CN117174275A - Processing system and method for medical equipment user feedback information - Google Patents
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Abstract
The embodiment of the specification discloses a processing method, a processing system and a computer readable storage medium for medical equipment user feedback information. The method comprises the following steps: providing a user feedback portal on a medical device interface; receiving user feedback information sent by a terminal device based on the user feedback inlet, wherein the user feedback information is generated based on a collection system of fine granularity classification; classifying the user feedback information; determining service feedback information based on the classification result; and sending the service feedback information to the terminal equipment.
Description
Technical Field
The present disclosure relates to the field of medical devices, and in particular, to a method and system for processing feedback information of a user of a medical device.
Background
Currently, medical devices have been widely used for diagnosis and treatment of diseases. For example, an ultrasound device may apply ultrasound detection techniques to the human body to provide cues or guidelines for finding a disease by measuring data and morphology that is known about physiology or tissue structure. When a problem occurs in the use process of the medical equipment, a user generally needs to contact after-sales personnel in a telephone or mailbox mode, and in the telephone or mail, the user needs to completely describe multiple items of information such as a user name, an address where the user is located, a device model, the problem needing feedback and the like, so that the time cost is high for the user, and the communication efficiency is low. In addition, the user's description of the problem directly affects the understanding and processing efficiency of the problem by after-market personnel, and may cause a problem of low maintenance efficiency due to information asymmetry.
Therefore, it is necessary to provide a more efficient user feedback information processing method and system, so as to facilitate the user to quickly feed back the problem, improve the problem feedback and processing efficiency, and improve the user experience.
Disclosure of Invention
One of the embodiments of the present disclosure provides a method for processing feedback information of a user of a medical device. The method comprises the following steps: providing a user feedback portal on a medical device interface; receiving user feedback information sent by a terminal device based on the user feedback inlet, wherein the user feedback information is generated based on a collection system of fine granularity classification; classifying the user feedback information; determining service feedback information based on the classification result; and sending the service feedback information to the terminal equipment.
One of the embodiments of the present disclosure provides a processing system for user feedback information of a medical device. The system includes a user feedback portal generation module for providing a user feedback portal on a medical device interface; the receiving module is used for receiving user feedback information sent by the terminal equipment based on the user feedback inlet, wherein the user feedback information is generated based on a collection system of fine granularity classification; the classification module is used for classifying the user feedback information; a determining module, configured to determine service feedback information based on the classification result; and the feedback module is used for sending the service feedback information to the terminal equipment.
One of the embodiments of the present disclosure provides a computer-readable storage medium storing computer instructions that, when read by a computer, perform a method for processing medical device user feedback information according to any of the embodiments.
Drawings
The present specification will be further elucidated by way of example embodiments, which will be described in detail by means of the accompanying drawings. The embodiments are not limiting, in which like numerals represent like structures, wherein:
FIG. 1 is a schematic illustration of an application scenario of an exemplary user feedback information handling system shown in accordance with some embodiments of the present description;
FIG. 2 is a block diagram of an exemplary fine-grained classification collection system shown in accordance with some embodiments of the disclosure;
FIG. 3 is an exemplary flow chart of a user feedback information processing method according to some embodiments of the present description;
FIG. 4 is an exemplary flow chart of a method of automatically generating user feedback information according to some embodiments of the present description;
fig. 5 is a block diagram of an exemplary processing device shown in accordance with some embodiments of the present description.
Detailed Description
In order to more clearly illustrate the technical solutions of the embodiments of the present specification, the drawings that are required to be used in the description of the embodiments will be briefly described below. It is apparent that the drawings in the following description are only some examples or embodiments of the present specification, and it is possible for those of ordinary skill in the art to apply the present specification to other similar situations according to the drawings without inventive effort. Unless otherwise apparent from the context of the language or otherwise specified, like reference numerals in the figures refer to like structures or operations.
It will be appreciated that "system," "apparatus," "unit" and/or "module" as used herein is one method for distinguishing between different components, elements, parts, portions or assemblies of different levels. However, if other words can achieve the same purpose, the words can be replaced by other expressions.
As used in this specification and the claims, the terms "a," "an," "the," and/or "the" are not specific to a singular, but may include a plurality, unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that the steps and elements are explicitly identified, and they do not constitute an exclusive list, as other steps or elements may be included in a method or apparatus.
A flowchart is used in this specification to describe the operations performed by the system according to embodiments of the present specification. It should be appreciated that the preceding or following operations are not necessarily performed in order precisely. Rather, the steps may be processed in reverse order or simultaneously. Also, other operations may be added to or removed from these processes.
For a better understanding of the processing system and/or method of user feedback information, the following description will be based on user feedback information related to a medical device. It should be noted that the following description based on user feedback information related to the medical device is not intended to limit the scope of the present description. For one of ordinary skill in the art, the systems and methods disclosed herein may be applied to any other system and/or device that requires collecting and/or feeding back data and/or information.
