CN110911017A - Consultation method, device and system - Google Patents
Consultation method, device and system Download PDFInfo
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- CN110911017A CN110911017A CN201910974563.3A CN201910974563A CN110911017A CN 110911017 A CN110911017 A CN 110911017A CN 201910974563 A CN201910974563 A CN 201910974563A CN 110911017 A CN110911017 A CN 110911017A
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- 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
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
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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
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
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Abstract
The disclosure provides a consultation method, a consultation device and a consultation system, and relates to the technical field of remote medical consultation. The consultation method comprises the following steps: acquiring coded data, wherein the coded data are acquired by acquiring and coding the detection result of the medical detection machine on the patient through an acquisition end; distributing the coded data according to a preset distribution rule for diagnosis at a diagnosis end; and judging whether a consultation group needs to be established for consultation according to the diagnosis result. The consultation method can solve the problems that excellent doctors in different departments cannot diagnose patients timely and comprehensively and doctors in related departments cannot be called up to consult through a network.
Description
Technical Field
The disclosure relates to the technical field of remote medical consultation, in particular to a consultation method, device and system.
Background
At present, China has a large population, and medical resources are unevenly distributed due to the difference of economic levels among regions, so that the per-capita medical resource level of China is low, and high-quality medical resources are highly concentrated in economically developed regions.
In the regions with deficient medical resources, the disease can not be diagnosed accurately and the pathogenic condition is delayed because the patients can not use the medical resources with high quality. Particularly, under the scene that casualties are urgently needed to be treated due to natural disasters and personal accidents such as traffic accidents, safety accidents, earthquakes and tsunamis, how to quickly collect high-quality medical resources in other places to carry out all-round quick diagnosis on injured people is a problem which needs to be solved urgently.
Disclosure of Invention
The present disclosure is directed to overcoming the disadvantages of the prior art and providing a consultation method, apparatus and system, which can solve the problems that excellent doctors in different departments cannot diagnose patients timely and comprehensively and doctors in the relevant departments cannot call up the consultation via a network.
According to a first aspect of embodiments of the present disclosure, there is provided a consultation method, including:
acquiring coded data, wherein the coded data are acquired by acquiring and coding the detection result of the medical detection machine on the patient through an acquisition end;
distributing the coded data according to a preset distribution rule for diagnosis at a diagnosis end;
and judging whether a consultation group needs to be established for consultation according to the diagnosis result.
In one embodiment, before the encoded data is encoded data generated according to a detection result of at least one part of a body, and the encoded data is distributed according to a preset distribution rule for a diagnosis end to perform diagnosis, the method further includes:
copying the coded data to generate a plurality of copied coded data;
said distributing said encoded data comprises:
and distributing the copied multiple copies of coded data respectively.
In one embodiment, before the encoded data is generated according to a detection result of a whole body, and the encoded data is distributed according to a preset distribution rule for a diagnosis end to perform diagnosis, the method further includes:
dividing the coded data according to departments to generate divided coded data;
said distributing said encoded data comprises:
and distributing the segmented coded data according to the corresponding departments.
In one embodiment, the determining whether a consultation team needs to be established for consultation according to the diagnosis result includes:
if the diagnosis result contains the first identification, determining that a consultation group needs to be established for consultation; wherein the first identifier is used for indicating that the diagnosis result is diagnosed and is to be further detected.
In one embodiment, the method further comprises:
and setting a consultation sequence, so that the diagnosis end in the consultation group reversely controls the acquisition end according to the consultation sequence, and the diagnosis end sends instructions on the state of illness of the patient or guides the operation.
In one embodiment, the determining whether a consultation team needs to be established for consultation according to the diagnosis result includes:
if the diagnosis result contains the second identifier or the third identifier, determining that a consultation group is not required to be set; the second mark is used for indicating that the diagnosis result is diagnosed and has no problem, and the third mark is used for indicating that the diagnosis result is diagnosed and has been diagnosed.
In one embodiment, a patient identification is added to the coded data, the patient identification corresponding to the patient.
