This interview is with Jamie Frew, CEO at Carepatron.
Jamie Frew, CEO, Carepatron
Could you please introduce yourself and tell us about your journey to becoming an expert in the field of AI and healthtech?
I’m Jamie Frew, and my journey into the intersection of AI and health-tech has been an exciting one, full of learning curves and big ideas. My background is a bit of a mix, which I think has helped me develop a unique perspective on how technology can transform healthcare. I’ve always been fascinated by problem-solving and the ways we can improve systems, and when I first got into the tech world, I quickly realized the massive potential AI has to create real, tangible change in people's lives.
Health-tech, in particular, captured my attention because it’s such a critical industry, and yet, it’s one that’s often behind the curve when it comes to innovation. I’ve seen firsthand how overburdened healthcare providers are, how outdated some of the systems can be, and how patients often get lost in the shuffle. That’s what drew me to co-found Carepatron, where we’re working to simplify and streamline healthcare processes through intuitive technology. At its core, I believe AI is all about augmentation, a.k.a. helping professionals work smarter, not harder, so they can focus on what matters most: the people they’re caring for.
What key experiences or insights have shaped your perspective on the potential of AI in transforming healthcare?
A lot of my perspective on AI in healthcare comes from working directly with practitioners and seeing the challenges they face. We're talking outdated systems, overwhelming admin work, and the constant pressure to focus on patient care despite inefficiencies. One experience that stands out is tackling patient documentation workflows. It hit me how much time was being wasted on repetitive tasks, time that could’ve been spent on actual care.
That’s when I realized AI wasn’t just useful but was essential. The key insight for me has been that AI must serve humans, not just systems. If it’s not intuitive or doesn’t integrate into daily workflows, it won’t make an impact. Beyond efficiency, the potential to shift healthcare from reactive to proactive—like using AI to predict health issues before they escalate—is what excites me most. Ultimately, AI is here to enhance what healthcare professionals do, giving them more time, clarity, and power to focus on what matters most: their patients.
From your experience at Carepatron, can you elaborate on a specific instance where AI implementation yielded a tangible improvement in patient care? What advice would you give to other healthcare providers considering similar AI integrations?
Integrating AI to streamline clinical documentation is definitely one of the standouts. Healthcare providers often spend hours every day writing notes, updating patient records, and handling admin tasks. We built an AI tool that could summarize session notes, auto-complete repetitive fields, and even suggest updates based on previous records. This didn’t just save practitioners time but also reduced errors and improved the accuracy of patient information.
Practitioners reported reclaiming hours of their week, which they could dedicate to seeing more patients or simply decompressing after a long day. Patients benefited, too, as care was more personalized because the practitioner wasn’t buried in paperwork, and having accurate, up-to-date records meant better continuity of care. For healthcare providers considering AI, my advice is simple: start small and focus on solving a specific pain point. Don’t try to overhaul your entire system overnight.
Look for areas where AI can make an immediate impact, like automating routine tasks or analyzing data for trends. And always involve your team in the process. The most successful integrations come from understanding what practitioners truly need and building AI tools that fit seamlessly into their workflows. At the end of the day, it’s about making their lives easier and improving patient outcomes, not complicating things further. Keep it practical and human-centered, and you’ll see results.
You mentioned prioritizing AI solutions that enhance the human aspect of healthcare. How do you see the balance between AI and human interaction evolving in the future of patient care?
I see AI and human interaction becoming increasingly complementary in healthcare, like two sides of the same coin. The goal isn’t to replace the human element, but to enhance it. Healthcare is inherently personal, and no algorithm can replicate the empathy, intuition, and trust that come from human connection. What AI can do, though, is take over the repetitive, time-consuming tasks that often distract practitioners from focusing on their patients.
In the future, I think we’ll see AI seamlessly working in the background, acting like a silent partner. It will handle tasks like summarizing notes, flagging potential health risks, analyzing complex data, and even offering evidence-based recommendations so practitioners can make more informed decisions faster. This allows healthcare professionals to spend less time staring at screens and more time engaging with patients, listening, and building relationships, which is what good care is all about.
