An electronic health record quality supervision system and method

Abstract

This invention relates to the field of archival quality supervision technology, and in particular to an electronic health record quality supervision system and method. The system includes an archival quality assessment center, an appearance evaluation unit, a usability assessment unit, a content integrity analysis unit, an anti-theft security unit, and an assessment display unit. This invention performs quality evaluation and analysis in a point-to-surface manner. Specifically, it initially analyzes the external and internal visual appearance of the target electronic health record from a point perspective, accompanied by a content integrity quality assessment to determine whether the content integrity quality of the target electronic health record is normal. It also analyzes the usability quality of the target electronic health record from a usability perspective to reduce single-quality risks. Simultaneously, it analyzes the security quality of the target electronic health record from a security perspective, and evaluates the overall quality of the target electronic health record to understand the overall quality of the record's archiving.

Description

Technical Field

[0001] This invention relates to the field of archival quality supervision technology, and in particular to an electronic health record quality supervision system and method. Background Technology

[0002] Electronic health records are electronic historical records created directly during health-related activities, possessing archival and reference value. Stored in a computer system, they provide services to individuals and are secure and confidential, serving as lifelong personal health records. Electronic health records are centered on an individual's health, spanning their entire lifespan, encompassing various health-related factors, and enabling dynamic collection of information through multiple channels. They serve as information resources to meet residents' needs for self-care, health management, and health decision-making. Therefore, it is necessary to ensure the accuracy of data in electronic health records, including resident personal information, medical diagnoses, and medication prescriptions; to guarantee the completeness of health record information, ensuring the inclusion of all necessary health information; to ensure consistency of health record information across different departments or systems, avoiding data conflicts or duplicate entries; and to ensure the timely updating and recording of health record information to reflect the patient's latest health status.

[0003] Electronic health record quality supervision can ensure patient safety, improve medical quality, promote medical research, increase medical efficiency, enhance patient satisfaction, and meet regulatory requirements. However, current technologies cannot conduct targeted quality assessments of the accuracy, completeness, uniqueness, usability, and security of target electronic health records. This leads to an increase in individual quality risks associated with target electronic health records and makes it impossible to accurately analyze the overall quality of electronic health record creation. Consequently, the accuracy of overall quality evaluation and management efficiency of target electronic health records are reduced. Furthermore, even with complete content, it is impossible to analyze the uniqueness of retrieval, hindering accurate retrieval and reducing the uniqueness of target electronic health records.

[0004] To address the aforementioned technical shortcomings, a solution is proposed. Summary of the Invention

[0005] The purpose of this invention is to provide an electronic health record quality supervision system and method to address the aforementioned technical deficiencies. This invention employs a point-to-surface approach to quality evaluation and analysis. Firstly, it analyzes the external and internal visual characteristics of the target electronic health record from a point-to-point perspective. Then, based on the premise that the external and internal accuracy of the target electronic health record is satisfactory, it further evaluates the completeness of the content to determine whether the content completeness is normal. Secondly, it analyzes the usability of the target electronic health record from a side-by-side usage perspective. Thirdly, it manages the target electronic health record reasonably and in a targeted manner through information feedback to reduce single-issue quality risks. Finally, it analyzes the security quality of the target electronic health record from a security perspective, effectively reducing the risk of leakage. Finally, it evaluates the overall quality of the target electronic health record through information fusion evaluation to enable reasonable quality management and understand the overall quality of the target electronic health record's establishment.

[0006] The objective of this invention can be achieved through the following technical solution: an electronic health record quality supervision system, comprising a record quality assessment center, an appearance assessment unit, a usability assessment unit, a content integrity analysis unit, an anti-theft security unit, and an assessment display unit;

[0007] The document quality assessment center is used to retrieve the basic format information and available information of the target electronic health record, send the basic format information to the appearance assessment unit for basic accuracy assessment feedback analysis, compare and analyze the obtained direct observation assessment coefficients to obtain qualified or unqualified signals, and send the available information to the usability assessment unit for basic accuracy assessment feedback analysis, compare and analyze the obtained direct observation assessment coefficients to obtain qualified or unqualified signals.