According to a second aspect of the embodiments of the present disclosure, there is provided a consultation apparatus including:
the acquisition module acquires coded data, wherein the coded data are obtained by acquiring and coding the detection result of the medical detection machine on the patient through the acquisition end;
the distribution module distributes the coded data according to a preset distribution rule so as to be used for diagnosis at a diagnosis end;
and the judging module judges whether a consultation group needs to be established for consultation according to the diagnosis result.
In one embodiment, the apparatus further comprises:
and the copying module is used for copying the coded data to generate a plurality of copied coded data.
In one embodiment, the apparatus further comprises:
and the segmentation module is used for segmenting the coded data according to departments to generate segmented coded data.
According to a third aspect of embodiments of the present disclosure, there is provided a consultation system including:
the system comprises a server, a plurality of acquisition terminals and a plurality of diagnosis terminals, wherein the acquisition terminals and the diagnosis terminals are connected with the server; wherein the content of the first and second substances,
the acquisition end is used for acquiring the detection result of the medical detection machine on the patient, encoding the detection result to generate encoded data and sending the encoded data to the server;
the diagnosis end is used for decoding the received coded data, generating a reply message according to the identification in the detection result feedback area and the diagnosis result, encrypting the reply message and sending the encrypted reply message to the acquisition end;
and the server is used for distributing the received coded data to the diagnosis end according to a preset rule and determining whether a consultation group needs to be established or not according to the reply message.
In one embodiment, the acquisition end is connected with a medical detection machine, and acquires a static detection result as one frame and acquires a dynamic detection result as a plurality of continuous image frames according to a detection result displayed by the medical detection machine.
In the embodiment of the disclosure, through remote medical treatment, a patient can be diagnosed timely and comprehensively by excellent doctors in different departments in other places, and doctors in related departments can be called up to perform consultation through a network.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
Fig. 1 is a flowchart of a consultation method according to an embodiment of the disclosure.
Fig. 2 is an architecture diagram of a consultation apparatus according to an embodiment of the present disclosure.
Fig. 3 is an architecture diagram of a consultation apparatus according to an embodiment of the present disclosure.
Fig. 4 is an architecture diagram of a consultation device according to an embodiment of the present disclosure.
Fig. 5 is a schematic diagram of a consultation system according to an embodiment of the disclosure.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
The disclosed embodiment provides a consultation method, as shown in fig. 1, the consultation method includes the following steps:
illustratively, the detection result may be at least one of a CT image, a color ultrasound image, and the like.
In one embodiment, after the medical detection machine finishes the examination of the patient, the acquisition end acquires the detection result displayed by the medical detection machine, encodes the detection result to generate encoded data, and sends the encoded data to the server after adding the patient identifier into the encoded data; wherein one patient identification corresponds to one patient.
Illustratively, the medical detection machine can be a CT machine, a color ultrasound machine, etc., and the acquisition end is connected with the medical detection machine such as the CT machine, the color ultrasound machine, etc.
It will be appreciated that the data received by the server is encoded and has a patient identification.
It should be noted that, the acquisition end encodes and transmits the detection result of the patient, so that the transmission security can be improved and the privacy of the patient can be protected.
In one embodiment, the static detection result is collected as one image frame and the dynamic detection result is collected as a plurality of consecutive image frames.
102, distributing the coded data according to a preset distribution rule so as to be used for diagnosis at a diagnosis end;
the preset distribution rule can be a diagnosis end distributed to each department or can be sent to a designated part of diagnosis ends.
Preferably, before the encoded data is generated according to a detection result of at least one part of the body, the encoded data is distributed according to a preset distribution rule for a diagnosis end to perform diagnosis, the method further includes:
copying the coded data to generate a plurality of copied coded data;
and distributing the copied multiple copies of coded data according to a preset distribution rule so as to be used for diagnosis at a diagnosis end.
For example, in the case that a patient is in a coma in a car accident and is uncertain of where to hurt the patient, the coded data of the patient can be distributed to the corresponding diagnosis end of each department by a processing center (server); in the case where the patient has only a leg trauma, the patient's coded data can be assigned by the processing center (server) to be distributed to the diagnostic end of bone surgery and the diagnostic end of general surgery.
