Method and device for interpreting physical examination report

Abstract

The invention provides a method and device for interpreting a physical examination report, and the method comprises the steps: determining an abnormal item in a detection result of a target subject and an additional item satisfied by the target subject; determining an index condition corresponding to the abnormal item and an additional condition corresponding to the additional item from a pre-established diagnosis rule base; and based on the index condition and the additional condition, determining interpretation information corresponding to the abnormal item to obtain a detection report corresponding to the target subject detection result. According to the embodiment, the interpretation information can better conform to the individual condition of the target subject, the difference between different target subjects is covered, the pertinence and quality of the interpretation content are improved, and the efficiency of generating the detection report is improved.

Description

Technical Field

[0001] The present invention relates to the field of smart physical examination technology, and in particular to a method and device for interpreting a physical examination report. Background Art

[0002] At present, all kinds of processes in various medical examination institutions have begun to realize intelligence. Among them, report interpretation refers to the process of interpreting the various indicators and results obtained by the target subject after the test, including understanding the significance of each test item, comparing the difference between the results and the normal value, evaluating the significance of abnormal items, etc.

[0003] However, in related technologies, report interpretation is usually done manually, which undoubtedly reduces the efficiency of report interpretation. In addition, when interpreting test reports, related technologies usually only consider the commonalities of a certain type of target subjects (such as the target population), while ignoring the individual differences between the target subjects, resulting in a lack of pertinence and quality in the report interpretation content. Summary of the invention

[0004] In view of this, the embodiments of the present disclosure at least provide a method, device, electronic device and storage medium for interpreting physical examination reports, which can make the interpreted information more in line with the individual situation of the target subject, cover the differences between different target subjects, improve the pertinence and quality of the interpretation content, and improve the efficiency of generating test reports.

[0005] In a first aspect, the present disclosure provides a method for interpreting a physical examination report, including:

[0006] Determine the abnormal items in the target subject's detection results and the additional items that the target subject satisfies;

[0007] Determining the indicator conditions corresponding to the abnormal items and the additional conditions corresponding to the additional items from the pre-established diagnostic rule base;

[0008] Based on the indicator conditions and additional conditions, the interpretation information corresponding to the abnormal items is determined to obtain a test report corresponding to the test results of the target subject.

[0009] Optionally, the abnormal item is a descriptive abnormal item; based on the indicator condition and the additional condition, the interpretation information corresponding to the abnormal item is determined, including:

[0010] Perform word segmentation processing on the description information of the abnormal item to obtain each description word segmentation corresponding to the abnormal item;

[0011] Based on the indicator conditions and additional conditions, abnormal segmentation words are determined from the description segmentation words;

[0012] According to the indicator code corresponding to the abnormal item, the standard diagnostic word corresponding to the indicator code is determined from the diagnostic rule library;

[0013] The abnormal segmented words are matched with the standard diagnostic words, and the standard diagnostic word with the highest matching degree is used as the target diagnostic word corresponding to the abnormal item, so as to determine the interpretation information corresponding to the abnormal item based on the interpretation rule corresponding to the target diagnostic word.

[0014] Optionally, the abnormal item is a numerical abnormal item; based on the indicator condition and the additional condition, the interpretation information corresponding to the abnormal item is determined, including:

[0015] According to the abnormal value, indicator conditions and additional conditions corresponding to the abnormal item, the target diagnostic word corresponding to the abnormal item is determined from the diagnostic rule library, so as to determine the interpretation information corresponding to the abnormal item based on the interpretation rule corresponding to the target diagnostic word.

[0016] Optionally, determining interpretation information corresponding to the abnormal item includes:

[0017] Determining each target sub-condition associated with the target diagnostic word corresponding to the abnormal item from the diagnostic rule base;

[0018] Determine whether the detection results of the abnormal items meet each target sub-condition;

[0019] In response to the detection result of the abnormal item satisfying each target sub-condition, based on the interpretation rule of the target diagnostic word, interpretation information corresponding to the abnormal item is determined.

[0020] Optionally, the method further comprises:

[0021] In response to each target sub-condition associated with any target diagnostic word being completely covered by each target sub-condition associated with another target diagnostic word, any target diagnostic word is deleted.

[0022] Optionally, the indicator condition is a judgment criterion for determining the standard diagnostic term of the target subject under the abnormal item; the additional condition is used to indicate the individual information of the target subject under a preset dimension.

[0023] Optionally, the interpretation rules of the target diagnostic word include diagnostic word codes and indicator codes; the method further includes:

[0024] In response to the presence of at least two target diagnostic words with the same diagnostic word code and indicator code among different target diagnostic words corresponding to the target subject, interpretation information corresponding to the abnormal item is determined based on the interpretation rule of the target diagnostic word with the highest attention index among the at least two target diagnostic words.

[0025] In a second aspect, the present disclosure provides a device for interpreting a physical examination report, including:

[0026] A determination module, used to determine abnormal items in the target subject detection results and additional items satisfied by the target subject;

[0027] A diagnosis module, used to determine the indicator conditions corresponding to the abnormal items and the additional conditions corresponding to the additional items from a pre-established diagnosis rule base;

[0028] The interpretation module is used to determine the interpretation information corresponding to the abnormal item based on the indicator conditions and additional conditions to obtain a test report corresponding to the test result of the target subject.

[0029] In a third aspect, an embodiment of the present disclosure further provides an electronic device, comprising: a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the computer device is running, the processor and the memory communicate through the bus, and when the machine-readable instructions are executed by the processor, the above-mentioned first aspect, or the steps in any optional implementation of the first aspect are performed.

[0030] In a fourth aspect, an embodiment of the present disclosure further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned first aspect, or any optional implementation of the first aspect are executed.

[0031] In a fifth aspect, an embodiment of the present disclosure further provides a computer program product, including a computer program, which implements the method of any of the above embodiments when executed by a processor.

