Medical record information query method, electronic equipment and storage medium

Abstract

The invention discloses a medical record information query method, electronic equipment and a storage medium. The method comprises the steps that in response to a query request of a medical record table, first prompt information corresponding to the query request is determined, and the first prompt information is used for describing content related to the medical record table needing to be queried; a first feedback result is determined according to an information query model, the first prompt information and a pre-constructed medical record database, the medical record database comprises a plurality of medical record tables, and the medical record tables are obtained through statistics of a plurality of medical record data; the first feedback result at least comprises the first identification information of the medical record table corresponding to the first prompt information in the medical record database, the problems that in the related technology, the efficiency is low and the query result is not accurate enough by means of a manual and keyword query method are solved, related information can be accurately and rapidly obtained from the medical record database, and the query efficiency is improved. The query efficiency and accuracy are improved, and the time for medical staff to search for data is shortened.

Description

Technical Field

[0001] The present invention relates to the technical field of natural language processing, and particularly to a method for querying medical record information, an electronic device, and a storage medium. Background Art

[0002] With the development of digital technology, medical institutions have accumulated a large amount of medical record data. However, how to effectively manage and utilize this data has become a challenge. Especially in the face of emergencies or large-scale medical research, it is particularly important to quickly and accurately obtain the required information from the vast amount of data.

[0003] In the related art, the methods for querying medical records mainly rely on manual searching or simple keyword search, which have problems such as low efficiency and insufficient accuracy. Manual searching requires a large amount of time and effort, and is prone to omissions and errors; while simple keyword search often fails to accurately understand the query intention, resulting in inaccurate query results. Summary of the Invention

[0004] The present invention provides a method for querying medical record information, an electronic device, and a storage medium to solve the problems of low efficiency and inaccurate query results in the related art, which rely on manual and keyword query methods.

[0005] According to one aspect of the present invention, a method for querying medical record information is provided, including:

[0006] Responding to a query request for a medical record form, determining a first prompt message corresponding to the query request, where the first prompt message is used to describe the content related to the medical record form to be queried;

[0007] Determining a first feedback result according to an information query model, the first prompt message, and a pre-constructed medical record database, where the medical record database includes multiple medical record forms, and the medical record forms are statistically obtained from multiple medical record data; the first feedback result at least includes the first identification information of the medical record form corresponding to the first prompt message in the medical record database.

[0008] According to another aspect of the present invention, a device for querying medical record information is provided, including:

[0009] A first prompt message determination module, configured to respond to a query request for a medical record form and determine a first prompt message corresponding to the query request, where the first prompt message is used to describe the content related to the medical record form to be queried;

[0010] The first feedback result determination module is configured to determine a first feedback result according to an information query model, the first prompt information, and a pre-constructed medical record database, where the medical record database includes multiple medical record tables, and the medical record tables are statistically obtained according to multiple medical record data; the first feedback result at least includes the first identification information of the medical record table corresponding to the first prompt information in the medical record database.

[0011] According to another aspect of the present invention, there is provided an electronic device, which includes:

[0012] At least one processor; and

[0013] A memory communicatively connected to the at least one processor; wherein,

[0014] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the query method for medical record information according to any embodiment of the present invention.

[0015] According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to implement the query method for medical record information according to any embodiment of the present invention when executed.

[0016] The technical solution of the embodiment of the present invention, by responding to a query request for a medical record table, determines the first prompt information corresponding to the query request. Since the first prompt information is used to describe the content related to the medical record table to be queried, it can support flexible inquiries about medical record tables, adapt to different medical record table query requests, and expand the application scenarios of medical record table queries; then, according to the information query model, the first prompt information, and the pre-constructed medical record database, a first feedback result is determined. Since the medical record database includes multiple medical record tables, and the medical record tables are statistically obtained according to multiple medical record data; the first feedback result at least includes the first identification information of the medical record table corresponding to the first prompt information in the medical record database, and can automatically generate feedback information for the queried medical record table through the information inquiry model, solving the problems of low efficiency and inaccurate query results in the related art relying on manual and keyword query methods, accurately and quickly obtaining relevant information from the medical record database, improving query efficiency and accuracy, and reducing the time for medical staff to search for information.

[0017] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present invention, nor is it used to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the accompanying drawings required for the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings.

[0019] Figure 1 is a flowchart of a method for querying medical record information provided in Embodiment 1 of the present invention;

[0020] Figure 2 is a flowchart of a method for querying medical record information provided in Embodiment 2 of the present invention;

[0021] Figure 3 is a flowchart of a method for querying medical record information provided in Embodiment 3 of the present invention;

[0022] Figure 4 is a schematic structural diagram of a device for querying medical record information provided in Embodiment 4 of the present invention;

[0023] Figure 5 is a schematic structural diagram of an electronic device for implementing the method for querying medical record information in the embodiments of the present invention. Detailed implementation manners

[0024] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0025] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above accompanying drawings are used to distinguish similar objects, and do not necessarily need to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products, or devices.

