SWIFT Data Assignment for Oncology Patient Care

This case study outlines the challenges faced by COTA in manually assigning unique identifiers for patient cohort categorization, which was essential for tracking care and outcomes but resulted in inefficiencies. The process required submitting support tickets to the engineering team, leading to delays in data management. To address these issues, COTA implemented Decisions, a low-code process automation platform that enabled non-technical users to modify truth tables in real-time without engineering support. This transition eliminated manual coding steps, significantly reduced the time required for cohort assignments, and enhanced operational efficiency. The case study details the key benefits of using Decisions, including increased efficiency, time savings, and improved resource allocation. It also discusses the impact on COTA's business growth, allowing the organization to focus on strategic initiatives while simplifying core data management tasks. The conclusion emphasizes how Decisions has empowered COTA to enhance its data-driven insights and advance cancer treatment and care.