[0032] Any of the above aspects or any implementation methods of any of the aspects, by determining the abnormal items in the target subject's test results and the additional items satisfied by the target subject, then determining the index conditions corresponding to the abnormal items and the additional conditions corresponding to the additional items from the pre-established rule diagnosis library. Thus, when determining the interpretation information of the abnormal items, in addition to considering the index conditions corresponding to the original abnormal items, special factors such as the individual situation of the target subject or the current scene can also be taken into account, so that the interpretation content can be more in line with the current scene and the individual situation of the target subject, and the pertinence and quality of the report interpretation process are improved. In addition, by using a predetermined diagnostic rule library, it is also possible to solve the problem of low efficiency caused by manual interpretation in the prior art. Further, in scenes such as medical physical examination reports, it is usually necessary to first generate a test report based on the test results, and then manually interpret the report. The disclosed embodiment directly generates the interpreted test report by performing the interpretation process in parallel with the report generation process, which can further improve the efficiency of generating the test report.

[0033] The effects of the above-mentioned report interpretation device, electronic device and storage medium can be found in the description of the above-mentioned report interpretation method, which will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1A flow chart showing a method for interpreting a physical examination report provided by an embodiment of the present disclosure is shown;

[0035] Figure 2 A schematic diagram showing a flow chart of interpreting a physical examination report provided by an embodiment of the present disclosure;

[0036] Figure 3 A schematic diagram of a diagnostic rule base provided by an embodiment of the present disclosure is shown;

[0037] Figure 4 A schematic diagram of a process for determining an interpretation rule provided by an embodiment of the present disclosure is shown;

[0038] Figure 5 A schematic diagram of a device for interpreting a physical examination report provided by an embodiment of the present disclosure is shown;

[0039] Figure 6 An exemplary system architecture is shown in which embodiments of the present disclosure may be applied;

[0040] Figure 7 A schematic diagram of the structure of a computer system of a terminal device or a server used to implement an embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical scheme and advantages of the embodiments of the present disclosure clearer, the technical scheme in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only part of the embodiments of the present disclosure, rather than all of the embodiments. The components of the embodiments of the present disclosure generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present disclosure provided in the drawings is not intended to limit the scope of the present disclosure for protection, but merely represents the selected embodiments of the present disclosure. Based on the embodiments of the present disclosure, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present disclosure.

[0042] It should be noted that in the technical solution of the present invention, the collection, use, storage, sharing and transfer of user personal information involved are in compliance with the provisions of relevant laws and regulations, and it is necessary to inform the user and obtain the user's consent or authorization. When applicable, the user's personal information is de-identified and / or anonymized and / or encrypted.

[0043] The raising of the above problems and the solutions are the results obtained by the inventor after practice and careful research. The discovery process of the above problems and the solutions proposed for the above problems should be the contributions made by the inventor to the present disclosure during the disclosure process.

[0044] The technical solutions in the present disclosure will be clearly and completely described below in conjunction with the drawings in the present disclosure. Obviously, the described embodiments are only part of the embodiments of the present disclosure, rather than all of the embodiments. The components of the present disclosure generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present disclosure provided in the drawings is not intended to limit the scope of the present disclosure claimed for protection, but merely represents the selected embodiments of the present disclosure. Based on the embodiments of the present disclosure, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present disclosure.

[0045] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0046] To facilitate understanding of this embodiment, the method for interpreting a physical examination report disclosed in the embodiment of the present disclosure is first introduced in detail. The execution subject of the report interpretation method provided in the embodiment of the present disclosure is generally a computer device with certain computing capabilities, and the computer device includes, for example: a terminal device or a server or other processing device, and the terminal device can be a user equipment (User Equipment, UE), a mobile device, a user terminal, a terminal, a cellular phone, a cordless phone, a personal digital assistant (Personal Digital Assistant, PDA), a handheld device, a computing device, a vehicle-mounted device, a wearable device, etc. In some possible implementations, the report interpretation method can be implemented by a processor calling a computer-readable instruction stored in a memory.

[0047] See also Figure 1 As shown, it is a flow chart of the report interpretation method provided by the embodiment of the present disclosure, and the method includes S101-S103, wherein:

[0048] It should be noted that the embodiments of the present disclosure can be applied to any scenario where the test report needs to be interpreted, such as a medical examination scenario, an equipment detection scenario, and the like. In order to more clearly and specifically explain the embodiments of the present disclosure, the following only uses the interpretation of the report in the medical examination scenario as an example, which does not constitute an improper limitation on the present invention. In specific implementations, those skilled in the art can adjust the specific methods described in the embodiments of the present disclosure to be applicable to the scenario according to the scenario they face. The embodiments of the present disclosure do not make specific limitations on this, and the functions that can be realized shall prevail.

[0049] S101: Determine abnormal items in the target subject detection result and additional items satisfied by the target subject.

[0050] In this step, in the medical examination scenario, the target subject may be the user undergoing the physical examination, and the test result of the target subject may be the physical examination result of the user undergoing the physical examination. The additional items here may include information related to the personal situation of the user undergoing the physical examination, such as gender, age, current medical history, family history, surgical history, etc.

[0051] Figure 2 The following is a flow chart of a method for interpreting a physical examination report provided in an embodiment of the present disclosure. Figure 2 As shown, in the medical physical examination scenario, the physical examination center's software system can push the physical examination results of each department to the physical examination center. After receiving the physical examination results pushed by each department, the physical examination center can save the first incoming physical examination results. When the physical examination results of all physical examination items of the physical examination user are saved to the physical examination center, the physical examination center can push all physical examination results of each department to the executive body of the embodiment of the present disclosure. Alternatively, the physical examination center can also push a physical examination result of each department to the executive body of the embodiment of the present disclosure after receiving it, and the executive body of the embodiment of the present disclosure will manage when to start the interpretation process. The physical examination center here can be a technical architecture or platform that can support and manage the core functions and data of the physical examination business, and is mainly used to integrate, process and analyze physical examination-related information and provide a unified service interface.

[0052] In the embodiments of the present disclosure, Figure 2 As shown, after the executive body of the embodiment of the present disclosure monitors the sub-discipline results pushed by the physical examination center, it can determine the abnormal items from the physical examination items included in the sub-discipline results. Specifically, each physical examination item usually has a normal value reference range. When determining abnormal items, the physical examination items whose results exceed the corresponding normal value reference range can be marked as abnormal items. For physical examination items that do not have a normal value reference range, it can be judged whether the corresponding physical examination item is abnormal based on the standardized description in the examination results. For example, if the examination results for tonsils show "severe inflammation", the physical examination item can be marked as an abnormal item.