[0026] It should be noted that the modifiers "a" and "multiple" mentioned in this disclosure are illustrative rather than restrictive. Those skilled in the art should understand that, unless explicitly stated otherwise in the context, it should be understood as "one or more".

[0027] The names of the messages or information exchanged between multiple devices in the embodiments of this disclosure are only for illustrative purposes and are not used to limit the scope of these messages or information.

[0028] It can be understood that before using the technical solutions disclosed in the embodiments of this disclosure, the types, usage scopes, usage scenarios, etc. of the personal information involved in this disclosure should be informed to users and the authorization of users should be obtained in an appropriate manner in accordance with relevant laws and regulations.

[0029] For example, when responding to receiving an active request from a user, a prompt message is sent to the user to clearly prompt the user that the operation requested by the user will require obtaining and using the user's personal information. Thus, the user can autonomously choose whether to provide personal information to software or hardware such as an electronic device, application program, server, or storage medium that performs the operations of the technical solutions of this disclosure according to the prompt message.

[0030] As an optional but non-limiting implementation manner, the way of sending a prompt message to the user in response to receiving an active request from the user can be, for example, in the form of a pop-up window, and the prompt message can be presented in text in the pop-up window. In addition, the pop-up window can also carry a selection control for the user to choose "agree" or "disagree" to provide personal information to the electronic device.

[0031] It can be understood that the above process of notifying and obtaining user authorization is only illustrative and does not constitute a limitation on the implementation manners of this disclosure. Other ways that meet relevant laws and regulations can also be applied to the implementation manners of this disclosure.

[0032] It can be understood that the data involved in this technical solution (including but not limited to the data itself, the acquisition or use of the data) should comply with the requirements of corresponding laws, regulations and related provisions.

[0033] Embodiment 1

[0034] Figure 1 FIG. 1 is a flowchart of a method for querying medical record information provided in Embodiment 1 of the present invention. This embodiment is applicable to the situation of quickly and accurately retrieving specific patient or case information from a large amount of medical record data. This method can be executed by a query device for medical record information, and the query device for medical record information can be implemented in the form of hardware and / or software. Optionally, it is implemented through an electronic device, and the electronic device can be a mobile terminal, a PC terminal or a server, etc.

[0035] As Figure 1As shown, the method may specifically include:

[0036] S110. In response to a query request for a medical record form, determine first prompt information corresponding to the query request, where the first prompt information is used to describe content related to the medical record form to be queried.

[0037] Among them, the medical record form can be understood as a form or document recording a patient's medical information, including but not limited to the patient's diagnosis results, treatment plans, doctor's suggestions, etc. The medical record form is used to store and display the patient's medical information, which helps medical staff understand the patient's overall health status and formulate reasonable treatment plans. The query request can be understood as an initiated operation instruction for obtaining a specific medical record form. The first prompt information can be understood as a descriptive text generated according to the user's query request, which is used to clarify the medical record form that the user wants to query. The first prompt information, as a search keyword or condition, can be used to screen out the medical record forms that meet the requirements from the medical record database to ensure the relevance and accuracy of the feedback results.

[0038] S120. Determine a first feedback result according to an information query model, the first prompt information, and a pre-constructed medical record database, where the medical record database includes multiple medical record forms, and the medical record forms are statistically obtained from multiple medical record data; the first feedback result at least includes the first identification information of the medical record form corresponding to the first prompt information in the medical record database.

[0039] Among them, the information query model can be understood as a machine learning model pre-trained for querying medical record forms in the medical record database. The information query model in the embodiments of the present disclosure can be used to query medical record forms in the medical record database. Optionally, the information query model can be understood as a machine learning model with a query function. The information query model can be obtained by training a machine learning model based on a training sample set. Among them, the machine learning model can be preset according to the scenario requirements. The medical record database can be understood as an electronic library that centrally stores a large amount of medical record data, including but not limited to various formats of medical record data collected at different time points and different medical institutions. By identifying, parsing, sorting, and storing the content in the medical record data, a medical record database can be constructed. The first feedback result can be understood as the information of the medical record form that matches the query request. The first feedback result at least includes the first identification information of the medical record form that matches the query request. The first identification information can be understood as the information used to identify a specific medical record form in the medical record database, including but not limited to numbers, names, or other features, etc. The first identification information can help quickly locate the specific medical record form, facilitating further viewing of detailed content or performing operations.

