LU506048B1 - Method for storing electronic medical record - Google Patents
Method for storing electronic medical record Download PDFInfo
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- LU506048B1 LU506048B1 LU506048A LU506048A LU506048B1 LU 506048 B1 LU506048 B1 LU 506048B1 LU 506048 A LU506048 A LU 506048A LU 506048 A LU506048 A LU 506048A LU 506048 B1 LU506048 B1 LU 506048B1
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- electronic medical
- medical record
- correlation index
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- 238000000034 method Methods 0.000 title claims abstract description 26
- 230000005540 biological transmission Effects 0.000 claims description 9
- 230000009286 beneficial effect Effects 0.000 description 4
- 208000017667 Chronic Disease Diseases 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000003190 augmentative effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/31—Indexing; Data structures therefor; Storage structures
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/335—Filtering based on additional data, e.g. user or group profiles
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- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
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Abstract
The present invention discloses a method for storing an electronic medical record, relating to the technical field of electronic medical records. The method includes the following steps: obtaining a total number of consultation questions, a consultation content word number of each of the consultation questions, a keyword number of each of the consultation questions; generating a current correlation index of the electronic medical record according to the total number, the consultation content word number, the keyword number, a preset correlation index generation model; determining whether a current correlation index is greater than a preset correlation index while determining whether a current time is within a valid time and whether a file format is a preset extensible markup language format; and if the current correlation index is greater than the preset correlation index, the current time is within the valid time and the file format is the extensible markup language format.
Description
1 LU506048
METHOD FOR STORING ELECTRONIC MEDICAL RECORD
[0001] The present invention relates to the technical field of electronic medical records, particularly to a method for storing an electronic medical record.
[0002] With the rapid development of the mobile Internet, electronic medical records are becoming more and more popular. In daily life, electronic medical records can transform original paper data into online paperless data without the inconvenience of traditional medical records.
[0003] However, existing electronic devices cannot store the electronic medical records on corresponding service platforms according to current correlation indexes of the electronic medical records, which is not conducive to improving the efficiency of storing the electronic medical records. The reason for this is that many service platforms exist, such that if the electronic medical records are stored manually on different service platforms, the workload will be huge, and the storage time will be long, consuming human resources, equipment resources and time resources.
Therefore, the existing electronic devices cannot store the electronic medical records on the corresponding service platforms according to the current correlation indexes of the electronic medical records, which is not conducive to improving the efficiency of storing the electronic medical records.
2 LU506048
[0004] Embodiments of the present invention provide a method for storing an electronic medical record, to solve the technical problem that an existing electronic device cannot store the electronic medical record on a corresponding service platform according to a current correlation index of the electronic medical record, which is not conducive to improving the efficiency of storing the electronic medical record.
[0005] In a first aspect, an embodiment of the present invention provides a method for storing an electronic medical record, which is applied to electronic devices and includes the following steps:
[0006] receiving a storage request uploaded by a user terminal, wherein the storage request carries a to-be-stored electronic medical record, a valid time of the electronic medical record and a file format of the electronic medical record;
[0007] obtaining a content text of the electronic medical record and inputting the electronic medical record into a preset content text recognition model;
[0008] obtaining a text recognition result output from the text recognition model based on the electronic medical record, and obtaining consultation questions of the electronic medical record from the text recognition result;
[0009] obtaining a total number of the consultation questions, a consultation content word number of each of the consultation questions and a keyword number of each of the consultation questions, wherein the consultation content word number is a number of words of a consultation content and the keyword number is a number of keywords;
[0010] generating a current correlation index of the electronic medical record according to the total number, the consultation content word number, the keyword number and a preset correlation index generation model, wherein the total number is a number of the consultation questions, the consultation content word number is a number of words of the consultation content, and the keyword number is a number of keywords;
3 LU506048
[0011] determining whether the current correlation index is greater than a preset correlation index while determining whether a current time is within the valid time and determining whether the file format is a preset extensible markup language format; and
[0012] if the current correlation index is greater than the preset correlation index, the current time is within the valid time and the file format is the extensible markup language format, storing the to-be-stored data in a service platform corresponding to the preset correlation index according to a preestablished correspondence relationship between the preset correlation index and the service platform.
[0013] In a possible implementation of the first aspect, the receiving the storage request uploaded by the user terminal includes the following steps:
[0014] receiving a connection request transmitted from the user terminal by a preset network, wherein the connection request is configured to request a connection with the electronic device to be established:
[0015] detecting whether a current identification of the user terminal is a target identification; and
[0016] if the current identification of the user terminal is the target identification, performing a connection to the user terminal according to the connection request, and after the connection is completed, receiving the storage request uploaded by the user terminal.