[0053] In another possible implementation, abnormal items can also be screened out when the physical examination center stores the results of the sub-disciplines. That is to say, in addition to using the executive subject of the embodiment of the present disclosure to determine abnormal items from the physical examination results of the physical examination user, the physical examination center or other modules can directly screen or mark the physical examination results and then push them to the executive subject of the embodiment of the present disclosure. The embodiment of the present disclosure does not specifically limit the method for determining abnormal items. In actual applications, it can be set according to actual conditions to achieve its functions.

[0054] In the disclosed embodiment, the additional items that the physical examination user meets can be determined based on the basic information of the physical examination user stored in the system. Specifically, during the physical examination, the physical examination questionnaire and the doctor's face-to-face consultation results can be recorded in the system. When determining the additional items that the physical examination user meets, the additional items that the physical examination user meets can be determined based on the information recorded in the system.

[0055] By determining the additional items that the physical examination user meets, it is possible to generate interpretation information that is more suitable for the current user in the subsequent interpretation process. For example, assuming that a woman's additional items indicate that the user is pregnant, then when interpreting the abnormal items of the user in the future, the additional items can be used as one of the reference dimensions for interpretation. For example, the normal range of serum creatinine for non-pregnant women should be between 53-97 µmol / L, while for pregnant women, the serum creatinine range may drop to 35-71 µmol / L. Therefore, when interpreting the physical examination item of serum creatinine, assuming that the test result is 45µmol / L, for female users whose additional items show that they are pregnant, this value is within the normal range; and for female users whose additional items show that they are not pregnant, this value is an abnormal value, thereby integrating the personal differences of the physical examination users into the process of report interpretation, thereby improving the pertinence and quality of report interpretation. How to take the additional items that the physical examination users meet into the report interpretation process will be explained in detail below, so I will not go into details here.

[0056] S102: Determine the indicator conditions corresponding to the abnormal items and the additional conditions corresponding to the additional items from a pre-established diagnosis rule library.

[0057] Figure 3 A schematic diagram of the structure of a diagnostic rule library provided by an embodiment of the present disclosure. Figure 3 As shown, the diagnosis rule library in the medical examination scenario may include a standard indicator library, a standard diagnostic vocabulary library, an indicator condition library, and an additional condition library.

[0058] In the disclosed embodiment, the standard indicator library may include standard indicator codes, standard indicator names, and indicator value type definitions. For example, assuming that the standard indicator is a blood pressure indicator, its standard indicator code may be defined as 0001, and the standard indicator name of the indicator may be "blood pressure" or "systolic / diastolic pressure". Since the blood pressure test result is usually a numerical value, the indicator value type definition of the indicator may be "numerical type". By standardizing the definition of the codes, names, and indicator value types of each standard indicator in the standard indicator library, the consistency of the data can be guaranteed when the standard diagnostic vocabulary and the indicator condition library reference the content in the standard indicator library.

[0059] In the disclosed embodiment, the standard diagnostic word library may include diagnostic word numbers, diagnostic word names, standard indicator codes, standard indicator names, synonyms, departments, examination items, etc. Exemplarily, for the standard indicator "blood pressure" exemplified above, the diagnostic word names in the corresponding standard diagnostic word library may include "hypertension", "hypotension", etc., wherein the diagnostic word code of "hypertension" may be 0001-1, and the diagnostic word code of "hypotension" may be 0001-2. Synonyms corresponding to "hypertension" may include "blood pressure higher than normal range" and other descriptive words that can also express hypertension, and the corresponding department may be the Department of Cardiology, and the examination item may be blood pressure measurement. It should be noted that the same standard indicator may correspond to multiple diagnostic words, such as for the standard indicator "blood pressure", its standard diagnostic words may include "hypertension" and "hypotension", etc., and each standard diagnostic word may have corresponding coding, synonyms, departments and examination items and other information.

[0060] In the disclosed embodiment, the indicator condition may be a judgment criterion for determining the standard diagnostic word of the target subject under the abnormal item, such as Figure 3 As shown, the indicator condition library may include rule ID (Identifier), condition type, standard indicator code, standard indicator name, standard indicator value type, standard indicator value and standard diagnostic word, etc. The rule here may refer to the rule for interpreting the corresponding diagnostic word, and the rule ID is used to uniquely identify the corresponding interpretation rule. The condition type can be understood as the type of the test result, such as numerical type, diagnostic word type, positive or negative type, Roman numerical type, positive degree type, diagnostic word + singular type, diagnostic word + even type, etc. Exemplarily, assuming that the standard indicator corresponding to the abnormal item of the target subject is "blood pressure", then the corresponding indicator condition may be "systolic blood pressure greater than or equal to 100", at which time the indicator condition is a numerical type. When the examination result of the physical examination user shows that the patient's systolic blood pressure is greater than or equal to 100, the rule of "increased blood pressure" and the standard diagnostic word "hypertension" can be triggered. In this process, the standard indicator value is "≥100", and the standard indicator value type is also a numerical type.

[0061] It should be noted that in the actual application of medical examination scenarios, the indicator conditions can also be subdivided, for example, into laboratory indicators and non-laboratory indicators. Laboratory can refer to health indicators obtained through laboratory tests and assays, which usually involve the analysis of biological samples, such as blood, urine, or other body fluids. Laboratory indicators can usually provide information on biochemical levels, blood composition, enzyme activity, etc., such as blood sugar, blood lipids, liver function indicators, blood routine, etc. Non-laboratory indicators can refer to health indicators obtained by non-laboratory means, usually obtained through physical measurement or interview. These indicators usually include basic body parameters and interview information, which are relatively direct and do not require analysis of biological samples, such as blood pressure, body temperature, heart rate, etc.