[0040] Based on the above solution, optionally, before determining the first feedback result according to the information query model, the first prompt information, and the pre-constructed medical record database, it further includes: obtaining a plurality of medical record data, and obtaining field information related to the data statistical dimension from the medical record data according to a preset data statistical dimension; wherein, the data statistical dimension is associated with the content expected to be presented in the medical record form; filling the field information into a pre-established table template according to a preset format to obtain a medical record form, and generating first identification information corresponding to the medical record form according to a preset rule.

[0041] Among them, the medical record data can be understood as a data set of medical information, including but not limited to diagnosis results, treatment processes, drug usage conditions, and inspection reports, etc. The medical record data serves as the basic data source for constructing the medical record form, providing detailed records of the patient's health status and the medical service process. The data statistical dimension can be understood as a set of criteria for organizing and classifying medical record data, used to help extract relevant information from the vast medical record data. The data statistical dimension is associated with the content expected to be presented in the medical record form. The field information can be understood as specific variables in the medical record data related to a specific data statistical dimension, including but not limited to the Chinese name of the field, the English name of the field, and the field explanation, etc. The preset format can be understood as the requirements for the data type, length, order, and display style, etc., that each field in the table template should follow. The preset format enables all medical record forms to present information in a unified manner. The table template can be understood as a pre-designed spreadsheet format, defining each part and layout structure that the medical record form should contain. The table template provides a unified format specification for the medical record form, ensuring consistency and comparability between different medical record forms, and facilitating reading and understanding.

[0042] An alternative implementation manner is to collect the patient's medical record data from multiple sources (such as hospital systems, electronic health records, etc.), including diagnosis results, treatment records, or inspection reports, etc.; select a preset data statistical dimension (such as the Chinese name of the field, the English name, and the explanation information, etc.) according to the content expected to be presented in the medical record form; extract relevant field information from the medical record data based on the selected statistical dimension; fill the extracted field information into a pre-designed table template according to a preset format (such as the field arrangement order or data length requirements, etc.) to form a standardized medical record form; create unique first identification information for each medical record form according to a preset rule (such as a number generation algorithm or a naming specification) for distinguishing and retrieving different medical record forms, and determine the medical record database according to different case forms.

[0043] Adopting this technical solution, by preprocessing multiple medical record data before querying, extracting relevant field information according to preset data statistical dimensions, and filling the field information into a table template in a preset format to generate a structured medical record form, not only improves the standardization and consistency of medical record data, but also facilitates subsequent rapid retrieval and analysis. The first identification information helps to uniquely identify each medical record form, simplifies the information management process, ensures the efficient organization and utilization of medical record data, and enables medical staff to obtain medical record information more quickly and accurately.

[0044] Based on the above solution, optionally, after determining the first feedback result according to the information query model, the first prompt information, and the pre-constructed medical record database, it further includes: in response to a trigger operation on the first identification information, displaying an access permission page of the medical record form corresponding to the first identification information, and receiving an access item authentication operation of the target object through the access permission page, where the access item authentication operation is used to verify whether the object to be verified has the access permission to the medical record form; in the case that the target object has the access permission, displaying the medical record form corresponding to the first identification information.

[0045] Among them, the access permission page can be understood as an interface or window for verifying whether a user has the right to access a specific medical record form. The access permission page can ensure that only authorized personnel can view sensitive medical information, protect patient privacy, and comply with relevant laws and regulations. The access permission page can include, but is not limited to, input credentials (such as username and password), etc. The target object can be understood as an individual or system entity attempting to access the medical record form, including but not limited to doctors, nurses, or other healthcare providers, etc. The access item authentication operation can be understood as a series of actions performed on the access permission page to prove the identity of the target object and confirm its access permission. By the access item authentication operation, it is verified whether the target object has the qualification to view a specific medical record form, including but not limited to methods such as inputting login credentials, answering security questions, or using biometric technology (such as fingerprint scanning). The access permission can be understood as the right to view or modify a specific medical record form. Different objects may have different access permissions, such as read-only access, edit access, etc.

[0046] An optional implementation manner is that when a user triggers an operation on the first identification information, an access permission page will be displayed, and the user needs to complete the access item authentication operation through this page to verify whether they have the right to access the requested medical record form. If the authentication is successful and the target object actually has the access permission, the corresponding medical record form will be displayed for the user to view.

[0047] By adopting this technical solution, by introducing an authentication page before accessing the medical record form, it is ensured that only the target object with verified corresponding access rights can view the specific medical record content, greatly enhancing the confidentiality and security of medical record information and preventing illegal access to sensitive medical data.

