CN113948172A - Inspection result sharing mutual recognition system - Google Patents
Inspection result sharing mutual recognition system Download PDFInfo
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- CN113948172A CN113948172A CN202111211604.7A CN202111211604A CN113948172A CN 113948172 A CN113948172 A CN 113948172A CN 202111211604 A CN202111211604 A CN 202111211604A CN 113948172 A CN113948172 A CN 113948172A
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H30/00—ICT specially adapted for the handling or processing of medical images
Abstract
The invention discloses a checking result sharing mutual-recognition system, which comprises: inspection module, data processing module and clinical application module, inspection module gathers the inspection report data and the inspection image data of each hospital in to the region, data processing module receives the data that inspection module gathered, washs through the formatting, forms unified standard, uploads to the block chain and saves data, clinical application module provides intelligent decision for clinician, and the inspection result that the historical inspection information or other medical institutions that indicate clinician's patient do provides the data sharing that the inspection mutually recognized for clinician. The invention solves the problem of medical resource waste caused by the difficulty in sharing the existing medical examination results.
Description
Technical Field
The invention relates to the technical field of data sharing, in particular to a checking result sharing mutual-recognition system.
Background
In the existing image center system, the CDR system plays an important role in inspection and inspection data sharing. However, due to unbalanced distribution of medical resources, different hospital levels, different accuracy of examination instruments among medical institutions, and the like, when a patient is changed from one hospital to another hospital for treatment, many times, the new hospital does not recognize various medical examination results made in the previous hospital, and the patient is required to perform medical examination again.
Based on the latest national policy, the shared mutual recognition of the inspection and inspection report and the image data in the region needs to be realized, and the data center system lacks the data specification standard of the data mutual recognition and the reliability of the data mutual recognition. Data sharing is difficult to realize, authenticity and accuracy of the data cannot be guaranteed, and waste of medical resources is caused.
Disclosure of Invention
Therefore, the invention provides an inspection result sharing and mutual-recognition system to solve the problem that medical resources are wasted due to the fact that the existing medical inspection results are difficult to share.
In order to achieve the above purpose, the invention provides the following technical scheme:
the invention discloses a checking result sharing mutual-recognition system, which comprises: inspection module, data processing module and clinical application module, inspection module gathers the inspection report data and the inspection image data of each hospital in to the region, data processing module receives the data that inspection module gathered, washs through the formatting, forms unified standard, uploads to the block chain and saves data, clinical application module provides intelligent decision for clinician, and the inspection result that the historical inspection information or other medical institutions that indicate clinician's patient do provides the data sharing that the inspection mutually recognized for clinician.
Further, the inspection and verification module includes: all data of the radiation system, the electrocardio system, the ultrasonic system, the endoscope system, the case system and the inspection system are collected and sent to the data processing module.
Further, the data processing module receives the data sent by the checking module, and the data processing module includes: the device comprises a data cleaning unit and a data storage unit;
the data cleaning unit carries out formatting cleaning on the received heterogeneous data to form standardized standard data which are consistent and approved in an area, and provides consistent data for data sharing mutual authentication;
and the data storage unit uploads the processed data to a block chain for storage, and distributed storage is performed through the block chain.
Further, the data acquired by the data cleaning unit is subjected to normalization processing of formatting, missing information filling and naming according to a normalized data dictionary, and the normalization processing comprises the following basic information of the patient: age, sex, place of birth, type of medical insurance, type of visit; checking the inspection information: examination type, examination part, examination item, examination method, and examination time.
Further, the data storage unit checks the block chain, and if the check fails, it is determined that a block in which the medical examination result is illegally tampered exists in the block chain, and the specific checking process includes:
acquiring a plurality of blocks in a block chain according to a preset rule; analyzing the blocks to obtain block hash codes of the blocks; if the block hash codes are connected end to end, determining that the block chain passes the integrity check; otherwise, the block chain does not pass the integrity check, and the blocks with the medical inspection results being illegally tampered exist in the block chain.
Further, the verification process includes:
analyzing the block to obtain block information; generating a check hash code corresponding to the block by using the block information obtained by analysis; using the check hash code and the block hash code to carry out consistency check on the block;
comparing the check hash code with the block hash code, and if the check hash code is consistent with the block hash code, determining that the block passes consistency check; otherwise, determining that the block does not pass the consistency check, and illegally tampering the medical examination result carried by the block.
Further, the verification process includes: acquiring a block group in the block chain; the block group is provided with a corresponding block group hash code; analyzing the block group to obtain block information of a plurality of blocks in the block group; generating a block group check hash code corresponding to the block group by using the block information of the plurality of blocks; and carrying out consistency check on the block group by using the block group check hash code and the block group hash code.
Further, the step of performing consistency check on the block group by using the block group check hash code and the block group hash code includes:
comparing the block group check hash code with the block hash code, if the block group check hash code is consistent with the block hash code, determining that the block group passes consistency check, and each block in the block group passes consistency check; otherwise, determining that the blocks with the medical examination results illegally tampered exist in the block group.
