Sun Feb 15 09:50:00 UTC 2026: ### AI in Healthcare Faces ROI Challenges: Mayo Clinic Platform Advocates for Process Reengineering

The Story:
In a February 14, 2026 article on TahawulTech.com, Maneesh Goyal, Chief Operating Officer of Mayo Clinic Platform, addressed the ongoing challenges of achieving a sustainable return on investment (ROI) from artificial intelligence (AI) implementations in healthcare. While AI has progressed beyond the experimental phase, many organizations are struggling to translate its potential into tangible improvements in patient outcomes and financial benefits. Goyal emphasized the critical need for process reengineering to embed intelligence seamlessly into clinical and operational workflows, moving beyond simply applying algorithms to existing systems.

Goyal highlights the importance of a collaborative and continuously learning ecosystem supported by process reengineering, disciplined measurement, and global collaboration to unlock measurable value. He also identified federated data networks, independent clinical validation, and pre-integrated solutions as key components for reducing risk and accelerating deployment across various healthcare settings, including the UAE. He stressed the importance of rethinking how care is delivered rather than simply layering technology onto existing processes.

Key Points:

  • Maneesh Goyal, COO of Mayo Clinic Platform, highlights the struggle for healthcare organizations to achieve ROI from AI.
  • Success hinges on redesigning clinical and operational processes to embed intelligence.
  • Process reengineering, disciplined measurement, and global collaboration are vital.
  • Federated data networks, independent clinical validation, and pre-integrated solutions reduce risk and accelerate deployment.
  • AI pilots succeed when organizations rethink how care is delivered rather than layering technology onto existing processes; clinical or business process reengineering is required.
  • Digital-first strategies, including markets like the UAE, are key to unlocking AI’s potential in healthcare.

Critical Analysis:
The historical context provided shows Mayo Clinic’s active involvement in AI research and innovation, with events like the “AI Research Summit” indicating a focus on pushing the boundaries of AI in healthcare. This context lends credence to Goyal’s insights, positioning Mayo Clinic Platform as a leader in this space. His emphasis on process reengineering suggests a recognition that the technical capabilities of AI are not enough; successful implementation requires a fundamental rethinking of healthcare workflows.

Key Takeaways:

  • AI’s promise in healthcare remains largely untapped due to implementation challenges.
  • Process reengineering is critical for realizing AI’s potential in clinical settings.
  • Collaboration, data sharing, and independent validation are essential for responsible AI deployment.
  • Focusing on digital-first strategies is key to expanding AI’s reach, including in developing markets.
  • The healthcare industry needs to rethink care delivery processes rather than simply adding AI on top of existing systems.

Impact Analysis:
Goyal’s message has significant implications for healthcare providers, technology vendors, and policymakers. By emphasizing process reengineering, Mayo Clinic Platform is setting a new standard for AI implementation in healthcare. This could lead to a shift in investment priorities, with organizations focusing more on workflow optimization and change management alongside technology adoption. The call for global collaboration and data sharing could also foster the development of more robust and generalizable AI solutions, ultimately improving patient outcomes on a broader scale. The focus on digital-first strategies suggests a long-term vision of healthcare increasingly powered by AI and accessible through digital channels.

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