Abstract

The high number of critical illness cases and the rising medical cost affect the number of insurance claimed. It can be a problem for the insurance company in estimating future claim trend to decide the risk premium cost, so that we need a method to solve the problem which is called Empirical Bayes Credibility Theory (EBCT). Based on that information, the goal of this research is estimating the risk premium cost for critical illness cases using EBCT method. In this research, a large simulation of the expected claim data of critical illness policyholders is used, which are grouped by age and gender. In processing data by applying the EBCT method, the credibility factor is determined first, then the size of the risk premium can be estimated, with the calculation results obtained by a different estimate of the risk premium for each age group based on gender.

Highlights

  • the rising medical cost affect the number of insurance claimed

  • It can be a problem for the insurance company in estimating future claim trend to decide the risk premium cost

  • which are grouped by age and gender

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Summary

PENDAHULUAN

Menurut data WHO (2013), penyakit kritis seperti penyakit jantung, kanker, dan stroke adalah penyebab kematian utama didunia. Terdapat banyak jenis metode dengan berbagai tingkat kompleksitas telah dikembangkan untuk dapat digunakan dalam mengestimasi harga premi di masa depan, salah satunya Empirical Bayes Credibility Theory. Pada penelitian tersebut hasil estimasi harga premi risiko digunakan untuk memberikan gambaran bagi perusahaan asuransi terkait cadangan yang perlu disiapkan perusahaan asuransi dalam mengantisipasi kemungkinan klaim yang lebih banyak. Penelitian yang dilakukan oleh Sukono et al (2017) tersebut dikhususkan untuk memberikan estimasi harga premi risiko asuransi jiwa pada pasien penyakit kanker dengan menggunakan data yang disimulasikan. Berdasarkan uraian diatas serta penelitianpenelitian terdahulu, penulis tertarik melakukan penelitian yang bertujuan untuk menentukan serta menginterpretasi estimasi premi risiko yang harus dibayarkan kepada perusahaan asuransi dengan menggunakan metode EBCT

METODE PENELITIAN
HASIL DAN PEMBAHASAN
Kesimpulan
A Health Care Data Warehouse For Cancer
Full Text
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