Electronic health record quality supervision system and method

Abstract

The invention relates to the technical field of archive quality supervision, in particular to an electronic health archive quality supervision system and method, and the system comprises an archive quality evaluation center, an appearance evaluation unit, an availability evaluation unit, a content integrity analysis unit, an anti-theft safety unit and an evaluation display unit. According to the method, quality evaluation analysis is carried out in a point-to-surface mode, namely, external and internal visual expressions of the target electronic health record are preliminarily analyzed from the point perspective, and along with content integrity quality evaluation, whether the content integrity quality of the target electronic health record is normal or not is judged; the availability quality condition of the target electronic health archive is analyzed from the perspective of side use so as to reduce the single quality risk of the target electronic health archive, the safety quality of the target electronic health archive is analyzed from the perspective of safety, and the overall quality of the target electronic health archive is evaluated. Therefore, the overall filing quality condition of the target electronic health archive can be known.

Description

Technical Field

[0001] The present invention relates to the technical field of archival quality supervision, and particularly to an electronic health record quality supervision system and method. Background Art

[0002] An electronic health record is an electronic historical record directly formed during people's health-related activities and having the value of being preserved for future reference. It is a lifetime personal health record stored in a computer system, providing services for individuals, and having security and confidentiality properties. The electronic health record takes the individual's health as the core, runs through the entire life cycle, covers various health-related factors, realizes dynamic collection of multi-channel information, and meets the information resources required for residents' self-care, health management, and health decision-making. Therefore, it is necessary to ensure the accuracy of the data in the electronic health record, including residents' personal information, medical diagnoses, drug prescriptions, etc.; to ensure the integrity of the health record information, ensuring that all necessary health information is included; to ensure the consistency of health record information between different departments or systems, avoiding data conflicts or duplicate entries; and to ensure the timely update and recording of health record information to reflect the patient's latest health status.

[0003] Through the quality supervision of electronic health records, patient safety can be ensured, medical quality can be improved, medical research can be promoted, medical efficiency can be increased, patient satisfaction can be enhanced, and regulatory requirements can be met. However, in the prior art, it is impossible to conduct targeted quality evaluations on the content accuracy, integrity, uniqueness, usability, and security of the target electronic health record quality, which leads to an increase in the single quality risk of the target electronic health record, and it is impossible to accurately analyze the quality of the target electronic health record establishment from an overall perspective, thereby reducing the overall quality evaluation accuracy and management efficiency of the target electronic health record, and it is impossible to analyze the retrieval uniqueness when the content of the target electronic health record is complete, which is not conducive to accurately retrieving the target electronic health record and reduces the uniqueness of the target electronic health record;

[0004] In view of the above technical deficiencies, a solution is now proposed. Summary of the Invention

[0005] The object of the present invention is to provide an electronic health record quality supervision system and method to solve the above-mentioned technical defects. The present invention conducts quality evaluation and analysis from point to surface, that is, initially analyzes the intuitive manifestations inside and outside the target electronic health record from the point of view, and further evaluates the content integrity quality based on the external and internal accuracy quality of the target electronic health record being qualified, determines whether the content integrity quality of the target electronic health record is normal, analyzes the usability quality of the target electronic health record from the perspective of the side usage, and conducts reasonable and targeted management of the target electronic health record through information feedback to reduce the single quality risk of the target electronic health record. At the same time, analyzes the security quality of the target electronic health record from the perspective of security, can effectively reduce the leakage risk of the target electronic health record, and evaluates the overall quality of the target electronic health record through the way of information fusion evaluation, so as to conduct reasonable quality management of the target electronic health record to understand the overall quality of the target electronic health record during the file establishment process.

