What hospital ads can and cannot say: NMC and ASCI rules for marketers

Hospital marketing in India is governed by several overlapping rules: medical ethics regulations that restrict doctors from self-promotion, the Drugs and Magic Remedies Act that bans claims to cure listed conditions, consumer protection rules against misleading ads, and ASCI’s self-regulatory code. The safe principle is simple: inform, do not promise. State who you are, what you offer and how to reach you; avoid cure claims, guarantees, comparisons you cannot prove and testimonials that imply outcomes.

This is a marketer’s overview, not legal advice. Have your legal or compliance team review campaigns before launch.

Why this matters now

Healthcare is the sector the Advertising Standards Council of India flags most. In its 2023-24 complaints report, healthcare accounted for 1,569 of the 8,229 advertisements ASCI scrutinised, about 19 per cent and the highest of any sector, and 86 per cent of the violative healthcare ads were on digital media, as reported by Business Standard. Hospital marketing has moved online, and scrutiny has followed.

The rules, in plain language

Sources: ThePrint on the NMC panel, Drugs and Magic Remedies Act, ASCI influencer update.

What hospital marketing can safely say

• The hospital’s name, locations, specialties and services offered.
• Doctors’ names, qualifications and specialties, stated factually.
• Facilities, technology and accreditations that are current and verifiable.
• Timings, contact details, how to book, and package prices where offered.
• Educational content on conditions and prevention, reviewed by clinicians and free of cure claims.

What to avoid

• “Cure”, “guaranteed”, “100 per cent success” or similar outcome promises.
• “Best”, “No. 1” or “only” claims without independent, current substantiation.
• Before-and-after images or patient testimonials that imply typical results.
• Comparisons with named competitors you cannot prove.
• Doctor self-promotion framed as advertising rather than education.
• Influencer posts about treatments without disclosure and relevant qualifications.
• Retargeting based on sensitive health signals without clear consent.

A claims checklist before any campaign

• Is every factual claim true today and documented?
• Could any line be read as a promise of outcome?
• Are prices, packages and inclusions stated fully?
• Are testimonials genuine, consented and not implying typical results?
• Is paid or influencer content clearly labelled?
• Has a clinician reviewed medical content and legal reviewed claims?
• Is consent in place for the data used to target or follow up?

For the consent side, see DPDP consent and hospital marketing and the DPDP consent notice template. For doctor content, see reviewing AI-generated doctor content.

Channel by channel

Words to handle with care

• Cure, guaranteed, permanent, painless, risk-free: promises of outcome.
• Best, number one, leading, only, first: need current, independent substantiation.
• Miracle, breakthrough, revolutionary: exaggeration that invites complaints.
• Success rate: only with a clear definition, source, period and context.

Building a review process

• Keep an evidence file for every factual claim in regular use, with its date and source.
• Use a two-step sign-off: a clinician for medical accuracy and legal or compliance for claims.
• Keep a library of pre-approved phrases for each service line so teams do not improvise.
• Record approvals, so you can show what was checked if a complaint arrives.
• Review the library every six months, and whenever rules or guidance change.

If a complaint arrives

Take it seriously and respond on time. Pause the ad or post while you review it, check the evidence, and correct or withdraw if needed. ASCI decisions are published, and quick, cooperative responses protect the brand far more than defending a weak claim.

Rules for AI-generated marketing content

Generative AI makes it easy to produce ad copy and health content at scale, and just as easy to produce claims nobody checked. Treat AI output as a first draft: every factual and medical statement goes through the same clinician and compliance review as human-written copy, and nothing is published because a tool suggested it. I cover the review process in reviewing AI-generated doctor content.

Questions people ask