Enhancing Financial Performance: An Application of Lean Six Sigma to Reduce Insurance Claim Denials
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DOI: 10.1097/qmh.0000000000000175
Abstract: Health systems typically lose approximately 3% to 5% of net revenues annually due to insurance claim denials. While most denials can be appealed, the administrative burden of sorting through and appealing them can be time… read more here.
Keywords: six sigma; lean six; insurance claim; insurance ... See more keywords
Health insurance claim‐ and prescription record‐based algorithms as a population‐based method for eczema ascertainment
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DOI: 10.1111/jdv.16315
Abstract: Eczema (atopic eczema) is a common, chronic and recurrent inflammatory skin disease affecting 10-15% of the population. A limited Canadian study based on a small survey sample reported that the annual cost of eczema is… read more here.
Keywords: claim prescription; prescription record; insurance claim; health insurance ... See more keywords
Application of Deep Learning and Neural Network to Speeding Ticket and Insurance Claim Count Data
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DOI: 10.3390/axioms11060280
Abstract: With the popularity of big data analysis with insurance claim count data, diverse regression models for count response variable have been developed. However, there is a multicollinearlity issue with multivariate input variables to the count… read more here.
Keywords: deep learning; count data; insurance claim; claim count ... See more keywords
The Socio-Economic Cost of Diabetes Mellitus in Korea Using National Health Insurance Claim Data, 2017
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DOI: 10.3390/healthcare10091601
Abstract: (1) Purpose: As the economy develops and lifestyles become more westernized, diabetes is on the rise in Korea. This study tried to measure the socio-economic cost of diabetes by estimating the direct medical expenses and… read more here.
Keywords: socio economic; cost; insurance claim; diabetes mellitus ... See more keywords