[0062] For example, the indicator conditions and interpretation rules corresponding to blood sugar in the laboratory indicators can be "blood sugar>7.0mmol / L is diagnosed as diabetes"; and the indicator conditions and interpretation rules corresponding to the lungs in the non-laboratory indicators can be "chest X-ray reveals lung nodules>10mm, which require further CT examination."

[0063] In the disclosed embodiment, additional conditions may be used to determine the individual circumstances of the user, such as Figure 3 As shown, the additional condition library may include additional items such as gender, age, current medical history, family medical history, past history, smoking history, surgical history, etc. For the personal conditions of different physical examination users, each additional item can obtain a specific value corresponding to the current physical examination user, and the values ​​under different additional items can correspond to different additional conditions. It should be noted that the additional items can be selectively set according to the actual situation, and the disclosed embodiment does not specifically limit this. For example, assuming that the additional item is whether pregnant, the value under the additional item can be yes and no. For the physical examination user whose value under the additional item is yes, that is, the physical examination user who is already pregnant, the judgment criteria for judging the standard diagnostic words under certain abnormal items may be different from the judgment criteria for the physical examination user who is not pregnant. For example, assuming that a woman's additional item indicates that the user is pregnant, then when the abnormal items of the user are interpreted later, the additional item can be interpreted as one of the reference dimensions, such as the normal range of serum creatinine for non-pregnant women should be between 53-97 µmol / L, while for pregnant women, the serum creatinine range may drop to 35-71 µmol / L. Therefore, when interpreting the standard indicator of serum creatinine, the corresponding judgment criteria can be determined according to the different values ​​of different physical examination users under various additional items, so as to take the individual conditions of the physical examination users into consideration in the process of report interpretation, thereby improving the pertinence and accuracy of the interpretation report.

[0064] In another feasible implementation, the diagnostic rule library may also include a service recommendation section. Service recommendations may include offline medical treatment, online consultation, positive examination, home testing, nutritional health care, etc. Among them, offline medical treatment may be to recommend patients to go to the corresponding departments of hospitals or other medical institutions within a specified time for face-to-face detailed examination and consultation to ensure timely access to professional medical knowledge and treatment; online consultation may be to recommend patients to consult online on the platform within a specified period to obtain immediate medical consultation services and reduce travel and waiting time; positive examination may be for positive indicators that appear in the test, and it is recommended that patients re-test the item after a certain period of time to implement monitoring indicator changes and evaluate the progression and recovery of the disease; home testing may be to encourage patients to continuously observe specific health indicators or symptoms at home, and help doctors understand the patient's health status more comprehensively through daily records, so as to adjust the treatment plan in time; nutritional health care may be to provide patients with health care product recommendations based on the doctor's professional evaluation and generated interpretation information, pay attention to specific health needs, assist in treatment or improve personal health levels, and emphasize scientific and reasonable diet and supplement strategies.

[0065] In a specific implementation, when the examination result of the physical examination user under a certain standard indicator is determined, while generating interpretation information corresponding to the interpretation rule according to the indicator conditions and additional conditions, further reference services can be recommended to the physical examination user according to the service recommendation type corresponding to the interpretation rule. For example, assuming that the interpretation rule determined by the physical examination user through the indicator conditions and additional conditions includes "high blood pressure", the home detection service can be recommended to suggest the user to measure blood pressure at a specific time to detect whether the blood pressure is normal.

[0066] In the embodiment of the present disclosure, the executing body of the embodiment of the present disclosure can determine the diagnostic word (including the name of the diagnostic word and the change of the diagnostic word) corresponding to the current physical examination user by comprehensively understanding the contents configured in the various modules described above, and interpret the test results of the physical examination user according to the corresponding interpretation rules, thereby obtaining the interpreted test report corresponding to the test results of the physical examination user.

[0067] In a specific implementation, after establishing the diagnostic rule base as described above, the corresponding indicator conditions and additional conditions can be determined according to the abnormal items and additional items of the current physical examination user. For example, assuming that the blood pressure measurement result of the physical examination user is 150 / 95mmHg, this result is higher than the normal blood pressure range, so it can be marked as an abnormal item; assuming that the physical examination user has a family history of hypertension, this information can be marked as an additional item. In the diagnostic rule base, each rule ID corresponds to a specific combination of diagnostic words and conditions. For the indicator of blood pressure, there may be multiple rule IDs, each ID corresponding to a different diagnostic condition. According to the abnormal item, the execution subject of the embodiment of the present disclosure can derive from the pre-established diagnostic rule base that its corresponding rule ID is "1234", the diagnostic word is "hypertension", the standard indicator name is "blood pressure", the indicator condition is "systolic pressure> 140 mmHg or diastolic pressure> 90 mmHg", the additional condition is "family history of hypertension", and the main inspection suggestion is "recommend further cardiovascular examination". According to the abnormal items of the user, the executive body of the embodiment of the present disclosure can check the rule ID related to blood pressure in the diagnostic rule library, and then find that the indicator condition with ID "1234" matches the abnormal items of the physical examination user. Before, after or at the same time as determining the indicator conditions, the executive body of the embodiment of the present disclosure can also check the user's additional items and match them with the additional conditions with rule ID "1234". Since the additional conditions in the rule also indicate a family history of hypertension, this indicates that the additional items of the physical examination user meet this condition. Then, since both the abnormal items and the additional items of the physical examination user match the conditions in the rule ID "1234", the executive body of the embodiment of the present disclosure can determine that the rule is valid, and obtain corresponding interpretation information and recommendation services (that is, the main inspection suggestions mentioned above) according to the rule.

[0068] S103: Based on the indicator conditions and the additional conditions, the interpretation information corresponding to the abnormal item is determined to obtain a test report corresponding to the test result of the target subject.

[0069] In this step, the interpretation information corresponding to the abnormal item can be determined according to the indicator conditions and additional conditions determined in S102, and then a test report corresponding to the test result of the target subject can be obtained.

[0070] In the disclosed embodiment, the types of abnormal items can be divided into numerical type, diagnostic word type, positive or negative type, Roman numerical type, positive degree type, diagnostic word + singular type, diagnostic word + even type, etc., and then different interpretation processes can be performed according to the different types of abnormal items. In order to simplify the interpretation process, the above types can also be divided into two categories, namely, descriptive abnormal items and numerical abnormal items.

