Using insurance claims to predict and improve hospitalizations and biologics use in members with inflammatory bowel diseases.
J Biomed Inform
; 81: 93-101, 2018 05.
Article
em En
| MEDLINE
| ID: mdl-29625187
ABSTRACT
OBJECTIVE:
Inflammatory Bowel Disease (IBD) is an inflammatory disorder of the gastrointestinal tract that can necessitate hospitalization and the use of expensive biologics. Models predicting these interventions may improve patient quality of life and reduce expenditures. MATERIALS ANDMETHODS:
We used insurance claims from 2011 to 2013 to predict IBD-related hospitalizations and the initiation of biologics. We derived and optimized our model from a 2011 training set of 7771 members, predicting their outcomes the following year. The best-performing model was then applied to a 2012 validation set of 7450 members to predict their outcomes in 2013.RESULTS:
Our models predicted both IBD-related hospitalizations and the initiation of biologics, with average positive predictive values of 17% and 11%, respectively - each a 200% improvement over chance. Further, when we used topic modeling to identify four member subpopulations, the positive predictive value of predicting hospitalization increased to 20%.DISCUSSION:
We show that our hospitalization model, in concert with a mildly-effective interventional treatment plan for members identified as high-risk, may both improve patient outcomes and reduce insurance expenditures.CONCLUSION:
The success of our approach provides a roadmap for how claims data can complement traditional medical decision making with personalized, data-driven predictive medicine.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Produtos Biológicos
/
Revisão da Utilização de Seguros
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Colite Ulcerativa
/
Doença de Crohn
/
Hospitalização
/
Seguro Saúde
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Adult
/
Humans
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article