[0008] The content integrity analysis unit is used to evaluate and analyze the completeness of the collected electronic health records to obtain complete or missing signals.

[0009] The usability assessment unit is used to evaluate and analyze the quality of archival information use of the received usable information, compare and analyze the obtained retrieval assessment index and access evaluation coefficient, and obtain usability signals or usability risk signals; the anti-theft security unit is used to conduct information security leakage risk feedback analysis on the security information of the collected target electronic health records, and obtain confidentiality security signals or confidentiality risk signals.

[0010] The system acquires the number of complete signals, usable signals, and confidentiality and security signals. It sets the number of complete signals, usable signals, and confidentiality and security signals as the archive quality index and performs discrimination processing on the archive quality index to obtain qualified or unqualified signals.

[0011] Preferably, the basic accuracy assessment feedback analysis process is as follows:

[0012] The system acquires the electronic health record to be processed and sets it as the target electronic health record. It collects the basic format information of the target electronic health record, which includes page difference value and content evaluation value. The system performs discrimination processing on the page difference value and the content evaluation value. Based on the comparison results of the page difference value with the preset page difference value threshold and the comparison results of the content evaluation value with the preset content evaluation value threshold, the system obtains the direct evaluation coefficient. The system then performs comparative analysis on the direct evaluation coefficient to obtain a qualified signal or an unqualified signal.

[0013] The page difference value indicates the number of differences between the page information of the target electronic health record and the standard page information. The page information includes the page background color and page feature images. The content evaluation value indicates the number of differences between the basic information of the target electronic health record and the standard basic information. The basic information includes the number of pages and paragraphs of the target electronic health record.

[0014] Preferably, the process for evaluating and analyzing the completeness of the archive content is as follows:

[0015] The completeness information of the target electronic health record is obtained. The completeness information includes the information difference and the information replication value. The information difference and the information replication value are labeled as DX and XF, respectively. The information difference DX and the information replication value XF are substituted into the formula. The complete quality evaluation coefficient is obtained, where a1 and a2 are the preset weighting factor coefficients of the difference in archival information and the information replication value, respectively, a3 is the preset error correction factor coefficient, and W is the complete quality evaluation coefficient. The complete quality evaluation coefficient W is then processed to obtain the complete signal or the missing signal.

[0016] Preferably, the archive information difference represents the number of differences between the actual stored information and the standard stored information of the target electronic health record, and the stored information includes the number of stored bytes and the storage memory value; the information replication value represents the number of differences between the content text information of the target electronic health record and the standard content text information, and the content text information includes the font color and the font size.

[0017] Preferably, when generating a complete signal: the input information when the target electronic health record is retrieved is obtained, the input information represents the set search terms, the number of target electronic health records appearing in the search is obtained, and the number of target electronic health records appearing in the search is set as the search evaluation value, and the search evaluation value is compared and analyzed to obtain a unique signal or replacement instruction. When generating the replacement instruction, the user information of the target electronic health record is obtained, the user information includes the last six digits of the ID number and the name, and the characters of the name and the last six digits of the ID number are extracted, and the string formed by the character extraction of the name and the last six digits of the ID number is set as the search setting string.

[0018] Preferably, the quality assessment and analysis process for the archival information is as follows:

[0019] The system obtains available information from the target electronic health record, including a retrieval evaluation index and an access evaluation coefficient. This retrieval evaluation index and access evaluation coefficient are then compared and analyzed against preset thresholds for the retrieval evaluation index and access evaluation coefficient. If both the retrieval evaluation index and the access evaluation coefficient are greater than or equal to the preset threshold, a usable signal is generated. If either the retrieval evaluation index or the access evaluation coefficient is less than the preset threshold, a usable risk signal is generated.

