You remember that feeling, right? February 2020. Watching news from overseas, wondering if it was something or nothing. Then suddenly, everything stopped.
Six years later, here’s what nobody tells you: we still can’t predict the next pandemic with any certainty. But we’re getting terrifyingly closer, and the insurance industry is scrambling to keep up while trying to figure out what the hell “healthcare” even means anymore.
Let’s start with the crystal ball situation.
What “Disease X” Actually Means (And Why It Keeps Experts Up At Night)
The World Health Organization coined a phrase back in 2018 called “Disease X”. Catchy, right? Sounds like a Marvel villain. In reality, it’s just placeholder language for “the thing we don’t know exists yet that’s definitely going to kill a lot of people.”
An infectious disease physician from Johns Hopkins broke it down pretty bluntly. We’re preparing for the unknown unknown — a pandemic pathogen we haven’t even characterized yet. And here’s the part that should make you nervous: it’s probably a respiratory virus that spills over from animals into humans. You know, like the last one.
“We are more prepared now than we were before,” this doctor said. Then immediately added: “We are not fully prepared”.
Six years, billions of dollars, and apparently “more prepared” still isn’t “prepared enough.” Cool.
WHO’s director-general warned just last week that the world needs to prepare for “the inevitable next flu pandemic”. Not if. When. There’s a difference in phrasing that matters.
Here’s Where AI Enters the Picture (And It’s Actually Pretty Wild)
I’m generally skeptical when people throw “AI” at problems like it’s glitter at a kindergarten craft project. But some of this stuff is genuinely interesting.
The WHO just launched version 2.0 of their Epidemic Intelligence from Open Sources system — EIOS for those who love acronyms. It’s basically a giant digital ear to the ground, scraping public information from everywhere. Websites, social media, radio broadcasts — which the system automatically transcribes and translates. Over 110 countries are using it now.
The idea is simple: maybe if we hear about the weird coughing outbreak earlier, we can do something before it becomes the thing.
But here’s where it gets genuinely impressive. Researchers developed a machine learning system that monitors Google search trends combined with traditional epidemiological data. During the 2024-2025 season, this system detected 98% of outbreak onsets with an average five-week lead time.
Five weeks. That’s not nothing. That’s the difference between “we have time to prepare” and “we’re already behind.”
UC Davis is part of a global collaboration using AI to rank viruses by their pandemic potential, looking specifically at which ones are most likely to spill over from animals to humans. They’re trying to spot the next threat before it spots us.
The researchers themselves are careful not to overpromise. “Artificial intelligence cannot by itself prevent pandemics,” one of them said. But it can help identify hotspots — geographically, in specific animal species, in wastewater, in humans — so surveillance resources can be deployed intelligently instead of randomly.
That’s the honest version of prediction, by the way. Not a psychic knowing exactly what will happen and when. Just better information faster so we can make less stupid decisions.
Meanwhile: Health Insurance Is Having An Identity Crisis
Let me tell you what’s happening on the insurance side of this equation, because it’s genuinely strange to watch.
Health insurance companies are trying really hard to rebrand themselves. They don’t want to be the people you call when your appendix explodes anymore. They want to be your “health partner” — which feels a bit like your landlord offering to be your “housing buddy,” but okay, let’s hear them out.
According to a report from Policybazaar, insurers are shifting toward personalization and prevention. Standard policies with one-size-fits-all coverage are gradually being replaced by customized offerings based on your age, medical history, and lifestyle risks.
Digital tools have made it possible to issue policies instantly, use AI for underwriting, track claims in real time, and settle everything paperlessly. Which is genuinely better than the old system, I’ll admit. Waiting six weeks for a claims check while you’re recovering from surgery was its own special kind of hell.
Coverage has expanded beyond just hospitalization, too. Newer policies increasingly cover telemedicine, home healthcare, mental health treatment, and even alternative treatments. Some products now offer zero co-payment options, unlimited restoration of sum insured, and wellness-linked rewards.
The industry perspective, quoted directly: “Health insurance is undergoing a fundamental shift — from being a reactive financial product to becoming a proactive health partner”.
Which sounds nice. But here’s the tension nobody’s talking about enough.
The AI Trust Gap
HealthEdge’s 2026 Healthcare Payer Survey Report found that 94% of payers are either live with or actively adopting AI, and nearly half report widespread or departmental use.
But here’s the number that should give everyone pause: only 21% of members report using AI-powered tools offered by their health plan. 58% haven’t used them at all.
That’s not a technology problem. That’s a trust problem.
Insurers are building all this AI-powered infrastructure — chatbots, personalized recommendations, health tracking tools — and most people aren’t touching it. Among non-users, 64% say they’d be open to using AI tools in the future. So it’s not rejection. It’s hesitation. Suspicion. Maybe a lingering sense that these companies aren’t exactly motivated by your wellbeing.
Only 31% of payers report having fully defined governance models and controls in place for their AI systems. Which means most of them are building the plane while flying it, and nobody’s entirely sure who’s responsible if something goes wrong.
Remote Monitoring Is Actually Happening Now
This is one trend that feels genuinely useful and not just corporate buzzwords.
Remote patient monitoring is capturing a dominant revenue share in health services, especially in chronic disease management. About 4,600 medical practices routinely billed for remote patient monitoring in 2024, with approximately five new practices added each month.
New CPT codes for 2026 have expanded reimbursement opportunities for remote monitoring, including shorter monitoring periods of 2 to 15 days. Patients can now use cellular-connected blood pressure cuffs and glucose monitors with flexible data transmission requirements.
The 2026 policy landscape includes extending Medicare telehealth flexibilities through 2027. Telehealth is no longer an emergency measure — it’s becoming a permanent part of how healthcare works.
Insurers are creating hyper-personalized wellness programs using AI and data analytics, generating tailored nutrition plans, dynamic exercise regimes, and sleep coaching based on data from wearable devices.
The private medical insurance market has moved beyond just providing faster access to specialists. Companies are now competing to offer comprehensive health and wellbeing partnerships that integrate digital tools, preventative care, and personalized rewards.
Looking Around The Corner
Can we predict the next health crisis? Not precisely. Not the way you’d want. But there’s a real argument that we’re building systems that might give us enough warning to matter.
The WHO’s EIOS system, the machine learning models catching 98% of outbreaks weeks in advance, the AI tools ranking viral threats before they spill over — none of this guarantees we won’t get blindsided again. But it’s better than what we had in 2019. And given what 2020 felt like, “better than nothing” is actually worth something.
On the insurance side, the shift toward prevention and personalization makes sense on paper. Insurers have every financial incentive to keep you healthy instead of just paying for you to get patched up after something breaks. The question is whether they’ll figure out how to earn enough trust to make people actually use the tools they’re building.
The technology exists. The question is whether the human systems — trust, governance, regulation — will catch up before the next Disease X arrives.
Because it’s not a matter of if. It’s when. And when it comes, we’ll find out how prepared we really are.
by S. LEWIS