Computer vision and AI at the service of humanitarian health

Operating in over 60 countries, Operation Smile used processes that did not keep pace with the complexity and volume of its global operations. The clinical context demanded precision, speed, and traceability, attributes that depend on a robust digital infrastructure.

• Classification of clinical conditions: screening for cleft lip and palate required field agility, but existing processes did not adequately support rapid and standardized classification of patient conditions.

• Data reliability and efficiency: manual forms and spreadsheets were vulnerable to inconsistencies and made data research and analysis slower and less reliable.

• Report generation: the time required to consolidate and generate operational reports compromised data-driven decision-making.

• Global and multilingual operation: operating in over 60 countries required multi-language support and the ability to capture and analyze data in real-time to identify trends and care gaps.

Squadra structured a digital transformation solution that combined Microsoft platforms with artificial intelligence, eliminating manual processes and delivering a more connected, precise, and scalable operation.

Genius in Action: Digitization and AI Applied to Global Humanitarian Health

Digitization and Data Structuring

The starting point was the elimination of paper forms and the creation of a digital platform accessible even without an internet connection.

• Power Apps with Offline Functionality: Replacement of manual forms with a digital solution available in the field, ensuring operational continuity regardless of connectivity.

• MS Fabric: Centralization and structuring of patient data in integrated dashboards, offering a unified view for management and clinical research.

Artificial Intelligence Applied to Care

With the structured data foundation, AI was applied in layers that add precision and efficiency to the care process.

• Computer Vision for Diagnosis: AI now supports real-time visual assessment of images, increasing the speed and consistency of clinical screenings.

• Automated Translation: Automation of medical information translations, enabling consistent data standardization across countries and languages.

• Real-time Data Analysis: Implementation of continuous capture and analysis mechanisms, enabling the identification of trends and care gaps with unprecedented agility.

• Faster screening: patients now receive faster evaluations thanks to AI computer vision support.

• Improved medical data management: automated translation of information ensured consistency and traceability across multiple languages.

• 100% Digital Process: the form completion workflow was entirely digitized, eliminating reliance on manual processes.

• Real-time analysis: continuous data capture and processing now support trend identification and evidence-based care planning.

• Global recognition: the solution was highlighted as a social impact case on Microsoft's global website, demonstrating how ethical technology and strategic partnerships can transform data into humanitarian actions on a global scale, earning prominence on Microsoft's global site.

Global Highlight

The innovation, recognized as a social impact case, expanded access to essential surgeries, ensuring faster care and reducing recurrent medical events. This collaboration exemplifies how ethical technology and strategic partnerships transform data into humanitarian actions worldwide, gaining prominence on Microsoft's global website.