[0048] In the technical solution of the embodiment of the present invention, by responding to the query request of the medical record form, the first prompt information corresponding to the query request is determined. Since the first prompt information is used to describe the content related to the medical record form to be queried, it can support flexible inquiries about the medical record form, adapt to different medical record form query requests, and expand the application scenarios of medical record form queries. Then, according to the information query model, the first prompt information, and the pre-constructed medical record database, the first feedback result is determined. Since the medical record database includes multiple medical record forms, and the medical record forms are statistically obtained from multiple medical record data; the first feedback result at least includes the first identification information of the medical record form corresponding to the first prompt information in the medical record database, and can automatically generate feedback information of the queried medical record form through the information inquiry model, solving the problems of low efficiency and inaccurate query results in the related art relying on manual and keyword queries, accurately and quickly obtaining relevant information from the medical record database, improving the query efficiency and accuracy, and reducing the time for medical staff to search for information.

[0049] Embodiment Two

[0050] Figure 2 It is a flowchart of a method for querying medical record information provided by the second embodiment of the present invention. Based on the above embodiment, this embodiment further refines the determination of the first feedback result according to the information query model, the first prompt information, and the medical record database. Optionally, determining the first feedback result according to the information query model, the first prompt information, and the pre-constructed medical record database includes: determining the second prompt information according to the first prompt information and the preset first prompt template, and determining the first feedback result according to the second prompt information, the information query model, and the medical record database, where the first prompt template includes the first context information and the query description field; the first context information at least includes all medical record form information in the medical record database, and the medical record form information at least includes the first identification information and the first identification interpretation of the medical record form, and the query description field is used to convert the first prompt information into a standardized field. The specific implementation can refer to the description of this embodiment. Among them, the same or similar technical features as those in the foregoing embodiments will not be repeated here.

[0051] As Figure 2 shown, the method may specifically include:

[0052] S210. In response to a query request for a medical record form, determine first prompt information corresponding to the query request, where the first prompt information is used to describe content related to the medical record form to be queried.

[0053] S210. Determine second prompt information according to the first prompt information and a preset first prompt template, and determine a first feedback result according to the second prompt information, an information query model, and the medical record database, where the medical record database includes multiple medical record forms, and the medical record forms are obtained by statistically analyzing multiple medical record data; the first feedback result at least includes first identification information of the medical record form corresponding to the first prompt information in the medical record database, the first prompt template includes first context information and a query description field; the first context information at least includes all medical record form information in the medical record database, and the medical record form information at least includes first identification information of the medical record form and a first identification interpretation, and the query description field is used to convert the first prompt information into a standardized field.

[0054] Among them, the first prompt template can be understood as a structured template, including standardized fields and context information, and is used to guide the conversion of the first prompt information into more accurate query conditions. The first prompt template provides a framework to standardize and optimize the query process, making the information query model more accurate and effective during querying, and better understanding and parsing the user's query requirements. The second prompt information can be understood as a more specific and structured query instruction generated based on the first prompt information and the first prompt template. As a further refined query condition, the second prompt information can more accurately match relevant information in the medical record database, improving query efficiency and accuracy. The first context information can be understood as all medical record form information in the medical record database, including but not limited to first identification information of the medical record form and a first identification interpretation, etc. The first context information can better understand the user's needs when processing the query request and make a more accurate response. The first identification interpretation can be understood as an explanation or description of the meaning of the first identification information, helping to understand the specific content of the medical record form represented by the identification. The query description field can be understood as the part used to convert the first prompt information into a standardized field, so as to facilitate the information query model to understand and process.

[0055] Based on the above solution, optionally, determining the first context information includes: extracting first identification information and a first identification interpretation of multiple medical record forms, and generating the first context information according to the first identification information and the first identification interpretation.

[0056] An optional implementation manner, the first prompt template can be as shown in the following table.

[0057]

[0058] Based on the above solution, optionally, the query description field includes a preset first fixed description field and a first replaceable field; determining the second prompt information according to the first prompt information and the preset first prompt template includes: extracting a first prompt word from the first prompt information, and using the first prompt word to replace the first replaceable field in the query description field that matches its semantics to obtain the second prompt information.

[0059] Among them, the first fixed description field can be understood as the descriptive part that is preset in the query description field and does not change with the input. The first fixed description field can provide a fixed framework or background information to help understand the overall context of the query. The first replaceable field can be understood as the part that changes dynamically according to the user's query content in the query description field. The first replaceable field can be the field to be filled in the query description field.

[0060] An optional implementation manner is that the second prompt information can be as shown in the following table.

[0061]

[0062] Adopting this technical solution, by extracting the first prompt word from the first prompt information to replace the first replaceable field in the query description field, the second prompt information is made more accurate and personalized, which not only improves the accuracy of the query, but also better meets specific query requirements and improves the information retrieval efficiency.

[0063] The technical solution of the embodiment of the present invention converts the first prompt information into the second prompt information including standardized fields by using the first prompt template, making the query process more standardized and accurate. Introducing the first context information ensures a comprehensive understanding of the medical record database, thereby improving the relevance and accuracy of the query. It can not only efficiently locate the medical record table information that best meets the requirements from the huge medical record data, but also help users quickly understand the content of the query result by displaying the first identification information of the medical record table and its interpretation.