The balance, I believe, will evolve around trust. For AI to truly support patient care, both practitioners and patients need to trust it. That’s why transparency, accuracy, and usability are key. People need to feel confident that AI is an aid, not a threat. And as AI becomes more integrated, I think it’ll also empower patients to take a more active role in their health through tools that provide insights or personalized recommendations directly to them.
Ultimately, the future isn’t about choosing between AI and humans; it’s about creating a partnership where technology amplifies the best parts of what it means to care.
How can healthcare professionals ensure they are using AI tools ethically and responsibly to avoid biases and ensure equitable access to care?
Ethical use of AI in healthcare starts with recognizing its limitations and actively addressing them. One of the biggest challenges is bias in AI systems, which can occur if the data used to train the algorithms isn’t diverse or representative. To avoid this, healthcare professionals and organizations need to prioritize transparency. Regular audits and testing for bias should also be standard practice.
Another key consideration is equitable access. AI tools shouldn’t just benefit large, well-resourced healthcare systems or specific patient demographics. It’s essential to design solutions that are accessible, affordable, and adaptable to different settings, whether that’s a small rural clinic or a large urban hospital. This means involving diverse stakeholders in the development process, from practitioners to patients, to ensure the tools meet real-world needs across varied contexts.
Healthcare professionals also have a responsibility to maintain the human touch. AI should support decisions, not replace them. Practitioners must stay in the driver’s seat, using AI as a tool to enhance their expertise rather than blindly relying on it. Educating themselves on how these tools work, and questioning outputs when needed, is crucial to making responsible use of the technology.
Finally, communication with patients is vital. Being transparent about how AI is being used in their care can build trust and alleviate concerns. Patients should feel empowered to ask questions and understand how decisions are made, ensuring that the care they receive remains collaborative and patient-centered.
Data privacy is a major concern in healthcare. How can AI be leveraged to improve data security and protect patient information while still enabling innovation?
Data privacy is a huge concern in healthcare, but AI can actually strengthen security while enabling innovation. One key way is by detecting and preventing threats in real-time. AI can monitor systems for unusual activity, like unauthorized access or potential breaches, and flag issues before they escalate.
AI also helps with encryption and anonymization. It can securely store and transfer patient data while removing personal details, so researchers and developers can work with the information without risking privacy. This balance is crucial for innovation.
Access control is another area where AI shines. It ensures only authorized people access certain data, and only when they need it, making security tighter without disrupting workflows.
Beyond the tech, organizations need a “privacy by design” mindset, like building strong security practices into every step of AI development. Transparency with patients about how their data is used is key, as is compliance with regulations like HIPAA or GDPR.
At Carepatron, we focus on making security simple and seamless, so practitioners can trust the system without added stress. When done right, privacy and progress can work together to benefit everyone.
What advice would you give to aspiring entrepreneurs or technologists looking to make a difference in the field of healthtech?
Healthcare is a complex, high-stakes industry, and it’s not enough to build something that looks good on paper. Spend time talking to healthcare professionals, listening to their pain points, and observing how they work. The best innovations come from truly understanding the challenges at ground level.
Second, keep things simple. It’s easy to get caught up in the excitement of cutting-edge technology, but the best health-tech solutions are the ones that are intuitive, practical, and integrate seamlessly into existing workflows.
Third, don’t lose sight of the human side of healthcare. Technology is a tool to empower care, not replace it. Always design with people in mind.
Another key point is to take ethics seriously from day one. Whether it’s data privacy, AI bias, or equitable access, these issues aren’t just afterthoughts but foundational to building trust. Transparency, inclusivity, and accountability should guide every decision you make.
Lastly, be patient and persistent. Health-tech moves slower than other industries because you’re working in a space where lives are literally at stake. Regulations, compliance, and adoption take time. But if you stay focused on creating real value and solving meaningful problems, the impact you can make is enormous.
Thanks for sharing your knowledge and expertise. Is there anything else you'd like to add?
If you’re interested in learning more about the work that we do at CarePatron, or in connecting further, feel free to reach out to me on LinkedIn or explore our website.