How Can We Support The Healthtech Boom Without Widening Global Healthcare Inequality?

Healthcare technology is advancing at an extraordinary pace. Artificial intelligence is being used to help identify diseases faster, digital platforms can connect patients to doctors in seconds and data-driven tools are helping healthcare providers make better decisions than ever before. In some cases, these innovations are already saving lives, improving outcomes and making healthcare more efficient.

But there’s an uncomfortable question sitting beyond all this progress, and that is, who actually gets to benefit from it?

Unfortunately, this isn’t a new issue; it’s very much based on what’s already happened in the past. Ultimately,  technological progress hasn’t always been distributed equally. The countries, regions and communities with the strongest infrastructure, the greatest access to specialists and the deepest financial resources are often the first to benefit from new innovations. Meanwhile, lower-income countries and underserved populations often find themselves waiting years and sometimes even decades for the same technologies to become available, affordable or, at the very least, just practical.

In healthcare, where access to treatment can mean the difference between life and death, that gap holds an incredible amount of importance.

 

The Risk Of A Growing Divide

 

The promise and potential of modern healthtech is enormous. AI-powered diagnostics could help detect diseases earlier, remote monitoring tools could improve care for patients living in rural areas and far from hospitals, while digital healthcare platforms could reduce pressure on overstretched healthcare systems.

But, the problem is that many of these innovations depend on resources that are not universally available. Reliable internet connectivity, modern healthcare infrastructure, specialist training and funding all play a role in determining whether a technology can be successfully adopted.

The result is a risk that healthtech could inadvertently widen existing inequalities. Wealthier healthcare systems may continue to improve outcomes through access to cutting-edge tools, while poorer regions struggle to access even basic versions of the same technologies.

This would be particularly ironic given that some of the greatest opportunities for healthtech exist in the very places that currently have the least access to healthcare resources. In many underserved communities, even relatively simple digital tools could have a transformative impact on diagnosis, treatment and patient education. The results could be absolutely life-changing.

 

 

Designing For The People Who Need It Most

 

According to Jeremy Lawson, Chief Executive Officer at Salynt, one of the biggest challenges we’re facing is that healthtech is often designed for wealthy healthcare systems before being exported elsewhere. Indeed, Lawson says, that “Healthtech’s biggest risk isn’t the technology itself; it’s who gets to build with it”.

He argues that innovations are frequently developed for hospitals with strong infrastructure and significant funding, before being introduced into markets with entirely different challenges. Specialist shortages, fragmented referral pathways, limited funding and different clinical workflows can make technologies far less effective when they are simply transplanted from one environment to another.

Instead, he believes underserved markets should be involved from the beginning through locally validated pilots, partnerships with clinicians and solutions built around real-world needs rather than assumptions. healthcare solutions need to be designed specifically for the communities they’re going to serve, not just copied and pasted from one to the next.

This approach shifts the conversation from simply distributing technology to rather creating technology that is genuinely accessible and useful in different healthcare environments.

 

Access Matters More Than Innovation Alone

 

Ramin Bastani, CEO and Founder of Healthvana, points to evidence that technology can help close healthcare gaps when access is made a priority. Healthvana recently participated in a Stanford-led study published in “Nature Digital Medicine” that examined the impact of patient-facing AI tools across more than 155,000 patients in the United States.

According to Bastani, more than 80% of patients who used the AI chatbot they introduced came from communities of colour, populations that have historically been harder to engage through traditional healthcare systems. Users were also significantly more likely to begin preventative treatment programmes.

The findings suggest that when technology is deployed thoughtfully, it can help reach populations that have traditionally faced barriers to care.

In other words, healthtech doesn’t necessarily have to widen inequality, although it very much can. Under the right conditions, it can actually help reduce it.

 

Trust, Reliability and Human Oversight

 

But, the problem is that expanding access is only part of the challenge at hand. Abhi Sharma, Chief Technology Officer at Weave, argues that trust will be equally important if healthtech is going to scale successfully.

According to Sharma, data integrity, privacy and reliability must form the foundation of healthcare AI systems. Patients and providers need confidence that the technologies they are using are accurate, secure and accountable.

He argues that AI should be measurable, auditable and subject to clear human oversight rather than functioning as an opaque layer of automation, and that’s not something that should ever really change.

This becomes even more important in regions where healthcare resources are already stretched thin. Technologies that fail, produce unreliable results or create confusion can undermine trust and ultimately limit adoption among the very populations they are designed to help.

 

Technology Should Support, Not Replace, Care

 

Dr. Daniel Careaga, Founder of Careage Plastic Surgery, believes that accessibility needs to be built into innovation from the start.

While digital tools can improve healthcare delivery, he argues they should enhance clinical decision-making rather than replace it: “Technology should aid clinical judgment rather than replace it,” he says. It’s the augmentation over automation argument, and it’s a strong one.

Careaga believes governments, healthcare providers, investors and organisations all have a role to play in ensuring new technologies remain affordable and practical. This includes funding clinician training, designing products for diverse patient populations and considering the realities faced by communities with fewer resources.

The challenge here isn’t just building advanced tools; it’s about ensuring those tools can be used effectively by the people who need them most.

 

Can Healthtech Help Level The Playing Field?

 

The future of healthtech doesn’t have to be a choice between innovation and equality. If governments invest in digital infrastructure, healthcare systems support responsible adoption, investors prioritise accessibility alongside growth and technology companies build solutions with underserved communities in mind, there’s an opportunity to create a different outcome.

The goal shouldn’t be to slow innovation until everyone can move at the same pace. Instead, it should be to ensure that innovation is designed to travel further.

