Xie Wei sat up straight.
He adjusted his clothing.
The female journalist asked:
"Dr. Xie, the public says that big data in healthcare is the trend. What’s your opinion?"
Xie Wei answered:
"I think so too. Big data in healthcare can not only standardize the industry and optimize drug research structures but also improve the level of dical expertise in our country and address issues like the shortage of doctors..."
A trip to Myanmar.
Xie Wei had already beco a supporter of this model.
To be honest.
If he went back to the old days.
Relying solely on experience, working tirelessly to diagnose patients while risking misdiagnosis — just thinking about it made his head hurt. Now, it’s hard to even make a diagnostic error, and even if there is one, he wouldn’t be held responsible.
Big data would bear the bla.
Precisely because of this.
The ’doctor community,’ as victims, actually sowhat embraced it. Once used... it’s hard to let go.
The female journalist asked again:
"Would this have an impact on you?"
Xie Wei replied:
"I don’t think so. Society will always need doctors and dical scientists. During training in Myanmar, I discovered that their doctors have to learn no less than we do, maybe even more."
"Oh? Can you elaborate?"
"Sure. They previously lacked doctors, so they adopted this fast-track approach, which gave outsiders the false impression that doctors would beco unnecessary in the future. But in reality, they are also vigorously training professional doctors."
"They have promotion paths and title assessnts, which are as challenging as ours. In terms of the breadth of specialization, they even have higher requirents. For instance, every doctor there must learn to assist childbirth under ergency conditions."
"Childbirth?"
"Yes, childbirth."
"Their goal in doctor training is to ensure that under conditions without proper equipnt, they can perform ergency treatnt for patients who cannot be sent to a hospital in ti. Normally, this might not be noticeable, but during critical monts, it can make a significant impact."
"I see."
"..."
The female journalist asked a series of ten questions, all for material gathering. Eventually, only about one-third of the content would make it to the news broadcast. Or, if made into a special segnt, a larger portion might be used.
After leaving Xie Wei.
The female journalist went to the next location.
...
By evening.
The journalist’s interview aired on the "News Broadcast."
Quite generous.
A whole three minutes.
It helped the audience deepen their understanding of the term "big data in healthcare" and filled them with excitent and optimism because it indeed would significantly reduce their dical expenses and even cure illnesses.
dical resources would also be utilized effectively.
Over the years, they had suffered enough from fake and inferior products, high drug prices, deceptive private hospitals, and those who pushed useless health products — hormones worth just a few dollars sold for hundreds.
Especially targeting elderly people’s savings for their coffins.
Such people.
Their behavior deserves condemnation.
Now it’s different. With dical loans, even cancer could be treated, and prices were no longer astronomical. To these greedy rchants, the answer could now be sumd up with, "Do you take for a fool? Get lost."
anwhile.
Upon hearing about Myanmar’s doctor training system, many people’s misconceptions about big data in healthcare gradually dissipated. It wasn’t about eliminating doctors but rather a beneficial supplentation and progress.
Doctors.
Are needed at any ti, especially professional ones.
"I told you, big data in healthcare is the future, haha."
"As a cancer survivor, I sincerely hope it’s fully implented. Not just for cancer treatnt; we could also learn from Myanmar and enforce mandatory annual physical fitness examinations for everyone."
"I completely agree with the comnt above. With fast hospital diagnostic devices, it takes just about two minutes for one scan — maybe even faster at one minute. If we were aiming for nationwide coverage... anyone good at math, help calculate how many units would be required."
"One minute per scan, operating year-round without breaks, we’d need 2,663 units. Based on the pricing released by Myanmar Pharmaceutical Group, one unit costs RMB 87 million... total cos to over RMB 230 billion."
"..."
Those figures.
Left countless people silent.
Operating year-round?
Impossible.
If it operated just 12 hours a day, the price for purchasing these diagnostic cabins alone would exceed RMB 500 billion. If each scan took two minutes, the cost for equipnt would rise past RMB 1 trillion.
Oh my goodness!
One trillion.
Unless the nation went crazy.
It could never buy that many. With that kind of money, why not develop and manufacture our own devices?
Then.
Soone else calculated further.
"This is just the equipnt cost. If consumables and other expenses are added, the cost would increase by about 10%. However, assuming the equipnt has a 10-year lifespan, the annual cost per person for a checkup wouldn’t exceed RMB 100."
That answer,
Made many people feel better.
Just RMB 100.
It seed acceptable.
But.
This was just wishful thinking.
First of all, the state could never spend RMB 1 trillion to buy that many diagnostic cabins. However, people weren’t too bothered by that. After all, with cancer now curable, the significance of yearly checkups diminished sowhat.
Online sentint was overwhelmingly positive.
However.
So people felt uneasy. Outsiders were reveling in excitent, while insiders were deeply worried. Three minutes on the "News Broadcast" revealed a clear intent — the leadership was gearing up for major actions.
It was set in motion.
This was no longer about transcription fluid.
It was about the leadership recognizing the potential outcos of this healthcare approach, no longer wanting to let the market dictate terms or rely on copying and importing foreign "basic" dical devices.
Sure.
You’re allowed to learn, copy, and imitate.
But you need to actually manage copying it!
Transcription fluid has been around for so long, and you haven’t developed anything yet. Those billion-dollar devices are even further out of reach. This isn’t sothing a single pharmaceutical company can resolve; it involves over a dozen scientific disciplines.
Without state intervention,
It’s impossible to replicate in a short ti.
Therefore.
Major pharmaceutical companies in Huaxia clearly saw the leadership’s determination: If you can’t do it, I’ll step in myself.
It was unavoidable.
Drugs, the drugs couldn’t be developed.
Devices, even less so.
They had lost the grounds to justify themselves. Those with better connections were already considering switching to other state-owned enterprises. Huaxia’s pharmaceutical industry would soon have no future. Pharmaceutical companies would be reduced to "processing factories."
A well-known pharmaceutical company.
"Dad, I want to return to Beijing."
"No way."
"I’m turning into nothing but a literal ’drug factory’ here! It’s pointless."
"Pointless as it may be, stay where you are. You think you’re the only one with this idea? There’s already no suitable position for you over here. Focus on your current work and host the Ministry of Health’s inspection team properly. I’ll figure sothing out."
"Alright."
Inspection team.
This was a comprehensive assessnt of state-owned pharmaceutical research capabilities initiated by the leadership. He knew that soon, his research staff and departnts would likely all be stripped away from the company and directly placed under the Ministry of Health.
...
A small "three noes" health product factory.
Inventory piled to the ceiling.
"Boss, are we really just throwing these away?"
"What else can we do?"
"What a waste."
"If you want to drink it, you can take as much as you want ho."
"Um... I was just saying."
Kidding.
Only a fool would drink them.
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