[0064] Embodiment III

[0065] Figure 3The flowchart of a method for querying medical record information provided in the third embodiment of the present invention is a further supplementary description of the above embodiment. Optionally, after determining the first feedback result according to the information query model, the first prompt information, and the pre-established medical record database, it further includes: obtaining third prompt information, where the third prompt information is at least used to describe the table fields to be queried in the medical record form; determining a second feedback result according to the third prompt information, the first feedback result, the information query model, and the medical record database, where the second feedback result at least includes the second identification information of the table fields in the medical record form corresponding to the first identification information and corresponding to the third prompt information. For the specific implementation manner, reference may be made to the description of this embodiment. Among them, the technical features that are the same as or similar to the foregoing embodiments will not be described in detail herein.

[0066] As Figure 3 shown, the method may specifically include:

[0067] S310. In response to a query request for a medical record form, determine first prompt information corresponding to the query request, where the first prompt information is used to describe the content related to the medical record form to be queried.

[0068] S320. Determine a first feedback result according to the information query model, the first prompt information, and the pre-constructed medical record database, where the medical record database includes multiple medical record forms, and the medical record forms are statistically obtained from multiple medical record data; the first feedback result at least includes the first identification information of the medical record form in the medical record database corresponding to the first prompt information.

[0069] S330. Obtain third prompt information, where the third prompt information is at least used to describe the table fields to be queried in the medical record form.

[0070] Among them, the third prompt information can be understood as the information of the specific fields to be queried in the medical record form. The third prompt information clarifies the specific information that wants to be obtained from the medical record form, such as a specific examination result, drug use record, etc. The table fields can be understood as the specific data items in the medical record form, such as the sampling information serial number or the original code of the test tube type.

[0071] S340. Determine a second feedback result according to the third prompt information, the first feedback result, the information query model, and the medical record database, where the second feedback result at least includes the second identification information of the table fields in the medical record form corresponding to the first identification information and corresponding to the third prompt information.

[0072] Among them, the second feedback result can be understood as a result generated based on the third prompt information, the first feedback result, the information query model, and the medical record database, and at least includes the second identification information related to the table fields in the third prompt information in the medical record table corresponding to the first identification information. The second identification information can be understood as information used to uniquely identify specific table fields in the medical record table, including but not limited to field names, field values, or other identifiers that can distinguish different fields, etc., and can be used to quickly locate specific information of interest in the medical record table, simplifying the management of a large amount of medical record data.

[0073] Based on the above solution, optionally, determining the second feedback result according to the third prompt information, the first feedback result, the information query model, and the medical record database includes: determining fourth prompt information according to the third prompt information and a preset second prompt template, and inputting the fourth prompt information and the first feedback result into the information query model, so that the information query model determines the second feedback result according to the fourth prompt information, the information query model, and the medical record table corresponding to the first feedback result. The second prompt template includes second context information and a second query description field; the second context information at least includes all field information in the medical record table corresponding to the first feedback result, and the field information at least includes the second identification information and the second identification interpretation of the table field. The second query description field is used to convert the second prompt information into a standardized field.

[0074] Among them, the second prompt template can be understood as a structured template, including a second standardized field and second context information, and is used to guide how to generate the fourth prompt information according to the third prompt information. The second prompt template provides a framework to standardize and optimize the query process, making the information query model more accurate and effective during querying, and better understanding and parsing the user's query requirements. The fourth prompt information can be understood as a more specific and structured query instruction generated based on the third prompt information and the second prompt template. By converting the query requirements into a standardized format, it is ensured that the information query model can accurately understand and process the requirements, thereby improving the query efficiency and accuracy. The second context information can be understood as at least including all field information in the medical record table corresponding to the first feedback result, and the field information at least includes the second identification information and the second identification interpretation, etc. The second context information can better understand the user's requirements when processing the query request and make a more accurate response. The second identification interpretation can be understood as an explanation or description of the meaning of the second identification information, helping to understand the field information in the specific medical record table represented by the identification. The second query description field can be understood as the part used to convert the third prompt information into a standardized field, so as to facilitate the information query model to understand and process.

[0075] Based on the above solution, optionally, determining the second context information includes: extracting the second identification information and the second identification interpretation of the medical record form corresponding to the first feedback result, and generating the second context information according to the second identification information and the second identification interpretation.

[0076] An optional implementation manner is that the second prompt template is shown in the following table.

[0077]

[0078] In an optional implementation manner, when determining the fourth prompt information according to the third prompt information and the preset second prompt template, it is possible to choose whether to add sample data.

