Predictive AI in Health: Dr. Walberto Buelvas (Medisinú IPS) on Arkangel AI

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Arkangel AI and Artificial Intelligence in Health: Transforming Chronic Care

Explore how Arkangel AI and artificial intelligence in health are driving value-based care alongside experts from Clínica Medisinu. Discover practical strategies for digital transformation.

Predictive Risk and Patient-Centered Value: Arkangel AI x Medisinu IPS

This episode delivers actionable insights on applying artificial intelligence in health with lessons from Medisinu IPS’s strategy for chronic disease management across Colombia.

Summary

Host Laura Velasquez of Arkangel AI discusses scalable health solutions with Dr. Walberto Buelvas, CEO of Medisinu IPS. They delve into real-world digital transformation, using artificial intelligence in health to predict risk, personalize care, and generate measurable value for patients and providers, making a substantial impact across the Colombian health system.

Episode at a Glance

• Guests: Dr. Walberto Buelvas — CEO, Clínica Medisinu IPS
• Topics: Real-world AI in health, digital transformation in clinics, risk prediction in chronic disease, patient experience data, actionable population health strategies, ROI in healthcare
• Why it matters for artificial intelligence in health: This conversation showcases tangible frameworks for using AI and analytics at scale, closing workforce gaps, and connecting clinical insights to outcomes for patients and systems.

Overview

Latin American healthcare faces rising chronic disease burdens, workforce shortages, and deep disparities by geography and income. Arkangel AI (www.arkangel.ai) partnered with Medisinu IPS to tackle these urgent challenges through artificial intelligence in health—applying predictive models and data-driven strategies across diverse patient populations.

This episode explores Medisinu IPS’s journey from small-scale care to nation-leading chronic disease management, leveraging AI to optimize nephrology resources and personalize interventions for thousands. Practical lessons highlight the complexities of transformation, including integrating non-clinical determinants and measuring true value for patients and health systems.

Key Takeaways

• Start with foundational training in AI and data science—open access courses and basic epidemiology build essential digital skills for clinicians.
• Integrate digital innovation with institutional strategies; align AI rollouts with clear goals for clinical impact and resource optimization.
• Use patient and context data to prioritize care—predictive models help target resources to those progressing fastest in chronic conditions.
• Expand measurement beyond clinical outcomes—capture patient experience, social determinants, and economic impact to assess real value.

Chapter Markers

• [00:00] Why AI is urgent for Latin American health
• [05:12] Medisinu IPS's digital transformation story
• [14:37] Personalizing risk and care: From data to action
• [22:09] Capturing patient experience and measuring value

Notable Ideas

• “Esperanza para los pacientes, generación de valor para todos los actores del sistema de salud.” — Dr. Walberto Buelvas, Medisinu
• “La clave está en humanizar la tecnología para mejorar la calidad, no solo el volumen, de la atención.” — Laura Velasquez, Arkangel AI
• “El impacto real se mide incorporando experiencia del paciente y determinantes sociales, no solo desenlaces clínicos.” — Dr. Walberto Buelvas, Medisinu IPS

Why This Matters

For clinicians and medical affairs leaders, this conversation demonstrates how artificial intelligence in health enables proactive risk management—identifying high-risk patients sooner and matching them with tailored interventions. The Medisinu IPS example provides evidence that targeted use of AI-driven analytics can reduce dialysis incidence, cut avoidable hospitalizations, and free up scarce specialist resources in constrained systems.

Health system administrators gain a blueprint for measuring broader value—moving from volume-based metrics to indicators that combine clinical, social, and economic impacts. By collaborating with technology providers like Arkangel AI and community-rooted institutions such as Medisinu IPS, organizations can develop more equitable, personalized, and sustainable care models throughout Latin America.

About Arkangel AI

Arkangel AI is dedicated to advancing artificial intelligence in health for Latin America and beyond, equipping institutions, clinicians, and patients with predictive, data-driven tools. Our platform supports large-scale risk stratification, early disease detection, and actionable population health management, with a strong commitment to equity, efficiency, and real-world value.

FAQ

• Q: How does artificial intelligence in health improve outcomes for chronic disease patients?

  A: By using tools from Arkangel AI and partners like Medisinu IPS, health systems can analyze patient data at scale, predict who is likely to deteriorate, and intervene earlier, reducing the need for costly hospitalization and improving lives.

• Q: What training should health professionals seek to adopt AI effectively?

  A: Start with fundamentals in data science and epidemiology—today’s online AI courses (some free) make these skills accessible for all clinicians. Dr. Huelvas emphasized capacity-building as a critical first step.

• Q: How can patient experience data be integrated into AI-driven health care?

  A: Medisinu IPS uses patient-reported measures and social determinant data to refine predictive models, personalize care, and measure value well beyond traditional clinical outcomes.

• Q: Why is digital transformation urgent for Latin American clinics?

  A: Workforce gaps, rural disparities, and rising costs make scalable solutions from Arkangel AI and peers like Medisinu IPS vital. AI enables targeted interventions and optimizes scarce resources.