Designing A Metadata-Driven Data Quality Framework for Healthcare: Propose A Framework that Leverages Metadata Management to Establish Robust Data Quality Standards in Healthcare Settings

Author(s)	Saurabh Gupta
Country	India
Abstract	The purpose of this study was to provide deep insights about the metadata-driven healthcare data quality. This would solve digital health data quality challenges. Data correctness, consistency, and dependability matter more in healthcare. This solution improves data governance, sharing, and regulatory compliance through metadata. A comprehensive, systematic literature review analysis identified the most important hospital information management themes. The results demonstrate how information can enrich data and facilitate the use of AI and block chain technology. Healthcare institutions and research should use metadata-driven models, the article finds. This will enhance patient outcomes and healthcare data management.
Keywords	Metadata-driven, Data Quality Framework, dependability, regulatory compliance and quality challenges.
Published In	Volume 5, Issue 4, July-August 2023
Published On	2023-08-23
DOI	https://doi.org/10.36948/ijfmr.2023.v05i04.29248
Short DOI	https://doi.org/g8sg75

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International Journal For Multidisciplinary Research