Health insurance risk assessment using cognitive mapping and multiple‐criteria decision analysis

Fernandes, Hugo E. M.; Ferreira, Fernando

doi:10.1111/itor.12895

Cited by 6 publications

(3 citation statements)

References 77 publications

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“…In 2 × D, the facilitator starts by presenting and discussing an initial list of objectives with the panel, followed by groupwork to separate "means" from "ends"-by questioning the panel about why objectives in the list are important-until the fundamental objectives emerge. This activity can be facilitated by using collaborative groupwork methods (e.g., 6-3-5 brainwriting;Rhorbach, 1969) and problem structuring interaction protocols to construct group cognitive and oval maps (Ackermann et al, 2001;Eden, 2004), improving individual knowledge and developing a shared group understanding of the key objectives (as done, e.g., in Bana e Costa et al, 1999Costa et al, , 2006Fernandes and Ferreira, 2023).…”

Section: Activity I1 Identifying Fundamental Objectives and Describin...mentioning

confidence: 99%

Desirability–doability group judgment framework for the collaborative multicriteria evaluation of public policies

Costa

Oliveira

Rodrigues

et al. 2023

Int Trans Operational Res

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Desirability-doability framework (2 × D) is a novel framework for the collaborative evaluation of public policies. Fundamental objectives and performance indicators are agreed upon in workshops, policies are characterised, and barriers to implementation identified. MACBETH interactive protocols are then applied in decision conferences to elicit qualitative judgments about the desirability of policies, within and across objectives; and about their doability under the expected graveness of barriers on contrasting scenarios. Elicited judgments allow, respectively, to construct a shared multicriteria model measuring the overall desirability of policies; and, to measure their doability. Desirability-doability graphs enable visual interactive classification of policies, with sensitivity/robustness analyses of uncertainties. 2 × D was successfully tested in a real-world urban-health policymaking case to evaluate spatial policies. The main novelty of 2 × D is that it bridges the socio-technical gap, present in OR, between the support required by a complex social decision-making process, and that usually offered by analytic techniques -while keeping modeling theoretically sound and simple.

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Section: Activity I1 Identifying Fundamental Objectives and Describin...mentioning

confidence: 99%

Desirability–doability group judgment framework for the collaborative multicriteria evaluation of public policies

Costa

Oliveira

Rodrigues

et al. 2023

Int Trans Operational Res

View full text Add to dashboard Cite

show abstract

“…In addition, Tartarini et al have quantifed insurance risk and conducted empirical research on frost and dry heat damage to barley and soft and hard wheat in two regions of Italy to verify the evaluation index's reliability [24]. Fernandes-Hugo amd Ferreira-Fernando measured health insurance risk assessment using cognitive mapping and multicriteria decision analysis and combined cognitive mapping and the measurement of attractiveness to construct a unique nonparametric decision support system for the risk analysis of individual private health insurance [25]. Su and Yu proposed a novel method to estimate the Gerger-Shiu function in classical insurance risk models based on the expansion of the Laguerre series regarding sample claim settlement number and magnitude and verifed that the estimator tends towards a normal distribution.…”

Section: Literature Reviewmentioning

confidence: 99%

Research on a Model for an Empirical Analysis of Inherent Defect Insurance Based on Ruin Theory

Yan,

Chen,

Wang

et al. 2023

Discrete Dynamics in Nature and Society

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The system of inherent defect insurance is an important measure to serve the real economy through financial means and improve the quality of construction projects, which is the future development direction of China’s construction industry. However, the related research is not perfect due to the short implementation of the insurance. This could bring risks to the promotion of insurance for companies. Insurance ruin theory is an important method in risk management theory, so adopting it to manage the risk inherent defect insurance from the perspective of insurance companies is vital. The research starts with the classic insurance ruin theory and determines the coefficient of premium collection from the perspective of claim settlement distribution expectations. Furthermore, the approximate distribution of claim settlement is deduced, and a comprehensive risk assessment model is constructed. Finally, based on the data of insurance actuarial practice in Shanghai, both the ruin probability of inherent defect insurance in each insuring term and its average required initial reserve are calculated, which provides the analyses on the risks and main subitems of inherent defect insurance as well as relevant suggestions. Finally, the sensitivity analysis is used to further analyse the risk of different insurance stages of IDI, and the relevant measures are proposed. The research can provide theoretical assistances for insurance companies to carry out effective risk management and provide model tools to make scientific decisions.

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“…Regarding health care issues, but in the context of insurance risk assessment, Fernandes and Ferreira (2020) used another MCDM/A method and constructed a DSS to calculated health insurance risk rewards. Also, in the context of public security, Velasco et al.…”

Section: Literature Reviewmentioning

confidence: 99%

The use of the success‐based decision rule to support the holistic evaluation process in FITradeoff

Roselli

Almeida

2021

Int Trans Operational Res

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The flexible and interactive tradeoff (FITradeoff) method is a multi-criteria decision-making/aiding (MCDM/A) method in the context of the multi-attribute value theory. The implementation of the FITradeoff method is supported by a decision support system (DSS), which includes an elicitation procedure for scaling constants with the flexibility of including a holistic evaluation. The holistic evaluation has graphics that can be used to assist decision-makers (DMs) during the FITradeoff decision process. In this context, three neuroscience experiments have been conducted to investigate how a DM uses the graphics to evaluate an MCDM/A problem. Thus, the main contribution of this paper is to propose the success-based decision rule. Based on this rule, recommendations are made concerning the holistic evaluation. The first is that this rule can assist the analyst to advise DMs with information on the visualization's probability of success. Second, this rule suggests improvements that can be made to the design of the FITradeoff DSS.

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Health insurance risk assessment using cognitive mapping and multiple‐criteria decision analysis

Cited by 6 publications

References 77 publications

Desirability–doability group judgment framework for the collaborative multicriteria evaluation of public policies

Desirability–doability group judgment framework for the collaborative multicriteria evaluation of public policies

Research on a Model for an Empirical Analysis of Inherent Defect Insurance Based on Ruin Theory

The use of the success‐based decision rule to support the holistic evaluation process in FITradeoff

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