Insurance Claim Processing Using RPA Along With Chatbot

Author(s):  
Divyang Oza ◽  
Dhruv Padhiyar ◽  
Viraj Doshi ◽  
Sunita Patil
Keyword(s):  
2009 ◽  
Vol 40 (1) ◽  
pp. 32
Author(s):  
JOSEPH S. EASTERN
Keyword(s):  

2021 ◽  
pp. 1-17
Author(s):  
Sen Hu ◽  
T. Brendan Murphy ◽  
Adrian O’Hagan

Abstract The mvClaim package in R provides flexible modelling frameworks for multivariate insurance claim severity modelling. The current version of the package implements a parsimonious mixture of experts (MoE) model family with bivariate gamma distributions, as introduced in Hu et al., and a finite mixture of copula regressions within the MoE framework as in Hu & O’Hagan. This paper presents the modelling approach theory briefly and the usage of the models in the package in detail. This package is hosted on GitHub at https://github.com/senhu/.


2001 ◽  
Vol 28 (5) ◽  
pp. 804-812 ◽  
Author(s):  
Paul de Leur ◽  
Tarek Sayed

Road safety analysis is typically undertaken using traffic collision data. However, the collision data often suffer from quality and reliability problems. These problems can inhibit the ability of road safety engineers to evaluate and analyze road safety performance. An alternate source of data that characterize the events of a traffic collision is the records that become available from an auto insurance claim. In settling an auto insurance claim, a claim adjuster must make an assessment and determination of the circumstances of the event, recording important contributing factors that led to the crash occurrence. As such, there is an opportunity to access and use the claims data in road safety engineering analysis. This paper presents the results of an initial attempt to use auto insurance claims records in road safety evaluation by developing and applying a claim prediction model. The prediction model will provide an estimate of the number of auto insurance claims that can be expected at signalized intersections in the Vancouver area of British Columbia, Canada. A discussion of the usefulness and application of the claim prediction model will be provided together with a recommendation on how the claims data could be utilized in the future.Key words: road safety improvement programs, auto insurance claims, road safety analysis, prediction models.


1962 ◽  
Vol 2 (1) ◽  
pp. 152-160 ◽  
Author(s):  
Norton E. Masterson

In his comprehensive paper entitled “A General Survey of Problems Involved in Motor Insurance”, Dr. Carl Philipson includes remarks with respect to mathematical reserves. The purpose of this paper is to discuss a method of statistical estimation of Third Party Motor Insurance claim reserves. These methods can also be used for Car Damage Insurance, since reserve determination for these rapid settlement property coverages is simpler than for Third Party lines.Dr. Philipson mentions the two main purposes of claim reservesbalance sheet loss reserves which shall be estimated on the safe side for financial reasons, and those reserves needed for risk statistics. In this paper I shall confine my subject to aggregate loss reserves for financial statements and internal management operating reports.In this paper, it will be convenient to refer to both European and U.S. terminology for Motor Car and Automobile Insurance.The comparable terms are:The accident year is the important fiscal period underlying not only the statistical estimation methods discussed in this paper but it is also the basic grouping of accidents in the official reserve tests required in the Annual Statements of U.S. companies for casualty and property lines. An accident year embraces the entire population of claims incurred with accident dates in a particular calendar year, whether reported to the company in that year or subsequently (i.e., incurred /not reported).


2017 ◽  
Vol 1 (2) ◽  
pp. 139
Author(s):  
M. Lutfillah Habibi ◽  
Ana Toni Roby Candra Yudha

This study aims to build a model of sharia life insurance in Indonesia. A model that combines the functions of Takaful institutions (Sharia Insurance) with Indonesian Waqf Institutions to generate insurance benefits directly and indirectly to policyholders. The method used in this research using descriptive qualitative method with case study strategy about operational of Takaful which is compared with some literature of Al Qur'an and Hadith. The data were obtained from in-depth interview technique, book and literature as well as Hadith commentary study. The results of this study indicate that with the application of ITW model, the insurance claim of the deceased policyholder will be given to the heirs in the form of death funds, in addition to these benefits, the recipients of the policy are also indirectly get the good deeds of some of the funds invested into the waqf institutions. On the application of such a model, the owner of the life insurance policy gets worldly benefits and ukhrowi, namely the claim of death funds and the good deed of the investment of some premium funds to Waqf Institution.


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