[0071] In one possible implementation, a descriptive abnormal item may refer to an abnormal condition based on a text description, such as "the patient has a persistent headache", "coughing for three consecutive weeks", "unexplained shadows on the liver on a CT scan", etc. Such abnormal items usually do not involve specific data, but are identified through descriptions of symptoms or signs. Specifically, the abnormal item is a descriptive abnormal item; based on the indicator conditions and additional conditions, the interpretation information corresponding to the abnormal item is determined, including: performing word segmentation processing on the description information of the abnormal item to obtain each descriptive word corresponding to the abnormal item; based on the indicator conditions and additional conditions, determining the abnormal word from the descriptive word; according to the indicator code corresponding to the abnormal item, determining the standard diagnostic word corresponding to the indicator code from the diagnostic rule library; matching the abnormal word with the standard diagnostic word, and using the standard diagnostic word with the highest matching degree as the target diagnostic word corresponding to the abnormal item, so as to determine the interpretation information corresponding to the abnormal item based on the interpretation rule corresponding to the target diagnostic word.

[0072] In the specific implementation, Figure 4 As shown, the diagnostic word class, diagnostic word + singular class and diagnostic word + dual class in the previous text can be used as descriptive abnormal items. Exemplarily, the abnormal items of the diagnostic word class here can be "miliary nodules", "allergic rash", etc.; the abnormal items of the diagnostic word + singular class can be "diagnostic word: mild stenosis of the external carotid artery lumen, singular value: less than 50"; the abnormal items of the diagnostic word + dual value class can be "diagnostic word: high blood uric acid, dual value: between 420 and 480". For such abnormal items, the description information of the descriptive abnormal items can be first segmented to obtain each descriptive segmentation; then, according to the determined indicator conditions and additional conditions, the abnormal segmentation can be further determined from each descriptive segmentation, and the abnormal segmentation can be marked as 1, and the non-abnormal segmentation can be marked as 0. For example, assuming that the description information of the abnormal item of thyroid color ultrasound is "multiple thyroid nodules, grade: level 2, regular check-up is recommended", after it is segmented, we can get "multiple thyroid nodules", "grade: level 2", and "regular check-up is recommended"; among them, "multiple thyroid nodules" and "grade: level 2" can be judged as abnormal segmentations for subsequent steps.

[0073] Then, according to the indicator code corresponding to the abnormal item, all standard diagnostic words corresponding to the indicator code can be queried from the diagnostic rule library. For each standard diagnostic word, it can be matched with the marked abnormal participle to determine whether the abnormal participle is aligned with the standard diagnostic word; if an abnormal participle is aligned with multiple standard diagnostic words, the standard diagnostic word with the highest matching degree can be selected as the target diagnostic word for the abnormal item. After obtaining the target diagnostic word, the corresponding interpretation rule ID can be determined again based on the diagnostic rule library using additional conditions, indicator conditions and target diagnostic words. The determined interpretation rule ID can be stored in a buffer pool, and after the interpretation rules of all abnormal items are determined, they can be interpreted together; in addition, after the interpretation rule ID of an abnormal item is determined, the corresponding interpretation rule can be directly used to interpret the abnormal item.

[0074] In another feasible implementation, in addition to performing word segmentation on the description information of the abnormal item, the summary content corresponding to the abnormal item can also be segmented. The description information of the abnormal item is for the description of the indicator, while the summary is for the entire examination item, which may include multiple indicators, such as height, weight, BMI (Body Mass Index), diastolic blood pressure, systolic blood pressure and other indicators in the general examination item; the corresponding summary may include "BMI is too large, pulse is too slow" and so on. When there is a summary containing the current indicator, the summary content can be used for word segmentation first, thereby improving the efficiency of word segmentation and thus improving the efficiency of report interpretation. In addition, the target diagnostic word corresponding to the abnormal item can be determined by performing keyword capture or semantic analysis on the descriptive abnormal item, and then the corresponding interpretation information is determined according to the corresponding interpretation rule. The disclosed embodiment does not specifically limit the definition of the descriptive abnormal item, the method of determining the abnormal segmentation word, and the strategy of determining the target diagnostic word, etc., and can be adjusted according to actual needs in actual applications.

[0075] In a possible implementation, the numerical abnormal item may be an abnormal condition based on a specific numerical value, such as "blood sugar level is 180 mg / dL" or "blood pressure is 150 / 95 mmHg", and these abnormal items are determined to be abnormal by comparing with the standard numerical range. Specifically, the abnormal item is a numerical abnormal item; based on the indicator conditions and additional conditions, the interpretation information corresponding to the abnormal item is determined, including: according to the abnormal numerical value, indicator conditions and additional conditions corresponding to the abnormal item, the target diagnostic word corresponding to the abnormal item is determined from the diagnostic rule library, and the interpretation information corresponding to the abnormal item is determined based on the interpretation rule corresponding to the target diagnostic word.

[0076] In the specific implementation, Figure 4As shown, the numerical class, positive or negative class, Roman numeral class, and positive degree class described above can be used as numerical abnormal items. For example, the numerical class here can be "systolic blood pressure greater than or equal to 100"; the negative or positive class can be "positive (+) or negative (-)"; the Roman numeral class can be "cleanliness of secretions: III"; the positive degree class can be "urine occult blood test 1+ / 2+ / 3+", etc. For such abnormal items, the abnormal values ​​in the results of the physical examination can be directly obtained, and then the corresponding target diagnostic words can be determined for different types of abnormal values ​​and the corresponding indicator conditions and additional conditions, so as to interpret the abnormal items using the interpretation rules corresponding to the target diagnostic words.

[0077] In another possible implementation, the diagnosis rule library may be used to directly match interpretation rules corresponding to the indicator conditions, additional conditions, and abnormal values, so as to interpret the current abnormal item using the interpretation rules.