[0006] The object of the present invention can be achieved by the following technical solutions: An electronic health record quality supervision system, including a file quality evaluation center, an appearance evaluation unit, a usability evaluation unit, a content integrity analysis unit, an anti-theft security unit, and an evaluation display unit;

[0007] The file quality evaluation 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 evaluation unit for basic accuracy evaluation feedback analysis, compare and analyze the obtained direct evaluation coefficients to obtain a qualified signal or an unqualified signal, send the available information to the usability evaluation unit for basic accuracy evaluation feedback analysis, compare and analyze the obtained direct evaluation coefficients to obtain a qualified signal or an unqualified signal;

[0008] The content integrity analysis unit is used to conduct file content integrity evaluation and analysis on the retrieved integrity information of the target electronic health record to obtain a complete signal or a missing signal;

[0009] The usability evaluation unit is used to conduct file information usage quality evaluation and analysis on the received available information, compare and analyze the obtained retrieval evaluation index and access evaluation coefficient to obtain an available signal or an available risk signal; The anti-theft security unit is used to conduct information security leakage risk feedback analysis on the retrieved security information of the target electronic health record to obtain a confidentiality security signal or a confidentiality risk signal;

[0010] Obtain the number of complete signals, available signals, and confidentiality security signals, set the number of complete signals, available signals, and confidentiality security signals as the file quality index, and conduct discriminant processing on the file quality index to obtain a compliance signal or a non-compliance signal.

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

[0012] Obtain the electronic health record to be processed, and set the electronic health record to be processed as the target electronic health record. Collect the basic format information of the target electronic health record. The basic format information includes the page difference value and the content evaluation value. Perform discriminant processing on the page difference value and the content evaluation value. Based on the comparison result between the page difference value and the preset page difference value threshold, and the comparison result between the content evaluation value and the preset content evaluation value threshold, obtain the direct observation evaluation coefficient, and perform comparison and analysis on the direct observation evaluation coefficient to obtain a qualified signal or an unqualified signal;

[0013] 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 and the page feature image. 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 the number of paragraphs of the target electronic health record.

[0014] Preferably, the process of the file content integrity evaluation analysis is as follows:

[0015] Obtain the integrity information of the target electronic health record. The integrity information includes the file information difference value and the information replication value. Label the file information difference value and the information replication value as DX and XF respectively. Substitute the file information difference value DX and the information replication value XF into the formula to obtain the complete quality evaluation coefficient. Among them, a1 and a2 are the preset weight factor coefficients of the file information difference value and the information replication value respectively, a3 is the preset error correction factor coefficient, W is the complete quality evaluation coefficient, and perform discriminant processing on the complete quality evaluation coefficient W to obtain a complete signal or a missing signal.

[0016] Preferably, the file information difference value represents the number of differences between the actual storage information of the target electronic health record and the standard storage information. The storage information includes the storage byte number 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. The content text information includes the font color and the text size.

[0017] Preferably, when generating a complete signal: obtain the input information when the target electronic health record is retrieved, the input information represents a set search term, obtain the number of target electronic health records retrieved, and set the number of target electronic health records retrieved as the retrieval evaluation value, and perform a comparison and analysis on the retrieval evaluation value to obtain a unique signal or a replacement instruction. When generating a replacement instruction, obtain the user information of the target electronic health record, the user information includes the last six digits of the ID card number and the name, and perform character extraction on the name and the last six digits of the ID card number, and set the string formed by performing character extraction on the name and the last six digits of the ID card number as the retrieval setting string.

[0018] Preferably, the quality evaluation and analysis process of the file information is as follows:

[0019] Obtain the available information of the target electronic health record, the available information includes the retrieval evaluation index and the access evaluation coefficient, and perform a comparison and analysis on the retrieval evaluation index and the access evaluation coefficient 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 generate an available signal; 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, then generate an available risk signal.

[0020] Preferably, the retrieval evaluation index represents the ratio of the number of effective retrieval times in the total number of retrievals of the target electronic health record, and the effective retrieval times represent that there is no lack of normal performance characteristics after the target electronic health record is retrieved, and the normal performance characteristics include reading and processing; the access evaluation coefficient represents the number corresponding to the number of effective decoding times in the total number of accesses of the target electronic health record, and the effective decoding times represent that the content can be normally decoded and displayed when the target electronic health record is accessed.

