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| Format: | Recurso digital |
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Zenodo
2026
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| Accès en ligne: | https://doi.org/10.5281/zenodo.18848564 |
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- The healthcare industry increasingly requires advanced concepts to capture accurate patient data. Although crucial, duplicate patient records remain a persistent challenge, leading to clinical errors, billing discrepancies, and reporting inconsistencies. Given the current challenges facing the healthcare industry, we propose a new state-of-the-art that utilizes Microsoft SQL Server to store data and SQL Server Integration Services (SSIS) to perform data extraction, transformation, and loading (ETL) from various sources to a centralized repository. This approach will not only store the data, but also implement a mandatory filtration process prior to loading to prevent data duplication. By combining these leading industry technologies that support data standardization, deterministic and probabilistic matching techniques, and governance rules, healthcare organizations can significantly improve data quality and patient identity integrity