[0079] By adopting this technical solution, the fourth prompt information is generated by using the third prompt information and the second prompt template, and in-depth query is carried out in combination with the specific medical record form field information in the first feedback result, which can significantly improve the accuracy and pertinence of medical data retrieval. Inputting the fourth prompt information and the first feedback result into the information query model not only makes the query process more intelligent and efficient, but also ensures that the most relevant medical record data can be obtained according to the specific needs of the user. Through the standardized processing of the second identification information and interpretation of the table fields, the convenience of data understanding and application is enhanced.

[0080] Based on the above solution, optionally, the second query description field includes a preset second fixed description field and a second replaceable field; determining the fourth prompt information according to the third prompt information and the preset second prompt template includes: extracting a second prompt word from the third prompt information, and using the second prompt word to replace the second replaceable field in the second query description field that matches its semantics to obtain the fourth prompt information. By adopting this technical solution, by extracting the second prompt word from the third prompt information to replace the second replaceable field in the second query description field, the fourth prompt information is made more accurate and personalized, which not only improves the accuracy of the query, but also better meets the specific query requirements and improves the information retrieval efficiency.

[0081] Among them, the second fixed description field can be understood as the descriptive part that is preset and does not change with the input in the query description field. The second fixed description field can provide a fixed framework or background information to help understand the overall context of the query. The second replaceable field can be understood as the part that changes dynamically according to the user's query content in the query description field. The second replaceable field can be the field to be filled in the query description field.

[0082] An optional implementation manner is that the fourth prompt information can be as shown in the following table.

[0083]

[0084] The technical solution of the embodiment of the present invention uses the third prompt information to describe the specific table fields to be queried, and determines the second feedback result based on the third prompt information in combination with the first feedback result, the information query model, and the medical record database, realizing the accurate retrieval of specific medical record table fields, not only improving the pertinence and accuracy of medical record data query, but also enabling medical staff to quickly obtain key medical information, thereby accelerating the diagnosis process and improving the treatment efficiency. In addition, by associating the second identification information with the table fields, the readability and usability of the data are enhanced, and the process of finding complex information is simplified.

[0085] Embodiment 4

[0086] Figure 4 is a schematic structural diagram of a query device for medical record information provided by Embodiment 4 of the present invention. As Figure 4 shown, the device includes: a first prompt information determination module 410 and a first feedback result determination module 420. Among them,

[0087] The first prompt information determination module 410 is configured to determine, in response to a query request for a medical record table, first prompt information corresponding to the query request, where the first prompt information is used to describe content related to the medical record table to be queried; the first feedback result determination module 420 is configured to determine a first feedback result according to an information query model, the first prompt information, and a pre-constructed medical record database, where the medical record database includes a plurality of medical record tables, and the medical record tables are obtained by statistically analyzing multiple medical record data; the first feedback result at least includes first identification information of the medical record table corresponding to the first prompt information in the medical record database.

[0088] In the technical solution of the embodiment of the present invention, the first prompt information determination module determines the first prompt information corresponding to the query request in response to the query request of the medical record form. Since the first prompt information is used to describe the content related to the medical record form to be queried, it can support flexible inquiries about the medical record form, adapt to different medical record form query requests, and expand the application scenarios of medical record form queries. Then, the first feedback result determination module determines the first feedback result according to the information query model, the first prompt information, and the pre-constructed medical record database. Since the medical record database includes multiple medical record forms, and the medical record forms are obtained by statistically analyzing multiple medical record data; the first feedback result at least includes the first identification information of the medical record form corresponding to the first prompt information in the medical record database, and can automatically generate feedback information of the queried medical record form through the information inquiry model, solving the problems of low efficiency and inaccurate query results in the related art relying on manual and keyword query methods, accurately and quickly obtaining relevant information from the medical record database, improving the query efficiency and accuracy, and reducing the time for medical staff to search for information.

[0089] On the basis of the above solution, optionally, the first feedback result determination module includes: a first feedback result determination sub-module. Among them, the first feedback result determination sub-module is used to determine the second prompt information according to the first prompt information and the preset first prompt template, and determine the first feedback result according to the second prompt information, the information query model, and the medical record database. The first prompt template includes first context information and a query description field; the first context information at least includes all medical record form information in the medical record database, and the medical record form information at least includes the first identification information and the first identification interpretation of the medical record form, and the query description field is used to convert the first prompt information into a standardized field.

[0090] On the basis of the above solution, optionally, the query description field includes a preset first fixed description field and a first replaceable field; the first feedback result determination sub-module includes: a second prompt information determination unit. Among them, the second prompt information determination unit is used to extract the first prompt word from the first prompt information, and use the first prompt word to replace the first replaceable field in the query description field that matches its semantics to obtain the second prompt information.

