Pain assessment and intervention system

By integrating a multi-module pain assessment and intervention system, and combining the MCTS tree and pain assessment model, the system solves the problems of non-personalized and inaccurate pain assessment in existing technologies, realizes personalized and comprehensive pain assessment and rational allocation of medical resources, and provides in-depth diagnostic evidence.

CN121885170APending Publication Date: 2026-04-17XIAN HONGHUI HOSPITAL
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Patent Information

Application Number
CN202410260784.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-03-07
Publication Date
2026-04-17

AI Technical Summary

Technical Problem

Existing pain assessment and intervention systems cannot achieve personalized assessment, leading to irrational allocation of medical resources. The comprehensiveness and accuracy of pain assessment are insufficient, failing to provide doctors with in-depth diagnostic information.

Method used

It employs modules for user interaction, monitoring and feedback, privacy and security, cache management, assessment and adjustment, comprehensive graph, in-depth assessment, intervention suggestions, and psychological support. Combining the MCTS tree and pain assessment model, it generates an objective and comprehensive pain score through real-time data processing, encryption protection, dynamic management, personalized assessment, and comprehensive graph construction.

Benefits of technology

It enables more personalized pain assessment, improves the comprehensiveness and accuracy of pain assessment, provides doctors with more in-depth diagnostic information, reduces doctors' workload, and enables a more rational allocation of medical resources.

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Abstract

The invention discloses a pain assessment and intervention system, which belongs to the technical field of medical detection and comprises a user interaction module, a monitoring feedback module, a privacy security module, a cache management module, an assessment adjustment module, a comprehensive atlas module, a deep assessment module, an intervention suggestion module and a psychological support module. According to the method, more personalized pain assessment can be realized, the pain problem of a patient can be better managed, the workload of a doctor can be relieved, medical resources can be more reasonably distributed, the comprehensiveness and accuracy of pain assessment are improved, a more complete data basis is provided for comprehensive assessment, a deeper diagnosis basis is provided for the doctor, and the patient experience is improved. And the information related to the pain can be more comprehensively mined.
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