[0020] Preferably, the retrieval evaluation index represents the proportion of valid retrievals out of the total number of times the target electronic health record is retrieved. Valid retrievals indicate that the target electronic health record does not lack normal performance characteristics after being retrieved. Normal performance characteristics include reading and processing. The access evaluation coefficient represents the number of valid decodings out of the total number of times the target electronic health record is accessed. Valid decodings indicate that the target electronic health record can be decoded and displayed normally during access.

[0021] Preferably, the information security leakage risk feedback analysis process is as follows:

[0022] The security information of the target electronic health record is obtained. The security information includes the confidentiality assessment coefficient and the anti-theft assessment index. The confidentiality assessment coefficient and the anti-theft assessment index are judged and processed. The number of zeros in the confidentiality assessment coefficient and the anti-theft assessment index is set as the information security index. The information security index is judged and processed as follows: if the information security index is zero, it is judged as a confidentiality security signal; if the information security index is not zero, it is judged as a confidentiality risk signal.

[0023] Preferably, the confidentiality evaluation coefficient represents the number of times abnormal features appear during the storage and transmission of the target electronic health record, including tampering and loss; the anti-theft evaluation index represents the number of times the anti-theft measures of the target electronic health record exceed a preset threshold, including password change interval and automatic information backup interval.

[0024] The beneficial effects of this invention are as follows:

[0025] (1) This invention conducts quality evaluation analysis from point to surface, that is, it initially analyzes the external and internal intuitive performance of the target electronic health record from the point perspective, and further evaluates the content integrity quality based on the external and internal accuracy quality of the target electronic health record. That is, it analyzes the text content and the information content of the record itself from two points to determine whether the content integrity quality of the target electronic health record is normal. At the same time, it helps to provide data support for the subsequent overall quality evaluation of the target electronic health record. It also analyzes the usability quality of the target electronic health record from the perspective of side use, and manages the target electronic health record reasonably and in a targeted manner through information feedback to reduce the single quality risk of the target electronic health record.

[0026] (2) This invention analyzes the security quality of the target electronic health record from the perspective of security, which can effectively reduce the risk of leakage of the target electronic health record, and evaluate the overall quality of the target electronic health record through information fusion evaluation. Furthermore, it provides an intuitive understanding of the overall quality evaluation results of the target electronic health record through information feedback, so as to carry out reasonable quality management of the target electronic health record and understand the overall quality of the establishment of the target electronic health record. Attached Figure Description

[0027] The invention will now be further described with reference to the accompanying drawings;

[0028] Figure 1 This is a flowchart of the system of the present invention;

[0029] Figure 2 This is a reference analysis diagram of the method of the present invention. Detailed Implementation

[0030] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0031] Example 1:

[0032] Please see Figures 1 to 2 As shown, this invention is an electronic health record quality supervision system, including a record quality assessment center, an appearance evaluation unit, a usability assessment unit, a content integrity analysis unit, an anti-theft security unit, and an assessment display unit. The record quality assessment center has a one-way communication connection with the appearance evaluation unit and the usability assessment unit. The appearance evaluation unit has a one-way communication connection with the content integrity analysis unit and the assessment display unit. The content integrity analysis unit has a one-way communication connection with the assessment display unit and the anti-theft security unit. The usability assessment unit has a one-way communication connection with the assessment display unit and the anti-theft security unit. The anti-theft security unit has a one-way communication connection with the assessment display unit.

[0033] The archive quality assessment center is used to retrieve the basic format information and usability information of the target electronic health record, and send the basic format information and usability information to the appearance assessment unit and usability assessment unit respectively.

