CN116825265A - Treatment record processing method and device, electronic equipment and storage medium - Google Patents

Abstract

This application discloses a medical treatment record processing method, device, electronic equipment and computer-readable storage medium. The medical treatment record processing method includes: when it is detected in the patient information database that the target patient is bound to multiple patient information, determine Target patient information, the target patient information is one patient information among multiple patient information; based on the data associated with the target patient information, search for patient information that matches the target patient information in the patient information database , the associated data includes data in the target patient information that can be used for fuzzy search; merge the matched patient information into the target patient information to process the target patient's treatment records and match the patient information based on the merged patient information. The patient's medical treatment record corresponding to the patient's information. It can improve the efficiency of creating medical records, and while improving the efficiency of searching patient information, it ensures a larger search range and makes the search results more accurate.

Description

Medical treatment record processing method, device, electronic equipment and storage medium

Technical field

The present application relates to the field of data processing, and in particular to a medical treatment record processing method, device, electronic equipment and computer-readable storage medium.

Background technique

When a patient visits a dental clinic and the clinic medical staff creates a dental order for the patient, the dental order needs to contain the patient's information, and the medical staff needs to enter the patient's information into the dental software system.

For the same patient, when creating a dental order for the patient, if the patient's information does not exist in the dental software system, the medical staff needs to first enter the patient's information into the dental software system. If the patient's information has been entered into the department's software system, you can directly search for the patient's information and select it for use. However, medical staff may not use the entered patient information due to operational errors and other reasons, and repeatedly enter the same patient's information into the dental software system. In the subsequent process of creating a dental order, the patient's information will be searched. When entering patient information, there may be multiple duplicate patient information for the same patient, which brings inconvenience in data selection and editing and reduces the efficiency of order creation.

Contents of the invention

In response to the above technical problems, this application provides a medical treatment record processing method, device, electronic equipment and computer-readable storage medium. The technical solution is as follows:

According to the first aspect of this application, a method for processing medical treatment records is provided, which method includes:

When it is detected in the patient information database that the target patient is bound to multiple pieces of patient information, determine the target patient information, and the target patient information is one piece of patient information among the multiple pieces of patient information;

Based on the data associated with the target patient information, the patient information matching the target patient information is searched for in the patient information database, and the associated data includes the target patient information that can be used for Fuzzy search data;

The matched patient information is merged with the target patient information to process the target patient's medical treatment record and the patient's medical treatment record corresponding to the matched patient information according to the merged patient information.

According to the second aspect of the present application, a medical treatment record processing device is provided, which device includes:

A determining unit, configured to determine the target patient information when it is detected in the patient information database that the target patient is bound to multiple pieces of patient information, and the target patient information is one of the multiple pieces of patient information. Patient information;

A search unit configured to search for patient information matching the target patient information in the patient information database based on data associated with the target patient information, where the associated data includes the target patient information. Data in the information that can be used for fuzzy search;

A merging unit configured to merge the matched patient information into the target patient information, so as to process the treatment records of the target patient and the medical treatment corresponding to the matched patient information according to the merged patient information. patient’s medical records.

According to a third aspect of the present application, an electronic device is provided, which includes:

processor;

Memory used to store instructions executable by the processor;

Wherein, the processor is configured to implement the method described in the first aspect.

According to a fourth aspect of the present application, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the steps in the method described in the first aspect are implemented.

The technical solution provided by this application is that when there are multiple duplicate patient information for a target patient in the patient information database, one piece of target patient information is determined among them, and the patient who matches the target patient information is The information is merged under the target patient information, so that only the target patient's medical treatment record and the patient's medical treatment record corresponding to the matched patient information can be created or edited based on the merged patient information, thereby improving It improves the efficiency of creating medical records. At the same time, when searching for patient information that matches the target patient information in the patient information database, fuzzy search can be performed in the patient information database based on the data in the target patient information that can be used for fuzzy search. Matching improves search efficiency while ensuring a larger search range and making search results more accurate.

