Integration of automation and AI improved cancer surveillance efficiency in registry systems, indicating a scalable approach.
The Missouri Cancer Registry and Research Center MCRRC implemented a modernization initiative integrating automation and AI to improve the efficiency of cancer surveillance activities. Key challenges included staff adaptation, data variability, and system integration. Post-implementation, case closure times improved, error rates declined, and manual tasks were reduced. These findings support the scalability of informatics-driven modernization across cancer registry systems.
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Zachary et al. (2025) studied this question.
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