Preferably, before the encoded data is generated according to the detection result of the whole body and is distributed according to a preset distribution rule for the diagnosis end to perform diagnosis, the method further includes:
dividing the coded data according to departments to generate divided coded data;
and distributing the segmented coded data according to a preset distribution rule and a corresponding department for diagnosis at a diagnosis end.
For example, if the whole-body detection result is a whole-body 3D-CT image, the 3D-CT image may be segmented into a brain, a trunk, a heart and lung, a liver, a bone, and the like, and the segmented brain CT image may be transmitted to a diagnosis end of a brain surgery, the segmented heart and lung CT image may be transmitted to a cardiovascular department, the segmented liver CT image may be transmitted to a renal medicine, the segmented bone CT image may be transmitted to a bone surgery, and the like; thus, doctors in each department can check the corresponding CT images through the diagnosis end so as to diagnose patients.
It should be noted that the processing center (server) may record a corresponding relationship between the acquisition end identifier corresponding to the acquisition end and the patient identifier carried in the encoded data, where the acquisition end identifier is used to uniquely identify one acquisition end.
For example, the acquisition end with the acquisition end identifier a sends encoded data to the processing center (server), and the patient identifier carried by the encoded data is 1, so that the processing center (server) stores the corresponding relationship between the acquisition end identifier a and the patient identifier 1.
And 103, judging whether a consultation group needs to be established for consultation according to the diagnosis result.
In one embodiment, the diagnosis end decodes the received coded data and displays the detection result obtained after decoding to a doctor; the doctor judges whether the patient possibly has diseases in the treatment range of the doctor according to the detection result;
if the patient is determined to have possible diseases in the treatment range of the patient, whether the diagnosis result can be directly obtained is judged:
if the diagnosis result can not be directly obtained, making a first mark which is diagnosed and is to be further detected in a feedback area corresponding to the detection result, and filling a suspected diagnosis result in the feedback area;
if the diagnosis result can be directly obtained, a diagnosed and diagnosed second mark is made in a feedback area corresponding to the detection result, and the diagnosis result is filled in the feedback area.
And if the patient is determined not to have the disease in the treatment range of the patient, a third mark which is diagnosed and has no problem is made in a feedback area corresponding to the detection result.
It should be noted that the diagnosis end can control the acquisition end through the backward channel, specifically, the doctor writes the identification and the diagnosis result in the feedback area of the diagnosis end; and the diagnosis end encrypts the identifier and the diagnosis result in the feedback area, sends the encrypted data to the acquisition end through the reverse control channel, and writes the encrypted data into the feedback area of the acquisition end. Medical staff at the acquisition end can acquire diagnosis results of doctors or doctors from the feedback area so as to carry out treatment such as operation on patients according to the diagnosis results at the diagnosis end.
In one embodiment, if the diagnosis result comprises the first identifier, determining that a consultation group needs to be established for consultation; wherein the first identifier is used for indicating that the diagnosis result is diagnosed and is to be further detected. Wherein. The consultation team comprises a plurality of diagnosis terminals.
In this embodiment, the server may set a consultation order, so that the diagnosis end in the consultation team controls the acquisition end according to the consultation order, so that the diagnosis end sends a message describing the condition of the patient or guides the operation.
For example, as shown in fig. 5, the consultation team includes a diagnosis end a for bone surgery, a diagnosis end B for brain surgery, and a diagnosis end C for cardiovascular surgery, the consultation sequence set by the processing center (server) is the diagnosis end B, the diagnosis end C, and the diagnosis end a, the doctor at the acquisition end needs to perform an operation on the patient, and the diagnosis end B, the diagnosis end a, and the diagnosis end C can all see the operation real-time screen of the acquisition end, but the diagnosis end B, the diagnosis end a, and the diagnosis end C cannot have a direction control right for the acquisition end at the same time, but reversely control the acquisition end according to the set sequence.
