Transforming Unstructured Patient Data for WellBe Senior Medical

This document is a technical report detailing the collaboration between Tredence and WellBe Senior Medical to enhance the processing of unstructured patient data. The report outlines the challenges faced by WellBe, specifically the inefficiencies and limitations of their legacy system in handling large volumes of patient diagnosis data, often exceeding 250,000 pages. It explains how Tredence implemented Snowflake and Snowpark to create a streamlined data processing ecosystem that significantly increased processing speed and reduced manual effort. Key metrics include a 95% increase in processing speed, analyzing approximately 125,000 PDF pages per minute, and a 90% reduction in manual efforts, allowing resources to focus on patient care. The report also describes improvements in scalability and cost-efficiency, enabling WellBe to process any data volume without the previous constraints. Overall, the solution aims to empower decision-making through real-time data visualization and analysis while ensuring accessibility to healthcare providers and patients.