CN-121983263-A - Medical unit patient whole-flow management system based on blockchain

CN121983263ACN 121983263 ACN121983263 ACN 121983263ACN-121983263-A

Abstract

The invention relates to the technical field of medical informatization management, in particular to a block chain-based medical unit patient whole-flow management system which comprises a data aggregation module, a hierarchical decision module and a feedback synchronization module. According to the method, the original physiological parameters of the home wearable equipment are periodically reviewed, the clinical rehabilitation scales stored in the diagnosis are matched to align the rehabilitation time sequence of the patient, a stage dynamic physiological data block is output, the physiological data block is injected into a blockchain multi-stage physiological sign analysis model, the clinical rehabilitation deviation values of the patient are quantitatively evaluated, the limited review authority of the health file is dynamically triggered according to the clinical rehabilitation deviation values, the clinical early warning is executed according to the rehabilitation deviation values, the follow-up intervention advice is received and packaged into an encrypted receipt and is synchronized to an originating mechanism, and the post-diagnosis management state is updated. The invention realizes the closed-loop management from acquisition, early warning and authorization to feedback of medical data, solves the technical problems of controlled opening of private data and dynamic verification of rehabilitation reference in a distributed environment, and ensures the instantaneity and accuracy of medical intervention behaviors.

Inventors

Kong Zinan
SUN JIWEN

Assignees

江苏迈泰克医疗科技有限公司

Dates

Publication Date: 20260505
Application Date: 20260402

Claims (7)

