Participatory design for drug-drug interaction alerts

Autores
Luna, Daniel Roberto; Otero, Carlos Martin; Almerares, Alfredo; Stanziola, Enrique Luis; Risk, Marcelo; González Bernaldo De Quirós, Fernán
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The utilization of decision support systems, in the point of care, to alert drug-drug interactions has been shown to improve quality of care. Still, the use of these systems has not been as expected, it is believed, because of the difficulties in their knowledge databases; errors in the generation of the alerts and the lack of a suitable design. This study expands on the development of alerts using participatory design techniques based on user centered design process. This work was undertaken in three stages (inquiry, participatory design and usability testing) it showed that the use of these techniques improves satisfaction, effectiveness and efficiency in an alert system for drug-drug interactions, a fact that was evident in specific situations such as the decrease of errors to meet the specified task, the time, the workload optimization and users overall satisfaction in the system.
Fil: Luna, Daniel Roberto. Instituto Tecnologico de Buenos Aires. Departamento de Investigacion y Doctorado.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires; Argentina
Fil: Otero, Carlos Martin. Instituto Tecnológico de Buenos Aires; Argentina. Hospital Italiano. Departamento de Informática En Salud.; Argentina
Fil: Almerares, Alfredo. Hospital Italiano. Departamento de Informática En Salud.; Argentina. University of Oregon; Estados Unidos
Fil: Stanziola, Enrique Luis. Hospital Italiano. Departamento de Informática En Salud.; Argentina
Fil: Risk, Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Oregon Health And Science University; . Instituto Tecnologico de Buenos Aires. Departamento de Investigacion y Doctorado.; Argentina
Fil: González Bernaldo De Quirós, Fernán. Hospital Italiano. Departamento de Informática En Salud.; Argentina
Materia
DECISION SUPPORT SYSTEMS
DRUG-DRUG INTERACTION
HUMAN COMPUTER INTERACTION
USABILITY
USER CENTERED DESIGN
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/107704
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Participatory design for drug-drug interaction alertsLuna, Daniel RobertoOtero, Carlos MartinAlmerares, AlfredoStanziola, Enrique LuisRisk, MarceloGonzález Bernaldo De Quirós, FernánDECISION SUPPORT SYSTEMSDRUG-DRUG INTERACTIONHUMAN COMPUTER INTERACTIONUSABILITYUSER CENTERED DESIGNhttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3The utilization of decision support systems, in the point of care, to alert drug-drug interactions has been shown to improve quality of care. Still, the use of these systems has not been as expected, it is believed, because of the difficulties in their knowledge databases; errors in the generation of the alerts and the lack of a suitable design. This study expands on the development of alerts using participatory design techniques based on user centered design process. This work was undertaken in three stages (inquiry, participatory design and usability testing) it showed that the use of these techniques improves satisfaction, effectiveness and efficiency in an alert system for drug-drug interactions, a fact that was evident in specific situations such as the decrease of errors to meet the specified task, the time, the workload optimization and users overall satisfaction in the system.Fil: Luna, Daniel Roberto. Instituto Tecnologico de Buenos Aires. Departamento de Investigacion y Doctorado.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires; ArgentinaFil: Otero, Carlos Martin. Instituto Tecnológico de Buenos Aires; Argentina. Hospital Italiano. Departamento de Informática En Salud.; ArgentinaFil: Almerares, Alfredo. Hospital Italiano. Departamento de Informática En Salud.; Argentina. University of Oregon; Estados UnidosFil: Stanziola, Enrique Luis. Hospital Italiano. Departamento de Informática En Salud.; ArgentinaFil: Risk, Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Oregon Health And Science University; . Instituto Tecnologico de Buenos Aires. Departamento de Investigacion y Doctorado.; ArgentinaFil: González Bernaldo De Quirós, Fernán. Hospital Italiano. Departamento de Informática En Salud.; ArgentinaIOS Press2015-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/107704Luna, Daniel Roberto; Otero, Carlos Martin; Almerares, Alfredo; Stanziola, Enrique Luis; Risk, Marcelo; et al.; Participatory design for drug-drug interaction alerts; IOS Press; Studies in Health Technology and Informatics; 210; 1-2015; 45-490926-9630CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.3233/978-1-61499-512-8-45info:eu-repo/semantics/altIdentifier/url/http://ebooks.iospress.nl/publication/39293info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:08:39Zoai:ri.conicet.gov.ar:11336/107704instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 15:08:39.425CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Participatory design for drug-drug interaction alerts
title Participatory design for drug-drug interaction alerts