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

[0022] Obtain the security information of the target electronic health record, the security information includes the confidentiality evaluation coefficient and the anti-theft evaluation index, perform a discrimination process on the confidentiality evaluation coefficient and the anti-theft evaluation index, set the number of those equal to zero in the confidentiality evaluation coefficient and the anti-theft evaluation index as the information security index, and perform a discrimination process on the information security index: if the information security index is equal to zero, then it is determined as a confidentiality security signal; if the information security index is not equal to zero, then it is determined as a confidentiality risk signal.

[0023] Preferably, the confidentiality evaluation coefficient represents the number of abnormal features that occur during the storage and transmission of the target electronic health record, and the abnormal features include tampering and loss; the anti-theft evaluation index represents the number of anti-theft measures corresponding to the target electronic health record that exceed the preset threshold, and the anti-theft measures include the password replacement interval duration and the information automatic backup interval duration.

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

[0025] (1) The present invention conducts quality evaluation and analysis in a point-to-face manner, that is, initially analyzes the intuitive performance of the target electronic health record externally and internally from a point perspective, and further evaluates the content integrity quality based on the external and internal accuracy quality of the target electronic health record being qualified. That is, analyzes from two points: the text content of the target electronic health record and the information content of the file itself, 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, and analyzes the usability quality of the target electronic health record from the perspective of the side usage, and conducts reasonable and targeted management of the target electronic health record through information feedback to reduce the single quality risk of the target electronic health record;

[0026] (2) The present 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 the method of information fusion evaluation, and intuitively understand the overall quality evaluation result of the target electronic health record through the method of information feedback, so as to conduct reasonable quality management of the target electronic health record to understand the overall quality situation of the establishment of the target electronic health record. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0028] Figure 1 is the system flow block diagram of the present invention;

[0029] Figure 2 is the method reference analysis diagram of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0030] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0031] Embodiment 1:

[0032] Please refer to Figures 1 to 2 As shown, the present invention is an electronic health record quality supervision system, which includes an archive quality evaluation center, an appearance evaluation unit, an availability evaluation unit, a content integrity analysis unit, an anti-theft security unit, and an evaluation display unit. The archive quality evaluation center is in one-way communication connection with both the appearance evaluation unit and the availability evaluation unit. The appearance evaluation unit is in one-way communication connection with both the content integrity analysis unit and the evaluation display unit. The content integrity analysis unit is in one-way communication connection with both the evaluation display unit and the anti-theft security unit. The availability evaluation unit is in one-way communication connection with both the evaluation display unit and the anti-theft security unit. The anti-theft security unit is in one-way communication connection with the evaluation display unit;

[0033] The archive quality evaluation center is used to retrieve the basic format information and available information of the target electronic health record, and send the basic format information and available information to the appearance evaluation unit and the availability evaluation unit respectively;

[0034] The appearance evaluation unit is used to conduct basic accuracy evaluation feedback analysis on the received basic format information, that is, conduct quality evaluation from the external and internal intuitive manifestations of the target electronic health record to understand whether the quality of the target electronic health record meets the standard. The specific process of basic accuracy evaluation feedback analysis is as follows:

[0035] Obtain the electronic health record to be processed, set the electronic health record to be processed as the target electronic health record, collect the basic format information of the target electronic health record. The basic format information includes the page difference value and the content evaluation value. Discriminate and process the page difference value and the content evaluation value. Based on the comparison result of the page difference value with the preset page difference value threshold and the comparison result of the content evaluation value with the preset content evaluation value threshold, obtain the direct observation evaluation coefficient, and conduct comparison and analysis on the direct observation evaluation coefficient:

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

[0037] If the direct observation evaluation coefficient is not equal to zero, generate an unqualified signal, and send the obtained unqualified signal to the evaluation display unit. After receiving the unqualified signal, the evaluation display unit immediately performs the preset warning operation corresponding to the unqualified signal, so as to intuitively understand the accuracy quality risk of the target electronic health record.