Firstly, the doctor who sets the diagnosis terminal B at the acquisition terminal has the reverse control right to the acquisition terminal, the doctor at the acquisition terminal performs the operation on the brain of the patient firstly, in the operation process, the doctor at the diagnosis terminal B can perform circle painting on the operation real-time picture acquired by the acquisition terminal through the reverse control channel and perform voice communication with the doctor at the acquisition terminal through the voice channel, and after the brain operation is completed, the acquisition terminal stops the reverse control right of the diagnosis terminal B.
And then, the doctor at the diagnosis end C is set at the acquisition end to have the reverse control right to the acquisition end, the doctor at the acquisition end performs the operation on the heart of the patient firstly, the doctor at the diagnosis end C can perform circle painting on the operation real-time picture acquired by the acquisition end through the reverse control channel in the operation process and perform voice communication with the doctor at the acquisition end through the voice channel, and the acquisition end stops the reverse control right of the diagnosis end C after the brain operation is completed.
And finally, the doctor who sets the diagnosis end A at the acquisition end has the reverse control right to the acquisition end, the doctor at the acquisition end performs the operation on the legs of the patient firstly, the doctor at the diagnosis end A can perform circle painting on the operation real-time picture acquired by the acquisition end through the reverse control channel in the operation process, voice communication is performed with the doctor at the acquisition end through the voice channel, and the acquisition end stops the reverse control right of the diagnosis end A after the brain operation is completed.
Therefore, the doctor at the acquisition end can complete the whole operation on the patient under the guidance of the doctor at each diagnosis end. Moreover, the acquisition end can record the operation process and the guiding process of doctors of all diagnosis ends so as to facilitate the later examination and study of the operation process.
It should be noted that the voice channel between the diagnosis end and the acquisition end can be set independently according to the requirements of the user.
In one embodiment, if the diagnosis result comprises the second identifier or the third identifier, determining that a consultation group is not required to be set; the second mark is used for indicating that the diagnosis result is diagnosed and has no problem, and the third mark is used for indicating that the diagnosis result is diagnosed and has been diagnosed.
Fig. 2 is a diagram of a consultation apparatus according to an embodiment of the disclosure, and as shown in fig. 2, the consultation apparatus includes an obtaining module 201, a distributing module 202, and a determining module 203; the acquiring module 201 is configured to acquire encoded data; the distribution module 202 is configured to distribute the encoded data according to a preset distribution rule, so that a diagnosis end performs diagnosis; the judging module 203 is configured to judge whether a consultation team needs to be established for consultation according to the diagnosis result.
Fig. 3 is a diagram of a consultation apparatus according to an embodiment of the disclosure, and as shown in fig. 3, the consultation apparatus includes an obtaining module 301, a copying module 302, a distributing module 303, and a determining module 304. The copying module 302 is configured to copy the encoded data to generate multiple copies of the encoded data after copying.
Fig. 4 is a diagram of a consultation apparatus according to an embodiment of the disclosure, and as shown in fig. 4, the consultation apparatus includes an obtaining module 401, a dividing module 402, a distributing module 403, and a determining module 404. The dividing module 402 is configured to divide the encoded data according to departments, and generate divided encoded data.
Fig. 5 is a diagram of a consultation system according to an embodiment of the disclosure, and as shown in fig. 5, the system includes:
a processing center 501, and a plurality of acquisition terminals 502 and a plurality of diagnosis terminals 503 connected to the server; wherein the content of the first and second substances,
the acquisition end 502 is used for acquiring the detection result of the medical detection machine on the patient, encoding the detection result to generate encoded data and sending the encoded data to the processing center 501;
the diagnosis end 503 is configured to decode the received encoded data, generate a reply message according to the identifier in the detection result feedback area and the diagnosis result, encrypt the reply message, and send the encrypted reply message to the acquisition end 502;
the processing center 501 is configured to distribute the received encoded data to the diagnosis end 503 according to a preset rule, and determine whether a consultation team needs to be established according to the reply message.
