Edge computing data co-processing system based on medical internet of things

By using an edge computing data collaborative processing system based on the Internet of Things in healthcare, the system enables the coupled processing of sample status information and testing requirements in medical testing laboratories. This solves the problem of insufficient unified organization and correlation processing in existing automated systems, and improves the synergy and adaptability of the testing process.

CN122392851APending Publication Date: 2026-07-14SHENZHEN DONGYI MEDICAL LAB
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Patent Information

Application Number
CN202610540823.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-22
Publication Date
2026-07-14

AI Technical Summary

Technical Problem

Existing automated systems in medical testing laboratories lack the ability to organize and process data in a unified manner for testing items. This results in reliance on human experience during sample processing and insufficient integrity of the automated process. In particular, when sample volume is insufficient, timeliness is critical, transportation conditions deviate, centrifugation is inadequate, or interference levels increase, it is difficult to achieve effective collaborative control.

Method used

The edge computing data collaborative processing system based on the Internet of Things in healthcare forms a closed-loop processing link from multi-source data acquisition to feature extraction, template matching, project-level detectability determination, collaborative action determination, task issuance and execution tracking. This is achieved through multi-source data acquisition, edge feature extraction, project requirement template management, project-level detectability determination, and collaborative handling decision-making. This enables the coupled processing of sample status information and target test project requirements.

Benefits of technology

It improves the targetedness and traceability of project-level handling in laboratory medicine testing processes, enabling the generation of corresponding handling results for different target testing items of the same sample, thereby improving the coordination of the processing flow and the system's adaptability to the actual operating conditions of the laboratory.

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Abstract

The invention discloses an edge computing data co-processing system based on a medical internet of things, and the system comprises a multi-source data collection unit which is used for accessing sample processing related equipment and information sources in an experimental medical examination scene. The method comprises the following steps: acquiring sample image information, sample loading information, label identification information, time information from sample acquisition to detection, transportation temperature information and centrifugal record information of a to-be-detected sample; according to the edge computing data co-processing system based on the medical internet of things, the sample state information, the target inspection item requirement and the detection resource state are subjected to item-level coupling processing on the edge side; a closed-loop processing link from multi-source collection, feature extraction, template matching, item-level detectability judgment, cooperative action determination, task issuing and execution tracking to parameter updating is formed, so that corresponding processing results can be respectively formed for different target inspection items corresponding to the same sample; and the project-level treatment pertinence and the execution traceability in the experimental medical examination process are improved.
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