Four Indian health-tech models, four different ways to measure progress

If you read the headlines about Indian healthtech, you'll see a dizzying blur of massive numbers: Millions of medicines delivered! Hundreds of thousands of scans processed! Thousands of home visits completed!

It all sounds like explosive growth. But treating all these numbers the same is a mistake.

Coming from a consumer background, I've always looked at companies through a specific lens: Who is paying? What makes them come back? How much does it cost to serve the next person? But when I started looking at healthcare, I realised I am missing the most important question of all:

How much of the patient's actual health outcome does the company own?

When you ask that question, the entire healthtech landscape shifts. The companies that grow the fastest usually only control one tiny sliver of a patient's journey. The companies that actually take responsibility for making someone healthier need physical operations, real doctors, and human empathy, things you can't just scale with a software update.

Here is the underlying picture of the Indian healthtech: the trade-off between scaling fast and actually owning the care.

1. Online pharmacies: the e-commerce of medicines

Think: Tata 1mg, PharmEasy, Truemeds

These companies start with a massive advantage, they don't have to convince you to build a new habit. If you have a chronic condition, you already buy medicine every month. The pitch is simple and highly appealing, get your exact prescription cheaper and delivered right to your door. But the reality of this business is incredibly messy.

Everything that happens between you tapping "Order" and the delivery person ringing your doorbell is brutally expensive. Medicines must be sourced, stored in climate controlled warehouses, verified, and shipped. Discounts bring people to the app, but they decimate profit margins. For instance, PharmEasy posted 5,800 crore rupees in revenue recently, but lost over 1,500 crore rupees doing it. Tata 1mg's healthcare subsidiary faces similar challenges.

The takeaway: Online pharmacies are brilliant at scaling transactions. But once that medicine is in your hands, their job is done. They own the delivery, not the outcome.

2. Clinical AI: the super-powered scanner

Think: Qure.ai, Niramai

This is where software flexes its muscles. Qure.ai uses AI to spot tuberculosis or lung cancer on X-rays, while Niramai uses thermal imaging for breast cancer screening.

The business model is a tech investor's dream. A hospital buys the software, and suddenly, they can screen thousands of patients without needing to hire a proportional army of specialists. It works as well, Niramai's tech boasts an over 95% sensitivity rate, and Qure.ai is touching 15 million patients a year.

But there is the thing: A suspicious scan is not a cure.

If the AI flags a tumor, but the patient can't afford a biopsy, can't get an appointment with an oncologist, or doesn't have access to surgery, the AI's job hits a brick wall.

The takeaway: AI is incredible at scaling a specialist's attention. But it is entirely dependent on a physical healthcare system to catch the baton and actually treat the human being.

3. Chronic care: the daily grind

Think: Fitterfly, Sugar.fit, BeatO

You can't fix diabetes in a 15-minute doctor's visit. What happens on a random Tuesday afternoon when you're craving a snack matters more than the prescription pad.

These platforms pair apps and smart monitors with human nutritionists, doctors, and health coaches. They hold your hand through the lifestyle changes required to actually get better. And the data shows it works: patients in Fitterfly's program saw real drops in their blood sugar levels and lost weight.

But here is the business problem: Personal support is expensive.

The more time patients spend with their coaches, the better they get. But paying all those coaches eats up the profits. Sugar.fit, for example, spent heavily on employee costs and advertising, leading to a 42 crore rupee loss on 66.5 crore rupees in revenue. If you remove the human coaches to save money, the service stops working.

The takeaway: Chronic care apps take real responsibility for your health. But they sacrifice the massive profit margins of pure software because genuine care requires human time.

4. Home healthcare: the hospital in your living room

Think: Portea, HCAH, Apollo HomeCare

Imagine someone you know is recovering from a stroke. Instead of keeping them in an expensive, depressing hospital ICU for weeks, a nurse and a physiotherapist come directly to their living room.

This model owns the actual delivery of care. They aren't just giving advice or delivering a box; they are doing the physical work of healing.

But out of all the models, this is the hardest to scale. An app can schedule appointments in milliseconds, but you cannot compress an hour of bedside nursing into five minutes. The company has to hire, train, and manage thousands of nurses navigating city traffic across the country. Ensuring the nurse in Bangalore provides the exact same quality of care as the nurse in Delhi is a huge operational challenge.

The takeaway: They own the biggest piece of the patient's recovery, but they carry the heaviest operational burden to pull it off.

The reality check checklist

Ultimately, this isn't a battle between "tech" and "human touch." It's a sliding scale. The more of a patient's health you want to be responsible for, the more complicated, human, and expensive your business becomes.

Treating all these companies together under the trendy umbrella of "healthtech" doesn't do them justice. The next time you see a healthtech company celebrating their numbers, ask these five questions:

1. Who is actually paying for this? And is it a necessity, or just a nice to have?
2. Why do people keep using it? Are they dependent on it for their health, or just sticking around for the discount codes?
3. What is the technology actually making cheaper?
4. Is the patient actually getting healthier? And can the company prove it?
5. When the company finishes its job, who takes over? If they just find a problem, who fixes it?

A million app downloads is a great metric for a lets say a gaming company. But in healthcare, progress shouldn't just be measured by the scale of the software, it should be measured by the human beings left healthier on the other side.