[0034] The appearance evaluation unit is used to perform basic accuracy evaluation and feedback analysis on the received basic format information. That is, it evaluates the quality of the target electronic health record from its external and internal visual appearance to understand whether the quality of the target electronic health record meets the standards. The specific basic accuracy evaluation and feedback analysis process is as follows:

[0035] The process involves acquiring the electronic health record to be processed and setting it as the target electronic health record. Basic format information of the target electronic health record is collected, including page difference values ​​and content evaluation values. These values ​​are then processed for discrimination. Based on comparisons between the page difference values ​​and preset page difference thresholds, and between the content evaluation values ​​and preset content evaluation thresholds, intuitive evaluation coefficients are obtained. These intuitive evaluation coefficients are then compared and analyzed.

[0036] If the direct evaluation coefficient is equal to zero, a qualified signal is generated;

[0037] If the direct evaluation coefficient is not equal to zero, a non-compliance signal is generated and sent to the evaluation display unit. Upon receiving the non-compliance signal, the evaluation display unit immediately performs the preset warning operation corresponding to the non-compliance signal, so as to intuitively understand the accuracy and quality risks of the target electronic health record.

[0038] In the embodiments of the invention, an intuitive evaluation coefficient is obtained based on the comparison result of the page difference value and a preset page difference value threshold, and the comparison result of the content evaluation value and a preset content evaluation value threshold, including:

[0039] If the page difference value is greater than or equal to the preset page difference value threshold, and the content evaluation value is greater than or equal to the preset content evaluation value threshold, then the direct evaluation coefficient is equal to 2.

[0040] If the page difference value is greater than or equal to the preset page difference value threshold and the content evaluation value is less than the preset content evaluation value threshold, or if the page difference value is less than the preset page difference value threshold and the content evaluation value is greater than or equal to the preset content evaluation value threshold, then the direct evaluation coefficient is equal to 1.

[0041] If the page difference value is less than the preset page difference value threshold and the content evaluation value is less than the preset content evaluation value threshold, then the direct evaluation coefficient is equal to 0.

[0042] In this embodiment of the invention, the page difference value represents the number of differences between the page information of the target electronic health record and the standard page information. The page information includes the page background color, page feature images, etc. It should be noted that the quality assessment is carried out from the external perspective of the target electronic health record in order to understand whether the quality of the target electronic health record meets the standards.

[0043] In this embodiment of the invention, the content evaluation value represents the number of differences between the basic information of the target electronic health record and the standard basic information. The basic information includes the number of pages and paragraphs of the target electronic health record. It should be noted that the quality evaluation is conducted from the perspective of the internal content of the target electronic health record in order to provide data support for subsequent evaluations.

[0044] Once a pass signal is generated, the content integrity analysis unit responds by collecting the completeness information of the target electronic health record and performing a content integrity assessment and analysis. This analysis considers both the textual content and the record's own information to further determine the quality risks of the target electronic health record. The specific content integrity assessment and analysis process is as follows:

[0045] The completeness information of the target electronic health record is obtained. The completeness information includes the information difference and the information replication value. The information difference and the information replication value are labeled as DX and XF, respectively. The information difference DX and the information replication value XF are substituted into the formula. The complete quality assessment coefficient is obtained, where a1 and a2 are the preset weighting factor coefficients for the difference in archival information and the information replication value, respectively, a3 is the preset error correction factor coefficient, and a1, a2, and a3 are all greater than zero. W is the complete quality assessment coefficient, and the complete quality assessment coefficient W is subjected to discrimination processing:

[0046] If the complete quality assessment coefficient W equals zero, a complete signal is generated. When a complete signal is generated: the input information when the target electronic health record is retrieved is obtained, where the input information represents the set search terms; the number of target electronic health records appearing in the search is obtained, and the number of target electronic health records appearing in the search is set as the search assessment value; and the search assessment value is compared and analyzed.

[0047] If the retrieved evaluation value is equal to 1, then a unique signal is generated;

[0048] If the search evaluation value is not equal to 1, a replacement instruction is generated. When the replacement instruction is generated, the user information of the target electronic health record is obtained. The user information includes the last six digits of the ID number and the name. The name and the last six digits of the ID number are extracted and the string formed by the extracted characters is set as the search setting string. The search setting string is sent to the evaluation display unit. After receiving the search setting string, the evaluation display unit immediately performs the preset warning operation corresponding to the search setting string so as to replace the input information when searching for the target electronic health record, so as to ensure that a unique corresponding file appears when the target electronic health record is searched, thereby ensuring the uniqueness of the target electronic health record being searched.