[0038] In the embodiment of the invention, obtaining the direct observation evaluation coefficient based on the comparison result of the page difference value with the preset page difference value threshold and the comparison result of the content evaluation value with the preset content evaluation value threshold includes:

[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, the direct observation 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 observation 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 observation evaluation coefficient is equal to 0.

[0042] In the embodiments of the present 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 image, etc. It should be noted that the quality of the target electronic health record is evaluated from the external perspective of the target electronic health record to understand whether the quality of the target electronic health record meets the standard;

[0043] In the embodiments of the present 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, etc. It should be noted that the quality of the target electronic health record is evaluated from the internal content perspective of the target electronic health record to provide data support for subsequent evaluations;

[0044] After generating a qualified signal, the content integrity analysis unit is used to respond to the qualified signal, and at the same time collect the integrity information of the target electronic health record, and perform an evaluation analysis of the integrity of the file content. The analysis is carried out from two points: the text content and the self-information content of the target electronic health record, so as to further judge the quality risk of the target electronic health record. The specific process of the evaluation analysis of the integrity of the file content is as follows:

[0045] Obtain the integrity information of the target electronic health record. The integrity information includes the file information difference value and the information replication value. Label the file information difference value and the information replication value as DX and XF respectively. Substitute the file information difference value DX and the information replication value XF into the formula to obtain the complete quality evaluation coefficient. Among them, a1 and a2 are the preset weight factor coefficients of the file information difference value and the information replication value respectively, a3 is the preset error correction factor coefficient, a1, a2, and a3 are all greater than zero, W is the complete quality evaluation coefficient, and the complete quality evaluation coefficient W is discriminated:

[0046] If the complete quality evaluation coefficient W is equal to zero, then a complete signal is generated. When the complete signal is generated: obtain the input information when the target electronic health record is retrieved. The input information represents the set search term, obtain the number of target electronic health records retrieved, and set the number of target electronic health records retrieved as the retrieval evaluation value, and perform a comparison analysis on the retrieval evaluation value:

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

[0048] If the retrieval 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 card number and the name, and character extraction is performed on the name and the last six digits of the ID card number. The string formed by the character extraction of the name and the last six digits of the ID card number is set as the retrieval setting string, and the retrieval setting string is sent to the evaluation display unit. After receiving the retrieval setting string, the evaluation display unit immediately performs the preset warning operation corresponding to the retrieval setting string, so as to replace the input information during the retrieval of the target electronic health record, ensure that there is a unique corresponding record when the target electronic health record is retrieved, and thus ensure the uniqueness of the target electronic health record when retrieved;

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

[0050] In the embodiment of the present invention, the file information difference represents the number of differences between the actual storage information and the standard storage information of the target electronic health record. The storage information includes the number of storage bytes, the storage memory value, etc. It should be noted that analysis is performed from two points: the text content and its own information content of the target electronic health record to further judge the quality risk of the target electronic health record;

[0051] In the embodiment of the present 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, text 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 to improve the comprehensiveness of the analysis data.

[0052] Embodiment Two:

[0053] The usability evaluation unit is used to perform file information usage quality evaluation and analysis on the received available information, that is, to analyze the usability quality of the target electronic health record from the perspective of side use. The specific process of file information usage quality evaluation and analysis is as follows:

[0054] Obtain the available information of the target electronic health record. The available information includes a retrieval evaluation index and an access evaluation coefficient. Compare and analyze the retrieval evaluation index and the access evaluation coefficient with a preset retrieval evaluation index threshold and a preset access evaluation coefficient threshold:

[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, generate an available signal;

[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, generate an available risk signal. Send the available signal or the available risk signal to the evaluation display unit. After receiving the available signal or the available risk signal, the evaluation display unit immediately performs the preset warning operation corresponding to the available signal or the available risk signal, and then analyzes the usability quality of the target electronic health record from the perspective of side use;

