Compare keeping, reducing, or removing a Korean targeted cancer therapy rider using actual premiums, policy payment limits, treatment timing, recoveries, and out-of-pocket break-even points.
Every default is synthetic test data, not a market average. Only the policy wording and insurer can confirm the covered therapy, approved indication, waiting or reduction period, payment limits, and claim outcome.
Copy amounts from insurer documents prepared on the same date.
Copy amounts from insurer documents prepared on the same date.
Copy amounts from insurer documents prepared on the same date.
Copy amounts from insurer documents prepared on the same date.
Enter zero months for a non-renewing or no-increase scenario.
This is a user assumption, not an insurer renewal quote.
If the wording uses days, confirm the exact contract and treatment dates separately.
If the wording uses days, confirm the exact contract and treatment dates separately.
Use separately confirmed per-treatment estimates from the hospital, public insurer, and indemnity insurer.
Use separately confirmed per-treatment estimates from the hospital, public insurer, and indemnity insurer.
Use separately confirmed per-treatment estimates from the hospital, public insurer, and indemnity insurer.
Enter other diagnosis or treatment benefits allocated to this scenario in total.
If the wording uses days, confirm the exact contract and treatment dates separately.
Lowest-cost scenario for current inputs
No rider
Out-of-pocket cost after public and indemnity recovery
KRW 4,000,000
Treatments inside the horizon
3 treatments
Present value of household cost
KRW 7,976,172
Present value of household cost
KRW 4,557,813
Present value of household cost
KRW 1,866,076
| Metric | Keep rider | Reduce benefit | No rider |
|---|---|---|---|
| Starting monthly premium | KRW 70,000 | KRW 40,000 | KRW 0 |
| Last monthly premium inside horizon | KRW 77,000 | KRW 44,000 | KRW 0 |
| Benefit per payment | KRW 50,000,000 | KRW 30,000,000 | KRW 0 |
| Nominal premium with renewals | KRW 8,820,000 | KRW 5,040,000 | KRW 0 |
| Present value of premiums | KRW 7,976,172 | KRW 4,557,813 | KRW 0 |
| Potential benefit after timing and limits | KRW 150,000,000 | KRW 90,000,000 | KRW 0 |
| Scenario benefit after condition assumption | KRW 150,000,000 | KRW 90,000,000 | KRW 0 |
| Benefit used against modeled cost | KRW 2,000,000 | KRW 2,000,000 | KRW 0 |
| Benefit not applied to modeled treatment cost | KRW 148,000,000 | KRW 88,000,000 | KRW 0 |
| Final net out-of-pocket cost | KRW 0 | KRW 0 | KRW 2,000,000 |
| Present value of household cost | KRW 7,976,172 | KRW 4,557,813 | KRW 1,866,076 |
| Savings versus no rider | KRW -6,110,096 | KRW -2,691,737 | Not applicable |
| Break-even treatment count | 5 treatments | 4 treatments | Not applicable |
| Break-even out-of-pocket cost per treatment | KRW 6,167,304 | KRW 4,961,639 | Not applicable |
Showing 3 treatments inside the horizon.
| Treatment | Policy month | Policy year | Payment status | Existing benefit used | Keep-option potential benefit | Reduced-option potential benefit |
|---|---|---|---|---|---|---|
| 1 treatments | Month 18 | Year 2 | Payment slot | KRW 4,000,000 | KRW 50,000,000 | KRW 30,000,000 |
| 2 treatments | Month 30 | Year 3 | Payment slot | KRW 4,000,000 | KRW 50,000,000 | KRW 30,000,000 |
| 3 treatments | Month 42 | Year 4 | Payment slot | KRW 2,000,000 | KRW 50,000,000 | KRW 30,000,000 |
This is a cost comparison for an entered treatment scenario. It does not determine cancer probability, medical need, actual public or indemnity coverage, claim approval, actuarial value, or product quality.
A Korean targeted cancer therapy rider may pay a fixed benefit when treatment meets the definition in the policy wording.