[0049] If the complete quality assessment coefficient W is not equal to zero, a missing signal is generated. The obtained complete signal or missing signal is sent to the assessment display unit. After receiving the complete signal or missing signal, the assessment display unit immediately performs the preset warning operation corresponding to the complete signal or missing signal. On the one hand, it analyzes the text content and its own information content of the target electronic health record to obtain the completeness quality assessment result of the target electronic health record. On the other hand, it helps to provide data support for the subsequent overall quality assessment of the target electronic health record.

[0050] In this embodiment of the invention, the archive information difference represents the number of differences between the actual stored information and the standard stored information of the target electronic health record. The stored information includes the number of stored bytes, the storage memory value, etc. It should be noted that the analysis is carried out from two aspects: the text content and the information content of the target electronic health record, in order to further determine the quality risk of the target electronic health record.

[0051] In this embodiment of the invention, the information replication value represents the number of differences between the content text information of the target electronic health record and the standard content text information. The content text information includes font color, font size, etc. It should be noted that the integrity quality of the target electronic health record is analyzed from the perspective of the content text of the target electronic health record in order to improve the comprehensiveness of the analysis data.

[0052] Example 2:

[0053] The usability assessment unit is used to conduct quality assessment and analysis of the received usable information, that is, to analyze the usability quality of the target electronic health record from the perspective of indirect use. The specific process of quality assessment and analysis of the use of archival information is as follows:

[0054] The available information of the target electronic health record is obtained, including the retrieval evaluation index and the access evaluation coefficient. The retrieval evaluation index and the access evaluation coefficient are then compared and analyzed with preset retrieval evaluation index thresholds and preset access evaluation coefficient thresholds.

[0055] If the retrieval evaluation index is greater than or equal to the preset retrieval evaluation index threshold, and the access evaluation coefficient is greater than or equal to the preset access evaluation coefficient threshold, then an available signal is generated.

[0056] If the retrieval evaluation index is less than the preset retrieval evaluation index threshold, or the access evaluation coefficient is less than the preset access evaluation coefficient threshold, an availability risk signal is generated and sent to the evaluation display unit. Upon receiving the availability signal or availability risk signal, the evaluation display unit immediately performs the preset warning operation corresponding to the availability signal or availability risk signal, thereby analyzing the usability quality of the target electronic health record from the perspective of side use.

[0057] In this embodiment of the invention, the retrieval evaluation index represents the proportion of valid retrievals in the total number of retrievals of the target electronic health record. Valid retrievals indicate that the target electronic health record does not lack normal performance characteristics after being retrieved. Normal performance characteristics include reading, processing, etc. It should be noted that the quality evaluation is conducted from the perspective of the usability of the target electronic health record, that is, the quality risk assessment is conducted from the point of retrieval risk.

[0058] In this embodiment of the invention, the access evaluation coefficient represents the number of valid decoding counts out of the total number of times the target electronic health record is accessed. The number of valid decoding counts represents the content that can be decoded and displayed normally during the access of the target electronic health record. It should be noted that usability is evaluated from the perspective of accessing the target electronic health record in order to improve the comprehensiveness of the analysis data.

[0059] The anti-theft security unit is used to collect security information from the target's electronic health record and to perform information security leakage risk feedback analysis on this information. By assessing the anti-theft quality from the perspective of anti-theft measures, the risk of leakage of the target's electronic health record can be effectively reduced. The specific information security leakage risk feedback analysis process is as follows:

[0060] The security information of the target electronic health record is obtained, including a confidentiality assessment coefficient and an anti-theft assessment index. The confidentiality assessment coefficient and the anti-theft assessment index are then evaluated, and the number of zero values ​​in both indices is set as the information security index. Further evaluation of the information security index follows.