1. A blockchain-based healthcare unit patient whole procedure management system, comprising: The data aggregation module periodically reviews the original physiological parameters generated by the home wearing equipment through the encryption channel, synchronously matches the clinical rehabilitation scale of the stage evidence in the patient diagnosis, and outputs the stage dynamic physiological data block containing the original physiological parameters and the characteristics of the clinical rehabilitation scale through data fusion processing; The hierarchical decision module is used for receiving the stage dynamic physiological data block and inputting the stage dynamic physiological data block into a multi-stage physiological sign analysis model to execute consensus calculation, analyzing original physiological parameters and clinical rehabilitation scales in the stage dynamic physiological data block, and calculating a rehabilitation deviation value; And the feedback synchronization module is used for receiving the recovery deviation value and the opened limited access permission, issuing a reminding instruction to a patient end according to the recovery deviation value, receiving a follow-up intervention suggestion generated based on the limited access permission, packaging the follow-up intervention suggestion into an encrypted receipt, and reversely synchronizing the encrypted receipt to an originating mechanism so as to update the whole-flow management state.
2. The blockchain-based medical unit patient whole-flow management system according to claim 1, wherein the process of generating the stage dynamic physiological data block comprises the steps of establishing a communication link with the home wearable device through the encryption channel, retrieving an original physiological parameter comprising a device identifier, an acquisition timestamp and a physical sign value, retrieving a pre-stored clinical rehabilitation scale from a distributed account book by taking the patient identifier in the original physiological parameter as an index, extracting an expected rehabilitation curve parameter and a clinical threshold benchmark in the clinical rehabilitation scale, identifying the acquisition timestamp of the original physiological parameter, matching a discrete reference value of a corresponding time node in the expected rehabilitation curve parameter, generating a pair Ji Biaoche component consistent with the original physiological parameter dimension, performing a difference operation and a deviation calculation on the original physiological parameter and the alignment scale component, mapping and extracting fluctuation characteristics of the original physiological parameter and progress characteristics of the clinical rehabilitation scale, and performing structural packaging on the original physiological parameter, the fluctuation characteristics, the alignment scale component and the decision progress characteristics, generating the stage dynamic physiological data block and grading the stage dynamic physiological data block.
3. The blockchain-based medical unit patient total flow management system of claim 2, wherein the process of analyzing and calculating the rehabilitation deviation value comprises the steps of comparing hash characteristic values of the multi-stage physiological sign analysis model through all consensus nodes before receiving the stage dynamic physiological data blocks, verifying version consistency of the multi-stage physiological sign analysis model in a distributed environment, enabling the multi-stage physiological sign analysis model to consist of a data deserialization layer, a normalization mapping layer, a weighting matrix calculation layer and a gain correction layer, receiving the stage dynamic physiological data blocks after verification consistency, enabling all the consensus nodes to achieve prespecified calculation on the stage dynamic physiological data blocks, locally calling the multi-stage physiological sign analysis model through all the consensus nodes, executing deserialization processing, analyzing and extracting the original physiological parameters, the fluctuation characteristics, the alignment scale components and the alignment scale components, inputting deviation analysis to the original physiological parameters, calculating a real-time physiological deviation vector, enabling the characteristics to be subjected to statistics of the fluctuation characteristics to be subjected to calculation, enabling all the consensus nodes to carry out calculation to obtain the prespecified calculation, enabling the fluctuation characteristics to be subjected to the fluctuation deviation value, and outputting the real-time rehabilitation deviation vector value, and enabling the recovery deviation value to be subjected to the statistics deviation value to the statistics calculation to be verified.
4. The blockchain-based medical unit patient whole procedure management system according to claim 1, wherein the process of automatically triggering the limited retrieval authority for the corresponding health record comprises retrieving a weight distribution matrix corresponding to a sensor type from the multi-stage physiological sign analysis model according to the equipment identification in the stage dynamic physiological data block, logically checking the recovery deviation value by using the weight distribution matrix, confirming the calculation validity of the recovery deviation value, logically comparing the recovery deviation value with a clinical threshold benchmark in the clinical recovery scale, judging whether the recovery deviation value reaches the preset threshold, extracting the patient identification in the stage dynamic physiological data block by the physiological sign analysis model if the recovery deviation value reaches the preset threshold, generating a limited retrieval token comprising an access path and a failure count by combining a current time stamp, and writing the limited retrieval token into an authority control token of the blockchain, activating the limited retrieval of the corresponding health record for the patient identification, and transmitting the activation state and the limited retrieval state to the multi-stage synchronous retrieval feedback module.
5. The blockchain-based medical unit patient whole-flow management system according to claim 4 is characterized in that the process of issuing a reminding instruction and receiving a follow-up intervention suggestion comprises the steps that the feedback synchronization module receives the recovery deviation value, matches corresponding reminding grades, converts the recovery deviation value into a reminding instruction comprising an early warning value and response time limit and issues the reminding instruction to the patient end, the response time limit is a global state parameter which is stored in an intelligent contract and is bound with different reminding grades, receives an archive retrieval request initiated by an external terminal, extracts a digital signature of the external terminal, performs matching verification with the limited retrieval tokens in the authority control list, opens a reading authority of a corresponding health archive according to the access path when the matching verification passes and the limited retrieval tokens do not reach the failure count, acquires diagnosis and treatment guiding information fed back by the external terminal based on the health archive, and identifies a diagnosis and treatment action identifier and a follow-up intervention suggestion in the diagnosis guiding information, and generates an original follow-up intervention suggestion.
6. The blockchain-based healthcare unit patient whole procedure management system according to claim 5, wherein the process of limiting the invalidation of the retrieval token comprises monitoring the invalidation count and response time limit, triggering a blockchain consensus instruction when one of the invalidation count and the response time limit is reached, forcing a temporary decryption key corresponding to the access path to execute memory zero, and synchronously updating the state of the authority control list to be unavailable, and blocking physical reading of the health record by the external terminal.
7. The blockchain-based medical unit patient full-flow management system of claim 5, wherein the process of packaging the encrypted response piece and updating the full-flow management state comprises the steps of extracting an original follow-up intervention suggestion, associating the recovery deviation value, the call record of the limited access token and the acquisition timestamp, constructing a follow-up service data set, extracting a data abstract of the follow-up service data set by utilizing a secure hash algorithm, encrypting and packaging the follow-up service data set by utilizing an asymmetric encryption algorithm to generate the encrypted response piece with unique identification, sending the encrypted response piece to a distributed account book node of an originating mechanism, writing the encrypted response piece into a block storage space by a consensus mechanism, and executing state machine skip on a recovery evaluation field in the full-flow management state by the originating mechanism through a blockchain reverse predictor node to complete service closed loop of a current time sequence node.