[0057] In the embodiment of the present invention, the retrieval evaluation index represents the ratio of the number of effective retrieval times to the total number of retrievals of the target electronic health record. The number of effective retrieval times means that there is no lack of normal performance characteristics after the target electronic health record is retrieved. The normal performance characteristics include reading, processing, etc. It should be noted that from the perspective of the usability of the target electronic health record, quality evaluation is performed, that is, quality risk assessment is performed from the point of retrieval risk;

[0058] In the embodiment of the present invention, the access evaluation coefficient represents the number corresponding to the number of effective decoding times in the total number of accesses of the target electronic health record. The number of effective decoding times means that the content can be normally decoded and displayed during the access of the target electronic health record. It should be noted that the usability is evaluated from the perspective of the access of the target electronic health record to improve the comprehensiveness of the analysis data;

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

[0060] Obtain the security information of the target electronic health record. The security information includes a confidentiality evaluation coefficient and an anti-theft evaluation index. Perform discrimination processing on the confidentiality evaluation coefficient and the anti-theft evaluation index, set the number of those equal to zero in the confidentiality evaluation coefficient and the anti-theft evaluation index as the information security index, and perform discrimination processing on the information security index:

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

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

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

[0064] In the embodiment of the present invention, the anti-theft evaluation index represents the number of anti-theft measures corresponding values of the target electronic health record that exceed the preset threshold. The anti-theft measures include the password change interval duration, the information automatic backup interval duration, etc. It should be noted that through the anti-theft evaluation from the perspective of anti-theft measures, the leakage risk of the target electronic health record can be effectively reduced;

[0065] Obtain the number of complete signals, available signals, and confidentiality security signals, set the number of complete signals, available signals, and confidentiality security signals as the file quality index, and perform discriminant processing on the file quality index:

[0066] If the file quality index is equal to zero, a qualified signal is generated;

[0067] If the file quality index is not equal to zero, an unqualified signal is generated, and the qualified signal or the unqualified signal is sent to the evaluation display unit. After receiving the qualified signal or the unqualified signal, the evaluation display unit immediately performs the preset warning operation corresponding to the qualified signal or the unqualified signal, that is, evaluates from the overall quality perspective of the target electronic health record, and intuitively understands the overall quality evaluation result of the target electronic health record through the way of information feedback, so as to perform reasonable quality management on the target electronic health record to understand the overall quality situation of the establishment of the target electronic health record.

[0068] Embodiment Three:

[0069] An electronic health record quality supervision method includes the following steps:

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

[0071] Step 2: Based on the way of information progression, conduct a basic accuracy evaluation and feedback analysis on the basic format information, compare and analyze the obtained direct observation evaluation coefficients. If a qualified signal is obtained, proceed to Step 3; if an unqualified signal is obtained, feedback and output it.

[0072] Step 3: Based on the evaluation and analysis of the integrity of the file content under the qualified signal, conduct a discrimination process on the obtained complete quality evaluation coefficient W, and feedback and output the obtained complete signal or missing signal.

[0073] Step 4: Based on the way of information feedback, conduct a quality evaluation analysis of the use of file information on the available information, compare and analyze the obtained retrieval evaluation index and access evaluation coefficient, and feedback and output the obtained available signal or available risk signal.

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

[0075] Step 6: Conduct an overall quality evaluation analysis from the perspective of information integration, conduct a discrimination process on the obtained file quality index, and feedback and output the obtained passing signal or non-passing signal.

[0076] In summary, the present invention conducts a quality evaluation analysis in a point-to-face manner, that is, initially analyzes the intuitive manifestations of the external and internal aspects of the target electronic health record from a point perspective, and further conducts an evaluation of the content integrity quality based on the qualified external and internal accuracy quality of the target electronic health record. That is, analyze from two points of the text content of the target electronic health record and the information content of the record itself to determine whether the content integrity quality of the target electronic health record is normal, and at the same time helps to provide data support for the subsequent overall quality evaluation of the target electronic health record. And analyze the usability quality of the target electronic health record from the perspective of the side use, and through information feedback, conduct reasonable and targeted management of the target electronic health record to reduce the single quality risk of the target electronic health record. At the same time, analyze the security quality of the target electronic health record from the perspective of security, which can effectively reduce the leakage risk of the target electronic health record, and evaluate the overall quality of the target electronic health record through the way of information fusion evaluation, and intuitively understand the overall quality evaluation result of the target electronic health record through the way of information feedback, so as to conduct reasonable quality management of the target electronic health record to understand the overall quality situation of the establishment of the target electronic health record.

