Client: MDSAS (A National Provider of Clinical Registry Systems)
Project: Standardised Clinical Quality & Data Assurance Framework
The Challenge
A leading provider of national clinical registries for critical conditions like burns and haemophilia was managing multiple, diverse datasets. Each registry had its own bespoke approach to data quality, validation, and outlier management, creating inefficiencies and inconsistencies that made it difficult to guarantee the reliability of data across different clinical specialities.
A Founder-Led Solution
As Operations Manager, our founder, Jason Ratcliffe, architected and implemented a new, standardised data assurance framework to be applied across all of the company's national registry platforms, based on previous work for the Greater Manchester Critical Care Network. His solution included:
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A Unified Data Model: He designed a standardised safe haven-based model for data warehousing, validation, and connectivity that could be used across all clinical specialities.
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Advanced Quality Assurance: He developed a multi-disciplinary clinical quality and outlier management framework, creating a systematic process for identifying and handling data anomalies.
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Actionable Dashboards: He created a suite of standardised data quality dashboards, providing a clear and consistent view of data integrity across all national registries for the first time.
The Outcome
This new, unified framework dramatically improved the data quality, availability, and reliability across multiple national clinical registries. The initiative created significant operational efficiencies and provided clinicians and researchers with a more trustworthy and consistent data asset for national healthcare analysis, enhancing the company's reputation for data integrity.