Interoperability in healthcare, the ability of IT systems to facilitate the secure and timely exchange of electronic health data, is essential for transforming patient care and enhancing operational efficiency. However, challenges in data sharing and integration persist due to the complexity and variety of healthcare data, which includes unstructured clinical notes, medical images, lab tests, and genomic data. MongoDB's flexible document model is proposed as a solution to overcome data silos and achieve seamless data integration, supporting interoperability standards like FHIR and openEHR. While FHIR offers a pragmatic approach to healthcare data exchange, its limitations in scope and maturity necessitate extensions for non-standardized data. In regions like Catalonia, openEHR presents an alternative by creating inherently interoperable applications that focus on clinical data. MongoDB Atlas provides a unified platform for integrating diverse healthcare data, allowing organizations to modernize their IT systems and improve patient outcomes through real-time analytics and insights. The adoption of modern databases like MongoDB is seen as crucial for healthcare organizations to unlock the full potential of their data, thus driving innovation and meeting evolving standards and regulations.