[0078] In the disclosed embodiment, the interpretation rule corresponding to the target diagnostic word may include multiple target sub-conditions. When determining the interpretation information corresponding to the abnormal item, it is also possible to determine whether the indicator condition and the additional condition corresponding to the current abnormal item meet the multiple target sub-conditions. Specifically, determining the interpretation information corresponding to the abnormal item includes: determining each target sub-condition associated with the target diagnostic word corresponding to the abnormal item from the diagnostic rule library; judging whether the detection result of the abnormal item meets each target sub-condition; and determining the interpretation information corresponding to the abnormal item based on the interpretation rule of the target diagnostic word in response to the detection result of the abnormal item meeting each target sub-condition.

[0079] In a specific implementation, before determining the interpretation information corresponding to the abnormal item, the preset number of target sub-conditions that need to be met can be determined first, and then the detection results of the abnormal item can be checked one by one to see whether they meet each target sub-condition, and the number of sub-conditions met can be recorded. When the number of sub-conditions met is the same as the preset number of sub-conditions, the corresponding interpretation rule can be deemed valid, and then the interpretation information corresponding to the abnormal item can be determined based on the interpretation rule; when the number is different, the interpretation rule can be abandoned because the conditions are not fully met, thereby ensuring that the rule is considered valid only when all the standards are met, which helps to improve the quality of report interpretation.

[0080] In another possible implementation, sub-conditions that need to be met may be pre-defined, and the inspection results of abnormal items may be judged one by one whether they meet these target sub-conditions. When unsatisfied sub-conditions appear, the current interpretation rules may be directly abandoned.

[0081] In the embodiments of the present disclosure, Figure 4As shown, the step of deduplication of rules can also be performed. Specifically, the diagnosis rule base can be queried to check whether the interpretation rules corresponding to the abnormal items are not deleted or enabled. If some interpretation rules do not meet these two conditions in the diagnosis rule base, it means that these rules have been enabled when interpreting the test results of the current physical examination user. At this time, these interpretation rules can be filtered out to avoid duplication of interpretation information, thereby improving the quality and efficiency of report interpretation.

[0082] In the disclosed embodiment, since each interpretation rule can include multiple sub-conditions, the sub-conditions between different interpretation rules may overlap. In order to improve the efficiency of report interpretation, repeated interpretation rules can also be merged. Specifically, the method also includes: in response to each target sub-condition associated with any target diagnosis word being completely covered by each target sub-condition associated with another target diagnosis word, deleting any target diagnosis word.

[0083] In a specific implementation, if it is found that the sub-condition set of interpretation rule A is completely included in the sub-condition set of interpretation rule B, the included rule A can be regarded as redundant, and the more comprehensive interpretation rule B can be retained. For example, assuming that interpretation rule A includes sub-conditions 1, 2, and 3; interpretation rule B includes sub-conditions 1 and 3; and interpretation rule C only includes sub-condition 1, at this time, the sub-conditions in interpretation rule A have completely covered interpretation rule B and interpretation rule C, then interpretation rule B and interpretation rule C can be eliminated, and only interpretation rule A can be retained. This reduces the complexity of the interpretation rules, thereby improving the efficiency and quality of report interpretation.

[0084] Another possible implementation method is to further refine the above method. For example, sub-conditions can be used as the smallest unit for merging for elimination. For example, it is assumed that interpretation rule A includes sub-conditions 1, 2, and 3; and interpretation rule B includes sub-conditions 1 and 4. At this time, if sub-conditions 1 in interpretation rule A and interpretation rule B overlap, sub-condition 1 in interpretation rule B can be eliminated, and only sub-condition 1 in interpretation rule A can be retained. In this way, there is no need to eliminate only when there is full coverage, which can further improve the efficiency and quality of report interpretation.

[0085] In an embodiment of the present disclosure, the interpretation rules of the target diagnostic words include diagnostic word codes and indicator codes; the method also includes: in response to the presence of at least two target diagnostic words with the same diagnostic word codes and indicator codes among different target diagnostic words corresponding to the target subject, based on the interpretation rules of the target diagnostic word with the highest attention index among the at least two target diagnostic words, determining the interpretation information corresponding to the abnormal item.

[0086] In a specific implementation, the interpretation rules may include rule ID, standard diagnostic word code, physical examination indicator code and other relevant information (such as indicator value type, upper and lower limits, etc.). Among them, the standard diagnostic word code can be a standardized code used to describe the examination results, which can be used to represent a specific disease or health status; the physical examination indicator code can be used to identify specific items in the physical examination. In some scenarios, multiple interpretation rules may correspond to the same standard diagnostic word code and physical examination indicator code, which means that they are all used to judge the same health status and use the same physical examination items. At this time, the attention index corresponding to each interpretation rule can be used to determine which interpretation rule to use to interpret the abnormal item. Specifically, the interpretation rule with higher attention can be selected to interpret the abnormal item, and the interpretation rule with lower attention can be abandoned.

[0087] For example, suppose there are interpretation rule A and interpretation rule B, the attention index of interpretation rule A is 3, the standard diagnostic word code is X01 (indicating high blood sugar), and the physical examination indicator code is T01 (indicating blood sugar); the attention index of interpretation rule B is 7, the standard diagnostic word code is X01 (indicating high blood sugar), and the physical examination indicator code is T01 (indicating blood sugar). In this case, interpretation rule B can be retained, and interpretation rule A can be eliminated. This can further reduce the complexity of the interpretation rules, which helps to improve the efficiency and quality of report interpretation.

[0088] In another possible implementation, interpretation may be performed based on interpretation rule A and interpretation rule B respectively, and then by comparing the interpretation information generated by the two, it is determined which interpretation information to retain to generate the final test report.

[0089] In the embodiment of the present disclosure, as described above, before, after or while generating the interpretation information, the corresponding service recommendation or suggestion can also be determined according to the interpretation rule corresponding to the target diagnostic word. The specific method is as described above and will not be repeated here.

[0090] In the disclosed embodiment, an examination report corresponding to the examination result of the physical examination user is generated, and it can also be pushed to professional medical staff for correction, thereby further ensuring the quality of the interpretation report. In addition, relevant personnel can also adjust the diagnosis rule library based on the content corrected by the medical staff to continuously optimize the content of the rule library, thereby continuously improving the quality of the report interpretation.