[0017] In a possible implementation of the first aspect, the obtaining the content text of the electronic medical record and inputting the electronic medical record into the preset content text recognition model includes the following steps:
[0018] obtaining a plurality of text recognition models and sorting scores of the plurality of text recognition models in a descending order; and
[0019] obtaining the content text of the electronic medical record and inputting the electronic medical record into the text recognition model ranked first.
4 LU506048
[0020] In a possible implementation of the first aspect, the if the current correlation index is greater than the preset correlation index, the current time is within the valid time and the file format is the extensible markup language format, storing the to-be- stored data in the service platform corresponding to the preset correlation index according to the preestablished correspondence relationship between the preset correlation index and the service platform includes the following steps:
[0021] if the current correlation index is greater than the preset correlation index, the current time is within the valid time and the data format is the preset format, obtaining the service platform corresponding to the preset correlation index according to the pre-established correspondence relationship between the preset correlation index and the service platform; and
[0022] storing the to-be-stored data in the service platform corresponding to the preset correlation index by a preset storage engine.
[0023] In a possible implementation of the first aspect, after the if the current correlation index is greater than the preset correlation index, the current time is within the valid time and the file format is the extensible markup language format, storing the to-be-stored data in the service platform corresponding to the preset correlation index according to the preestablished correspondence relationship between the preset correlation index and the service platform, the method for storing the electronic medical record further includes the following steps:
[0024] reading a preset transmission time;
[0025] determining whether the current time is the transmission time; and
[0026] if the current time is the transmission time, transmitting a reminder message corresponding to the electronic medical record to the user terminal.
[0027] In a possible implementation of the first aspect, the valid time is 10 hours or hours.
[0028] An embodiment of the present invention provides a method for storing an electronic medical record, including:
[0029] receiving a storage request uploaded by a user terminal, wherein the storage request carries a to-be-stored electronic medical record, a valid time of the electronic medical record and a file format of the electronic medical record;
[0030] obtaining a content text of the electronic medical record and inputting the electronic medical record into a preset content text recognition model;
[0031] obtaining a text recognition result output from the text recognition model based on the electronic medical record, and obtaining consultation questions of the electronic medical record from the text recognition result;
[0032] obtaining a total number of the consultation questions, a consultation content word number of each of the consultation questions and a keyword number of each of the consultation questions, wherein the consultation content word number is a number of words of a consultation content and the keyword number is a number of keywords;
[0033] generating a current correlation index of the electronic medical record according to the total number, the consultation content word number, the keyword number and a preset correlation index generation model, wherein the total number is a number of the consultation questions, the consultation content word number is a number of words of the consultation content, and the keyword number is a number of keywords;
[0034] determining whether the current correlation index is greater than a preset correlation index while determining whether a current time is within the valid time and determining whether the file format is a preset extensible markup language format; and
[0035] if the current correlation index is greater than the preset correlation index, the current time is within the valid time and the file format is the extensible markup language format, storing the to-be-stored data in a service platform corresponding to the preset correlation index according to a preestablished correspondence relationship between the preset correlation index and the service platform.
[0036] The embodiments of the present invention have the beneficial effects in two aspects.
6 LU506048
[0037] 1) If the current correlation index is greater than the preset correlation index, the current time is within the valid time and the file format is the extensible markup language format, the to-be-stored data will be stored in the service platform corresponding to the preset correlation index according to the preestablished correspondence relationship between the preset correlation index and the service platform. Therefore, the electronic device can store the electronic medical record in the corresponding service platform according to the current correlation index of the electronic medical record, which is conductive to improving the efficiency of storing the electronic medical record.
[0038] 2) The service platform can directly process the electronic medical record without the need to search for the electronic medical record. In this way, the time in searching for the electronic medical record is saved. As a result, the efficiency of processing the electronic medical record is improved.
[0039] In order to more clearly illustrate the technical solutions in embodiments of the present invention, accompanying drawings required to be used in the description of the embodiments will be briefly introduced. It is apparent that the accompanying drawings in the following description are only some of the embodiments of the present invention. For those skilled in the art, other accompanying drawings can be obtained according to these accompanying drawings without any creative labor.