[0061] If the information security index is zero, it is determined to be a confidentiality and security signal;

[0062] If the information security index is not equal to zero, it is judged as a confidentiality risk signal. The confidentiality security signal or confidentiality risk signal is sent to the evaluation and display unit. After receiving the confidentiality security signal or confidentiality risk signal, the evaluation and display unit immediately performs the preset warning operation corresponding to the confidentiality security signal or confidentiality risk signal, that is, analyzes the security quality of the target electronic health record from the perspective of security.

[0063] In this embodiment of the invention, the confidentiality evaluation coefficient represents the number of times abnormal features occur during the storage and transmission of the target electronic health record. Abnormal features include tampering, loss, etc. It should be noted that the confidentiality evaluation coefficient is a reflection of the security of the target electronic health record operation process.

[0064] In this embodiment of the invention, the anti-theft assessment index represents the number of anti-theft measures corresponding to the target electronic health record whose values ​​exceed a preset threshold. These anti-theft measures include password change intervals, automatic information backup intervals, etc. It should be noted that conducting anti-theft assessment from the perspective of anti-theft measures can effectively reduce the risk of leakage of the target electronic health record.

[0065] Obtain the number of complete signals, usable signals, and secure signals; set the number of complete signals, usable signals, and secure signals as the archive quality index; and perform discrimination processing on the archive quality index:

[0066] If the archive quality index is zero, a pass signal is generated;

[0067] If the record quality index is not equal to zero, a non-compliance signal is generated. The compliance signal or non-compliance signal is then sent to the evaluation display unit. Upon receiving the compliance signal or non-compliance signal, the evaluation display unit immediately performs the preset warning operation corresponding to the compliance signal or non-compliance signal. That is, it evaluates the overall quality of the target electronic health record from the perspective of the overall quality and intuitively understands the overall quality evaluation result of the target electronic health record through information feedback, so as to carry out reasonable quality management of the target electronic health record and understand the overall quality of the establishment of the target electronic health record.

[0068] Example 3:

[0069] A method for quality control of electronic health records includes the following steps:

[0070] Step 1: Retrieve the basic format information and available information of the target electronic health record, and substitute the basic format information into Step 2 for basic accuracy assessment and feedback analysis, and substitute the available information into Step 4 for quality assessment and analysis of record information usage;

[0071] Step 2: Based on the information progression method, perform basic accuracy assessment and feedback analysis on the basic format information, compare and analyze the obtained intuitive evaluation coefficients. If a qualified signal is obtained, proceed to Step 3; if a unqualified signal is obtained, output feedback.

[0072] Step 3: Based on the integrity assessment and analysis of the archive content under qualified signals, the obtained integrity quality assessment coefficient W is processed to determine the integrity signal or missing signal and output it back.

[0073] Step 4: Based on information feedback, conduct archival information usage quality assessment and analysis on available information, compare and analyze the obtained retrieval assessment index and access evaluation coefficient, and output the obtained usable signals or usable risk signals.

[0074] Step 5: Perform information security leakage risk feedback analysis on the collected security information, process the obtained information security index, and output the obtained confidentiality security signal or confidentiality risk signal.

[0075] Step Six: Conduct an overall quality evaluation and analysis from the perspective of information integration, process the obtained archive quality index, and output the obtained compliance or non-compliance signals.

[0076] In summary, this invention employs a point-to-surface approach to quality evaluation and analysis. It begins by analyzing the external and internal visual characteristics of the target electronic health record from a point-to-point perspective. Based on the premise that the external and internal accuracy of the target electronic health record is satisfactory, it further evaluates the completeness of the content, analyzing both the textual content and the information itself to determine if the content completeness is normal. This provides data support for subsequent overall quality evaluation of the target electronic health record. Furthermore, it analyzes the usability of the target electronic health record from a side-by-side perspective, and uses information feedback to manage the record reasonably and specifically, reducing individual quality risks. Simultaneously, it analyzes the security quality of the target electronic health record from a security perspective, effectively reducing the risk of leakage. Finally, it evaluates the overall quality of the target electronic health record through information fusion evaluation, and the feedback provides a direct understanding of the overall quality evaluation results, facilitating reasonable quality management and understanding the overall quality of the target electronic health record's establishment.

