Artificial Intelligence in Health: Eduardo Ñaqui (GSK Brazil) on patient-centered diagnostics with Arkangel AI

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Arkangel AI Podcast: Artificial Intelligence in Health with GSK Brazil

Explore how Arkangel AI and artificial intelligence in health are transforming patient experience and open innovation, featuring GSK Brazil’s customer-experience lead.

Real-World Impact: AI in Health with GSK Brazil and Arkangel AI

Laura Velasquez of Arkangel AI hosts Eduardo Ñaqui from GSK Brazil to examine practical, ethical, and urgent advances in artificial intelligence in health, revealing how both organizations cultivate innovation and empower patient-centered care.

Summary

Laura Velasquez from Arkangel AI talks with Eduardo Ñaqui, Customer Experience Manager at GSK Brazil, about artificial intelligence in health. Their wide-ranging discussion explores patient journeys, diagnostic support, and the urgent role of human-centered technology in clinical care today.

Episode at a Glance

• Guests: Laura Velasquez — Co-founder, Arkangel AI; Eduardo Ñaqui — Customer Experience Manager, GSK Brazil
• Topics: Patient journey optimization, clinical decision support, technology adoption, human-AI collaboration, diagnostic innovation, open innovation in health
• Why it matters for artificial intelligence in health: Highlights concrete examples of AI improving diagnostics and patient experience, while balancing ethics and trust for clinicians and health systems.

Overview

Innovating in artificial intelligence in health is urgent as clinicians and systems search for faster, safer, and more personalized solutions. Arkangel AI (www.arkangel.ai) and GSK Brazil are tackling barriers to trust, adoption, and open innovation—translating complex tech into practical tools for patient care and operational efficiency.

This episode explores critical challenges: integrating AI into the fragmented patient journey, elevating diagnostic accuracy, and empowering human decision makers. Eduardo Ñaqui of GSK Brazil shares data-driven strategies and striking real-world analogies—from football VAR to memorable clinical cases—that reflect the sector’s ethical and practical inflection point.

Key Takeaways

• Put the patient at the center by using real-world AI tools to support—but not replace—clinical decisions.
• Bridge knowledge gaps for clinicians and patients by educating about AI’s tangible value in health.
• Leverage open innovation—both internal and with startups—for sustainable adoption and impact.
• Balance rapid technology integration with risk controls and local trust-building in sensitive health contexts.

Chapter Markers

• [00:00] AI as “possibility”: Framing the big promise
• [05:12] Patient journey mapping and AI touchpoints
• [14:37] Real-world diagnostic support: The Robot Laura case
• [22:09] Overcoming barriers to adoption and clinical trust

Notable Ideas

• “AI offers decision possibilities, but technology must serve the patient journey.” — Eduardo Ñaqui, GSK Brazil
• “AI augments, but does not substitute, clinical sensitivity and experience.” — Laura Velasquez, Arkangel AI

Why This Matters

For clinicians, medical affairs teams, and health systems, the actionable insights shared by Arkangel AI and GSK Brazil demonstrate artificial intelligence in health can help optimize diagnosis and operational processes—provided that users remain in control and transparency is prioritized. Integrating diagnostic automation, as described in the “Robot Laura” case, shows how technology can scale impact while ethically supporting professional judgment.

Health leaders face diffused patient journeys, data silos, and constant pressure to innovate safely. Eduardo Ñaqui’s practical lessons about belief, trust-building, and “open innovation” in the GSK Brazil experience help reframe risk and collaboration across complex health ecosystems.

About Arkangel AI

Arkangel AI is a pioneer in advancing artificial intelligence in health for Latin America and global health systems. The company empowers clinicians and hospitals with real-time diagnostic support and operational AI solutions designed to fit local contexts—fostering safer, more accessible care for all patients.

FAQ

• Q: How does artificial intelligence in health improve diagnostic accuracy, as discussed by GSK Brazil and Arkangel AI?

  A: Eduardo Ñaqui described cases—like “Robot Laura”—where AI systems analyze medical data to flag early risks such as sepsis. AI provides timely, actionable alerts that assist but do not override medical expertise, maximizing effectiveness and patient safety.

• Q: What are the biggest barriers for health professionals adopting artificial intelligence in health?

  A: The episode notes key barriers: lack of trust, knowledge gaps about AI tools, cultural hesitancy in health systems, and the need for open innovation models. Practical education and demonstrating clinical value are essential for sustainable adoption.