A hospital description that sounds like targeted therapy does not by itself confirm a claim.
The covered treatment definition, medicine approval, treatment indication, policy dates, waiting period, reduced-benefit period, and payment limits may all matter.
The economic comparison also needs more than the face amount.
Renewal premiums, first-only or annual limits, public coverage, Korean indemnity reimbursement, other fixed benefits, and the timing of treatment can reverse the result.
This calculator places those items on one policy-month timeline and compares keeping the rider, reducing its benefit, and having no rider.
The model does not multiply benefits by a cancer probability and does not estimate an actuarially fair premium.
It assumes the treatment schedule entered by the user and compares the present value of premiums with the present value of remaining treatment cost.
Risk tolerance, family history, medical choices, income protection, and emergency savings still require a separate decision.
The sample premiums, rider benefits, renewal increase, treatment cost, recoveries, and treatment dates are deterministic test data.
They are not Korean market averages, quotes from an insurer, representative medicine prices, or recommended coverage amounts.
Replace every input with documents for the actual policy and treatment scenario.
The model applies the entered increase at each renewal cycle and reports both nominal premiums and month-end present value.
It is a user assumption rather than a prediction of the insurer’s future renewal charge.
The policy-month schedule applies waiting, reduced-benefit, first-only, once-per-policy-year, per-treatment, and total-payment limits in sequence.
The event table shows which treatments use a payment slot and which are excluded.
Public coverage and estimated indemnity reimbursement are deducted from gross cost without allowing a negative balance.
Existing fixed benefits are allocated first, followed by the new rider benefit against any remaining modeled burden.
One marker finds the first treatment count at which the rider scenario costs no more than no rider.
A second marker finds the minimum post-recovery cost per treatment for the current count and timing.
The keep and reduced scenarios share one set of payment-condition inputs in this calculator.
If reducing the benefit changes the waiting period, payment frequency, covered definition, or other terms, run the calculator separately for each contract state and compare the saved outputs.
| Rule | Calculator treatment | Wording to verify | Maximum slots for three eligible treatments |
|---|---|---|---|
| First eligible payment only | Only the first treatment after the waiting period uses a slot | First, once during the policy term | 1 |
| Once per policy year | The first eligible treatment in each twelve-month policy-year block uses a slot | Annual, each year, policy year | Up to 3 |
| Every eligible treatment | Each eligible treatment uses a slot until the entered total limit | Per treatment, each administration | Up to 3 |
A policy year is not necessarily a calendar year.
If the contract anniversary is in July, a new January does not automatically create a new annual payment slot.
The model divides policy months into twelve-month blocks, so the exact contract date and policy definition remain essential.
Each monthly premium is increased according to the entered renewal cycle and then discounted from its month-end payment date.
If the analysis horizon ends before the payment term, later premiums are excluded and a warning appears.
Nominal premium is the undiscounted sum, while present value places costs paid at different dates on one comparison date.
Public and indemnity recoveries reduce gross treatment cost but never create a negative out-of-pocket amount.
Existing fixed benefits are allocated chronologically before the new rider is applied.
Each final net burden is discounted from its treatment policy month and added to premium present value.
Post-recovery cost per treatment = max(0, gross cost − public coverage − indemnity reimbursement)
Household cost PV = premium PV + present value of treatment-level net out-of-pocket cost
Savings versus no rider = no-rider household cost PV − rider-option household cost PV
A fixed-benefit policy may pay more than the medical bill when its contractual conditions are met.
To keep this calculator focused on premium versus medical out-of-pocket break-even, the model applies only the amount needed to offset the remaining treatment burden.
Any recognized benefit above that burden appears separately and is not treated as investment profit.
The sample starts with a KRW 70,000 keep premium and a KRW 40,000 reduced premium, each increasing by ten percent after five years.
Gross cost is KRW 12 million per treatment, public coverage is KRW 6 million, and estimated indemnity reimbursement is KRW 2 million.