[0077] The setting of the size of the threshold is for the convenience of comparison. Regarding the size of the threshold, it depends on the amount of sample data and the number of base numbers set by those skilled in the art for each group of sample data; as long as it does not affect the proportional relationship between the parameters and the quantified values.

[0078] The magnitude of the coefficient is a specific value obtained by quantifying each parameter for subsequent comparison. Regarding the magnitude of the coefficient, it depends on the amount of sample data and the operation coefficients initially set by those skilled in the art for each group of sample data; as long as the proportional relationship between the parameter and the quantified value is not affected.

[0079] The above formulas are all obtained by collecting a large amount of data for software simulation and selecting a formula close to the true value. The coefficients in the formulas are set by those skilled in the art according to the actual situation. As described above, the above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, makes equivalent substitutions or changes, and 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 evaluation center, an appearance evaluation unit, an availability evaluation unit, a content integrity analysis unit, an anti-theft security unit, and an evaluation display unit; The archive quality evaluation 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 evaluation unit for basic accuracy evaluation feedback analysis, compare and analyze the obtained direct evaluation coefficients to obtain a qualified signal or an unqualified signal, and send the available information to the availability evaluation unit for basic accuracy evaluation feedback analysis, compare and analyze the obtained direct evaluation coefficients to obtain a qualified signal or an unqualified signal; The content integrity analysis unit is used to conduct archive content integrity evaluation analysis on the collected integrity information of the target electronic health record to obtain a complete signal or a missing signal; The availability evaluation unit is used to conduct archive information usage quality evaluation analysis on the received available information, compare and analyze the obtained retrieval evaluation index and access evaluation coefficient to obtain an available signal or an available risk signal; the anti-theft security unit is used to conduct information security leakage risk feedback analysis on the collected security information of the target electronic health record to obtain a confidentiality security signal or a confidentiality risk signal; Obtain the number of complete signals, available signals, and confidentiality security signals, set the number of complete signals, available signals, and confidentiality security signals as the archive quality index, and conduct discrimination processing on the archive quality index to obtain a passing signal or a non-passing signal.

2. The electronic health record quality supervision system according to claim 1, wherein The process of the basic accuracy evaluation feedback analysis is as follows: Obtain the electronic health record to be processed, set the electronic health record to be processed as the target electronic health record, collect the basic format information of the target electronic health record, where the basic format information includes the page difference value and the content evaluation value, and conduct discrimination processing on the page difference value and the content evaluation value; Obtain the direct evaluation coefficient based on the comparison result between the page difference value and the preset page difference value threshold, and the comparison result between the content evaluation value and the preset content evaluation value threshold, and compare and analyze the direct evaluation coefficient to obtain a qualified signal or an unqualified signal; The page difference value represents the number of differences between the page information of the target electronic health record and the standard page information, where the page information includes the page background color and the page feature image; the content evaluation value represents the number of differences between the basic information of the target electronic health record and the standard basic information, where the basic information includes the number of pages and paragraphs of the target electronic health record.

3. The electronic health record quality supervision system according to claim 1, characterized in that, The process of the archive content integrity evaluation analysis is as follows: Obtain the integrity information of the target electronic health record. The integrity information includes the file information difference and the information replication value. Label the file information difference and the information replication value as DX and XF respectively, and substitute the file information difference DX and the information replication value XF into the formula to obtain the complete quality evaluation coefficient. Among them, a1 and a2 are the preset weight factor coefficients of the file information difference and the information replication value respectively, a3 is the preset error correction factor coefficient, W is the complete quality evaluation coefficient, and discriminant processing is performed on the complete quality evaluation coefficient W to obtain a complete signal or a missing signal.

