The "Midlife Crisis" of Internet Healthcare: Saying Goodbye to the Era of "Free Lunches" and Competing on Real Skills
Hello everyone, I'm your financial journalist and economist. The article we're going to discuss today is very professional and, admittedly, a bit harsh, but it reveals the biggest secret of China's internet healthcare industry over the past decade and points out who will survive in the next five years.
To make it easier for you to understand, I've broken down the long article into five key parts. Let's avoid jargon and talk about it in plain language: How did they make money in the past? Why can't they make money the same way now? Is AI really useful? What's the way forward?
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Part 1: The Past "Myth" Was Actually "Free Lunches" – You Didn't Earn Money, You Took Advantage of Hospitals' Laziness
The article starts by hitting a nail in the coffin: The high growth of internet healthcare in the past decade was not about innovation; it was about reaping the benefits of existing systems.
It's like a large restaurant (a public hospital) that was so busy with daily operations that the staff couldn't attend to things like serving water to customers, reminding them to pay, or following up after meals. Then, a small restaurant (an internet healthcare platform) opened nearby. This new platform didn't create any new services; it just did the tasks that the big restaurant couldn't handle – things like online consultations for doctors, checking patient reports, and simple post-operative follow-ups.
- The old logic: Hospitals lacked the digital capabilities to manage their existing patients effectively; doctors took on some online orders on the side for extra income, and the hospitals turned a blind eye.
- The result: The platforms easily gained traffic and revenue, which seemed like a model of innovation, but it was actually just reaping the benefits of the existing system.
The change now: Hospitals are facing tougher times. Due to healthcare cost controls (DRG/DIP reforms), anti-corruption efforts, and financial pressures, they have to take control of this revenue themselves. The gray areas where doctors could take on extra orders on the side have been closed off.
- For doctors: Policies have tightened; doctors need to get permission from their main hospitals to work in multiple locations or online, and the registration processes have become more standardized.
- For hospitals: Hospitals are now setting up their own internet hospitals to provide advanced chronic disease management and specialized services.
In short: In the past, you helped hospitals with their tasks and made a bit of money on the side; now the hospitals have cleaned up their own mess and are trying to retain this revenue for their own use. The resources you once relied on have become essential assets they need to protect.
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Part 2: The Dilemma of Hospitals: Licenses But No Products, Facilities But No Operations
There's a very interesting structural gap in the industry, which also presents the biggest opportunity right now.
Almost every public hospital in China has an internet healthcare license and has departments for international patients and special needs services. However, most hospitals are in a state of having the shell but no content: they offer basic functions like registration, payment, and report checking, but they lack the valuable services such as full-course disease management, personalized health interventions, and ongoing customer management.
It's like a luxurious mall (an internet healthcare platform) with all the shelves and checkout counters in place, but no good products or knowledgeable sales staff.
- For third-party platforms: The old strategy of taking patients from hospitals no longer works.
- New opportunity: If you can invest the time to help hospitals build their product and operational systems and grow this value-added revenue, you become a partner, not a thief.
The key point: Stop trying to undercut hospitals; instead, help them improve their services and products. Shift from a zero-sum game to a symbiotic relationship where both parties benefit.
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Part 3: AI Intelligent Agents: Not a New Fancy, but the Key to Breaking the "Impossible Triangle"
Everyone is talking about AI, but many misunderstand its true value. The article explains that AI agents truly break the "impossible triangle" in healthcare management: personalized care, scalability, and low cost.
- The previous dilemma: The more personalized the care, the more staff needed, which increased costs and limited scalability. This meant healthcare could only be either highly tailored or broad but less effective.
- AI's breakthrough: AI can create personalized health profiles, predict future outcomes, assist doctors in data analysis, and free them up to make critical decisions. It also reduces costs significantly, allowing one AI system to serve millions of people.
But there's a big misconception: AI solves the efficiency issue on the supply side, not the trust issue on the implementation side. Just because you can generate large-scale solutions doesn't mean you can deliver them effectively. If companies only use AI to attract investment without actual product development and operations, the path forward will become narrower.
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Part 4: 99% of AI in Healthcare Still "Only Identifies Problems" – This Is the Biggest Shortcoming
The article sharply points out that 99% of current AI healthcare applications are still at a basic level:
1. Replacing manual tasks: Automating medical records and sending follow-up messages. This saves costs, but doesn't generate new revenue.
2. Risk identification: Reading health reports and issuing warnings. This tells you about potential issues, but not how to treat them or who will provide the treatment or whether it will be effective.
Users' payment behavior is clear: They won't change their habits or pay based on a vague risk report. Identifying problems is just a tool; solving problems is what creates revenue.
The harsh reality: AI technology itself doesn't create barriers to entry; anyone can use large models, and algorithms become similar within half a year. The window for hype based on AI concepts is closing.
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Part 5: The Barriers for the Future: Specialized Disease Management + Hospital-Specific Solutions + Insurance Integration
So, who will win in the future? The article outlines a clear **"four-party closed-loop" model for internet healthcare 2.0:
1. Core products: Solutions tailored to specific diseases, focusing on the entire treatment process (e.g., diabetes, hypertension, cancer rehabilitation).
- Key metrics: Measurable health outcomes, such as blood sugar control rates and reduced complications.
- AI plays a role in improving efficiency, while smart wearables and brain-computer interfaces collect data, but the ultimate goal is to achieve tangible results.
2. Hospitals: Provide authoritative support and entry points for patients.
- Platforms act as value-added services for hospitals, helping to expand their revenue.
3. AI: Offers personalized and efficient solutions at low costs.
4. Insurance: Creating a closed-loop with commercial health insurance.
- This is the biggest breakthrough: Previously, insurance was limited due to high user costs. Now, with standardized processes and verifiable results, insurance companies can get involved.
- The logic: Hospitals provide trust, AI improves efficiency, products deliver results, and insurance covers the costs.
Three misconceptions to overcome:
1. Hardware is not the entry point; it's a tool. A smartwatch without follow-up services is just electronic waste. Users buy results, not data.
2. Internet hospitals are just a platform. Online services limit efficiency; physical hospitals, doctors, and in-person services determine the success of the business.
3. Healthcare without hospitals is always a marginal business. Trust from public hospitals is essential for high prices and stability.
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Conclusion: The Era of Speculators Is Over
The article concludes clearly: What's ending is not the internet healthcare industry itself, but the era of profits for speculators.
- In the past: Success came from taking advantage of existing systems, quick profits, and hype.
- In the future: Success will come from focusing on product development, deep integration with hospitals, using AI to improve efficiency, and leveraging insurance to expand revenue.
Advice for practitioners: If you still think you can make money just by attracting users, you're already out of the game. If you're willing to focus on quality products, collaborate with hospitals, and deliver real health outcomes, then the golden age of internet healthcare 2.0 is just beginning.
The path ahead is harder, but the barriers are higher, and the business is more stable. This marks the transition from a chaotic era to a more professional one.