[0091] Based on the above solution, optionally, the query device for medical record information further includes: a third prompt information acquisition module and a second feedback result determination module. Among them, the third prompt information acquisition module is configured to acquire third prompt information after determining a first feedback result according to the information query model, the first prompt information, and a pre-established medical record database, where the third prompt information is at least used to describe the table fields to be queried in the medical record form; the second feedback result determination module is configured to determine a second feedback result according to the third prompt information, the first feedback result, the information query model, and the medical record database, where the second feedback result at least includes the second identification information of the table fields in the medical record form corresponding to the first identification information.

[0092] Based on the above solution, optionally, the second feedback result determination module includes: a second feedback result determination sub-module. Among them, the second feedback result determination sub-module is configured to determine fourth prompt information according to the third prompt information and a preset second prompt template, and input the fourth prompt information and the first feedback result into the information query model, so that the information query model determines a second feedback result according to the fourth prompt information, the information query model, and the medical record form corresponding to the first feedback result. The second prompt template includes second context information and second query description fields; the second context information at least includes all field information in the medical record form corresponding to the first feedback result, and the field information at least includes the second identification information and second identification interpretation of the table fields. The second query description field is used to convert the second prompt information into a standardized field.

[0093] Based on the above solution, optionally, the second query description field includes a preset second fixed description field and a second replaceable field; the second feedback result determination sub-module includes: a fourth prompt information determination unit. Among them, the fourth prompt information determination unit is configured to extract a second prompt word from the third prompt information, and use the second prompt word to replace the second replaceable field in the second query description field that matches its semantics to obtain the fourth prompt information.

[0094] Based on the above solution, optionally, the query device for medical record information further includes: a field information determination module and a medical record form determination module. Among them, the field information determination module is configured to, before determining the first feedback result according to the information query model, the first prompt information, and the pre-constructed medical record database, obtain a plurality of medical record data, and obtain field information related to the data statistical dimension from the medical record data according to a preset data statistical dimension; wherein, the data statistical dimension is associated with the content expected to be presented in the medical record form; the medical record form determination module is configured to fill the field information into a pre-established form template according to a preset format to obtain a medical record form, and generate first identification information corresponding to the medical record form according to a preset rule.

[0095] Based on the above solution, optionally, the query device for medical record information further includes: a right item authentication operation receiving module and a medical record form display module. Among them, the right item authentication operation receiving module is configured to, after determining the first feedback result according to the information query model, the first prompt information, and the pre-constructed medical record database, in response to a trigger operation on the first identification information, display a right item authentication page of the medical record form corresponding to the first identification information, and receive a right item authentication operation of a target object through the right item authentication page, wherein the right item authentication operation is used to verify whether the object to be verified has the access right to the medical record form; the medical record form display module is configured to display the medical record form corresponding to the first identification information when the target object has the access right.

[0096] The query device for medical record information provided by the embodiments of the present invention can execute the query method for medical record information provided by any embodiment of the present invention, and has corresponding function modules and beneficial effects for executing the method.

[0097] Embodiment Five

[0098] Figure 5 FIG. shows a schematic structural diagram of an electronic device 10 that can be used to implement the embodiments of the present invention. The electronic device is intended to represent various forms of digital computers, such as, a laptop computer, a desktop computer, a workbench, a personal digital assistant, a server, a blade server, a mainframe computer, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as, a personal digital processor, a cellular phone, a smart phone, a wearable device (such as a helmet, glasses, a watch, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0099] As Figure 5As shown, the electronic device 10 includes at least one processor 11 and a memory communicatively connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc. Among them, the memory stores a computer program executable by the at least one processor. The processor 11 can execute various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 into the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. The input / output (I / O) interface 15 is also connected to the bus 14.

[0100] Multiple components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disc, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0101] The processor 11 can be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the processor 11 include but are not limited to a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as a method for querying medical record information.

[0102] In particular, according to an embodiment of the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a non-transitory computer-readable medium, and the computer program contains program codes 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 unit 19, or installed from the storage unit 18, or installed from the ROM 12. When the computer program is executed by the processor 11, the above-mentioned functions defined in the method of the embodiment of the present invention are executed.

[0103] In some embodiments, a method for querying medical record information may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed onto the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method for querying medical record information described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the method for querying medical record information by any other suitable means (e.g., by means of firmware).

[0104] The various embodiments of the systems and techniques described above in this document may be implemented in digital electronic circuitry, integrated circuit systems, field-programmable gate arrays (FPGA), application-specific integrated circuits (ASIC), application-specific standard products (ASSP), systems-on-a-chip or system-on-chip (SOC), complex programmable logic devices (CPLD), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: implemented in one or more computer programs that may be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a special-purpose or general-purpose programmable processor, that may receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit the data and instructions to the storage system, the at least one input device, and the at least one output device.