Here, the processing center 501 in fig. 5 corresponds to a server in the present disclosure.
Illustratively, the acquisition end 502 includes an acquisition end a, an acquisition end B … acquisition end N; the diagnostic end 503 comprises a diagnostic end A, a diagnostic end B … and a diagnostic end N.
In one embodiment, the acquisition end is connected with a medical detection machine, and acquires a static detection result as one frame and acquires a dynamic detection result as a plurality of continuous image frames according to a detection result displayed by the medical detection machine.
In the embodiment of the disclosure, through remote medical treatment, a patient can be diagnosed timely and comprehensively by excellent doctors in different departments in other places, and doctors in related departments can be called up to perform consultation through a network.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (10)
1. A method of consultation, characterized in that it comprises:
acquiring coded data, wherein the coded data are acquired by acquiring and coding the detection result of the medical detection machine on the patient through an acquisition end;
distributing the coded data according to a preset distribution rule for diagnosis at a diagnosis end;
and judging whether a consultation group needs to be established for consultation according to the diagnosis result.
2. The method according to claim 1, wherein when the coded data is generated according to the detection result of at least one part of the body, the coded data is distributed according to a preset distribution rule for the diagnosis end to perform diagnosis, and the method further comprises:
copying the coded data to generate a plurality of copied coded data;
said distributing said encoded data comprises:
and distributing the copied multiple copies of coded data respectively.
3. The method according to claim 1, wherein when the encoded data is generated according to the detection result of the whole body, and before the encoded data is distributed according to a preset distribution rule for the diagnosis end to perform the diagnosis, the method further comprises:
dividing the coded data according to departments to generate divided coded data;
said distributing said encoded data comprises:
and distributing the segmented coded data according to the corresponding departments.
4. The method of claim 1, wherein determining whether a consultation team needs to be established for consultation according to the diagnosis result comprises:
if the diagnosis result contains the first identification, determining that a consultation group needs to be established for consultation; wherein the first identifier is used for indicating that the diagnosis result is diagnosed and is to be further detected.
5. The method of claim 4, further comprising:
and setting a consultation sequence, so that a diagnosis end in the consultation group controls the acquisition end according to the consultation sequence, and the diagnosis end sends instructions on the state of illness of the patient or guides the operation.
6. The method of claim 1, wherein determining whether a consultation team needs to be established for consultation according to the diagnosis result comprises:
if the diagnosis result contains the second identifier or the third identifier, determining that a consultation group is not required to be set; the second mark is used for indicating that the diagnosis result is diagnosed and has no problem, and the third mark is used for indicating that the diagnosis result is diagnosed and has been diagnosed.
7. The method of claim 5, wherein a patient identification is added to the coded data, the patient identification corresponding to the patient.
8. A consultation device, characterized in that it comprises:
the acquisition module acquires coded data, wherein the coded data are obtained by acquiring and coding the detection result of the medical detection machine on the patient through the acquisition end;
the distribution module distributes the coded data according to a preset distribution rule so as to be used for diagnosis at a diagnosis end;
and the judging module judges whether a consultation group needs to be established for consultation according to the diagnosis result.
9. A consultation system, characterized in that it comprises:
the system comprises a server, a plurality of acquisition terminals and a plurality of diagnosis terminals, wherein the acquisition terminals and the diagnosis terminals are connected with the server; wherein the content of the first and second substances,
the acquisition end is used for acquiring the detection result of the medical detection machine on the patient, encoding the detection result to generate encoded data and sending the encoded data to the server;
the diagnosis end is used for decoding the received coded data, generating a reply message according to the identification in the detection result feedback area and the diagnosis result, encrypting the reply message and sending the encrypted reply message to the acquisition end;
and the server is used for distributing the received coded data to the diagnosis end according to a preset rule and determining whether a consultation group needs to be established or not according to the reply message.
10. The consultation system according to claim 9, wherein the acquisition terminal is connected to a medical examination machine, and acquires a static examination result as one frame and a dynamic examination result as a plurality of consecutive image frames according to the examination result displayed by the medical examination machine.
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