Big data fast indexing and query system based on diagnosis and treatment characteristics of general surgery department

By reorganizing and mapping general surgery diagnosis and treatment data into a continuous physical address space, generating composite index items and implementing hardware-level prefetching, the problem of uncertain retrieval delay in general surgery diagnosis and treatment data is solved, improving retrieval efficiency and system stability.

CN122153123APending Publication Date: 2026-06-05DUHUI HEALTH (CHENGDU) MEDICAL TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
DUHUI HEALTH (CHENGDU) MEDICAL TECH CO LTD
Filing Date
2026-03-10
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Existing technologies suffer from several drawbacks when processing general surgical diagnosis and treatment data. These include a mismatch between the topological relationship of the diagnosis and treatment process and the underlying storage layout, high dispersion of heterogeneous data leading to random seek losses, and the inability of general caching mechanisms to utilize the spatial locality of the diagnosis and treatment path, resulting in uncertain retrieval response delays.

Method used

Heterogeneous diagnostic and treatment data streams are acquired through the data stream acquisition module. The topology order reorganization module parses the metadata and reorganizes it into a patient's full disease course data aggregate. The physical space mapping module maps it to a continuous physical address space. The index key synthesis module generates composite index items. The preloading execution engine realizes hardware-level prefetching. The bandwidth control module dynamically adjusts the storage interval. The feature mapping module realizes cross-modal feature normalization.

Benefits of technology

It reduces disk mechanical latency and memory random access overhead in fast indexing and querying of big data, improves the utilization efficiency of computing resources and storage bandwidth, ensures deterministic retrieval response latency, avoids the movement of invalid data blocks, and maintains the stability of the system under extreme load conditions.

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Abstract

The application relates to the technical field of electric digital data processing, and discloses a big data fast indexing and querying system based on general surgery diagnosis and treatment characteristics, which comprises a data stream acquisition module, a topological sequence reorganization module, a physical space mapping module, an index key synthesis module and a preloading execution engine; the topological sequence reorganization module analyzes heterogeneous diagnosis and treatment data streams and reorganizes the data streams into logically continuous patient whole-course data aggregates; the physical space mapping module sequentially maps the aggregates to a continuous physical address space of a bottom-layer storage; the index key synthesis module generates composite index items according to physical address offsets among data blocks; and the preloading execution engine drives the bottom-layer storage to burst read, the application converts cross-modal diagnosis and treatment correlation queries into one-way sequential reading of the storage, reduces the track delay and access overhead in the searching process, and guarantees the searching response delay certainty under the condition that the data volume continuously grows.
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