The Future of Healthcare: How Operational Efficiency and Smart Technology Are Transforming Patient Care

The Power of Operational Efficiency in Healthcare

When we think about improving healthcare, our minds often jump to medical breakthroughs—new treatments, cutting-edge surgical techniques, or miracle drugs. But what if the real game-changer isn’t in the operating room at all? Trey Holterman, CEO and co-founder of Tennr, believes the biggest opportunity to transform healthcare lies not in clinical innovations but in operational ones. His company, which has attracted over $61 million in venture funding from major investors like Andreessen Horowitz and Y Combinator, uses artificial intelligence to automate the tedious manual tasks that bog down healthcare systems daily.

The numbers tell a compelling story. Through improved processes, the time it takes for initial patient contact can plummet from a staggering 22 days down to just 20 minutes. Think about what that means for someone waiting anxiously for a specialist referral or urgent care. Those three weeks of uncertainty and potential health deterioration can be reduced to less than half an hour. This isn’t about fancy medical equipment or revolutionary procedures—it’s about fixing the clunky, inefficient systems that create unnecessary bottlenecks in patient care. When administrative processes drag on, real people suffer real consequences. They miss treatment windows, their conditions worsen, and they lose faith in a system that seems indifferent to their needs. Holterman’s insight is that these operational inefficiencies represent the lowest-hanging fruit in healthcare improvement. While developing a new cancer treatment might take decades and billions of dollars, streamlining how patient information flows between providers can happen much faster and with immediate, measurable impact on thousands of lives.

The Dangerous Gap: When Patients Fall Through the Cracks

One of the most troubling realities in modern healthcare is what happens—or rather, what doesn’t happen—when patients transition from one provider to another. The statistics are sobering: less than half of patients actually reach their prescribed healthcare destination. Imagine being referred to a specialist and simply never making it there, not because you don’t want to go, but because the system fails to shepherd you through the process. Holterman describes this phenomenon as a “black hole” moment where accountability vanishes. When you leave your primary care doctor with a referral in hand, you’re essentially in limbo until you connect with that next provider. During this critical transition period, nobody is truly responsible for ensuring you complete the journey.

This accountability gap isn’t just frustrating—it can be life-threatening. A patient with a suspicious lump who never makes it to the oncologist, someone with chest pain who doesn’t follow through to the cardiologist, or a person struggling with mental health who gets lost between their family doctor and a psychiatrist—these aren’t hypothetical scenarios but daily occurrences across the healthcare landscape. The problem is systemic: healthcare providers operate in silos, each focused on their own piece of the puzzle, with the space between those pieces becoming a danger zone where patients can disappear without anyone noticing until it’s too late. Addressing these transition inefficiencies requires better communication systems, clearer accountability protocols, and technology that can track patients through their entire healthcare journey rather than losing sight of them the moment they walk out one door on their way to another. By improving how we manage these critical handoffs, we could dramatically improve healthcare outcomes without changing a single clinical practice.

Technology as the Bridge: Making Healthcare Operations Actually Work

The role of technology in solving these operational challenges cannot be overstated, but it’s not as simple as just throwing software at the problem. Trey Holterman emphasizes that learning management systems and other technological solutions have been massive value drivers for Tennr, but the key lies in knowing how to set up technology for operational success. Too many healthcare organizations have invested in expensive systems that end up creating more work rather than less, or that sit unused because they don’t fit into actual workflows. The difference between technology that transforms operations and technology that gathers digital dust comes down to implementation strategy and understanding the real-world processes these tools need to support.

Insurance claims processing, for instance, is notoriously complex and time-consuming, involving mountains of paperwork and endless back-and-forth communication. When properly configured, AI-powered systems can automate much of this tedious work, extracting relevant information from documents, populating the correct forms, and routing everything to the appropriate departments without human intervention. But “properly configured” is the critical phrase—it means understanding not just the technology itself but the specific operational context where it will be deployed. What works for a large urban hospital system might be completely wrong for a small rural clinic. Successful technology adoption in healthcare requires deep knowledge of both the technical capabilities and the operational realities, then creating a bridge between them. This is where companies like Tennr add value: not just by providing the technology, but by understanding how to integrate it into existing workflows in ways that actually help rather than hinder the people using it every day.

Breaking Down Regional Biases and Stereotypes

One of Holterman’s more provocative observations challenges a pervasive bias in the tech and healthcare industries. There’s an assumption, particularly among coastal elites in places like Silicon Valley and New York, that the most sophisticated, capable providers are located in prestigious urban medical centers, while providers in less glamorous locations—mid-sized cities in the Midwest or rural areas—are somehow less competent or less capable of driving operational change. Holterman calls this assumption “so wrong” and points out that providers outside these elite bubbles are often more operationally savvy and adaptable than their big-city counterparts.

