sibte Raza

AU - Butler, Lorna

AU - Hussain, Sajjad

PY - 2009

Y1 - 2009

N2 - The computerization of paper-based Clinical Pathways (CP) can allow them to be operationalized as a decision-support and care planning tool at the point-of-care. We applied a knowledge management approach to computerize the prostate cancer CP for three different locations. We present a new prostate cancer CP ontology that features the novel merging of multiple CP based on the similarities of their diagnostic-treatment concepts, whilst maintaining the unique aspects of each specific CP, to realize a common unified CP model. In this paper we will highlight the main components of our prostate cancer CP ontology, and discuss the concept of CP branching and merging nodes. We conclude that our computerized CP can be executed through a logic-based engine to realize a point-of-care decision-support system for managing prostate cancer care.

AB - The computerization of paper-based Clinical Pathways (CP) can allow them to be operationalized as a decision-support and care planning tool at the point-of-care. We applied a knowledge management approach to computerize the prostate cancer CP for three different locations. We present a new prostate cancer CP ontology that features the novel merging of multiple CP based on the similarities of their diagnostic-treatment concepts, whilst maintaining the unique aspects of each specific CP, to realize a common unified CP model. In this paper we will highlight the main components of our prostate cancer CP ontology, and discuss the concept of CP branching and merging nodes. We conclude that our computerized CP can be executed through a logic-based engine to realize a point-of-care decision-support system for managing prostate cancer care.

UR - http://www.scopus.com/inward/record.url?scp=70350349528&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=70350349528&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-03262-2_1

DO - 10.1007/978-3-642-03262-2_1

M3 - Conference contribution

AN - SCOPUS:70350349528

SN - 3642032613

SN - 9783642032615

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 1

EP - 12

BT - Knowledge Management for Health Care Procedures - ECAI 2008 Workshop, K4HelP 2008, Revised Selected Papers

Y2 - 21 July 2008 through 21 July 2008

ER -

Operationalizing prostate cancer clinical pathways: An ontological model to computerize, merge and execute institution-specific clinical pathways

Resumen

Serie de la publicación

Conference

ASJC Scopus Subject Areas

ODS de las Naciones Unidas

Acceder al documento

Otros archivos y enlaces

Huella

Citar esto