[0040] FIG. 1 is a flowchart of a method for storing an electronic medical record according to an embodiment of the present invention;
[0041] FIG. 2 is a flowchart of displaying indication information according to an embodiment of the present invention;
[0042] FIG. 3 is a flowchart of inputting an electronic medical record according to an embodiment of the present invention; and
[0043] FIG. 4 is an application scenario diagram of the method for storing an electronic medical record according to an embodiment of the present invention.
7 LU506048
[0044] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further illustrated in detail in conjunction with accompanying drawings and embodiments. It should be understood that specific embodiments described herein are only intended to explain the present invention and are not intended to limit the present invention.
Based on the embodiments in the present invention, all other embodiments obtained by those ordinarily skilled in the art without any creative labor fall within the scope of protection of the present invention.
[0045] Reference is made to FIG. 1, which is a flowchart of a method for storing an electronic medical record ccording to an embodiment of the present invention. The method may be applied to an electronic device. The electronic device may be any one of a mobile phone, a camera, a tablet, a wearable electronic device, a vehicle- mounted electronic device, an augmented reality (AR)/virtual reality (VR) electronic device, a laptop, a personal computer (PC), a netbook, or a personal digital assistant (PDA), without any restrictions in the embodiments of the present invention.
[0046] As shown in FIG. 1, the method for storing the electronic medical record according to the embodiment of the present invention includes the following steps, as detailed below.
[0047] In S101, a storage request uploaded by a user terminal is received, wherein the storage request carries a to-be-stored electronic medical record, a valid time of the electronic medical record and a file format of the electronic medical record.
[0048] The valid time is user-defined or system-default, for instance, the valid time is hours or 20 hours.
[0049] In $102, a content text of the electronic medical record is obtained, and the electronic medical record is input into a preset content text recognition model.
[0050] The content text recognition model is user-defined or system-default, without any restrictions here.
[0051] It should be noted that a plurality of manners may be employed to obtain the content text recognition model.
8 LU506048
[0052] For example, the content text recognition model is obtained from an open- source database in a manner of connecting to the open-source database, the content text of the electronic medical record is obtained, and the electronic medical record is input into a preset content text recognition model.
[0053] For example, the content text recognition model is obtained from a local database in a manner of connecting to the local database, the content text of the electronic medical record is obtained, and the electronic medical record is input into the preset content text recognition model.
[0054] In S103, a text recognition result output by the text recognition model based on the electronic medical record is obtained, and consultation questions of the electronic medical record are obtained from the text recognition result.
[0055] In S104, a total number of the consultation questions, a consultation content word number of each of the consultation questions and a keyword number of each of the consultation questions are obtained, wherein the consultation content word number is a number of words of a consultation content, and the keyword number is a number of keywords.
[0056] In S105, a current correlation index of the electronic medical record is generated according to the total number, the consultation content word number, the keyword number and a preset correlation index generation model, wherein the total number is a number of the consultation questions, the consultation content word number is a number of words of a consultation content, and the keyword number is a number of keywords.
[0057] It should be noted that the correlation index generation model is described as below:
M
1
P= 2m
[0058] =1
[0059] P is the current correlation index, and M; is the consultation content word number of i consultation questions, M is the total number, Di is the keyword number of the i" consultation question, and the correlation index generation model is the current correlation index generation model.
9 LU506048
[0060] The larger the current correlation index is, the greater the correlation between the electronic medical record and the keywords is.
[0061] The keywords are user-defined or system-default, for instance, the keywords are set to names of chronic diseases.
[0062] One consultation question includes a consultation content, and the consultation content includes one or more keywords.
[0063] Mis the total number, that is, a number of the consultation questions.
[0064] For instance, the electronic medical record includes 2 consultation questions, and M is 2.
[0065] For instance, the electronic medical record includes 3 consultation questions, and M is 3.
[0066] For instance, the electronic medical record includes 6 consultation questions, and M is 6.
[0067] The electronic medical record includes a plurality of consultation questions.
For ease of illustration, two consultation questions will be taken as an example, as follows.
[0068] For instance, the consultation content word number of the first consultation question is 100, the keyword number of the first consultation question is 10, and a ratio of the keyword number of the first consultation question to the consultation content word number of the first consultation question is 0.1.
[0069] For instance, the consultation content word number of the second consultation question is 60, the keyword number of the second consultation question is 30, and a ratio of the keyword number of the second consultation question to the consultation content word number of the second consultation question is 0.5.
[0070] When the electronic medical record includes 2 consultation questions, adding 0.1 and 0.5 yields a current correlation index of 0.6 of the electronic medical record.
