In the dynamic world of data management, ensuring the quality of data while effectively managing master data can feel like an overwhelming challenge. At this year’s ViVE Conference in Los Angeles, Will Lloyd, Director of Clinical Analytics & Clinical Data Governance at CommonSpirit Health and Charlie Harp, CEO of Clinical Architecture, offered insight into improving data quality within large data ecosystems, particularly in the context of master data management (MDM) via a case study.
Specifically, the discussion covered:
- Understanding the relationship between master data management and data quality.
- The philosophical and technical approaches to data quality initiatives.
- Lessons learned from real-world experiences, focusing on information, people, and software.
A critical aspect highlighted was the need for a distributed approach to data governance, distributing responsibility across the organization rather than centralizing it. This approach fosters data liquidity, democratizes master data management, and establishes a single source of truth, ultimately leading to enhanced trust and credibility in data.
The technical approach involved bringing the data into a centralized system and allowing for normalization and harmonization. CommonSpirit leveraged Clinical Architecture’s Symedical software and Adaptive Workflow platform to facilitate efficient management and control of data, empowering stakeholders to contribute directly to data quality.
To learn what the key to the success of this initiative was, watch the video below.