CTcue has developed a privacy-focused platform using the Elastic Stack to enhance the searchability of electronic health records (EHRs), which are predominantly composed of unstructured data that is challenging to process. Leveraging Elasticsearch since 2015, CTcue has optimized its data model to improve search performance by using a denormalized structure that streamlines query processes and mitigates the limitations of on-premises infrastructure. The platform aids healthcare professionals in conducting prospective feasibility studies and real-world evidence integration, facilitating more efficient healthcare delivery and decision-making. As CTcue expands its reach across more hospitals, it is focusing on infrastructure scalability, centralized monitoring, and reporting, while planning to utilize Kibana and Canvas for enhanced data visualization and real-time monitoring. The platform's integration of natural language processing helps refine search results, making unstructured medical data more accessible, with the ultimate aim of improving patient care and internal hospital processes.