How a centralized platform is revolutionizing terminology and translation management for a leading healthcare organization
How a centralized platform is revolutionizing terminology and translation management for a leading healthcare organization
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USA
Healthcare
The client speaks with the executive board of among the most prestigious organizations in nutrition and dietetics to learn how they changed a heritage terminology system into a modern, multilingual platform designed for global healthcare standards. From handling complex translation procedures to connecting with SNOMED and LOINC, the discussion delves into how the organization leveraged cloud innovation and AI to improve data accuracy, collaboration, and interoperability in a quickly changing digital health ecosystem.
The client faced many challenges in managing their large and evolving terminology database. Without a centralized system in place, workflows for version control, translation, and external code mapping were fragmented and inefficient. Translators had no integrated tools, making multilingual updates error-prone and time-consuming. Manually mapping terms to standards like SNOMED and LOINC further added to the complexity and increased the risk of inconsistencies.
On top of that, managing version comparisons and highlighting updates required manual intervention, limiting accuracy and scalability. The absence of role-based access, audit trails, and automated notifications made collaboration difficult across teams. Integrating real-time APIs and achieving interoperability demanded significant technical effort—posing major roadblocks to the organization’s goals of streamlined data governance and global compliance.
Empowering dietitians with personalized nutrition plans through a web & mobile platform.
Explore more case studyCase in point: a centralized Database Maintenance Tool designed to help users efficiently manage standardized medical terminology across multiple languages. From creating new versions and mapping terms to global standards, to leveraging real-time translation via Azure AI, the tool empowers both internal and external stakeholders with greater control, accuracy, and speed.
The solution delivered measurable improvements, including faster translation turnaround times through Azure AI integration and more precise term mappings, reducing the need for manual updates. Secure access was ensured with role-based permissions and two-factor authentication, while the built-in commenting system accelerated review cycles. Additionally, the Excel export feature saved several hours of manual effort, significantly improving operational efficiency, reducing costs, and boosting overall productivity.
At Computer Concepts Inc., we see intelligent automation as a strategic driver to solve real-world challenges. We’re applying it in targeted, transformative ways to help organizations manage data with precision, collaborate more effectively, and operate with confidence in an increasingly connected healthcare ecosystem.
Computer Concepts Inc. is assisting healthcare teams in managing complicated medical terminologies more efficiently with smart automation and AI. Users can translate, map, and manage multilingual term databases using a centralized tool powered by Azure AI, assuring confidentiality, consistency, and real-time accuracy. It is all about speed, precision, teamwork, and control. RBAC, 2FA, and intelligent Excel exports allow both internal and external users to focus on higher-value tasks.
As healthcare data evolves, Computer Concepts Inc. remains ahead by combining innovative technology with human-centric design, allowing customers to produce better results through better terminology management.