It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and do not limit the present application.

Description of the drawings

In order to more clearly explain the technical solutions in the embodiments of the present application or related technologies, the drawings needed to be used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the drawings in the following description are only for the purpose of describing the embodiments or related technologies. For some of the embodiments described in the application, those of ordinary skill in the art can also obtain other drawings based on these drawings.

Figure 1 is a schematic diagram of a patient visit record processing scenario in related technology;

Figure 2 is a schematic flow chart of a medical treatment record processing method in this application;

Figure 3 is a schematic diagram of a patient visit record processing scenario according to one embodiment of the present application;

Figure 4 is a schematic structural diagram of a medical treatment record processing device according to an embodiment of the present application;

Figure 5 is a schematic structural diagram of an electronic device according to an embodiment of this specification.

Detailed ways

In order to enable those skilled in the art to better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be described in detail below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only These are part of the embodiments of this application, but not all of them. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art should fall within the protection scope of this application.

Please refer to Figure 1. First, a patient visit record processing scenario in related technologies is introduced. Taking the dental scene as an example, and taking the patient's visit record as the patient's order as an example, the patient is in a dental clinic or hospital. When a doctor visits a patient, when the clinic medical staff creates a dental order for the patient, the dental order needs to contain the patient's information. The medical staff needs to enter the patient's information in the dental software system. The entered patient information belongs to the dental office. In a dental clinic or hospital, different medical staff under the same clinic or hospital may share patient information that has been entered into the dental software system when creating orders for patients.

For the same patient, when creating a dental order for the patient, if the patient's information does not exist in the dental software system, the medical staff needs to first enter the patient's information into the dental software system. If the patient's information has been entered into the department's software system, you can directly search for the patient's information and select it for use. However, medical staff may not use the entered patient information due to operational errors and other reasons, and repeatedly enter the same patient's information into the dental software system; At this time, only the name, contact information and other information of the patient are entered. The name, contact information and other information can be changed by the same patient. However, for the sake of protecting privacy, it is often not possible to enter the ID number and other information that can uniquely identify the same patient. The patient's private data, so the entered patient information is not unique. As a result, the dental software system cannot determine whether the patient information entered multiple times for the same patient actually belongs to the same patient. It can only be regarded as The information of different patients is recorded. In the subsequent process of creating a dental order, when searching for the entered patient information, there may be multiple duplicate patient information for the same patient, causing inconvenience in data selection and editing, and reducing the efficiency of creating medical records.

Take Figure 1 as an example to introduce the above scenario:

Suppose there is a patient B. If the information of patient B does not exist in the dental software system, the medical staff who treat patient B need to first enter the patient information of patient B into the dental software system. For example, for Medical staff 1, if patient B is seeing a doctor for the first time in the clinic where medical staff 1 is, then the information of patient B may not exist in the dental software, so medical staff 1 needs to first see patient B. Enter the information of patient B (patient B information 1); assuming there is a patient A, if the patient information of patient A has been entered in the dental software system, for example, the three pieces of patient information in Figure 1: Visit Patient A information 1, patient A information 2, and patient A information 3. For medical staff 2, if you need to create a dental order for patient A when seeing patient A, you can create a dental order for patient A in the dental software system Directly search for any piece of information about patient A and select it for use. However, medical staff 1 may fail due to operational errors (for example, failure to search, or medical staff 1 mistakenly believes that patient A is the first time to see a doctor in this clinic) and other reasons. The entered patient information (Patient A information 1, Patient A information 2, and Patient A information 3) was not used, but Patient A's information (Patient A information 4) was repeatedly entered into the dental software system. , the same applies to another medical staff 3, if medical staff 3 does not use the entered patient information (patient A information 1, patient A) due to similar operational errors in the next visit to patient A. A information 2, patient A information 3, patient A information 4), it is possible to repeatedly enter patient A’s information (patient A information 5) into the dental software system. In this way, in the subsequent follow-up for patient A During the consultation process, when other medical staff were creating a dental order for Patient A, they searched for the patient information that Patient A had entered (Patient A Information 1, Patient A Information 2, Patient A Information 3, Patient A information 4, Patient A information 5), there may be multiple duplicate patient information of Patient A, which brings inconvenience in data selection and editing, and reduces the efficiency of order creation.

It is worth noting that the above introduction to patient treatment record processing scenarios is only an exemplary display. In actual applications, other treatment record processing scenarios are not excluded and are not specifically limited.

For example: the patient can be a medical examiner, a matcher, a patient, or a patient; the medical staff can be a doctor, a nurse, a medical examiner, a health care worker, or a convalescent person; the treatment record processing scenario can be a hospital (clinic), a physical examination center, or a health center , nursing home or hospital (clinic) dental laboratory (laboratory) and other scenes.

In response to the above problems, this application provides a method for processing medical records, which can improve the efficiency of creating medical records, improve the efficiency of patient information search while ensuring a larger search range, and making the search results more accurate. As shown in Figure 2, the method includes the following steps:

S201. When it is detected in the patient information database that the target patient is bound to multiple pieces of patient information, determine the target patient information, and the target patient information is one piece of patient information among the multiple pieces of patient information. ;

The patient information database can have multiple specific implementations. As an example, one of the implementation methods can include: the patient information database can be a pre-built database that can be used to store patient information.

As an example, taking the dental scene as an example, the patient information database can be a database belonging to the dental software system, and the database can be a local database or a cloud database.

It should be noted that the multiple pieces of patient information bound to the target patient can be multiple pieces of patient information that are pre-entered into the above-mentioned patient information database, or they can be multiple pieces of patient information that are only entered into the above-mentioned patient information database during the detection process. Regarding patient information, there is no specific limit on the entry time of multiple patient information.

As an example, the target patient information can be determined based on the patient information selected by the user among the multiple patient information. For example, the medical staff clicks on one of the multiple patient information bound to the target patient. If a piece of patient information is provided, the clicked patient information can be determined as the above target patient information.

It is worth noting that the above description of the method of determining target patient information is only an exemplary display. In practical applications, other determination methods are not excluded. For example, each patient can be determined among the multiple pieces of patient information mentioned above. The amount of information contained in the information is determined, and the patient information with the largest amount of information is determined as the target patient information. Therefore, there is no specific limit on the method of determining the target patient information.

S202. Based on the data associated with the target patient information, search for patient information that matches the target patient information in the patient information database. The associated data includes the information that can be found in the target patient information. Data used for fuzzy search;

As an example, taking the oral scanning scenario as an example, the data that can be used for fuzzy search in the target patient information may include the dental model data of the target patient, and the target patient may be the same patient who is bound to multiple patient information. By. For different patients, if the similarity of the patient information between multiple actually different patients is very high, for example, the name, gender, contact information, birthday or past medical history of different patients are consistent, based on It is difficult to judge whether the corresponding patients are different patients from this patient information. At this time, the dental model data associated with the patient information can be used to determine. Even if the patient information between two different patients is highly overlapped, on the dental model data There will also be differences. Dental model data can uniquely identify patients. In the oral scanning scenario, fuzzy search matching can be performed using the dental model data obtained from oral scanning to further improve search accuracy.

As an example, the above tooth model data may be collected from the patient's oral cavity using an oral scanner. As a second example, the above tooth model data may be collected from the patient's oral cavity using an oral scanner with an infrared light function. When scanning the teeth in the oral cavity, the visible light (such as laser or white light) emitted by the oral scanner can obtain the external information of the teeth (such as the shape, color and other information of the teeth) to reconstruct a three-dimensional model of the teeth. Based on the visible light, it has Oral scanners with infrared light function can also emit infrared light. Through infrared light, internal information of teeth (such as dental caries and other information) can be obtained. Based on the tooth pictures collected by infrared light, relevant internal information can be marked on the three-dimensional model of the teeth ( For example, caries information (i.e., the number, shape, location and other information of caries) can make the collected tooth model data richer and more accurate.

As an example, the tooth model data may include dental arch size data, tooth texture data, individual tooth size data, missing tooth data or tooth restoration material data, or other data.

As an example, when the data that can be used for fuzzy search in the target patient information includes the dental model data of the target patient, one of the methods is to search for the patient information that matches the target patient information in the patient information database. This may include: analyzing the dental model data of the target patient by using three-dimensional data abstract analysis to correlate the dental model data of the target patient with other patient information, and identifying the patients whose difference value is less than or equal to the threshold. The information is determined to be patient information that matches the target patient information. It is worth noting that the above description of the fuzzy matching method using tooth model data is only an exemplary display. In practical applications, other fuzzy matching methods using tooth model data are not excluded and are not specifically limited.

It is worth noting that the above description of the data that can be used for fuzzy search is only an exemplary display. In actual applications, other data are not excluded, and the specific implementation of the data that can be used for fuzzy search is not limited.

It is worth noting that the above description of the collection method and specific implementation of dental model data is only an exemplary display. In practical applications, other collection methods and specific implementations are not excluded and are not limited.

It is worth noting that the above description of the oral scanning scenario is only an exemplary display. In actual applications, other application scenarios are not excluded, such as facial scanning scenarios. The above-mentioned associated data may also include facial features data of the target patient, such as In other medical scenarios, the above-mentioned associated data can also include medical information such as CBCT data, CT data, and X-ray picture information. Therefore, there are no specific limitations on the application scenarios.

As an example, the data in the above target patient information that can be used for fuzzy search can include association identifiers, which can represent whether the specified categories of data in different patient information are related; the target patient can be related to multiple patients. Patient information is bound, and the data of specified categories in the bound multiple patient information are related. Through the association identifier contained in the target patient information, the patient information with the association identifier is searched in the patient information database, and the patient information is determined as the patient information that matches the target patient information. In some cases (for example, when the medical treatment record is an order, due to business strategy and other considerations, it is necessary to merge the patient information of the two twins to create or edit the order, and the twins are actually two different patients; another example is that one patient can be After merging the patient information of a couple, order creation or editing is performed. The couple is actually two different patients. The above merged patient information can facilitate medical staff to carry out commercial marketing activities such as order discounts.) Users need to be aware of the existence of the patient information. When the related patient information of different patients is merged, the user's needs for merging different patients whose data of specified categories in the patient information are related can be met.

For example: Assume that the associated identifier is a birthday identifier, then the data of the specified category is birthday data. Assume that the birthday identifier only contains the date: January 1, 2000, then the birthday data contained in the patient information in the patient information database The data on January 1, 2000 is relevant. The corresponding patients may be different patients, but there is correlation between the patients. For example, the different patients are twins, triplets, etc. The associated identifier can also be other identifiers, such as an address identifier. If the data of the specified category is address data, then the data with the same address data contained in the patient information in the patient information database are related, and the corresponding patients may be different. The patients are related to each other, such as multiple family members at the same address.

It is worth noting that the above description of the specific implementation of the associated identifier and the designated category is only an exemplary display. In practical applications, other specific implementations are not excluded. Therefore, there are no limitations on the specific implementation of the associated identifier and the designated category.

As an example, the amount of data that can be used for fuzzy search in the target patient information may be larger than other patient information in the multiple pieces of patient information. Among the multiple pieces of patient information bound to the target patient, the patient information with the largest amount of data that can be used for fuzzy search among the multiple pieces of patient information is determined as the target patient information, which can ensure that in the fuzzy search At the same time, there is enough data to further ensure the scope and accuracy of the search. It is worth noting that the above description of the data size that can be used for fuzzy search in the target patient information is only an exemplary display. In actual applications, other data sizes are not excluded and are not specifically limited.

As an example, the data in the target patient information that can be used for fuzzy search may include the patient's name, patient's gender, patient's contact information, patient's birthday or patient's past medical history (such as hypertension, diabetes, etc.), CBCT data, One or more of CT data or X-ray picture information. It is worth noting that the description of the data that can be used for fuzzy search is only an exemplary display. In actual applications, other data, such as patient addresses and other data, are not excluded. There is no limit to the specific implementation of data that can be used for fuzzy search. .

As an example, after searching for patient information that matches the target patient information in the patient information database, the matching relationship can be stored in the patient information database, and when subsequent patient information is added, or the entered patient information can be modified. When patient information is obtained, the matching relationship can be directly used to determine whether the changed (newly added or modified) patient information matches.

S203. Merge the matched patient information to the target patient information, so as to process the treatment records of the target patient and the medical treatment of the patient corresponding to the matched patient information according to the merged patient information. Record.

The "medical treatment record" in this application refers to all files containing patient information. Medical treatment records can have a variety of specific forms and specific sources. As an example, medical treatment records can be created by medical staff for the patient when he or she is seeking medical treatment. Medical treatment files (such as diagnosis files, physical examination files, health care files or recuperation files, etc.) or scanned data;

Medical records can also be the medical records (such as historical medical records, allergen records, etc.) kept by other hospitals that the patient provides to hospitals (clinics), physical examination centers, health centers, nursing homes, etc. when the patient is seeking medical treatment; Medical data (such as scan models, CBCT data, CT data or X-ray picture information, etc.);

The medical records can also be the patient's medical records (such as historical medical records, allergen records, etc.) and medical data (such as scanning models, CBCT data, CT data) sent by the cooperating hospital to the main hospital during joint diagnosis by multiple hospitals. or X-ray picture information);

The medical treatment record can also be the patient's treatment in the hospital. The hospital transfers the relevant patient information to the dental laboratory (laboratory), and the laboratory creates orders for the patient (such as dental mold orders, appliance orders, and retainer orders). wait);

Medical records can also be patient-related medical records (such as historical medical records, allergy records, etc.) and medical data (such as scans) retained by hospitals (clinics), physical examination centers, health centers, nursing homes or dental laboratories (laboratories). model, CBCT data, CT data or X-ray picture information).

Therefore, this application does not limit the specific presentation form and specific source of medical treatment records.

The matched patient information can be merged into the target patient information in a variety of ways. As an example, one of the ways can include: in response to a user confirmation instruction, the matched patient information can be merged into the target patient information. Patient information, the user confirmation instruction can be issued by the user after confirming the above matched patient information. For example: after searching for patient information that matches the target patient information, the matched patient information can be sent to user, and requests the user to confirm the matched patient information and confirm whether to merge it. When the user confirms the matched patient information and confirms that it needs to be merged, the user can issue a user confirmation instruction, and in response to the instruction, the matched patient information will be merged. Patient information is merged into target patient information. It is worth noting that the above description of the merging method is only an exemplary display. In actual applications, other merging methods are not excluded. For example, after searching for patient information that matches the target patient information, user confirmation is not required. The matched patient information is automatically merged into the target patient information. Therefore, there is no specific limit on the merging method.

As an example, the medical treatment record processing method described in any of the above embodiments can be executed in response to a user's trigger request. The trigger request can include a request for new patient information for the target patient or a request for merging multiple patient information. ask.

As an example, the above-mentioned users may be medical staff who treat patients, or they may be other users, and this is not specifically limited.

As an example, assuming that the above-mentioned user is a medical staff who treats a patient, the new patient information request for the target patient can be that when the medical staff treats the target patient, he creates a consultation for the target patient. A new patient information request issued when recording.

As an example, the request to merge multiple pieces of patient information may be a request issued by the user to merge multiple pieces of patient information after the user discovers multiple pieces of duplicate patient information during or during non-medical treatment for the patient.

It is worth noting that the above description of the execution conditions of the medical treatment record processing method described in any of the above embodiments is only an exemplary display. In practical applications, other execution conditions are not excluded and are not specifically limited.

As an example, the medical treatment record processing method described in any of the above embodiments can be applied to a distributed system. The distributed system can include several clients. The medical treatment record processing method described in any of the above embodiments can be used in response to The user's trigger request (such as a request for new patient information for a target patient or a request to merge multiple patient information) is executed by the distributed system. If the distributed system receives the user's information sent by multiple clients at the same time, Trigger requests, that is, when multiple trigger requests are received at the same time, you can respond to the multiple trigger requests one by one and execute the medical treatment record processing method described in any of the above embodiments, thereby ensuring serial execution of the distributed system to achieve execution Uniqueness ensures the atomicity of the merged transaction, thus ensuring the stability of the system's transaction execution.

For example: when the distributed system receives two trigger requests at the same time, it can first respond and execute one of the trigger requests based on priority and other judgment principles, and then respond to the other trigger request; when the distributed system receives two trigger requests at the same time, When there are two trigger requests, you can also respond to and execute only one of the trigger requests based on priority and other judgment principles, and prompt the client that the other trigger request failed to respond.

It should be noted that the distributed system may only include several clients, and the several clients may receive trigger requests sent by the clients from each other, respond to the trigger requests, and perform the medical treatment record processing described in any of the above embodiments. method.

The distributed system may also include a main control center located locally or in the cloud. The main control center located locally or in the cloud receives the trigger request sent by the client, responds to the trigger request, and performs the medical treatment described in any of the above embodiments. Document treatment methods.

It is worth noting that the above description of the system applicable to the medical treatment record processing method described in any of the above embodiments is only an exemplary display. In actual applications, other applicable systems are not excluded and are not specifically limited.

As an example, the medical treatment record processing method described in any of the above embodiments can be applied to a distributed system. The distributed system can include a cloud and several clients. The cloud receives the above trigger request sent by any client. In this case, it can be used to execute the steps in the medical treatment record processing method described in any of the above embodiments, and synchronize the execution results to all clients.

As an example, if the above-mentioned cloud successfully merges the patient information, it can attribute the historical medical records of the patients corresponding to the merged patient information as the medical records of the above-mentioned target patients, and send a prompt of successful merging to the above-mentioned Client; if the above cloud system fails to merge successful patient information (for example, when the sending network is abnormal, or when the cloud system is in data maintenance state, or when the cloud system is serially processing multiple merge requests initiated at the same time), Then the merge failure prompt can be sent to the above-mentioned client.

It is worth noting that the above description of the execution subject is only an illustrative description. In practical applications, other execution subjects are not excluded and are not specifically limited.

As an example, before determining the target patient information, the patient information database for the target patient may be searched for at preset intervals. When there is actually multiple duplicate patient information for the target patient in the patient information database, but the user does not discover the duplication, it can automatically search for similar patient information for the target patient on a regular basis, and add the patient information to the patient information database. When it is detected in the database that the target patient is bound to multiple patient information, execution of the medical treatment record processing method described in any of the above embodiments is triggered.

As an example, the target patient and the patient corresponding to the matched patient information may be the same patient or different patients, and this is not specifically limited.

As an example, after the matched patient information is merged with the target patient information, the patient information contained in any medical treatment record of the target patient can also be updated to the target patient information. It can further ensure the unity of the merged information of multiple patients.

As an example, if it is detected that the patient information contained in any medical record of the target patient is different from the target patient information, an update prompt can be sent to the user to remind the user that the patient information can be updated, if the user agrees Update, then the patient information that is different from the target patient information can be updated to the target patient information in response to the user's instruction; if the user does not agree to the update, the patient information that is different from the target patient information can be updated in response to the user's instruction. Different patient information is set to read-only status. It is worth noting that the above description of the triggering conditions for patient information update is only an exemplary display. In actual applications, other triggering conditions are not excluded and are not specifically limited.

Referring to Figure 3, the following is an exemplary description of the specific application scenario of patient visit record processing according to one embodiment of the present application:

Suppose there are two patients A and B, and the patient information bound to patient A has been entered in the patient information database. For example, there are three pieces of patient information in Figure 3: patient A information 1, patient A information 2 , patient A’s information 3, then for the medical staff who subsequently treated patient A, taking the patient’s medical record as the patient’s order as an example, when it is necessary to create a dental order for patient A, the patient may not be found There are multiple pieces of duplicate information about patient A that already exist in the patient information database. When the medical staff issues a new patient information request for patient A through the client, the cloud system can respond to the request and add it to the patient information database. When it is detected that patient A is bound to multiple pieces of patient information (for example, patient A information 1 and patient A information 2 are detected; or patient A information 1 and patient A information 3 are detected), determine the target medical treatment Patient information (for example, when patient A information 1 and patient A information 2 are detected, patient A information 1 is determined as the target patient information). Assuming that the target patient information is patient A information 1, based on the patient The data in A information 1 can be used for fuzzy search, and the patient information matching the patient A information 1 (such as patient A information 2, patient A information 3) is searched in the patient information database, and the patient information is A information 2 and patient A information 3 are merged into patient A information 1 to obtain the merged patient information, so that patient A's order can be processed based on the merged patient information.

If patient A and patient B are related patients, and their respective patient information has the same associated identifier, then the patient information of patient B can also participate in the merger, as shown in Figure 3, patient B information 1, Patient A information 2 and patient A information 3 are merged into patient A information 1.

The technical solution provided by the embodiment of the present application is that when there are multiple duplicate patient information for a target patient in the patient information database, one piece of target patient information is determined among them, and the patient information that matches the target patient information is The patient information is all merged into the target patient information, which allows you to create or edit the target patient's medical records and the patient's medical records corresponding to the matched patient information only on the basis of the merged patient information. , which improves the efficiency of creating medical records. At the same time, when searching for patient information that matches the target patient information in the patient information database, it can be used in the patient information database based on the data in the target patient information that can be used for fuzzy search. Fuzzy matching is performed to improve search efficiency while ensuring a larger search range and making the search results more accurate.

Corresponding to the above method embodiments, embodiments of the present application also provide a medical treatment record processing device, as shown in Figure 4. The device may include:

The determining unit 401 is used to determine the target patient information when it is detected in the patient information database that the target patient is bound to multiple pieces of patient information, and the target patient information is one of the multiple pieces of patient information. patient information;

The search unit 402 is configured to search for patient information matching the target patient information in the patient information database based on data associated with the target patient information, where the associated data includes the target patient information. Data in the user information that can be used for fuzzy search;

The merging unit 403 is configured to merge the matched patient information into the target patient information, so as to process the treatment records of the target patient and the corresponding medical records of the matched patient information according to the merged patient information. Patient's medical records.

As an example, when the above-mentioned medical treatment record processing device is applied to an oral scanning scenario, the data that can be used for fuzzy search in the target patient information includes the tooth model data of the target patient, and the target patient is bound to multiple The same patient with the same patient information.

As an example, the data in the target patient information that can be used for fuzzy search include association identifiers, which represent whether the data of specified categories in different patient information are related; the target patient is related to multiple patients. The patient information is bound, and the data of specified categories in the bound multiple patient information are related.

As an example, the amount of data that can be used for fuzzy search in the target patient information is larger than other patient information in the multiple pieces of patient information.

As an example, the data in the target patient information that can be used for fuzzy search include the patient's name, patient's gender, patient's contact information, patient's birthday, patient's past medical history, CBCT data, CT data or X-ray picture information. one or more of them.

As an example, the determining unit 401 is further configured to search the patient information database for patient information for the target patient at preset intervals.

As an example, the merging unit 403 is also configured to update the patient information contained in any medical treatment record of the target patient to the target patient information.

This application also provides an electronic device, as shown in Figure 5. The electronic device includes:

Processor 501;

Memory 502 for storing instructions executable by the processor;

Wherein, the processor 501 is configured to implement the medical treatment record processing method described in any of the above embodiments.

This application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the medical treatment record processing method described in any of the above embodiments is implemented.

The above are only specific embodiments of the present application. It should be pointed out that for those of ordinary skill in the art, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications can also be made. should be regarded as the scope of protection of this application.

Claims (14)

1. A method for processing medical treatment records, which is characterized in that it includes: When it is detected in the patient information database that the target patient is bound to multiple pieces of patient information, determine the target patient information, and the target patient information is one piece of patient information among the multiple pieces of patient information; Based on the data associated with the target patient information, the patient information matching the target patient information is searched for in the patient information database, and the associated data includes the target patient information that can be used for Fuzzy search data; The matched patient information is merged with the target patient information to process the target patient's medical treatment record and the patient's medical treatment record corresponding to the matched patient information according to the merged patient information. 2. The method according to claim 1, wherein merging the matched patient information into the target patient information includes: In response to a user confirmation instruction, the matched patient information is merged into the target patient information. The user confirmation instruction is issued after the user confirms the matched patient information. 3. The method according to claim 1, characterized in that when the method is applied to an oral scanning scenario, the data that can be used for fuzzy search in the target patient information includes the tooth model data of the target patient, The target patient is the same patient bound to multiple pieces of patient information. 4. The method according to claim 1, characterized in that the data in the target patient information that can be used for fuzzy search includes an association identifier, and the association identifier represents whether the data of a specified category in different patient information are associated. The target patient is bound to the patient information of multiple patients, and the data of specified categories in the bound multiple patient information are relevant. 5. The method according to claim 1, characterized in that the amount of data that can be used for fuzzy search in the target patient information is larger than other patient information in the plurality of patient information. 6. The method according to claim 1, characterized in that the data in the target patient information that can be used for fuzzy search include the patient's name, the patient's gender, the patient's contact information, the patient's birthday, and the patient's past history. One or more of medical history, CBCT data, CT data or X-ray picture information. 7. The method according to claim 1, characterized in that the method is executed in response to a user's trigger request, and the trigger request includes a new patient information request for the target patient or merging multiple medical visits. request for information. 8. The method according to claim 7, characterized in that the method is suitable for a distributed system, the distributed system includes several clients, and the trigger request sent by multiple clients is received at the same time. Next, respond to the trigger requests one by one. 9. The method according to claim 7, characterized in that the method is suitable for a distributed system, the distributed system includes a cloud and several clients, and the cloud receives the information sent by any client. When a request is triggered, it is used to execute the steps in the method and synchronize the execution results to all clients. 10. The method according to claim 1, characterized in that before determining the target patient information, the method further includes: Every preset time, the patient information database for the target patient is searched for. 11. The method according to claim 1, characterized in that after merging the matched patient information into the target patient information, the method further includes: Update the patient information contained in any medical treatment record of the target patient to the target patient information. 12. A medical treatment record processing device, characterized in that it includes: A determining unit, configured to determine the target patient information when it is detected in the patient information database that the target patient is bound to multiple pieces of patient information, and the target patient information is one of the multiple pieces of patient information. Patient information; A search unit configured to search for patient information matching the target patient information in the patient information database based on data associated with the target patient information, where the associated data includes the target patient information. Data in the information that can be used for fuzzy search; A merging unit configured to merge the matched patient information into the target patient information, so as to process the treatment records of the target patient and the medical treatment corresponding to the matched patient information according to the merged patient information. patient’s medical records. 13. An electronic device, characterized in that it includes: processor; Memory used to store instructions executable by the processor; Wherein, the processor is configured to implement the method according to any one of claims 1 to 11. 14. A computer-readable storage medium with a computer program stored thereon, characterized in that when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 11 are implemented.