Description

Medical unit patient whole-flow management system based on blockchain Technical Field The invention relates to the technical field of medical informatization management, in particular to a block chain-based medical unit patient whole-flow management system. Background With the development of intelligent medical treatment and remote rehabilitation technology, home physiological monitoring after patient diagnosis by using wearable internet of things equipment has become an important component of whole-process management. The existing remote monitoring scheme mostly adopts an alarm mode with a preset fixed threshold, namely, the real-time physiological parameters (such as heart rate and blood pressure) of a patient are collected, and early warning is triggered when the parameters exceed general standard values. However, the prior art has the obvious defect in practical application that firstly, the prior art only focuses on real-time physiological fluctuation after patient diagnosis, and the rehabilitation scale in the patient diagnosis and the home data after diagnosis cannot be deeply fused. Because of the significant differences of clinical sign bases and rehabilitation rates of different patients, single-dimension monitoring deviating from clinical references leads to lower early warning precision and cannot accurately reflect the actual rehabilitation deviation of the patients. Secondly, the traditional health file access mechanism usually adopts a static authorization or manual approval mode, and the data opening degree can not be dynamically adjusted according to the emergency degree of the illness state of the patient. When a potential risk occurs, follow-up intervention is often not timely caused by limited authority, or sensitive medical privacy of a patient is revealed caused by excessive authority, so that dynamic balance between privacy protection and medical treatment is difficult to achieve. In addition, the generation of the follow-up visit suggestion is often mutually independent from an authorized source and a real-time risk state, and the lack of strong correlation verification based on a blockchain consensus mechanism causes that the compliance of follow-up visit behaviors cannot be traced, and the whole-flow management state update has hysteresis. The existing remote rehabilitation monitoring has the problems that household sign data and clinical evidence-preserving references lack of time sequence association, and risk response and a data authorization mechanism are mutually isolated. To this end, a blockchain-based healthcare unit patient full-flow management system is proposed. Disclosure of Invention The invention aims to provide a block chain-based medical unit patient whole-flow management system for solving the problems in the background technology. In order to achieve the above purpose, the present invention provides the following technical solutions: a blockchain-based healthcare unit patient whole procedure management system comprising: The data aggregation module periodically reviews the original physiological parameters generated by the home wearing equipment through the encryption channel, synchronously matches the clinical rehabilitation scale of the stage evidence in the patient diagnosis, and outputs the stage dynamic physiological data block containing the original physiological parameters and the characteristics of the clinical rehabilitation scale through data fusion processing; The hierarchical decision module is used for receiving the stage dynamic physiological data block and inputting the stage dynamic physiological data block into a multi-stage physiological sign analysis model to execute consensus calculation, analyzing original physiological parameters and clinical rehabilitation scales in the stage dynamic physiological data block, and calculating a rehabilitation deviation value; And the feedback synchronization module is used for receiving the recovery deviation value and the opened limited access permission, issuing a reminding instruction to a patient end according to the recovery deviation value, receiving a follow-up intervention suggestion generated based on the limited access permission, packaging the follow-up intervention suggestion into an encrypted receipt, and reversely synchronizing the encrypted receipt to an originating mechanism so as to update the whole-flow management state. Preferably, the process of generating the stage dynamic physiological data block comprises the steps of establishing a communication link with the home wearable equipment through the encryption channel, calling an original physiological parameter comprising equipment identification, acquisition time stamp and physical sign value, retrieving a pre-stored clinical rehabilitation scale from a distributed account book by taking patient identification in the original physiological parameter as an index, extracting an expected rehabilitation curve parameter and a clinical thresho