Further, the clinical application module automatically acquires a patient main index number and an examination type of a clinical system for preparing an order, screens out similar examination data in a database through an NLP algorithm, and judges whether the current examination order belongs to repeated examination, excessive examination or invalid examination.
Further, the patient primary index number includes: case history number, identification card number, and doctor's advice number.
The invention has the following advantages:
the invention discloses an inspection result sharing and mutual recognition system, which provides inspection and inspection mutual recognition on the basis of data sharing, reduces repeated inspection and improves the diagnosis efficiency of patients; data cleaning after data acquisition provides standardized standard data for mutual recognition of inspection data and provides consensus for mutual recognition; the acquired data is stored by adopting a block chain, so that the reliability of the data cannot be tampered; the clinician intelligent decision support provides convenient and efficient judgment for mutual recognition of examination and inspection, improves the working efficiency of the clinician, and avoids repeated examination, excessive examination and invalid examination.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
The structures, ratios, sizes, and the like shown in the present specification are only used for matching with the contents disclosed in the specification, so as to be understood and read by those skilled in the art, and are not used to limit the conditions that the present invention can be implemented, so that the present invention has no technical significance, and any structural modifications, changes in the ratio relationship, or adjustments of the sizes, without affecting the effects and the achievable by the present invention, should still fall within the range that the technical contents disclosed in the present invention can cover.
Fig. 1 is an architecture diagram of an inspection result sharing mutual authentication system according to an embodiment of the present invention;
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Examples
The embodiment discloses a mutual recognition system for checking and checking result sharing, which comprises: inspection module, data processing module and clinical application module, inspection module gathers the inspection report data and the inspection image data of each hospital in to the region, data processing module receives the data that inspection module gathered, washs through the formatting, forms unified standard, uploads to the block chain and saves data, clinical application module provides intelligent decision for clinician, and the inspection result that the historical inspection information or other medical institutions that indicate clinician's patient do provides the data sharing that the inspection mutually recognized for clinician.
The inspection and verification module comprises: all data of the radiation system, the electrocardio system, the ultrasonic system, the endoscope system, the case system and the inspection system are collected and sent to the data processing module. The inspection and inspection data in the unused area have different standards due to different equipment, and are easy to deviate, so that the data need to be processed to form a uniform standard, and the data can be conveniently called in the later period.
The data processing module receives the data sent by the checking module, and comprises: the device comprises a data cleaning unit and a data storage unit;
the data cleaning unit carries out formatting cleaning on the received heterogeneous data to form standardized standard data which are consistent and approved in an area, and provides consistent data for data sharing mutual authentication;
and the data storage unit uploads the processed data to a block chain for storage, and distributed storage is performed through the block chain.
The data after the data cleaning unit collects are subjected to formatting, missing information filling and naming unification treatment according to a normalized data dictionary, and the treatment comprises the following basic information of a patient: age, sex, place of birth, type of medical insurance, type of visit; checking the inspection information: examination type, examination part, examination item, examination method, and examination time.
The data storage unit checks the block chain, if the check is not passed, it is determined that a block with a medical inspection result which is illegally tampered exists in the block chain, and the specific checking process is as follows:
acquiring a plurality of blocks in a block chain according to a preset rule; analyzing the blocks to obtain block hash codes of the blocks; if the block hash codes are connected end to end, determining that the block chain passes the integrity check; otherwise, the block chain does not pass the integrity check, and the blocks with the medical inspection results being illegally tampered exist in the block chain.
Analyzing the block to obtain block information; generating a check hash code corresponding to the block by using the block information obtained by analysis; using the check hash code and the block hash code to carry out consistency check on the block;
comparing the check hash code with the block hash code, and if the check hash code is consistent with the block hash code, determining that the block passes consistency check; otherwise, determining that the block does not pass the consistency check, and illegally tampering the medical examination result carried by the block.
Acquiring a block group in the block chain; the block group is provided with a corresponding block group hash code; analyzing the block group to obtain block information of a plurality of blocks in the block group; generating a block group check hash code corresponding to the block group by using the block information of the plurality of blocks; and carrying out consistency check on the block group by using the block group check hash code and the block group hash code.
The step of performing consistency check on the block group by using the block group check hash code and the block group hash code includes:
comparing the block group check hash code with the block hash code, if the block group check hash code is consistent with the block hash code, determining that the block group passes consistency check, and each block in the block group passes consistency check; otherwise, determining that the blocks with the medical examination results illegally tampered exist in the block group.
After the verification is completed, the data can be ensured not to be illegally tampered, and the diagnostic data information of the patient can be fed back really.
The clinical application module automatically obtains a patient master index number and a check type for which a clinician prepares to order in the clinical system, the patient master index number comprising: the medical record number, the identification card number and the medical advice number comprise: medical record number, identification card number, doctor's advice number; similar inspection data are screened out in a database through an NLP algorithm, and whether the current inspection bill is a repeat inspection, an over inspection or an invalid inspection is judged.
The historical examination data is identified and understood through a natural language processing NLP algorithm, and clinical intelligent decision support is formed, wherein the clinical intelligent decision support comprises HIS hospital information system medical advice intelligent decision support and EMR electronic case intelligent decision support. The quick diagnosis of doctors is facilitated, and medical resources are saved.