[0071] In S106, it is determined whether the current correlation index is greater than the preset correlation index, whether the current time is within the valid time and whether the file format is the preset extensible markup language format.
[0072] The extensible markup language format is an XML (Extensible Markup
Language) format. XML is a markup language used to mark an electronic file to make it structured.
[0073] In S107, if the current correlation index is greater than the preset correlation index, the current time is within the valid time and the file format is the extensible markup language format, the to-be-stored data will be stored in the service platform corresponding to the preset correlation index according to the preestablished correspondence relationship between the preset correlation index and the service platform.
[0074] The preset correlation index is user-defined or system-default, and the valid time is user-defined or system-default. For ease of illustration, an example is given as follows.
[0075] The preset correlation index is set to 0.5, and the valid time is set to 10 hours.
If the current correlation index is greater than 0.5, the current time is within 10 hours and the file format is the extensible markup language format, the to-be-stored data will be stored in the service platform corresponding to the preset correlation index according to the preestablished correspondence relationship between the preset correlation index and the service platform.
[0076] The preset correlation index is set to 0.6, and the valid time is set to 30 hours.
If the current correlation index is greater than 0.6, the current time is within 30 hours and the file format is the extensible markup language format, the to-be-stored data will be stored in the service platform corresponding to the preset correlation index according to the preestablished correspondence relationship between the preset correlation index and the service platform.
[0077] The preset correlation index is set to 0.7, and the valid time is set to 60 hours.
If the current correlation index is greater than 0.7, the current time is within 60 hours and the file format is the extensible markup language format, the to-be-stored data will be stored in the service platform corresponding to the preset correlation index according to the preestablished correspondence relationship between the preset correlation index and the service platform.
11 LU506048
[0078] The S107 includes the following steps:
[0079] if the current correlation index is greater than the preset correlation index, the current time is within the valid time and the data format is the preset format, the service platform corresponding to the preset correlation index is obtained according to the preestablished correspondence relationship between the preset correlation index and the service platform; and
[0080] the to-be-stored data is stored in the service platform corresponding to the preset correlation index by a preset storage engine.
[0081] After the S107, the method for storing the electronic medical record further includes the following steps:
[0082] a preset transmission time is read; and
[0083] itis determined whether the current time is the transmission time; and
[0084] if the current time is the transmission time, a reminder message corresponding to the electronic medical record is transmitted to the user terminal.
[0085] The embodiments of the present invention have the beneficial effects in two aspects.
[0086] 1) If the current correlation index is greater than the preset correlation index, the current time is within the valid time and the file format is the extensible markup language format, the to-be-stored data will be stored in the service platform corresponding to the preset correlation index according to the preestablished correspondence relationship between the preset correlation index and the service platform. Therefore, the electronic device can store the electronic medical record in the corresponding service platform according to the current correlation index of the electronic medical record, which is conductive to improving the efficiency of storing the electronic medical record.
[0087] 2) The service platform can directly process the electronic medical record without the need to search for the electronic medical record. In this way, the time in searching for the electronic medical record is saved. As a result, the efficiency of processing the electronic medical record is improved.
12 LU506048
[0088] Reference is made to FIG. 2, which is a flowchart of displaying indication information according to an embodiment of the present invention, as detailed below.
[0089] In S201, a connection request transmitted from a user terminal is received through a preset network, wherein the connection request is configured to request a connection with an electronic device to be established.
[0090] The preset network includes one or a combination of a 3G network, a 4G network, a 5G network or a WIFI network.
[0091] In S202, it is detected whether a current identification of the user terminal is a target identification.
[0092] In S203, if the current identification of the user terminal is the target identification, a connection to the user terminal is made according to the connection request, and after the connection is completed, the storage request uploaded by the user terminal is received.
[0093] In the embodiment of the present invention, detecting whether the current identification of the user terminal is the target identification is beneficial for quickly determining a permission of a user.
[0094] Reference is made to FIG. 3, which is a flowchart of inputting an electronic medical record according to an embodiment of the present invention, as detailed below:
[0095] In S301, a plurality of text recognition models are obtained, and scores of the plurality of text recognition models are sorted in a descending order.
[0096] In S302, the content text of the electronic medical record is obtained, and the electronic medical record is input into the text recognition model ranked first.
[0097] In the embodiment of the present invention, inputting the electronic medical record into the text recognition model ranked first is beneficial for improving the efficiency of recognizing the electronic medical record.
