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02009nam a2200241Ia 4500 |
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10.3390-risks7020043 |
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|a 22279091 (ISSN)
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|a Treatment level and store level analyses of healthcare data
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|b MDPI AG
|c 2019
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|z View Fulltext in Publisher
|u https://doi.org/10.3390/risks7020043
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|a The presented research discusses general approaches to analyze and model healthcare data at the treatment level and at the store level. The paper consists of two parts: (1) a general analysis method for store-level product sales of an organization and (2) a treatment-level analysis method of healthcare expenditures. In the first part, our goal is to develop a modeling framework to help understand the factors influencing the sales volume of stores maintained by a healthcare organization. In the second part of the paper, we demonstrate a treatment-level approach to modeling healthcare expenditures. In this part, we aim to improve the operational-level management of a healthcare provider by predicting the total cost of medical services. From this perspective, treatment-level analyses of medical expenditures may help provide a micro-level approach to predicting the total amount of expenditures for a healthcare provider. We present a model for analyzing a specific type of medical data, which may arise commonly in a healthcare provider’s standardized database. We do this by using an extension of the frequency-severity approach to modeling insurance expenditures from the actuarial science literature. © 2019 by the author. Licensee MDPI, Basel, Switzerland.
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|a Generalized additive models
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|a Medical data analysis
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|a Predictive modeling
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|a Store sales analysis
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|a Ding, J.
|e author
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|a Esposito, E.X.
|e author
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|a Lee, G.Y.
|e author
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|a Lidwell, K.R.
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|a Manski, S.
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|a Wang, K.
|e author
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|t Risks
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