The post-recovery cost is therefore KRW 4 million per treatment, or KRW 12 million for three treatments.
| Scenario | Nominal premium | Premium PV | Household cost PV | Break-even treatments |
|---|---|---|---|---|
| Keep rider | KRW 8,820,000 | KRW 7,976,172 | KRW 7,976,172 | 5 |
| Reduce benefit | KRW 5,040,000 | KRW 4,557,813 | KRW 4,557,813 | 4 |
| No rider | KRW 0 | KRW 0 | KRW 1,866,076 | Not applicable |
The existing fixed benefit of KRW 10 million is used against the first KRW 10 million of modeled post-recovery cost.
Only KRW 2 million remains for the new rider to offset across the three-treatment scenario, even though the potential fixed rider benefit is much larger.
No rider is the lowest-cost default scenario, while the reduced rider breaks even at four treatments and the keep rider at five when the KRW 4 million post-recovery cost and annual timing continue.
These results explain the algorithm and do not describe a real product or forecast a real illness.
Enter the current and reduced quotes, then test a zero increase, the insurer illustration, and a more conservative renewal assumption.
If a small change reverses the lowest-cost scenario, request a cycle-by-cycle premium illustration and written restoration terms before changing the contract.
Turn off the payment-condition assumption first to see the premium-only outcome.
Turn it on only after comparing the medicine approval, indication, policy definition, and insurer response, because a large potential benefit is irrelevant if the actual treatment falls outside the clause.
Do not enter every fixed diagnosis benefit automatically.
Allocate only the portion available for treatment cost after reserving money for lost income, caregiving, transport, housing, and other household needs.
Change the first policy month and treatment interval while keeping a record of the actual contract anniversary.
Ask the insurer to map each planned date to a policy year because calendar-year intuition can produce the wrong number of payment slots.
No automatic conclusion is possible.
The insurer may review the policy definition, medicine approval, indication, treatment purpose, effective dates, waiting and reduced-benefit periods, and claim documents.
Present the planned medicine and clause to the insurer in writing before relying on the benefit.
Korean reimbursement can vary with diagnosis, indication, treatment line, prescription, benefit category, and effective date.
Applying one percentage to the full bill can misclassify non-covered or selectively covered items, so the calculator asks for a confirmed amount per treatment.
A fixed benefit may exceed the bill when contractual conditions are met, but this tool defines break-even as premium versus modeled treatment out-of-pocket cost.
Treating every excess won as investment gain would overstate the narrow medical-cost comparison.
Income loss, caregiving, travel, and living-cost protection should be analyzed separately.
Not necessarily.
The marker assumes the entered treatments occur and meet the payment conditions, while the model does not estimate cancer probability.
Premium affordability, maximum tolerable loss, other coverage, and liquid savings remain part of the decision.
It represents a non-renewing rider or a scenario with no premium increase applied.
If the actual rider renews, zero may understate total premium, so the policy schedule and renewal notice should control the input.
They are excluded from the three-option cost comparison and a warning identifies the boundary.
Test both a shorter and longer horizon instead of treating distant treatment dates as certain, and make the horizon long enough when the full premium-payment term matters.
The sources below were checked on 27 August 2026.
They support the disclosure, policy-document, medicine-information, and reimbursement-verification workflow, but they do not establish one universal premium, benefit, waiting period, or payment limit for all targeted cancer riders.
Reimbursement criteria, medicine labels, policy wording, and renewal premiums can change.
Recheck the versions in force on the actual treatment, policy-change, and claim dates, and obtain professional help for a medical decision or a disputed policy interpretation.
Start with the keep premium and benefit, then enter the insurer’s reduced quote.
Add the payment-frequency, waiting, and reduction wording, followed by hospital, public-coverage, and indemnity estimates.
Save one result with the payment-condition assumption off and another after written confirmation turns it on.
Use the break-even values as a focused question list for the insurer and treatment provider, not as an automatic instruction to retain or remove the rider.