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1.
Stud Health Technol Inform ; 255: 55-59, 2018.
Artigo em Inglês | MEDLINE | ID: mdl-30306906

RESUMO

Data taxonomy facilitates data valuation. The origin-based data taxonomy contains four types of data (provided, observed, derived and inferred) and 10 subcategories. In this paper, we report the results of multivocal literature around the origin-based data taxonomy. The review results are used to refine the definitions of the types of data when to figure out data valuation within health care. Furthermore, we exemplify how the types of data can be recognized in health care (e.g., patient medication, alerting about risk patients, patient logistics, remote monitoring) to realize data valuation based on the proposed data taxonomy around the types of data.


Assuntos
Confiabilidade dos Dados , Atenção à Saúde , Atenção à Saúde/estatística & dados numéricos , Processamento Eletrônico de Dados , Humanos
2.
Crit Care ; 14(5): R175, 2010.
Artigo em Inglês | MEDLINE | ID: mdl-20920348

RESUMO

INTRODUCTION: The length of stay (LOS) in intensive care unit (ICU) nonsurvivors is not often reported, but represents an important indicator of the use of resources. LOS in ICU nonsurvivors may also be a marker of cultural and organizational differences between units. In this study based on the national intensive care registries in Finland, Sweden, and Norway, we aimed to report intensive care mortality and to document resource use as measured by LOS in ICU nonsurvivors. METHODS: Registry data from 53,305 ICU patients in 2006 were merged into a single database. ICU nonsurvivors were analyzed with regard to LOS within subgroups by univariate and multivariate analysis (Cox proportional hazards regression). RESULTS: Vital status at ICU discharge was available for 52,255 patients. Overall ICU mortality was 9.1%. Median LOS of the nonsurvivors was 1.3 days in Finland and Sweden, and 1.9 days in Norway. The shortest LOS of the nonsurvivors was found in patients older than 80 years, emergency medical admissions, and the patients with the highest severity of illness. Multivariate analysis confirmed the longer LOS in Norway when corrected for age group, admission category, sex, and type of hospital. LOS in nonsurvivors was found to be inversely related to the severity of illness, as measured by APACHE II and SAPS II. CONCLUSIONS: Despite cultural, religious, and educational similarities, significant variations occur in the LOS of ICU nonsurvivors among Finland, Norway, and Sweden. Overall, ICU mortality is low in the Scandinavian countries.


Assuntos
Mortalidade Hospitalar/etnologia , Mortalidade Hospitalar/tendências , Unidades de Terapia Intensiva/tendências , Tempo de Internação/tendências , Adulto , Idoso , Idoso de 80 Anos ou mais , Bases de Dados Factuais/tendências , Feminino , Finlândia/etnologia , Humanos , Masculino , Pessoa de Meia-Idade , Noruega/etnologia , Sistema de Registros , Países Escandinavos e Nórdicos/etnologia , Suécia/etnologia
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