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Data-Driven Culture in Medicine and Surgery: Policy Pathways to Learning Health Systems.

Leonardo O Reis1,2,3, Tomas B C Moretti3,4

  • 1Uroscience, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil.

International Journal of General Medicine
|March 30, 2026
PubMed
Summary

Data-driven surgery, including robotic-assisted procedures, can enhance surgical care quality and equity. Effective governance and integration into universal health systems are key for equitable access and innovation, especially in low- and middle-income countries.

Keywords:
Surgical public healthartificial intelligencedata-driven medicinehealth economic-industrial complexinnovation policyreal-worldrobotic-assisted surgeryuniversal health systems

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Area of Science:

  • Health Systems Research
  • Surgical Innovation
  • Health Policy Analysis

Background:

  • The shift to data-driven medicine transforms healthcare delivery, quality, and equity.
  • Robotic-assisted surgery is a key technological advancement with policy implications.
  • Diversification of robotic platforms enables wider adoption beyond specialized settings.

Purpose of the Study:

  • To analyze the governance, implementation, and equity implications of data-driven surgery.
  • To examine the role of robotic surgery within universal health systems.
  • To explore strategies for integrating advanced surgical technologies for national development.

Main Methods:

  • Conceptual analysis synthesizing literature and policy frameworks.
  • Review of health system experiences, focusing on universal health systems.
  • Examination of case studies, including Brazil's integration of robotic surgery.

Main Results:

  • Robotic surgery, governed as a public asset, can improve surgical performance, personalize care, and scale best practices.
  • Intentional integration into universal health systems (like Brazil's SUS) aligns technology with equity and innovation goals.
  • Failure to integrate data-driven surgery risks increased inequities and loss of innovation sovereignty.

Conclusions:

  • Data-driven surgery should be governed as a public asset, emphasizing transparency, interoperability, and accountability.
  • A system-level, policy-led approach can leverage surgical transformation for population health and sustainable development.
  • Addressing challenges like digital divides and ethical concerns is crucial for equitable implementation.