Article

Design and Evaluation of AI-Powered Framework for Improving Data Quality in Disease and Health Outcome Registries: Study Protocol For A Mixed-Methods Study

2026-03-27

Abstract excerpt

Data quality is essential for effective decision-making and evidence generation in health systems. Despite the increasing use of disease and health outcome registries, many systems suffer from missing, inconsistent, and inaccurate data, limiting their value for policy-making and service improvement. This study aims to develop and evaluate an AI (Artificial intelligence)-powered framework to enhance data quality in...

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Literature Corpus work: 8962df26-c57c-5b36-8aee-91cd8056d16f
DOI: 10.22541/au.177459154.40991223/v1

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