Quality in Hospital Administrative Databases

Detalhes bibliográficos
Autor(a) principal: Freitas, Alberto
Data de Publicação: 2014
Outros Autores: Gaspar, Juliano, Rocha, Nuno, Marreiros, Goreti, Costa-Pereira, Altamiro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/5253
Resumo: The clinical content of administrative databases includes, among others, patient demographic characteristics, and codes for diagnoses and procedures. The data in these databases is standardized, clearly defined, readily available, less expensive than collected by other means, and normally covers hospitalizations in entire geographic areas. Although with some limitations, this data is often used to evaluate the quality of healthcare. Under these circumstances, the quality of the data, for instance, errors, or it completeness, is of central importance and should never be ignored. Both the minimization of data quality problems and a deep knowledge about this data (e.g., how to select a patient group) are important for users in order to trust and to correctly interpret results. In this paper we present, discuss and give some recommendations for some problems found in these administrative databases. We also present a simple tool that can be used to screen the quality of data through the use of domain specific data quality indicators. These indicators can significantly contribute to better data, to give steps towards a continuous increase of data quality and, certainly, to better informed decision-making.
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spelling Quality in Hospital Administrative DatabasesAdministrative dataHospital information systemsData qualityData quality problemsMeasuring performanceBusiness intelligenceInternational classification of diseasesThe clinical content of administrative databases includes, among others, patient demographic characteristics, and codes for diagnoses and procedures. The data in these databases is standardized, clearly defined, readily available, less expensive than collected by other means, and normally covers hospitalizations in entire geographic areas. Although with some limitations, this data is often used to evaluate the quality of healthcare. Under these circumstances, the quality of the data, for instance, errors, or it completeness, is of central importance and should never be ignored. Both the minimization of data quality problems and a deep knowledge about this data (e.g., how to select a patient group) are important for users in order to trust and to correctly interpret results. In this paper we present, discuss and give some recommendations for some problems found in these administrative databases. We also present a simple tool that can be used to screen the quality of data through the use of domain specific data quality indicators. These indicators can significantly contribute to better data, to give steps towards a continuous increase of data quality and, certainly, to better informed decision-making.Natural Sciences PublihingRepositório Científico do Instituto Politécnico do PortoFreitas, AlbertoGaspar, JulianoRocha, NunoMarreiros, GoretiCosta-Pereira, Altamiro2014-12-09T16:39:27Z20142014-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/5253eng1935-009010.12785/amis/081L01metadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T12:45:16Zoai:recipp.ipp.pt:10400.22/5253Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:25:56.568888Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Quality in Hospital Administrative Databases
title Quality in Hospital Administrative Databases
spellingShingle Quality in Hospital Administrative Databases
Freitas, Alberto
Administrative data
Hospital information systems
Data quality
Data quality problems
Measuring performance
Business intelligence
International classification of diseases
title_short Quality in Hospital Administrative Databases
title_full Quality in Hospital Administrative Databases
title_fullStr Quality in Hospital Administrative Databases
title_full_unstemmed Quality in Hospital Administrative Databases
title_sort Quality in Hospital Administrative Databases
author Freitas, Alberto
author_facet Freitas, Alberto
Gaspar, Juliano
Rocha, Nuno
Marreiros, Goreti
Costa-Pereira, Altamiro
author_role author
author2 Gaspar, Juliano
Rocha, Nuno
Marreiros, Goreti
Costa-Pereira, Altamiro
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Freitas, Alberto
Gaspar, Juliano
Rocha, Nuno
Marreiros, Goreti
Costa-Pereira, Altamiro
dc.subject.por.fl_str_mv Administrative data
Hospital information systems
Data quality
Data quality problems
Measuring performance
Business intelligence
International classification of diseases
topic Administrative data
Hospital information systems
Data quality
Data quality problems
Measuring performance
Business intelligence
International classification of diseases
description The clinical content of administrative databases includes, among others, patient demographic characteristics, and codes for diagnoses and procedures. The data in these databases is standardized, clearly defined, readily available, less expensive than collected by other means, and normally covers hospitalizations in entire geographic areas. Although with some limitations, this data is often used to evaluate the quality of healthcare. Under these circumstances, the quality of the data, for instance, errors, or it completeness, is of central importance and should never be ignored. Both the minimization of data quality problems and a deep knowledge about this data (e.g., how to select a patient group) are important for users in order to trust and to correctly interpret results. In this paper we present, discuss and give some recommendations for some problems found in these administrative databases. We also present a simple tool that can be used to screen the quality of data through the use of domain specific data quality indicators. These indicators can significantly contribute to better data, to give steps towards a continuous increase of data quality and, certainly, to better informed decision-making.
publishDate 2014
dc.date.none.fl_str_mv 2014-12-09T16:39:27Z
2014
2014-01-01T00:00:00Z
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dc.relation.none.fl_str_mv 1935-0090
10.12785/amis/081L01
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publisher.none.fl_str_mv Natural Sciences Publihing
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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