The inspection and inspection result sharing mutual-confirmation system disclosed by the embodiment provides inspection and inspection mutual-confirmation on the basis of data sharing, reduces repeated inspection, and improves the patient diagnosis efficiency; data cleaning after data acquisition provides standardized standard data for mutual recognition of inspection data and provides consensus for mutual recognition; the acquired data is stored by adopting a block chain, so that the reliability of the data cannot be tampered; the clinician intelligent decision support provides convenient and efficient judgment for mutual recognition of examination and inspection, improves the working efficiency of the clinician, and avoids repeated examination, excessive examination and invalid examination.
Although the invention has been described in detail above with reference to a general description and specific examples, it will be apparent to one skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.
Claims (10)
1. An inspection result sharing mutual authentication system, the system comprising: inspection module, data processing module and clinical application module, inspection module gathers the inspection report data and the inspection image data of each hospital in to the region, data processing module receives the data that inspection module gathered, washs through the formatting, forms unified standard, uploads to the block chain and saves data, clinical application module provides intelligent decision for clinician, and the inspection result that the historical inspection information or other medical institutions that indicate clinician's patient do provides the data sharing that the inspection mutually recognized for clinician.
2. The inspection verification result sharing mutual authentication system of claim 1, wherein said inspection verification module comprises: all data of the radiation system, the electrocardio system, the ultrasonic system, the endoscope system, the case system and the inspection system are collected and sent to the data processing module.
3. The inspection result sharing mutual authentication system of claim 1, wherein said data processing module receives data sent by the inspection module, the data processing module comprises: the device comprises a data cleaning unit and a data storage unit;
the data cleaning unit carries out formatting cleaning on the received heterogeneous data to form standardized standard data which are consistent and approved in an area, and provides consistent data for data sharing mutual authentication;
and the data storage unit uploads the processed data to a block chain for storage, and distributed storage is performed through the block chain.
4. The inspection result sharing mutual recognition system of claim 3, wherein the data collected by the data washing unit is subjected to a normalization process of data formatting, missing information padding and naming according to a normalized data dictionary, and comprises the following basic information of the patient: age, sex, place of birth, type of medical insurance, type of visit; checking the inspection information: examination type, examination part, examination item, examination method, and examination time.
5. The system as claimed in claim 3, wherein the data storage unit verifies the blockchain, and if the verification fails, it is determined that there is a block in the blockchain where the medical inspection result is illegally tampered with, and the specific verification process is as follows:
acquiring a plurality of blocks in a block chain according to a preset rule; analyzing the blocks to obtain block hash codes of the blocks; if the block hash codes are connected end to end, determining that the block chain passes the integrity check; otherwise, the block chain does not pass the integrity check, and the blocks with the medical inspection results being illegally tampered exist in the block chain.
6. The system for checking shared mutual authentication of inspection results according to claim 5, wherein said verification process comprises:
analyzing the block to obtain block information; generating a check hash code corresponding to the block by using the block information obtained by analysis; using the check hash code and the block hash code to carry out consistency check on the block;
comparing the check hash code with the block hash code, and if the check hash code is consistent with the block hash code, determining that the block passes consistency check; otherwise, determining that the block does not pass the consistency check, and illegally tampering the medical examination result carried by the block.
7. The system for checking shared mutual authentication of inspection results according to claim 5, wherein said verification process comprises:
acquiring a block group in the block chain; the block group is provided with a corresponding block group hash code; analyzing the block group to obtain block information of a plurality of blocks in the block group; generating a block group check hash code corresponding to the block group by using the block information of the plurality of blocks; and carrying out consistency check on the block group by using the block group check hash code and the block group hash code.
8. The inspection verification result sharing mutual authentication system of claim 7,
the step of performing consistency check on the block group by using the block group check hash code and the block group hash code includes:
comparing the block group check hash code with the block hash code, if the block group check hash code is consistent with the block hash code, determining that the block group passes consistency check, and each block in the block group passes consistency check; otherwise, determining that the blocks with the medical examination results illegally tampered exist in the block group.
9. The system of claim 1, wherein the clinical application module automatically obtains the patient index number and the examination type of the clinical system to be ordered, screens out similar examination data in the database by the NLP algorithm, and determines whether the current examination order belongs to the repeat examination, the over-examination or the invalid examination.
10. The system of claim 9, wherein the patient primary index number comprises: case history number, identification card number, and doctor's advice number.
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| CN202111211604.7A CN113948172A (en) | 2021-10-18 | 2021-10-18 | Inspection result sharing mutual recognition system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116864095A (en) * | 2023-08-30 | 2023-10-10 | 北京慧兰医疗科技有限公司 | Monitoring management system for anticoagulation data |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116864095A (en) * | 2023-08-30 | 2023-10-10 | 北京慧兰医疗科技有限公司 | Monitoring management system for anticoagulation data |
| CN116864095B (en) * | 2023-08-30 | 2023-12-29 | 北京慧兰医疗科技有限公司 | Monitoring management system for anticoagulation data |
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