For decades, technological progress has often widened gaps before society found ways to spread its benefits more broadly, causing long-term issues. Healthtech presents an opportunity to break that pattern. Done well, it could help deliver specialist knowledge to remote regions, improve access to care in underserved communities and bring life-saving healthcare to people who have historically been left behind.

So really, the question isn’t whether healthtech will continue to advance, because it almost certainly will.

The real question is whether governments, healthcare providers, investors and private enterprises can work together to ensure that progress improves healthcare outcomes for everyone, rather than simply giving those who already have the most even more.

 

Our Experts

 

• Abhi Sharma: Chief Technology Officer at Weave
• Jon Robson: CEO and founder of Mamedica
• Jeremy Lawson: Chief Executive Officer at Salynt, Inc.
• Dr. Daniel Careaga: Founder and Board-certified Plastic Surgeon at Careage Plastic Surgery
• Ramin Bastani: CEO and Founder of Healthvana
• DeJian Fang: Co-Founder and COO of Pure Global

 

Abhi Sharma, Chief Technology Officer at Weave

 

 

“AI has the potential to meaningfully improve how patients experience care, but only if it is implemented with accountability, transparency and reliability. Data integrity and privacy are the foundation of patient trust, not just a technical concern, and compliance cannot be an afterthought. AI is only as effective as the systems it connects to, making interoperability and dependable performance essential as these technologies expand across healthcare.

“Reliability is not a feature. It is a foundation. Technology that fails can disrupt patient access and continuity of care. AI systems interacting with patients should also be configurable, measurable, and auditable, with clear human oversight rather than vague automation. The burden is not on healthcare organizations to become AI experts. It is on technology vendors to prove they are worthy of trust by demonstrating accountability, transparency, and reliability before asking providers to rely on AI to improve access and patient care.”

 

Jon Robson, CEO and founder of Mamedica

 

 

“For too long, research has been designed around systems that expect patients to fit into them, rather than around the realities of how people live, work and engage with healthcare.

“Remote consultations, secure digital platforms and patient-reported outcomes can all reduce the practical burden on patients without weakening the quality of clinical engagement. When participation is easier to manage alongside work, caring responsibilities and daily routines, it becomes accessible to a much broader group of people.

“The priority now should be to simplify the patient journey by identifying
people earlier, reducing unnecessary barriers to participation and supporting more consistent engagement over time. Access is not a secondary issue in that equation.”

 

Jeremy Lawson, Chief Executive Officer at Salynt, Inc.

 

 

“Healthtech’s biggest risk isn’t the technology itself; it’s who gets to build with it. Too often, innovations are designed for hospitals with reliable infrastructure and deep funding, then exported as-is to markets that need them most. In places like Tanzania, where I’ve been in recent discussions, the barrier isn’t talent or ambition; it’s specialist shortages, fragmented referral pathways, unreliable funding and tools that don’t match local workflows. That mismatch is where inequality hardens.

“Markets like Switzerland, Qatar the UK, and the UAE offer a better model: real pathways for pilots, reimbursement and validation before scaling. Underserved markets deserve that same discipline. Rather than simply importing technology, funded pilots could be built with local clinicians and validated in real-world conditions.

“Governments and investors can start by funding local capacity, not just individual products. The goal isn’t to export expensive tech, it’s to build healthcare intelligence that helps every system make better decisions faster.”

 

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Dr. Daniel Careaga, Founder and Board-certified Plastic Surgeon at Careage Plastic Surgery

 

 

“Health technology has great promise to advance patient care, but it also poses a genuine risk of further increasing disparities in health care delivery if new tools become available only in well-funded healthcare systems.

“Technology should aid clinical judgment rather than replace it. Almost every critical medical decision starts with a careful assessment, an honest discussion and a personalized management plan. Digital tools can enhance access to these things, but they must not replace the fundamental relationship between patient and physician.

“In order to maximize the number of people who can be helped by new advancements, initiatives focusing on accessibility should be prioritized from the outset by governments, healthcare providers, investors and organizations. That means upholding affordable technology, funding clinician training, building tools for a variety of patient populations and thinking about the realities with communities that lack resources.”

 

Ramin Bastani, CEO and Founder of Healthvana

 

 

“We’ve used technology to help increase adoption in healthcare across the United States for the last decade, and our recent AI work is a good example.

“Our Stanford-led study in Nature Digital Medicine is one of the largest real-world studies of patient-facing clinical AI in the U.S., spanning 155,000+ patients across 15 states. Notably, more than 80% of the people who used our AI chatbot inside their patient portal came from communities of color, populations historically hardest to reach, and engagers were three times more likely to start HIV-prevention medication.

“OpenAI highlighted our work in its April 2026 policy blueprint, Keeping Patients First, which argues that broader AI adoption should prioritize patient access.”

 

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DeJian Fang, Co-Founder and COO of Pure Global 

 

 

“Healthcare innovation that only works in well-funded hospitals isn’t innovation. It’s a luxury product with a medical label.

“The way I see it, we’ve been asking the wrong question. Instead of pushing expensive healthtech into poorer communities, we should ask why we aren’t building from those communities upward. Most AI diagnostics are trained on wealthy nation data, so billions of people are invisible to these tools. When an algorithm has never learned from a population, it doesn’t just underperform. It misdiagnoses.

“The fix isn’t complicated, but it requires intention. Startups should design for constraints first. Think apps that run without Wi-Fi, on a fifty dollar phone, in a village with barely any signal. Governments should stop counting how many tools get shipped and start measuring how many people actually get better care. The people being left out today will be the patients of tomorrow. Equity isn’t charity here. It’s strategy.”