Vikas's Post

A ₹10 lakh health insurance policy gave a ₹70 lakh claim. Sounds shocking? But it’s possible. This happens when your policy has an Unlimited Restoration Rider. Serious illnesses like cancer, kidney dialysis, heart treatments, or long hospitalizations often require multiple sittings and repeated hospital admissions. The medical expenses can become unlimited. With Unlimited Restoration in Health Insurance, the sum insured refills 100% again and again for the same person and even for the same disease after the first cover gets exhausted. Example: You have a ₹10 lakh policy → treatment uses ₹10 lakh → the policy restores another ₹10 lakh automatically → if needed, it restores again. That’s how a ₹10 lakh policy can end up paying ₹70 lakh or even more during multiple hospitalizations. 👉 When buying health insurance, always check: • Unlimited Restoration Benefit • Coverage for same illness • Multiple hospitalization support Because medical inflation is real, and one serious illness can wipe out savings. Right health insurance planning can protect your wealth. #HealthInsurance #UnlimitedRestoration #MedicalInflation #InsuranceAwareness #FinancialPlanning HospitalBills CancerTreatment KidneyDialysis InsuranceClaim HealthCover

• #MedicalInflation
• #FinancialPlanning
• #UnlimitedRestoration
• #HealthInsurance
• #InsuranceAwareness

• 22 0
• 82.9K Followers
• 466 Posts
• 31 Average Likes
• 0.04% Eng. Rate

This post was published on 12th March, 2026 by Vikas on his Instagram handle "@vikasvaid_vhw (Vikas Vaid)". Vikas has total 82.9K followers on Instagram and has a total of 466 post.This post has received 22 Likes which are lower than the average likes that Vikas gets. Vikas receives an average engagement rate of 0.04% per post on Instagram. This post has received 0 comments which are lower than the average comments that Vikas gets. Overall the engagement rate for this post was lower than the average for the profile. #MedicalInflation #FinancialPlanning #UnlimitedRestoration #HealthInsurance #InsuranceAwareness has been used frequently in this Post.