A health data incremental synchronization method based on an intelligent cloud database

By using the incremental synchronization method of the intelligent cloud database, the problem of scattered recording of health data in different business processes was solved, achieving overall consistency and event integrity of multi-source data, and ensuring the reliability and traceability of data.

CN122364320APending Publication Date: 2026-07-10NANJING YUANPENG SOFTWARE TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NANJING YUANPENG SOFTWARE TECHNOLOGY CO LTD
Filing Date
2026-04-08
Publication Date
2026-07-10

AI Technical Summary

Technical Problem

In existing technologies, health data is recorded in different business processes, which leads to the disruption of the correlation of the same health event. Cloud data suffers from issues such as event fragmentation, version inconsistency, and difficulty in targeted corrections.

Method used

By using a health data incremental synchronization method based on an intelligent cloud database, change data from multiple health data sources is collected, candidate incremental records are generated, and they are merged into health event synchronization units according to the preset health master index mapping rules. The synchronization granularity is determined by combining field category and status, and individual-level, event-level, or field-level synchronization is performed, followed by de-identification processing and compensation correction.

Benefits of technology

It achieves overall consistency and event integrity of multi-source health data, avoids fragmentation and disconnection during the synchronization process, improves data availability and stability, ensures that data results conform to actual business processes, and supports data reliability and traceability.

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Abstract

This invention relates to the field of cloud databases and discloses a method for incremental synchronization of health data based on an intelligent cloud database. The method includes: collecting change data from multiple health data sources and generating candidate incremental records; matching the candidate incremental records with individual identifiers, event identifiers, data domain identifiers, and event time windows according to the health master index mapping rules to construct health event synchronization units; determining the target synchronization granularity based on the category of changed fields, and determining release conditions by combining the arrival status of the master record, the arrival status of the result record, the arrival status of the audit record, the arrival status of the signature record, and the authorization status; generating a structured incremental synchronization view for the corresponding target end and writing it to the intelligent cloud database when the release conditions are met; and performing compensation processing based on the synchronization unit identifier, the previous version identifier, and the synchronization level of the target end when supplementation, correction, revocation, authorization withdrawal, or health master index merging is detected.
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