spellingShingle Participatory design for drug-drug interaction alerts
Luna, Daniel Roberto
DECISION SUPPORT SYSTEMS
DRUG-DRUG INTERACTION
HUMAN COMPUTER INTERACTION
USABILITY
USER CENTERED DESIGN
title_short Participatory design for drug-drug interaction alerts
title_full Participatory design for drug-drug interaction alerts
title_fullStr Participatory design for drug-drug interaction alerts
title_full_unstemmed Participatory design for drug-drug interaction alerts
title_sort Participatory design for drug-drug interaction alerts
dc.creator.none.fl_str_mv Luna, Daniel Roberto
Otero, Carlos Martin
Almerares, Alfredo
Stanziola, Enrique Luis
Risk, Marcelo
González Bernaldo De Quirós, Fernán
author Luna, Daniel Roberto
author_facet Luna, Daniel Roberto
Otero, Carlos Martin
Almerares, Alfredo
Stanziola, Enrique Luis
Risk, Marcelo
González Bernaldo De Quirós, Fernán
author_role author
author2 Otero, Carlos Martin
Almerares, Alfredo
Stanziola, Enrique Luis
Risk, Marcelo
González Bernaldo De Quirós, Fernán
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv DECISION SUPPORT SYSTEMS
DRUG-DRUG INTERACTION
HUMAN COMPUTER INTERACTION
USABILITY
USER CENTERED DESIGN
topic DECISION SUPPORT SYSTEMS
DRUG-DRUG INTERACTION
HUMAN COMPUTER INTERACTION
USABILITY
USER CENTERED DESIGN
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.3
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv The utilization of decision support systems, in the point of care, to alert drug-drug interactions has been shown to improve quality of care. Still, the use of these systems has not been as expected, it is believed, because of the difficulties in their knowledge databases; errors in the generation of the alerts and the lack of a suitable design. This study expands on the development of alerts using participatory design techniques based on user centered design process. This work was undertaken in three stages (inquiry, participatory design and usability testing) it showed that the use of these techniques improves satisfaction, effectiveness and efficiency in an alert system for drug-drug interactions, a fact that was evident in specific situations such as the decrease of errors to meet the specified task, the time, the workload optimization and users overall satisfaction in the system.
Fil: Luna, Daniel Roberto. Instituto Tecnologico de Buenos Aires. Departamento de Investigacion y Doctorado.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires; Argentina
Fil: Otero, Carlos Martin. Instituto Tecnológico de Buenos Aires; Argentina. Hospital Italiano. Departamento de Informática En Salud.; Argentina
Fil: Almerares, Alfredo. Hospital Italiano. Departamento de Informática En Salud.; Argentina. University of Oregon; Estados Unidos
Fil: Stanziola, Enrique Luis. Hospital Italiano. Departamento de Informática En Salud.; Argentina
Fil: Risk, Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Oregon Health And Science University; . Instituto Tecnologico de Buenos Aires. Departamento de Investigacion y Doctorado.; Argentina
Fil: González Bernaldo De Quirós, Fernán. Hospital Italiano. Departamento de Informática En Salud.; Argentina
description The utilization of decision support systems, in the point of care, to alert drug-drug interactions has been shown to improve quality of care. Still, the use of these systems has not been as expected, it is believed, because of the difficulties in their knowledge databases; errors in the generation of the alerts and the lack of a suitable design. This study expands on the development of alerts using participatory design techniques based on user centered design process. This work was undertaken in three stages (inquiry, participatory design and usability testing) it showed that the use of these techniques improves satisfaction, effectiveness and efficiency in an alert system for drug-drug interactions, a fact that was evident in specific situations such as the decrease of errors to meet the specified task, the time, the workload optimization and users overall satisfaction in the system.
publishDate 2015
dc.date.none.fl_str_mv 2015-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/107704
Luna, Daniel Roberto; Otero, Carlos Martin; Almerares, Alfredo; Stanziola, Enrique Luis; Risk, Marcelo; et al.; Participatory design for drug-drug interaction alerts; IOS Press; Studies in Health Technology and Informatics; 210; 1-2015; 45-49
0926-9630
CONICET Digital
CONICET
url http://hdl.handle.net/11336/107704
identifier_str_mv Luna, Daniel Roberto; Otero, Carlos Martin; Almerares, Alfredo; Stanziola, Enrique Luis; Risk, Marcelo; et al.; Participatory design for drug-drug interaction alerts; IOS Press; Studies in Health Technology and Informatics; 210; 1-2015; 45-49
0926-9630
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.3233/978-1-61499-512-8-45
info:eu-repo/semantics/altIdentifier/url/http://ebooks.iospress.nl/publication/39293
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv IOS Press
publisher.none.fl_str_mv IOS Press
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846083233353039872
score 13.22299

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