[0077] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by those skilled in the art for each group of sample data; as long as it does not affect the ratio between the parameter and the quantized value, it is acceptable.

[0078] The size of the coefficient is a specific value obtained by quantifying each parameter to facilitate subsequent comparison. The size of the coefficient depends on the amount of sample data and the corresponding operating coefficient initially set by those skilled in the art for each set of sample data; as long as it does not affect the proportional relationship between the parameter and the quantified value.

[0079] The above formulas are all derived from software simulation using a large amount of data and are selected to be close to the actual values. The coefficients in the formulas are set by those skilled in the art according to the actual situation. The above description is only a preferred embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any equivalent substitutions or changes made by those skilled in the art within the technical scope disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the protection scope of the present invention.

Claims

1. An electronic health record quality supervision system, characterized in that, It includes an archive quality assessment center, an appearance evaluation unit, a usability assessment unit, a content integrity analysis unit, an anti-theft security unit, and an assessment display unit; The document quality assessment center is used to retrieve the basic format information and available information of the target electronic health record, and sends the basic format information to the appearance evaluation unit for basic accuracy assessment feedback analysis. The obtained direct evaluation coefficients are compared and analyzed to obtain a pass / fail signal. The basic accuracy assessment feedback analysis process is as follows: The electronic health record to be processed is acquired and set as the target electronic health record. The basic format information of the target electronic health record is collected, including page difference values ​​and content evaluation values. The page difference values ​​and content evaluation values ​​are processed for discrimination. Based on the comparison results of the page difference values ​​with a preset page difference value threshold and the comparison results of the content evaluation values ​​with a preset content evaluation value threshold, direct evaluation coefficients are obtained. The direct evaluation coefficients are compared and analyzed to obtain a pass / fail signal. The page difference value indicates the number of differences between the page information of the target electronic health record and the standard page information. Page information includes page background color and page feature images. The content evaluation value indicates the number of differences between the basic information of the target electronic health record and the standard basic information. Basic information includes the number of pages and paragraphs of the target electronic health record. The content integrity analysis unit is used to evaluate and analyze the completeness of the collected electronic health records to obtain complete or missing signals. The usability assessment unit is used to evaluate and analyze the quality of archival information use of the received usable information, compare and analyze the obtained retrieval assessment index and access evaluation coefficient, and obtain usability signals or usability risk signals; the anti-theft security unit is used to conduct information security leakage risk feedback analysis on the security information of the collected target electronic health records, and obtain confidentiality security signals or confidentiality risk signals. The system acquires the number of complete signals, usable signals, and confidentiality and security signals. It sets the number of complete signals, usable signals, and confidentiality and security signals as the archive quality index and performs discrimination processing on the archive quality index to obtain qualified or unqualified signals.

2. The electronic health record quality supervision system according to claim 1, characterized in that, The process for evaluating and analyzing the completeness of the archive content is as follows: The completeness information of the target electronic health record is obtained. The completeness information includes the information difference and the information replication value. The information difference and the information replication value are labeled as DX and XF, respectively. The information difference DX and the information replication value XF are substituted into the formula. The complete quality evaluation coefficient is obtained, where a1 and a2 are the preset weighting factor coefficients of the difference in archival information and the information replication value, respectively, a3 is the preset error correction factor coefficient, and W is the complete quality evaluation coefficient. The complete quality evaluation coefficient W is then processed to obtain the complete signal or the missing signal.

