Why Walmart and IBM Couldn’t Crack Healthcare: Insights from Zocdoc’s CEO
Healthcare is widely recognized as one of the most complex and challenging industries to transform. Despite the influx of technology and innovation, major players like Walmart and IBM have struggled to make a lasting impact. Oliver Kharraz, founder and CEO of the $2.3 billion healthcare marketplace Zocdoc, sheds light on why traditional disruption playbooks fail in this sector. Drawing from his extensive background—rooted in a 300-year family tradition of medical professionals—Kharraz offers a nuanced perspective on the intricacies of healthcare innovation and what it truly takes to succeed.
Big Ambitions, Tough Realities: Walmart and IBM’s Healthcare Ventures
Both Walmart and IBM launched bold healthcare initiatives with high hopes but ultimately retreated after facing unforeseen challenges. Walmart Health opened low-cost clinics in 2019, aiming to provide transparent and affordable primary and dental care. However, by April 2024, Walmart announced the closure of all 51 clinics across five states and the discontinuation of its virtual-care services. The primary reasons cited were rising operational costs and the complexities of insurance reimbursement, which rendered the model financially unsustainable.
IBM’s Watson Health followed a similar pattern. Launched in 2015 with the promise of revolutionizing cancer care and other medical fields through artificial intelligence, Watson Health failed to meet expectations. After investing approximately $4 billion, IBM sold most of the division to Francisco Partners in 2022 for nearly $1 billion. These setbacks underscore the difficulties even tech giants encounter when attempting to overhaul healthcare systems.
Healthcare: A Complex Systems and Incentives Problem, Not Just a Technology Issue
According to Kharraz, the core challenge in healthcare disruption lies not in technology itself but in the intricate web of systems and incentives that govern the industry. Unlike markets that can be reshaped by a single innovation, healthcare functions as a deeply interconnected ecosystem involving hospitals, pharmacies, insurers, regulators, and countless other stakeholders. Each part influences the others—and has done so for decades.
Kharraz compares healthcare to building the fastest train in the world: no matter how advanced the train is, it cannot succeed if it doesn’t run on the existing tracks. This metaphor illustrates why innovations that do not integrate seamlessly with current infrastructure and financial models often fail to scale or sustain impact.
Working Within the System: The Path to Meaningful Healthcare Innovation
The reality of healthcare transformation is that companies must navigate legacy institutions and infrastructures instead of attempting to bypass them. Kharraz emphasizes that lasting change comes from collaborations that respect and work within these existing frameworks.
Some startups focus on creating niche products that address specific pain points but often remain on the industry’s periphery because they lack connections to core healthcare infrastructure. Without these connections, reaching the scale necessary to solve systemic problems is unlikely.
Conversely, some companies err by assuming the system will naturally evolve around their superior solutions. Kharraz warns that this is rarely the case in healthcare, where financial incentives and regulatory frameworks rarely realign spontaneously.
Conclusion: Ambition Meets Execution in Healthcare
While the healthcare industry urgently needs innovation and bold ideas, Kharraz reminds us that the challenge is not just conceptual but deeply practical. “Ideas are easy and execution is hard” especially in healthcare, where complexities abound. The experience and expertise required to navigate this landscape demand a careful balance of ambition, respect for existing systems, and strategic integration.
For entrepreneurs, investors, and industry leaders, the lesson is clear: success in healthcare disruption requires more than revolutionary technology—it requires a profound understanding of the system’s complexities and incentives.
For more detailed insights, read the original commentary Here.