[0091] It should be noted that the above content only uses the medical examination scenario as an example to illustrate the report interpretation method provided by the embodiment of the present disclosure, and does not constitute an improper limitation on the present invention. In practical applications, the report interpretation method provided by the embodiment of the present disclosure can also be applied to various scenarios such as equipment detection and code testing according to actual needs and circumstances. In these scenarios, it is only necessary to adjust the above method according to the actual scenario to achieve the desired effect. The embodiment of the present disclosure does not make any specific limitation on this, and the realization of its function shall prevail.

[0092] According to a second aspect of the embodiment of the present disclosure, Figure 5 As shown, a device 500 for interpreting a physical examination report is provided, comprising:

[0093] A determination module 501 is used to determine abnormal items in the target subject detection result and additional items satisfied by the target subject;

[0094] The diagnosis module 502 is used to determine the indicator conditions corresponding to the abnormal items and the additional conditions corresponding to the additional items from the pre-established diagnosis rule base;

[0095] The interpretation module 503 is used to determine the interpretation information corresponding to the abnormal item based on the indicator conditions and the additional conditions to obtain a detection report corresponding to the detection result of the target subject.

[0096] Optionally, the abnormal item is a descriptive abnormal item; the interpretation module 503 is specifically used for:

[0097] Perform word segmentation processing on the description information of the abnormal item to obtain each description word segmentation corresponding to the abnormal item;

[0098] Based on the indicator conditions and additional conditions, abnormal segmentation words are determined from the description segmentation words;

[0099] According to the indicator code corresponding to the abnormal item, the standard diagnostic word corresponding to the indicator code is determined from the diagnostic rule library;

[0100] The abnormal segmented words are matched with the standard diagnostic words, and the standard diagnostic word with the highest matching degree is used as the target diagnostic word corresponding to the abnormal item, so as to determine the interpretation information corresponding to the abnormal item based on the interpretation rule corresponding to the target diagnostic word.

[0101] Optionally, the abnormal item is a numerical abnormal item; the interpretation module 503 is specifically used for:

[0102] According to the abnormal value, indicator conditions and additional conditions corresponding to the abnormal item, the target diagnostic word corresponding to the abnormal item is determined from the diagnostic rule library, so as to determine the interpretation information corresponding to the abnormal item based on the interpretation rule corresponding to the target diagnostic word.

[0103] Optionally, the interpretation module 503 is specifically used for:

[0104] Determining each target sub-condition associated with the target diagnostic word corresponding to the abnormal item from the diagnostic rule base;

[0105] Determine whether the detection results of the abnormal items meet each target sub-condition;

[0106] In response to the detection result of the abnormal item satisfying each target sub-condition, based on the interpretation rule of the target diagnostic word, interpretation information corresponding to the abnormal item is determined.

[0107] Optionally, the interpretation module 503 is further used for:

[0108] In response to each target sub-condition associated with any target diagnostic word being completely covered by each target sub-condition associated with another target diagnostic word, any target diagnostic word is deleted.

[0109] Optionally, the indicator condition is a judgment criterion for determining the standard diagnostic term of the target subject under the abnormal item; the additional condition is used to indicate the individual information of the target subject under a preset dimension.

[0110] Optionally, the interpretation rules of the target diagnostic word include diagnostic word codes and indicator codes; the interpretation module 503 is further used for:

[0111] In response to the presence of at least two target diagnostic words with the same diagnostic word code and indicator code among different target diagnostic words corresponding to the target subject, interpretation information corresponding to the abnormal item is determined based on the interpretation rule of the target diagnostic word with the highest attention index among the at least two target diagnostic words.

[0112] According to the third aspect of the embodiment of the present disclosure, an electronic device for providing interpretation of physical examination reports includes: one or more processors; a storage device for storing one or more programs, when the one or more programs are executed by one or more processors, the one or more processors implement the method provided by the first aspect of the embodiment of the present disclosure.

[0113] According to a fourth aspect of an embodiment of the present disclosure, a computer-readable medium is provided, on which a computer program is stored, and when the program is executed by a processor, the method provided by the first aspect of the embodiment of the present disclosure is implemented.

[0114] According to a fifth aspect of an embodiment of the present invention, there is provided a computer program product, including a computer program, which implements the method of any of the above embodiments when executed by a processor.

[0115] Figure 6 An exemplary system architecture 600 to which the report interpretation method or report interpretation apparatus embodied in the present disclosure may be applied is shown.

[0116] like Figure 6As shown, system architecture 600 may include terminal devices 601, 602, 603, network 604 and server 605. Network 604 is used to provide a medium for communication links between terminal devices 601, 602, 603 and server 605. Network 604 may include various connection types, such as wired, wireless communication links or optical fiber cables, etc.

[0117] The user can use the terminal devices 601, 602, 603 to interact with the server 605 through the network 604 to receive or send messages, etc. Various communication client applications can be installed on the terminal devices 601, 602, 603, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, social platform software, etc. (only for example).

[0118] The terminal devices 601 , 602 , and 603 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop computers, and desktop computers, etc.

[0119] The server 605 may be a server that provides various services, such as a backend management server (for example only) that provides support for shopping websites browsed by users using the terminal devices 601, 602, and 603. The backend management server may process the received report interpretation request and feed back the processing result (for example only) to the terminal device.

[0120] It should be noted that the report interpretation method provided in the embodiment of the present invention is generally executed by the server 605, and accordingly, the report interpretation device is generally set in the server 605. The report interpretation method provided in the embodiment of the present invention can also be executed by the terminal devices 601, 602, and 603, and accordingly, the report interpretation device can be set in the terminal devices 601, 602, and 603.

[0121] It should be understood that Figure 6 The number of terminal devices, networks and servers in the embodiment is only for illustration. Any number of terminal devices, networks and servers may be provided according to the implementation requirements.