4. An electronic health record quality supervision system according to claim 3, characterized in that, The archive information difference represents the number of differences between the actual storage information and the standard storage information of the target electronic health record, where the storage information includes the storage byte number and the storage memory value; the information replication value represents the number of differences between the content text information and the standard content text information of the target electronic health record, where the content text information includes the font color and the font size.

5. The electronic health record quality supervision system according to claim 3, characterized in that When generating a complete signal: Obtain the input information when the target electronic health record is retrieved. The input information represents the set search term. Obtain the number of target electronic health records retrieved, and set the number of target electronic health records retrieved as the retrieval evaluation value. Then, conduct a comparison and analysis of the retrieval evaluation value to obtain a unique signal or a replacement instruction. When generating a replacement instruction, obtain the user information of the target electronic health record. The user information includes the last six digits of the ID card number and the name. Then, perform character extraction on the name and the last six digits of the ID card number, and set the string formed by the character extraction of the name and the last six digits of the ID card number as the retrieval setting string.

6. The quality supervision system for electronic health records according to claim 1, characterized in that The process of evaluating and analyzing the quality of the file information is as follows: Obtain the available information of the target electronic health record. The available information includes the retrieval evaluation index and the access evaluation coefficient. Compare and analyze the retrieval evaluation index and the access evaluation coefficient 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 generate an available signal; 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, then generate an available risk signal.

7. An electronic health record quality supervision system according to claim 1, characterized in that, The process of feedback analysis of information security leakage risk is as follows: Obtain the security information of the target electronic health record. The security information includes the confidentiality evaluation coefficient and the anti-theft evaluation index. Conduct a discrimination process on the confidentiality evaluation coefficient and the anti-theft evaluation index, and set the number of those equal to zero in the confidentiality evaluation coefficient and the anti-theft evaluation index as the information security index. Then, conduct a discrimination process on the information security index: If the information security index is equal to zero, then it is determined as a confidentiality security signal; If the information security index is not equal to zero, then it is determined as a confidentiality risk signal.

8. An electronic health record quality supervision system according to claim 7, characterized in that, The confidentiality evaluation coefficient represents the number of abnormal features that occur during the storage and transmission of the target electronic health record. The abnormal features include tampering and loss. The anti-theft evaluation index represents the number of times that the corresponding values of the anti-theft measures of the target electronic health record exceed the preset threshold. The anti-theft measures include the password change interval duration and the information automatic backup interval duration.

9. A method for quality supervision of electronic health records, which is applied to an electronic health record quality supervision system described in any one of claims 1-8, and is characterized in that, It 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 evaluation and feedback analysis, and substitute the available information into Step 4 for file information usage quality evaluation and analysis; Step 2: Based on the information progression method, conduct basic accuracy evaluation and feedback analysis on the basic format information, and compare and analyze the obtained direct observation evaluation coefficient. If a qualified signal is obtained, then proceed to Step 3. If an unqualified signal is obtained, then feedback and output; Step 3: Based on the file content integrity evaluation and analysis under the qualified signal, conduct a discrimination process on the obtained complete quality evaluation coefficient W, and feedback and output the obtained complete signal or missing signal; Step 4: Based on the information feedback method, conduct file information usage quality evaluation and analysis on the available information, and compare and analyze the obtained retrieval evaluation index and access evaluation coefficient, and feedback and output the obtained available signal or available risk signal; Step 5: Conduct information security leakage risk feedback analysis on the collected security information, perform discriminant processing on the obtained information security index, and feedback and output the obtained confidentiality security signal or confidentiality risk signal; Step 6: Conduct overall quality evaluation analysis from the perspective of information integration, perform discriminant processing on the obtained file quality index, and feedback and output the obtained compliance signal or non-compliance signal.

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