Data / Insights / Action
DataLabs by Plum publishes data journalism on the economics of health conditions in India, built from Plum's de-identified health insurance claims. Each edition follows one condition through the claims: who it affects, at what age, and what treatment costs. The live editions cover heart disease and cancer, and the next one covers maternity.
Heart disease rarely arrives out of nowhere: its costs build up quietly over years. A heart event often brings a rush of hospital visits, pre-authorisations and unexpected bills.
In this cohort, 9,534 heart-related claims from 7,402 patients added up to more than ₹148 Cr in amounts claimed. Explore the data on conditions, costs and early risk.
Explore data: Investigating Heart Disease
How much do patients actually pay? How much does insurance cover? How many times do families go through the cycle of hospital visits, pre-authorisations and reimbursements?
A data-driven investigation into one of the most complex, life-altering diseases, seen through the lens of 8,102 insurance claims across multiple insurers.
Explore data: The Cost of CancerOur next edition follows maternity through health insurance claims: the age at which working families have children, the hospitals they choose, and what childbirth costs.
Coming soon: Maternity
Privacy & Anonymisation
Every DataLabs story is built from de-identified data: Plum's health insurance claims and, where relevant, health checkup records. Direct identifiers are removed before analysis reaches the page.
Names, phone numbers, email addresses, policy numbers, and other direct identifiers never appear in the analysis or the visuals.
The figures describe Plum's insured cohorts: who claimed, for what, and what it cost. They are not national statistics or medical advice.
The analysis is ongoing. If you spot a discrepancy or have data that could improve it, write to datalabs@plumhq.com.