The largest dataset of verified, identity-checked patient reviews in India — what trends are emerging.

After two years of dataset curation, our verified review dataset crossed 48,000 entries in April 2026. Each of those reviews has been identity-verified, visit-verified, and pattern-checked against our anti-fake pipeline. It is now, to our knowledge, the largest such dataset in the country. Here is what it tells us about the state of Indian healthcare in 2026.

The good news

Patient-reported satisfaction with diagnostic accuracy is rising steadily — from 71% in 2024 to 78% in 2026. This is one of the most consistent upward trends in the entire dataset. Investment in equipment, digital imaging, and lab technology at Indian private hospitals is finally showing up in outcomes patients notice.

Post-operative infection rates in accredited hospitals have also declined — from a self-reported 4.1% in 2024 to 2.7% in 2026 among the reviews that mention infection either way. Sterile-technique training and antimicrobial stewardship programmes appear to be working.

The bad news

Billing clarity has barely moved. 38% of patients in 2026 report being "surprised" by their final bill — up marginally from 37% in 2024. This number has been stuck in the high 30s for three consecutive years, despite the introduction of Clinical Establishments Act rules in more states and despite the rise of patient-facing bill-audit services like ours. The transparency lag is real and structural.

Indian healthcare is getting better at curing. It is not getting better at billing.

Similarly, consultation length has continued to decline. The median first-consultation length in our dataset dropped from 14 minutes in 2024 to 11 minutes in 2026. This is quiet but consequential — consultation length is one of the strongest predictors of patient satisfaction in every specialty we have analysed.

The wildcards

Two findings genuinely surprised us:


What has not changed

Three findings from 2024 remain almost identical in 2026:


The single most important finding

Across all 48,000 reviews, one variable predicts patient satisfaction better than any other, more strongly than hospital brand, more strongly than degree pedigree, more strongly than city: whether the doctor drew a diagram or wrote something down during the consultation. Patients whose doctors visually explained their condition — however roughly — reported satisfaction scores 1.3 points higher on a 5-point scale than patients who did not receive a visual explanation.

The single strongest predictor of patient satisfaction in India in 2026 is a pen and a piece of paper.

What we are watching in 2027

Three trends we will be tracking closely:


Access the data

Aggregated, anonymised versions of the dataset are available on request for academic and journalistic use. The underlying identities of reviewers are, and will remain, confidential. Everything else is fair game for inquiry.

Numbers do not fix healthcare. But numbers make it possible for patients, regulators, and honest providers to hold the system accountable for the specific things that need to change. That is what we are trying to do, one review at a time.

What has changed since our 2024 report

Comparing this 2026 dataset to our 2024 baseline, five shifts stand out as genuinely new:


The regional lens

South Indian cities collectively score 4–7 points higher on the composite index than North Indian cities of comparable size. The gap is driven primarily by cost transparency and consultation length, not by clinical outcomes. This is a durable trend — visible in every year we have measured.

What high-scoring hospitals do differently

Across the dataset, hospitals in the top decile of patient satisfaction share four operational habits:


None of these habits requires new technology or additional clinical training. They require deliberate operational choices — the kind of choices that hospital leadership either makes or does not make.

How to submit your own review

The single most useful thing readers of this journal can do is submit their own verified reviews. Every submission — good or disappointing — strengthens the dataset for the next patient. Verification takes about four minutes, and reviews are pseudonymous once published. The infrastructure exists. What it needs is your specific story.

Trends we expect to accelerate

Three trends we expect to become more prominent in the 2027 dataset:


The single number to watch

If we had to pick one summary metric of Indian healthcare's trajectory, it would be the "no surprise" bill rate — the percentage of patients whose final bill matched their initial estimate within ±10%. In 2024 it was 43%; in 2026 it is 47%. Movement is real but slow. When that number crosses 60%, we will know a genuine transparency inflection has taken place.

The final principle

Aggregate data is only as good as the individual signals feeding it. Every review, every bill submission, every honest data point contributes to a picture that patients, providers, and regulators can act on. That is the theory of change. The practice is millions of small acts by patients who took the time to share what they experienced.