This stereotype does real harm. It leads to underinvestment in healthcare infrastructure in non-coastal regions, creates barriers to innovation adoption, and overlooks the tremendous potential of providers who may not have famous institutional names but who are doing exceptional work with their patients every day. In reality, providers in these areas often have to be more creative and efficient precisely because they don’t have the endless resources of elite academic medical centers. They can’t throw money at problems, so they solve them through ingenuity and operational excellence. They’re often earlier adopters of technologies that promise to reduce costs and improve efficiency because they feel these pressures more acutely. Recognizing and leveraging the capabilities of providers across all regions, not just in prestige locations, is essential for creating a more equitable and effective healthcare system. The assumption that innovation only happens in certain zip codes limits our collective potential and leaves too many communities underserved.

The Changing Landscape: Healthcare’s Growing Openness to Innovation

For years, healthcare has had a reputation as a conservative industry, slow to adopt new technologies and resistant to change. While there’s some truth to this characterization—and good reasons for caution when lives are at stake—Holterman sees a significant shift happening. Healthcare organizations are increasingly willing to adopt new tools, but with one critical condition: these tools must demonstrably drive better outcomes. This outcome-focused approach to adoption represents a maturation of the industry’s relationship with technology. Rather than being skeptical of all innovation or uncritically embracing every new trend, healthcare leaders are asking the right question: “Does this actually make things better for patients?”

This shift creates tremendous opportunities for companies that can prove their value. If you can show that your technology reduces wait times, improves care continuity, lowers costs, or enhances patient satisfaction—and provide data to back up those claims—healthcare organizations are ready to listen. The emphasis has moved from the novelty of the tool itself to the tangible benefits it delivers. This is a healthier, more sustainable approach to technology adoption than either blind resistance or uncritical enthusiasm. It means that innovations that genuinely solve real problems will find receptive audiences, while solutions in search of problems will struggle to gain traction. For entrepreneurs and innovators in the healthcare space, this creates a clear path forward: focus relentlessly on outcomes, measure everything, and be prepared to demonstrate value before expecting adoption. The days of “if you build it, they will come” are over—now it’s “if you can prove it works, we’ll use it.”

Cultivating Innovation: Mindset, Interdisciplinary Thinking, and Experimentation

Perhaps the most important insights Holterman shares aren’t about healthcare operations at all, but about the mindset that enables innovation in any field. He challenges the limiting belief that all the great ideas have already been taken. This assumption—that we’re living in a post-innovation world where the low-hanging fruit has all been picked—is not just wrong but actively harmful. It discourages people from looking for opportunities, from questioning established practices, from imagining better ways of doing things. The reality is that every solved problem creates new challenges, every technology opens new possibilities, and every change in society creates new needs waiting to be addressed. The opportunities are endless if we’re willing to see them.

Holterman points out that some of the richest opportunities exist at the intersections of different fields of expertise. His own company exemplifies this principle—Tennr emerged from the combination of AI technology, healthcare operations knowledge, and an understanding of workflow optimization. None of these elements alone would have produced the same innovation; it’s the synthesis that creates something new and valuable. This is why interdisciplinary collaboration is so vital for innovation. When people with different backgrounds, expertise, and perspectives come together, they see possibilities that specialists working in isolation would miss. A computer scientist working alone might build impressive AI, but they won’t necessarily know which healthcare problems most need solving or how to integrate solutions into clinical workflows. Similarly, a healthcare administrator might identify operational inefficiencies but lack the technical knowledge to envision AI-powered solutions. Bringing these perspectives together creates the conditions for breakthrough innovation.

At Tennr, Holterman has institutionalized this innovative mindset by creating a culture of experimentation. Team members are encouraged to try new ideas, test different approaches, and even present their experiments to the broader organization. This isn’t just feel-good corporate culture fluff—it’s a strategic approach to continuous improvement. When experimentation is valued and supported, people stop being afraid of failure and start seeing it as part of the learning process. They try things that might not work, and sometimes discover approaches that work even better than expected. This culture of experimentation has become increasingly important in the fast-moving world of AI and healthcare technology, where the landscape changes constantly and yesterday’s best practices might be obsolete tomorrow. Organizations that can experiment rapidly, learn from both successes and failures, and continuously adapt will thrive, while those stuck in rigid processes will fall behind. The willingness to question assumptions, try new approaches, and learn from the results isn’t just nice to have—it’s essential for survival in industries undergoing rapid transformation.