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ABSTRACT: Background
The adoption of new technologies and data modernization approaches in public health aims to enhance the use of health data to inform decision-making and improve population health. However, public health departments struggle with legacy systems, siloed data, and privacy concerns, which hamper the adoption of new technology and data sharing with stakeholders. This paper maps how to address these shortcomings by identifying data modernization challenges, initiatives, and progress.Objective
This study aims to characterize evidence for data modernization-associated gaps and best practices in public health.Methods
This scoping review was conducted using the 5-stage framework developed by Arksey and O'Malley and was reported according to the PRISMA-ScR (Preferre
SUBMITTER: Zeba Z
PROVIDER: S-EPMC12551973 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature