CN114360137A - Information acquisition automatic guide system for hospital - Google Patents
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Abstract
The invention discloses an information acquisition automatic guidance system for hospitals, which comprises a server side, a plurality of information acquisition automatic guidance modules and a plurality of information acquisition automatic guidance modules, wherein the server side is provided with a semantic recognition model which is divided into a plurality of recognition sub-models; the medical information storage device is internally pre-stored with identity information and treatment information; the mobile terminal includes: the first recommendation unit is used for generating a first recommendation list according to the visit information; the model downloading unit is used for downloading the identification submodel from the server side; the storage unit is used for storing the identification submodel; the information input unit is used for inputting the sick condition of the patient to generate character information; the second recommendation unit is used for inputting the character information into the identification submodel, the identification submodel extracts the keywords in the character information according to a preset extraction algorithm, and a second recommendation list is generated according to the keywords; and the registration unit is used for generating a registration instruction according to the number of the consulting room selected by the patient and sending the registration instruction to the medical terminal, and the medical terminal registers according to the registration instruction. The invention improves registration efficiency and safety of the ill information.
Description
Technical Field
The invention relates to the technical field of medical information management, in particular to an information acquisition automatic guide system for hospitals.
Background
The traditional registration modes of the hospital comprise manual registration and registration machine registration, wherein the manual registration requires that medical workers register according to experience recommendation departments after listening to the description of the patient on the self disease characteristics; and the registration machine registration needs the patient to go to the registration machine to carry out autonomic registration after having certain understanding to self state of an illness, compares in artifical registration, can remove the time of asking medical care worker from to accelerate registration efficiency. A great number of patients have insufficient knowledge about their conditions and need to go to a manual registration window to inquire about medical workers, so that manual registration is performed, and the registration efficiency is low. The registration machine requires the patient to know the state of illness, and determines that the patient is to be registered with the number of the corresponding department, so that most of the patients cannot meet the requirement. Meanwhile, the registering machine needs to go to the place where the registering machine is placed for autonomous registration, unnecessary troubles are caused to the patient with the inconvenience of legs and feet, time is wasted in the way of going to the registering machine and the process of queuing and registering at the registering machine, and registration efficiency is low.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an information acquisition automatic guide system for a hospital, which is used for improving registration efficiency, improving the safety of text information related to a sick state and avoiding information leakage.
In order to realize the purpose, the invention provides the following technical scheme: an information collection automated guidance system for a hospital, comprising:
the system comprises a server side, a database and a database, wherein the server side is pre-configured with a semantic recognition model, the semantic recognition model is pre-divided into a plurality of recognition submodels, and the recognition submodels are associated with the diseased part of a patient;
the mobile terminal is internally provided with a first wireless communication device, a second wireless communication device and a third wireless communication device in advance;
the mobile terminal is connected with a medical information storage device through the first wireless communication device, and the identity information and corresponding treatment information of the patient are stored in the medical information storage device in advance;
the mobile terminal is connected with a medical terminal through the second wireless communication device, and the medical terminal is connected to a registration system in the hospital;
the mobile terminal is connected with the server end through the third wireless communication device;
the mobile terminal includes:
the first recommendation unit is used for reading the visit information and generating a first recommendation list according to the visit information, wherein the first recommendation list comprises the number of the visit room and a plurality of corresponding visit time periods;
the model downloading unit is used for enabling the patient to select the diseased part and downloading a corresponding identifier model from the server side according to the diseased part;
the storage unit is connected with the model downloading unit and used for storing the identifier model;
the information input unit is used for inputting the ill condition of the patient and generating character information;
the second recommendation unit is respectively connected with the storage unit and the information input unit and used for inputting the character information into the identification submodel, the identification submodel extracts all key words in the character information according to a preset extraction algorithm and generates a second recommendation list according to the key words, and the second recommendation list comprises a plurality of consulting room numbers;
and the registration unit is respectively connected with the first recommendation unit and the second recommendation unit and used for generating a registration instruction according to the number of the consulting room selected by the patient and sending the registration instruction to the medical terminal, and the medical terminal registers the corresponding consulting room in a registration system in the hospital according to the registration instruction.
Further, the mobile terminal further includes:
the encryption unit is connected with the model downloading unit and used for encrypting the diseased part according to a preset secret key and sending the encrypted diseased part to the server side;
the server side includes:
the decryption unit is used for decrypting the encrypted diseased part according to the preset secret key to obtain the original data of the diseased part;
and the model selection unit is connected with the decryption unit and used for selecting the corresponding identifier model according to the original data of the diseased part for downloading.
Further, the first recommending unit includes:
the information reading subunit is used for reading the treatment information and the current time, wherein the treatment information comprises a doctor and a corresponding consulting room number;
and the list generation subunit is connected with the information reading subunit and is used for inquiring a diagnosis schedule of the treating doctor on the current day, wherein the diagnosis schedule comprises a plurality of diagnosis time periods, and the first recommendation list is generated according to the proximity relation between the diagnosis time periods and the current time and the corresponding consulting room number.
Further, the first recommending unit comprises an identity verifying subunit, connected to the information reading subunit, and configured to acquire biometric information of the patient in real time, verify the biometric information and the identity information, and generate a verification result, and after the verification result indicates that the biometric information and the identity information are verified, the information reading subunit reads the visit information.
Further, an identification database is preset in the identification submodel, a plurality of preset keywords and a plurality of office numbers are stored in the identification database in advance, each office number is associated with a plurality of preset keywords, and the process of generating the second recommendation list by the identification submodel according to each keyword includes: and the recognition sub-model matches each keyword with each preset keyword to generate a matching result, and sorts the corresponding consulting room number according to the matching result to obtain the second recommendation list.
Further, the biometric information includes fingerprint data, facial shape data, or iris data.
Further, the information entry unit includes:
the character input subunit is used for inputting the character information related to the diseased condition by the patient;
and the voice recording subunit is used for recording voice information related to the ill condition for the patient and converting the voice information into the text information according to a preset conversion algorithm.
And the mobile terminal further comprises a navigation unit which is connected with the registration unit and used for generating and displaying a corresponding three-dimensional panoramic navigation map according to the registration instruction.
Further, the mobile terminal further comprises a payment unit connected with the registration unit and used for generating a payment request while the registration instruction is generated, generating a charge completion instruction after the patient enters payment data and sending the charge completion instruction to the medical terminal, and the medical terminal completes registration charge to a corresponding consulting room in a hospital internal registration system according to the charge completion instruction.
Further, the first wireless communication device is a near field communication device, the second wireless communication device is a bluetooth device, and the third wireless communication device is a wireless local area network device.
The invention has the beneficial effects that:
according to the invention, the mobile terminal is used for registration, so that the walking registration of the patient with inconvenient legs and feet is avoided, the walking queuing time is saved, and the registration efficiency is effectively improved; meanwhile, the sick condition is recorded into the mobile terminal in a text recording or voice recording mode, the identification submodel downloaded to the mobile terminal generates a second recommendation list according to the text information of the sick condition, so that the patient can select a consulting room number for registration, the patient does not need to know the state of the sick condition, the intelligent degree is high, and the intelligent recommendation of the patient is realized; in the invention, in the process of processing the text information related to the diseased state by the identifier model, the patient selects the diseased part first and downloads the identifier model from the server to the mobile terminal according to the diseased part, so that the text information related to the diseased state is prevented from being directly identified in the semantic identification model of the server, the text information related to the diseased state is prevented from being leaked at the server, and the safety of the text information related to the diseased state is effectively improved.
Drawings
FIG. 1 is a schematic diagram of the general structure of an automatic guidance system for information acquisition in the invention;
FIG. 2 is a schematic diagram of a first recommendation unit in the invention;
fig. 3 is a schematic structural diagram of an information recording unit in the invention.
Reference numerals: 1. a server side; 11. a decryption unit; 12. a model selection unit; 2. a mobile terminal; 21. a first recommending unit; 211. an information reading subunit; 212. a list generation subunit; 213. an identity verification subunit; 22. a model downloading unit; 23. a storage unit; 24. an information entry unit; 241. a text entry subunit; 242. a voice recording subunit; 25. a second recommending unit; 26. a registration unit; 27. an encryption unit; 28. a navigation unit; 29. a payment unit; 3. a medical information storage device; 4. a medical terminal; 5. hospital internal registration system.
Detailed Description
The invention is further explained in detail below with reference to the drawings and examples. In which like parts are designated by like reference numerals. It should be noted that the terms "front," "back," "left," "right," "upper" and "lower" used in the following description refer to directions in the drawings, and the terms "bottom" and "top," "inner" and "outer" refer to directions toward and away from, respectively, the geometric center of a particular component.
As shown in fig. 1, an information collection automatic guidance system for a hospital of the present embodiment includes:
the system comprises a server end 1, wherein the server end 1 is pre-configured with a semantic recognition model, the semantic recognition model is pre-divided into a plurality of recognition submodels, and the recognition submodels are associated with the diseased part of a patient;
a mobile terminal 2, wherein a first wireless communication device, a second wireless communication device and a third wireless communication device are preset in the mobile terminal 2;
the mobile terminal 2 is connected with a medical information storage device 3 through a first wireless communication device, and the identity information of a patient and corresponding diagnosis information are stored in the medical information storage device 3 in advance;
the mobile terminal 2 is connected with a medical terminal 4 through a second wireless communication device, and the medical terminal 4 is connected to a hospital internal registration system 5;
the mobile terminal 2 is connected with the server terminal 1 through a third wireless communication device;
the mobile terminal 2 includes:
the first recommendation unit 21 is configured to read the visit information, and generate a first recommendation list according to the visit information, where the first recommendation list includes a number of a visit room and a plurality of corresponding visit time periods;
the model downloading unit 22 is used for selecting the diseased part by the patient and downloading a corresponding identification submodel from the server end 1 according to the diseased part;
a storage unit 23 connected to the model downloading unit 22 for storing the identification submodel;
the information input unit 24 is used for inputting the sick condition of the patient and generating character information;
the second recommendation unit 25 is respectively connected with the storage unit 23 and the information input unit 24, and is used for inputting the text information into the recognition submodel, the recognition submodel extracts all keywords in the text information according to a preset extraction algorithm, and generates a second recommendation list according to the keywords, wherein the second recommendation list comprises a plurality of consulting room numbers;
and the registration unit 26 is respectively connected with the first recommending unit 21 and the second recommending unit 25, and is used for generating a registration instruction according to the number of the medical room selected by the patient and sending the registration instruction to the medical terminal 4, and the medical terminal 4 registers the corresponding medical room in the hospital internal registration system 5 according to the registration instruction.
According to the technical scheme, the mobile terminal 2 is used for registration, so that the walking registration of the patient with inconvenient legs and feet is avoided, the walking queuing time is saved, and the registration efficiency is effectively improved; meanwhile, according to the technical scheme, the ill condition is recorded into the mobile terminal 2 in a text recording or voice recording mode, the identification submodel downloaded to the mobile terminal 2 generates a second recommendation list according to the text information of the ill condition, so that the patient can select a consulting room number to register, the patient does not need to know the illness condition of the patient, the intelligent degree is high, and the intelligent recommendation of the patient is realized; in the technical scheme, in the process of processing the text information related to the diseased state by the identifier model, the diseased part is selected by the patient firstly, and the identifier model is downloaded from the server end 1 to the inside of the mobile terminal 2 according to the diseased part, so that the text information related to the diseased state is prevented from being identified in the semantic identification model of the server end 1 directly, the text information related to the diseased state is prevented from being leaked at the server end 1, and the safety of the text information related to the diseased state is effectively improved.
Preferably, the first wireless communication device is a near field communication device, the second wireless communication device is a bluetooth device, and the third wireless communication device is a wireless lan device.
Specifically, in this embodiment, the medical terminal 4 may be a registration machine, the medical information storage unit 23 may be a medical insurance card, and the mobile terminal 2 may be a mobile phone. The mobile phone is internally integrated with a near field communication device, a Bluetooth device and a wireless local area network device.
The inside bluetooth device that also integrateed of registration machine is provided with, and the registration machine is connected to hospital's inside registration system 5 through hospital's inside private network. The registering machine is placed in the range of 100 meters at the door of the hospital, and the Bluetooth device in the registering machine is always in an open state. After the patient walks into the hospital, the patient firstly opens the Bluetooth device on the mobile phone to search nearby Bluetooth equipment, and after the Bluetooth equipment with the name of a registered machine is searched, the Bluetooth equipment is matched with the Bluetooth device to establish Bluetooth connection. The medical insurance card is firstly attached to the surface of the mobile phone, so that the near field communication device in the mobile phone reads the treatment information in the medical insurance card, and the first recommendation unit 21 generates a first recommendation list according to the treatment information and displays the first recommendation list on a mobile phone screen so that a patient can select a number of a consulting room.
The mobile phone is connected to the server 1 through a wireless local area network device. The patient accesses a webpage for downloading the model by connecting a private network in the hospital, a plurality of optional diseased parts are configured on the webpage in advance, and the patient can realize the downloading of the corresponding identification submodel by clicking the corresponding diseased part. And downloading the identifier model to the internal storage space of the mobile phone. The patient inputs text information on the mobile phone, the text information is input into the downloaded identification submodel, the identification submodel extracts all key words in the text information, and a second recommendation list is generated for the patient to select a consulting room number.
After the patient has selected the consulting room number on the cell-phone, registration unit 26 generates the instruction of registering according to this consulting room number to through bluetooth communication with the instruction of registering and send to the machine of registering, realize registering in hospital's inside registration system 5 through the machine of registering finally, realized long-range wireless registering.
Preferably, the mobile terminal 2 further includes:
an encryption unit 27 connected to the model download unit 22, for encrypting the affected part according to a preset key and sending the encrypted affected part to the server 1;
the server 1 includes:
the decryption unit 11 is configured to decrypt the encrypted diseased part according to a preset key to obtain original data of the diseased part;
and the model selecting unit 12 is connected with the decryption unit 11 and is used for selecting the corresponding identifier model according to the original data of the diseased part for downloading.
Specifically, in this embodiment, the predetermined key is a symmetric key. Further, the symmetric key may be an AES key. The AES key has the advantages of simplicity, capability of parallel calculation and no error transmission. The encryption unit 27 and the decryption unit 11 encrypt and decrypt the affected part according to the AES key, so that the overall efficient processing of the system is ensured, errors are reduced, and the safety and the efficiency of the technical scheme are effectively improved.
Preferably, the first recommendation unit 21 includes:
an information reading subunit 211, configured to read treatment information and current time, where the treatment information includes a doctor and a corresponding office number;
the list generating subunit 212 is connected to the information reading subunit 211, and is configured to query a visiting schedule of the treating doctor on the current day, where the visiting schedule includes a plurality of visiting time periods, and generate a first recommendation list according to a proximity relationship between the visiting time periods and the current time and a corresponding number of the consulting room.
Specifically, in this embodiment, the visit information includes information related to the doctor who visits at the latest time and a corresponding office number, and the information reading subunit 211 can acquire the current time in the timer of the mobile phone and simultaneously acquire information related to the doctor who visits at the latest time in the visit information. The list generating subunit 212 queries the doctor's diagnosis schedule and corresponding diagnosis information of the current day according to the information related to the doctor. And filtering the visit time periods of patients in the visit schedule, determining priority ranking according to the proximity relation with the current time after filtering the visit time periods, wherein the visit time period closest to the current time has the highest priority, the visit time period and the corresponding consulting room number are arranged at the top of the first recommendation list, the visit time period with the longest interval with the current time has the lowest priority, and the visit time period and the corresponding consulting room number are arranged at the bottom of the first recommendation list.
Preferably, the first recommending unit 21 includes an identity verifying subunit 213, and the connection information reading subunit 211, configured to collect, in real time, biometric information of the patient, verify the biometric information and the identity information, generate a verification result, and after the verification result indicates that the biometric information and the identity information are verified, the information reading subunit 211 reads the information about the doctor.
Specifically, in this embodiment, the identity authentication subunit 213 acquires the biometric information in real time by using the existing biometric acquisition module of the mobile phone. Because the biological characteristic information and the identity information in the mobile phone are correlated in advance, when the biological characteristic information and the identity information are not verified, the current user of the mobile phone is not the patient with the mobile phone, so that the patient information of the patient cannot be read, the patient information is protected, and the safety of the technical scheme is improved.
Preferably, an identification database is pre-set in the identification submodel, a plurality of preset keywords and a plurality of office numbers are pre-stored in the identification database, each office number is associated with a plurality of preset keywords, and the process of generating the second recommendation list by the identification submodel according to each keyword includes: and the recognition submodel matches each keyword with each preset keyword to generate a matching result, and sorts the corresponding consulting room numbers according to the matching result to obtain a second recommendation list.
Specifically, in this embodiment, the identifier model matches the keywords with the preset keywords by using a decision tree algorithm. The decision tree algorithm has the advantages of low calculation complexity, easiness in understanding of output results, insensitivity to deletion of intermediate values, capability of processing nonlinear characteristic data which cannot be solved such as logistic regression and the like, and can realize efficient and convenient matching of keywords and preset keywords. The recognition submodel calculates the matching coincidence rate of each keyword and each preset keyword, and generates a corresponding matching result according to the matching coincidence rate of each keyword and each preset keyword, wherein the matching result is used for representing the matching degree of the keywords and the number of the consulting room. And the recognition submodel generates a second recommendation list according to the matching result. In the second recommendation list, the higher the matching degree of the keyword and the office number is, the higher the office number is ranked in the second recommendation list.
Preferably, the biometric information includes fingerprint data, facial data, or iris data.
Preferably, the information entry unit 24 includes:
a text entry subunit 241, configured to allow the patient to enter text information related to the diseased condition;
and the voice recording subunit 242 is configured to record voice information related to the diseased state for the patient, and convert the voice information into text information according to a preset conversion algorithm.
Preferably, the mobile terminal 2 further comprises a navigation unit 28 connected to the registration unit 26, and configured to generate and display a corresponding three-dimensional panoramic navigation map according to the registration instruction.
Specifically, in the present embodiment, in the three-dimensional panoramic navigation map generated by the navigation unit 28, the registration instruction is highlighted for the corresponding consulting room, so that the patient can find the position of the consulting room in the three-dimensional panoramic navigation map more clearly, and the patient can find the corresponding consulting room in the actual scene conveniently.
Preferably, the mobile terminal 2 further comprises a payment unit 29 connected to the registration unit 26, and configured to generate a payment request while generating the registration instruction, and generate a charge completion instruction after the patient enters the payment data, so as to send the charge completion instruction to the medical terminal 4, where the medical terminal 4 completes registration charging for the corresponding office in the hospital internal registration system 5 according to the charge completion instruction.
Specifically, in this embodiment, the payment data input by the patient may be a payment password, or may be fingerprint data, face data, or iris data associated with the patient identity information.
The above is only a preferred embodiment of the invention, and the scope of the invention is not limited to the above embodiments, and all technical solutions belonging to the inventive idea belong to the scope of the invention. It should be noted that modifications and embellishments within the scope of the invention may be made by those skilled in the art without departing from the principle of the invention.
Claims (10)
1. An information collection automatic guidance system for a hospital, comprising:
the system comprises a server side, a database and a database, wherein the server side is pre-configured with a semantic recognition model, the semantic recognition model is pre-divided into a plurality of recognition submodels, and the recognition submodels are associated with the diseased part of a patient;
the mobile terminal is internally provided with a first wireless communication device, a second wireless communication device and a third wireless communication device in advance;
the mobile terminal is connected with a medical information storage device through the first wireless communication device, and the identity information and corresponding treatment information of the patient are stored in the medical information storage device in advance;
the mobile terminal is connected with a medical terminal through the second wireless communication device, and the medical terminal is connected to a registration system in the hospital;
the mobile terminal is connected with the server end through the third wireless communication device;
the mobile terminal includes:
the first recommendation unit is used for reading the visit information and generating a first recommendation list according to the visit information, wherein the first recommendation list comprises the number of the visit room and a plurality of corresponding visit time periods;
the model downloading unit is used for enabling the patient to select the diseased part and downloading a corresponding identifier model from the server side according to the diseased part;
the storage unit is connected with the model downloading unit and used for storing the identifier model;
the information input unit is used for inputting the ill condition of the patient and generating character information;
the second recommendation unit is respectively connected with the storage unit and the information input unit and used for inputting the character information into the identification submodel, the identification submodel extracts all key words in the character information according to a preset extraction algorithm and generates a second recommendation list according to the key words, and the second recommendation list comprises a plurality of consulting room numbers;
and the registration unit is respectively connected with the first recommendation unit and the second recommendation unit and used for generating a registration instruction according to the number of the consulting room selected by the patient and sending the registration instruction to the medical terminal, and the medical terminal registers the corresponding consulting room in a registration system in the hospital according to the registration instruction.
2. The information collection automatic guidance system for hospitals according to claim 1, characterized in that: the mobile terminal further includes:
the encryption unit is connected with the model downloading unit and used for encrypting the diseased part according to a preset secret key and sending the encrypted diseased part to the server side;
the server side includes:
the decryption unit is used for decrypting the encrypted diseased part according to the preset secret key to obtain the original data of the diseased part;
and the model selection unit is connected with the decryption unit and used for selecting the corresponding identifier model according to the original data of the diseased part for downloading.
3. The information collection automatic guidance system for hospitals according to claim 1, characterized in that: the first recommending unit comprises:
the information reading subunit is used for reading the treatment information and the current time, wherein the treatment information comprises a doctor and a corresponding consulting room number;
and the list generation subunit is connected with the information reading subunit and is used for inquiring a diagnosis schedule of the treating doctor on the current day, wherein the diagnosis schedule comprises a plurality of diagnosis time periods, and the first recommendation list is generated according to the proximity relation between the diagnosis time periods and the current time and the corresponding consulting room number.
4. The information collection automatic guidance system for hospitals according to claim 3, characterized in that: the first recommending unit comprises an identity verifying subunit, is connected with the information reading subunit and is used for acquiring biological characteristic information of a patient in real time, verifying the biological characteristic information and the identity information to generate a verification result, and the information reading subunit reads the information of seeing a doctor after the verification result shows that the biological characteristic information and the identity information are verified to pass.
5. The information collection automatic guidance system for hospitals according to claim 1, characterized in that: an identification database is preset in the identification submodel, a plurality of preset keywords and a plurality of diagnosis room numbers are stored in the identification database in advance, each diagnosis room number is associated with a plurality of preset keywords, and the process that the identification submodel generates the second recommendation list according to the keywords comprises the following steps: and the recognition sub-model matches each keyword with each preset keyword to generate a matching result, and sorts the corresponding consulting room number according to the matching result to obtain the second recommendation list.
6. The information collection automatic guidance system for hospitals according to claim 5, characterized in that: the biometric information includes fingerprint data, facial data, or iris data.
7. The information collection automatic guidance system for hospitals according to claim 1, characterized in that: the information entry unit includes:
the character input subunit is used for inputting the character information related to the diseased condition by the patient;
and the voice recording subunit is used for recording voice information related to the ill condition for the patient and converting the voice information into the text information according to a preset conversion algorithm.
8. The information collection automatic guidance system for hospitals according to claim 1, characterized in that: the mobile terminal also comprises a navigation unit which is connected with the registration unit and used for generating and displaying a corresponding three-dimensional panoramic navigation map according to the registration instruction.
9. The information collection automatic guidance system for hospitals according to claim 1, characterized in that: the mobile terminal further comprises a payment unit which is connected with the registration unit and used for generating a payment request while the registration instruction is generated, generating a charge completion instruction after the patient enters payment data and sending the charge completion instruction to the medical terminal, and the medical terminal completes registration charging for a corresponding consulting room in a hospital internal registration system according to the charge completion instruction.
10. The information collection automatic guidance system for hospitals according to claim 1, characterized in that: the first wireless communication device is a near field communication device, the second wireless communication device is a Bluetooth device, and the third wireless communication device is a wireless local area network device.
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