[0122] Reference below Figure 7 , which shows a schematic diagram of the structure of a computer system 700 of a terminal device suitable for implementing an embodiment of the present invention. Figure 7 The terminal device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0123] like Figure 7As shown, the computer system 700 includes a central processing unit (CPU) 701, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 702 or a program loaded from a storage part 708 into a random access memory (RAM) 703. In the RAM 703, various programs and data required for the operation of the system 700 are also stored. The CPU 701, the ROM 702, and the RAM 703 are connected to each other through a bus 704. An input / output (I / O) interface 705 is also connected to the bus 704.

[0124] The following components are connected to the I / O interface 705: an input section 706 including a keyboard, a mouse, etc.; an output section 707 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 708 including a hard disk, etc.; and a communication section 709 including a network interface card such as a LAN card, a modem, etc. The communication section 709 performs communication processing via a network such as the Internet. A drive 710 is also connected to the I / O interface 705 as needed. A removable medium 711, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 710 as needed, so that a computer program read therefrom is installed into the storage section 708 as needed.

[0125] In particular, according to the embodiments disclosed in the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present invention include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 709, and / or installed from the removable medium 711. When the computer program is executed by the central processing unit (CPU) 701, the above-mentioned functions defined in the system of the present invention are executed.

[0126] It should be noted that the computer-readable medium shown in the present invention may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present invention, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0127] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present invention. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0128] The modules involved in the embodiments of the present invention may be implemented by software or hardware. The modules described may also be set in a processor. For example, a processor includes a determination module, a diagnosis module, and an interpretation module, wherein the names of these modules do not constitute a limitation on the modules themselves in certain circumstances. For example, the determination module may also be described as a "module for determining abnormal items in the detection results of the target subject and additional items satisfied by the target subject".

[0129] As another aspect, the present invention also provides a computer-readable medium, which may be included in the device described in the above embodiment; or it may exist independently without being assembled into the device. The above computer-readable medium carries one or more programs, and when the above one or more programs are executed by a device, the device implements the following method: determining abnormal items in the target subject detection result and additional items satisfied by the target subject; determining the indicator conditions corresponding to the abnormal items and the additional conditions corresponding to the additional items from a pre-established diagnostic rule library; based on the indicator conditions and the additional conditions, determining the interpretation information corresponding to the abnormal items to obtain a detection report corresponding to the target subject detection result.

[0130] Finally, it should be noted that the above embodiments are only specific implementation methods of the present disclosure, which are used to illustrate the technical solutions of the present disclosure, rather than to limit them. The protection scope of the present disclosure is not limited thereto. Although the present disclosure is described in detail with reference to the above embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above embodiments within the technical scope disclosed in the present disclosure, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present disclosure, and should be included in the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be based on the protection scope of the claims.

Claims

1. A method for interpreting a physical examination report, characterized in that: include: Determine the abnormal items in the target subject's detection results and the additional items that the target subject satisfies; Determining the indicator condition corresponding to the abnormal item and the additional condition corresponding to the additional item from a pre-established diagnostic rule library; Based on the indicator conditions and the additional conditions, the interpretation information corresponding to the abnormal item is determined to obtain a test report corresponding to the test result of the target subject.

2. The method according to claim 1, characterized in that The abnormal item is a descriptive abnormal item; based on the indicator condition and the additional condition, the interpretation information corresponding to the abnormal item is determined, including: Performing word segmentation processing on the description information of the abnormal item to obtain each description word segmentation corresponding to the abnormal item; Based on the indicator conditions and the additional conditions, determining abnormal participles from the description participles; According to the indicator code corresponding to the abnormal item, determining the standard diagnostic word corresponding to the indicator code from the diagnostic rule library; The abnormal word segmentation is matched with the standard diagnostic word, and the standard diagnostic word with the highest matching degree is used as the target diagnostic word corresponding to the abnormal item, so as to determine the interpretation information corresponding to the abnormal item based on the interpretation rule corresponding to the target diagnostic word.

3. The method according to claim 1, characterized in that The abnormal item is a numerical abnormal item; Determining interpretation information corresponding to the abnormal item based on the indicator condition and the additional condition includes: According to the abnormal value corresponding to the abnormal item, the indicator condition and the additional condition, the target diagnostic word corresponding to the abnormal item is determined from the diagnostic rule library, so as to determine the interpretation information corresponding to the abnormal item based on the interpretation rule corresponding to the target diagnostic word.

4. The method according to any one of claims 1 to 3, characterized in that: Determining interpretation information corresponding to the abnormal item, including: Determining each target sub-condition associated with the target diagnostic word corresponding to the abnormal item from the diagnostic rule base; Determine whether the detection result of the abnormal item meets each target sub-condition; In response to the detection result of the abnormal item satisfying each target sub-condition, based on the interpretation rule of the target diagnostic word, interpretation information corresponding to the abnormal item is determined.

5. The method according to claim 4, characterized in that The method further comprises: In response to each target sub-condition associated with any target diagnostic word being completely covered by each target sub-condition associated with another target diagnostic word, the any target diagnostic word is deleted.

6. The method according to claim 1, characterized in that The indicator condition is a judgment criterion for determining the standard diagnostic term of the target subject under the abnormal item; the additional condition is used to indicate the individual information of the target subject under a preset dimension.

7. The method according to any one of claims 1 to 6, characterized in that: The interpretation rules of the target diagnostic word include diagnostic word codes and indicator codes; the method further includes: In response to the presence of at least two target diagnostic words with the same diagnostic word code and indicator code among different target diagnostic words corresponding to the target subject, the interpretation information corresponding to the abnormal item is determined based on the interpretation rule of the target diagnostic word with the highest attention index among the at least two target diagnostic words.

8. A device for interpreting a medical examination report, characterized in that: include: A determination module, used to determine abnormal items in the target subject detection results and additional items satisfied by the target subject; A diagnosis module, used to determine the indicator condition corresponding to the abnormal item and the additional condition corresponding to the additional item from a pre-established diagnosis rule library; The interpretation module is used to determine the interpretation information corresponding to the abnormal item based on the indicator condition and the additional condition, so as to obtain a detection report corresponding to the detection result of the target subject.

9. An electronic device, characterized in that: include: one or more processors; a storage device for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 7.

10. A computer readable medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

11. A computer program product, comprising a computer program, which, when executed by a processor, implements the method according to any one of claims 1 to 7.

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