3. The electronic health record quality supervision system according to claim 2, characterized in that, The difference in the archive information indicates the number of differences between the actual stored information and the standard stored information of the target electronic health record. The stored information includes the number of stored bytes and the storage memory value. The information replication value indicates the number of differences between the content text information of the target electronic health record and the standard content text information. The content text information includes the font color and the font size.

4. The electronic health record quality supervision system according to claim 2, characterized in that, When a complete signal is generated: the input information when the target electronic health record is retrieved is obtained. The input information represents the set search terms. The number of target electronic health records that appear in the search is obtained and set as the search evaluation value. The search evaluation value is compared and analyzed to obtain a unique signal or replacement instruction. When the replacement instruction is generated, the user information of the target electronic health record is obtained. The user information includes the last six digits of the ID number and the name. The characters of the name and the last six digits of the ID number are extracted and the string formed by the extracted characters of the name and the last six digits of the ID number is set as the search setting string.

5. The electronic health record quality supervision system according to claim 1, characterized in that, The process for quality assessment and analysis of the archival information is as follows: The available information of the target electronic health record is obtained. The available information includes the retrieval evaluation index and the access evaluation coefficient. The retrieval evaluation index and the access evaluation coefficient are compared and analyzed with the preset retrieval evaluation index threshold and the preset access evaluation coefficient threshold. If the retrieval evaluation index is greater than or equal to the preset retrieval evaluation index threshold and the access evaluation coefficient is greater than or equal to the preset access evaluation coefficient threshold, then an available signal is generated. If the retrieval evaluation index is less than the preset retrieval evaluation index threshold, or the access evaluation coefficient is less than the preset access evaluation coefficient threshold, a usable risk signal will be generated.

6. The electronic health record quality supervision system according to claim 1, characterized in that, The information security leakage risk feedback analysis process is as follows: The security information of the target electronic health record is obtained. The security information includes the confidentiality evaluation coefficient and the anti-theft evaluation index. The confidentiality evaluation coefficient and the anti-theft evaluation index are judged and processed. The number of zeros in the confidentiality evaluation coefficient and the anti-theft evaluation index is set as the information security index. The information security index is judged and processed: if the information security index is zero, it is judged as a confidentiality security signal. If the information security index is not equal to zero, it is judged as a confidentiality risk signal.

7. The electronic health record quality supervision system according to claim 6, characterized in that, The confidentiality evaluation coefficient represents the number of times abnormal features appear during the storage and transmission of the target electronic health record, including tampering and loss; the anti-theft evaluation index represents the number of times the anti-theft measures of the target electronic health record exceed a preset threshold, including password change interval and automatic information backup interval.

8. A method for quality supervision of electronic health records, wherein the method is applied to the electronic health record quality supervision system according to any one of claims 1-7, characterized in that, Includes the following steps: Step 1: Retrieve the basic format information and available information of the target electronic health record, and substitute the basic format information into Step 2 for basic accuracy assessment and feedback analysis, and substitute the available information into Step 4 for quality assessment and analysis of record information usage; Step 2: Based on the information progression method, perform basic accuracy assessment and feedback analysis on the basic format information, compare and analyze the obtained intuitive evaluation coefficients. If a qualified signal is obtained, proceed to Step 3; if a unqualified signal is obtained, output feedback. Step 3: Based on the integrity assessment and analysis of the archive content under qualified signals, the obtained integrity quality assessment coefficient W is processed to determine the integrity signal or missing signal and output it back. Step 4: Based on information feedback, conduct archival information usage quality assessment and analysis on available information, compare and analyze the obtained retrieval assessment index and access evaluation coefficient, and output the obtained usable signals or usable risk signals. Step 5: Perform information security leakage risk feedback analysis on the collected security information, process the obtained information security index, and output the obtained confidentiality security signal or confidentiality risk signal. Step Six: Conduct an overall quality evaluation and analysis from the perspective of information integration, process the obtained archive quality index, and output the obtained compliance or non-compliance signals.

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