AI Can End the Endless Drive to the Hospital. Insurers Have to Let It.

This past month has been one of the most agonizing times of my life. I’ve watched firsthand every day my grandfather battle bile duct cancer, and I’ve experienced the anxiety of waiting to hear what next steps for him might be. My parents have taken countless hours out of their busy lives to take him back and forth to the hospital for tests that are relatively simple procedures. 

Families of patients like my own often feel powerless in this constant back-and-forth with hospitals. As my family and I research new ways to reduce this uncertainty and make these tests more time-efficient, I’ve learned something interesting along the way: the potential of adequately integrating AI medical technologies directly into patient care at home.

I may not be a doctor, but I advocate from the side of concerned loved ones who watch their family members and friends grapple with life-changing diseases in the 21st century. To ensure no other families go through the pain of not knowing and not having access to our time’s most revolutionary medical technology, I implore hospitals to make one simple change. And it doesn’t require a complete re-do of our current system.

We need AI technologies such as portable ultrasounds to become more widespread in medical recommendations and embrace AI technologies as insurance-funded care. Right now, promising new technologies you can find online are often out-of-reach, unknown (like they were to family), and prohibitively expensive. Yet they reduce testing wait times and allow families to responsibly carry out relatively simple tests from the comfort of their own homes, reducing the burdens of travel and waiting for everyone involved.  

Advocating for hospitals to embrace these devices first requires us patients and families of patients to understand the incredible potential these devices have. Traditional check-ups force patients to rely on massive, expensive hospital gear operated by specialized techs, which leads to bottlenecks in the number of patients awaiting a test. For patients and their families who live far from major medical centers, this forces them to travel long distances for a procedure that AI now allows families like mine to conduct at home.

Technologies such as Point-of-Care ultrasound (POCUS) incorporate AI to achieve this goal. Decentralizing care through POCUS isn’t just about cutting corners; it’s about bringing care closer to home. Even though old handheld ultrasound probes used to output shaky, grainy videos that totally confused traditional AI, modern sparse-frame deep learning systems like SPARSE-PEF completely solve that problem. Instead of getting tripped up by jittery footage, these geometry-based models isolate crucial snapshots of the heart—like when it’s fully relaxed versus fully contracted—to check metrics like ejection fraction with crazy high precision, even through poor lighting or heavy motion. Slapping smart AI into handheld devices means local doctors and families like mine can run reliable preliminary screenings right in a living room or local clinic. It saves us time, agony, and pain.

The problem? This promising technology is only available to the masses on places like Amazon, out of reach for millions of people who can’t afford the technology or simply are unaware of it, when it should instead be a common practice of doctors prescribing these technologies to families like mine in hospital rooms.

Because POCUS with sparse-frame AI is proving it can actually handle messy, real-world conditions, it opens the door for other at-home medical uses. If AI can figure out a steady heart scan from a shaky hand in a living room to a very high accuracy, similar smart diagnostic tools could soon be used at home to monitor all kinds of other vital health issues without needing a hospital bed.

To make this beneficial, we need a shift from reactive hospital care to proactive home care. Hospitals, policymakers, and medical educators must collaborate to establish training programs for patients and caregivers, clear guidelines for remote data sharing, and official clinical pathways where a doctor includes home diagnostic toolkits in a discharge plan. By shifting our infrastructure to support decentralized monitoring, we can alleviate the burden of transit fatigue and restore a sense of control to families who feel trapped in a cycle of endless waiting rooms.

We must also rethink how these tools are funded. POCUS and advanced artificial intelligence diagnostics should not be treated as luxury gadgets available only to those who can afford purchases. Insurance companies must recognize these technologies not as optional consumer electronics, but as core medical necessities of modern care. When insurance providers cover portable devices under standard healthcare plans, they ensure that rural families, low-income households, and overworked caregivers have the exact same access to rapid health insights as anyone living next door to a major medical center. Treating home-based technology as an essential part of treatment is the definitive leap we need to take to make healthcare genuinely equitable, accessible, and humane.

Admittedly, even with smart geometry-based AI compensation, non-expert operators could still misuse handheld devices or misinterpret things, which could lead to false alarms or missed early-stage complications. Plus, processing sensitive medical scans on portable devices might raise cybersecurity and privacy concerns outside of secure hospital networks, and there’s always the risk of leaning too heavily on tech instead of actually talking to a real cardiologist or specialist.

Despite these hurdles, the upside is just too huge to ignore. By letting AI bridge the gap between patients and medical expertise, our society can slash those exhausting hospital trips, lower costs, and guarantee fast, reliable access to care for everyone, no matter where they live. POCUS is just one example of many ways AI can help families like mine and patients like my grandfather truly benefit from 21st century medical care.

Alex Su is a high school student. He enjoys environmental protection, travel, and a plethora of outdoor activities.