Evaluating the accuracy of existing EMR data as predictors of follow-up providers.
J Am Med Inform Assoc
; 15(6): 787-90, 2008.
Article
em En
| MEDLINE
| ID: mdl-18755996
ABSTRACT
In order to evaluate the accuracy of existing EMR data in predicting follow-up providers, a retrospective analysis was performed on six months of data for inpatient and ED encounters occurring at two hospitals, and on related outpatient data. Sensitivity and Positive Predictive Value (PPV) were calculated for each of eight predictors, to determine their effectiveness in predicting follow-up providers. Our findings indicate that access to longitudinal patient care records can improve prediction of which providers a patient is likely to see post-discharge compared to simply using Primary Care Provider data from admissions records. Of the predictors evaluated, a patient's past appointment history was the best predictor of which providers they would see in the future (PPV = 48% following inpatient visits, 35% following emergency department visits). However, even the best performing predictors failed to predict more than half of the follow-up providers and might generate many "false" alerts.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Agendamento de Consultas
/
Sistemas Computadorizados de Registros Médicos
/
Assistência ao Convalescente
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Serviço Hospitalar de Emergência
Tipo de estudo:
Evaluation_studies
/
Observational_studies
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Prognostic_studies
/
Risk_factors_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2008
Tipo de documento:
Article