[0098] Reference is made to FIG. 4, which is an application scenario diagram of a method for storing an electronic medical record according to an embodiment of the present invention, as detailed below:
13 LU506048
[0099] A communication between an electronic device and a plurality of service platforms is established by a network, wherein the plurality of service platforms include a service platform A, a service platform B, a service platform C and a service platform D.
[0100] The service platform is a platform for managing the electronic medical record.
[0101] The electronic medical record includes a medical record of a chronic disease.
[0102] The above is only a preferred embodiment of the present invention, and is not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process changes made utilizing contents of the detailed description and the accompanying drawings of the present invention or direct or indirect applications of them in other related technical fields are all similarly included in the scope of patent protection of the present invention.
Claims (7)
1. A method for storing an electronic medical record, which is applied to an electronic device and comprises the following steps: receiving a storage request uploaded by a user terminal, wherein the storage request carries a to-be-stored electronic medical record, a valid time of the electronic medical record and a file format of the electronic medical record; obtaining a content text of the electronic medical record and inputting the electronic medical record into a preset content text recognition model; obtaining a text recognition result output from the text recognition model based on the electronic medical record, and obtaining consultation questions of the electronic medical record from the text recognition result; obtaining a total number of the consultation questions, a consultation content word number of each of the consultation questions and a keyword number of each of the consultation questions, wherein the consultation content word number is a number of words of a consultation content and the keyword number is a number of keywords; generating a current correlation index of the electronic medical record according to the total number, the consultation content word number, the keyword number and a preset correlation index generation model, wherein the total number is a number of the consultation questions, the consultation content word number is a number of words of the consultation content, and the keyword number is a number of keywords; determining whether the current correlation index is greater than a preset correlation index while determining whether a current time is within the valid time and determining whether the file format is a preset extensible markup language format; and if the current correlation index is greater than the preset correlation index, the current time is within the valid time and the file format is the extensible markup language format, storing the to-be-stored data in a service platform corresponding to the preset correlation index according to a preestablished correspondence relationship between the preset correlation index and the service platform.
2. The method for storing an electronic medical record of claim 1, wherein the receiving the storage request uploaded by the user terminal comprises the following steps: receiving a connection request transmitted from the user terminal by a preset network, wherein the connection request is configured to request a connection with the electronic device to be established; detecting whether a current identification of the user terminal is a target identification; and if the current identification of the user terminal is the target identification, performing a connection to the user terminal according to the connection request, and after the connection is completed, receiving the storage request uploaded by the user terminal.
3. The method for storing an electronic medical record of claim 1, wherein the obtaining the content text of the electronic medical record and inputting the electronic medical record into the preset content text recognition model comprises the following steps: obtaining a plurality of text recognition models and sorting scores of the plurality of text recognition models in a descending order; and obtaining the content text of the electronic medical record and inputting the electronic medical record into the text recognition model ranked first.
4. The method for storing an electronic medical record of claim 1, wherein the if the current correlation index is greater than the preset correlation index, the current time is within the valid time and the file format is the extensible markup language format, storing the to-be- stored data in the service platform corresponding to the preset correlation index according to the preestablished correspondence relationship between the preset correlation index and the service platform comprises the following steps: if the current correlation index is greater than the preset correlation index, the current time is within the valid time and the data format is the preset format, obtaining the service platform corresponding to the preset correlation index according to the pre-established
16 LU506048 correspondence relationship between the preset correlation index and the service platform; and storing the to-be-stored data in the service platform corresponding to the preset correlation index by a preset storage engine.
5. The method for storing an electronic medical record of claim 1, wherein after the if the current correlation index is greater than the preset correlation index, the current time is within the valid time and the file format is the extensible markup language format, storing the to-be-stored data in the service platform corresponding to the preset correlation index according to the preestablished correspondence relationship between the preset correlation index and the service platform, further comprising the following steps: reading a preset transmission time; determining whether the current time is the transmission time; and if the current time is the transmission time, transmitting a reminder message corresponding to the electronic medical record to the user terminal.
6. The method for storing an electronic medical record of claim 2, wherein the preset network comprises one or a combination of a 3G network, a 4G network, a 5G network or a WIFI network.
7. The method for storing an electronic medical record according to any one of claims 1 to 6, wherein the valid time is 10 hours or 20 hours.
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| CN202311739312.XA CN117708264A (en) | 2023-12-18 | 2023-12-18 | Electronic medical record storage method and device, electronic equipment and storage medium |
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| CN118098476B (en) * | 2024-04-28 | 2024-07-23 | 山东新时代药业有限公司 | Electronic medical record qualification degree evaluation method and system based on big data |
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