[0105] The computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that the computer programs, when executed by the processor, cause the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The computer programs may be executed entirely on the machine, partially on the machine, as a stand-alone software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0106] In the context of the present invention, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer-readable storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium would include an electrical connection based on 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 disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0107] To provide for interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can also be used to provide for interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0108] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer having a graphical user interface or a web browser through which the user can interact with an implementation of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0109] A computing system may include a client and a server. The client and the server are generally far from each other and usually interact via a communication network. The relationship between the client and the server is created by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or a cloud host, which is a host product in the cloud computing service system, solving the defects of difficult management and weak business scalability existing in traditional physical hosts and VPS services.

[0110] It should be understood that various forms of the processes shown above can be used, with steps reordered, added, or deleted. For example, the steps recited in the present invention can be executed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved, and no limitation is made herein.

[0111] The above specific embodiments do not constitute a limitation on the protection scope of the present invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for querying medical record information, characterized in that, Including: In response to a query request for a medical record form, determining first prompt information corresponding to the query request, where the first prompt information is used to describe content related to the medical record form to be queried; Determining a first feedback result according to an information query model, the first prompt information, and a pre-constructed medical record database, where the medical record database includes multiple medical record forms, and the medical record forms are obtained by statistically analyzing multiple medical record data; the first feedback result at least includes first identification information of the medical record form corresponding to the first prompt information in the medical record database.

2. The method according to claim 1, characterized in that, The determining the first feedback result according to the information query model, the first prompt information, and the pre-constructed medical record database includes: Determining second prompt information according to the first prompt information and a preset first prompt template, and determining the first feedback result according to the second prompt information, the information query model, and the medical record database, where the first prompt template includes first context information and a query description field; the first context information at least includes all medical record form information in the medical record database, and the medical record form information at least includes first identification information and a first identification interpretation of the medical record form, and the query description field is used to convert the first prompt information into a standardized field.

3. The method according to claim 2, wherein The query description field includes a preset first fixed description field and a first replaceable field; the determining the second prompt information according to the first prompt information and the preset first prompt template includes: Extracting a first prompt word from the first prompt information, and using the first prompt word to replace the first replaceable field in the query description field that matches its semantics to obtain the second prompt information.

4. The method according to claim 1, characterized in that, After determining the first feedback result according to the information query model, the first prompt information, and the pre-established medical record database, it further includes: Obtaining third prompt information, where the third prompt information is at least used to describe table fields to be queried in the medical record form; Determining a second feedback result according to the third prompt information, the first feedback result, the information query model, and the medical record database, where the second feedback result at least includes second identification information of the table fields in the medical record form corresponding to the first identification information and corresponding to the third prompt information.

5. The method according to claim 4, characterized in that The determining the second feedback result according to the third prompt information, the first feedback result, the information query model, and the medical record database includes: Determining fourth prompt information according to the third prompt information and a preset second prompt template, and inputting the fourth prompt information and the first feedback result into the information query model, so that the information query model determines the second feedback result according to the fourth prompt information, the information query model, and the medical record form corresponding to the first feedback result. The second prompt template includes second context information and a second query description field; the second context information at least includes all field information in the medical record form corresponding to the first feedback result, and the field information at least includes second identification information and a second identification interpretation of the table field, and the second query description field is used to convert the second prompt information into a standardized field.

6. The method according to claim 5, wherein The second query description field includes a preset second fixed description field and a second replaceable field; the determining of the fourth prompt information according to the third prompt information and a preset second prompt template includes: Extracting a second prompt word from the third prompt information, and using the second prompt word to replace the second replaceable field in the second query description field that matches its semantics, to obtain the fourth prompt information.

7. The method according to claim 1, characterized in that, Before determining the first feedback result according to the information query model, the first prompt information, and a pre-constructed medical record database, it further includes: Obtaining a plurality of medical record data, and obtaining field information related to the data statistical dimension from the medical record data according to a preset data statistical dimension; wherein, the data statistical dimension is associated with the content expected to be presented in the medical record table. Filling the field information into a pre-established table template according to a preset format to obtain a medical record table, and generating first identification information corresponding to the medical record table according to a preset rule.

8. The method according to claim 1, wherein After determining the first feedback result according to the information query model, the first prompt information, and a pre-constructed medical record database, it further includes: In response to a trigger operation on the first identification information, displaying an authority authentication page of the medical record table corresponding to the first identification information, and receiving an authority item authentication operation of a target object through the authority authentication page, wherein the authority item authentication operation is used to verify whether the object to be verified has the access right to the medical record table. When the target object has the access right, displaying the medical record table corresponding to the first identification information.

9. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and when the computer program is executed by the at least one processor, the at least one processor can execute the query method for medical record information according to any one of claims 1-8.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions, and when the computer instructions are executed by a processor, the query method for medical record information according to any one of claims 1-8 is implemented.

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