FIG. 1 is a schematic illustration of an application scenario of an exemplary user feedback information handling system according to some embodiments of the present description. As shown in FIG. 1, user feedback information handling system 100 may include a medical device 110, a processing device 120, a network 130, a storage device 140, and a terminal 150. In some embodiments, medical device 110, processing device 120, network 130, storage device 140, and terminal 150 may be connected to and/or communicate with each other by wired and/or wireless means.
Medical device 110 may include devices and components for medical diagnosis and/or treatment. In some embodiments, the device may comprise a radiation therapy device. The radiation therapy device can apply therapeutic radiation to at least a portion of the target region to deliver radiation therapy. In some embodiments, the medical device 110 may include an imaging device. For example only, the imaging device may include an ultrasound imaging device. The ultrasound imaging device may be used to perform scanning of a subject for diagnostic imaging. Ultrasound imaging devices may be used to view image information of internal body tissue of a subject to assist a physician in disease diagnosis. An ultrasound imaging device may transmit higher frequency sound waves (e.g., ultrasound waves) to a subject through a probe to produce an ultrasound image. In some embodiments, the object may include a biological object and/or a non-biological object. For example, the object may comprise a specific part of a human body, such as the neck, chest, abdomen, etc., or a combination thereof. For another example, the object may be a patient to be scanned by the ultrasound imaging apparatus. In some embodiments, the ultrasound image may include at least one of a brightness mode (B-mode) image, a color mode (C-mode) image, a motion mode (M-mode) image, a doppler mode (D-mode) image, and an elastographic mode (E-mode) image. In some embodiments, the ultrasound image may comprise a two-dimensional (2D) image or a three-dimensional (3D) image. In some embodiments, the ultrasound imaging device may be used for data acquisition, processing and/or output, positioning, etc. functions. The ultrasound imaging device may contain one or more sub-function devices (e.g., a single sensing device or a sensing system device made up of multiple sensing devices). In some embodiments, the ultrasound imaging device may include, but is not limited to, an ultrasound transmitting unit (e.g., including an ultrasound transducer, etc.), an ultrasound imaging unit, a radio frequency sensing unit, an NFC communication unit, an image acquisition unit, an image display unit, an audio output unit, etc., or any combination thereof. By way of example, the ultrasound imaging unit may be used for processing of received signals, including ultrasound transmission, ultrasound reception, mixed wave beamforming, filtering, demodulation, beam forming, mixed wave echo data compounding operations, and the like, as may be involved in the ultrasound imaging procedure. For example, the image display unit may be used to optimize the display of the imaged image.
In some embodiments, medical device 110 may send data and/or information to processing device 120, storage device 140, and/or terminal device 150 over network 130 for further processing. For example, the medical device 110 may send the medical image to the terminal device 150 for display. For another example, the medical device 110 may automatically generate user feedback information based on usage information of the medical device 110, hardware parameter information, etc., and send the user feedback information to the processing device 120 or the terminal device 150.
Processing device 120 may process data and/or information obtained from medical device 110, storage device 140, and/or terminal 150. For example, the processing device 120 may process imaging data acquired from the medical device 110 and generate an image. For another example, the processing device 120 may receive and categorize user feedback information sent by the medical device 110 or the terminal device 150. Processing device 120 may also determine service feedback information and feedback based on the classification results and/or the user feedback information. In some embodiments, processing device 120 may include one or more sub-processing devices (e.g., single-core processing devices or multi-core processing devices). By way of example only, the processing device 120 may include a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), an Application Specific Instruction Processor (ASIP), a Graphics Processor (GPU), a Physical Processor (PPU), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), an editable logic circuit (PLD), a controller, a microcontroller unit, a Reduced Instruction Set Computer (RISC), a microprocessor, or the like, or any combination thereof.
In some embodiments, the processing device 120 may be included in the medical device 110, the terminal 150, and possibly other system components. For example, the processing device 120 or functional modules that enable the functionality of the processing device 120 may be integrated into the medical device 110, the terminal 150, and possibly other system components.
Network 130 may include any suitable network that may facilitate the exchange of information and/or data by a user feedback information handling system 100. In some embodiments, one or more components of user feedback information handling system 100 (e.g., medical device 110, processing device 120, storage device 140, or terminal 150) may connect and/or communicate with other components of user feedback information handling system 100 through network 130. For example, the processing device 120 may obtain medical imaging data from the medical device 110 via the network 130. For another example, processing device 120 may obtain user feedback information from medical device 110 or terminal 150 via network 130. In some embodiments, the network 130 may be any form of wired or wireless network, or any combination thereof. In some embodiments, the network 130 may be any one or more of a wired network or a wireless network. For example, the network 130 may include a cable network, a fiber-optic network, a telecommunications network, the internet, a Local Area Network (LAN), a Wide Area Network (WAN), a Wireless Local Area Network (WLAN), a Metropolitan Area Network (MAN), a Public Switched Telephone Network (PSTN), a bluetooth network, a ZigBee network, a Near Field Communication (NFC), an intra-device bus, an intra-device line, a cable connection, and the like, or any combination thereof. The network connection between the parts can be in one of the above-mentioned ways or in a plurality of ways. In some embodiments, the network may be a point-to-point, shared, centralized, etc. variety of topologies or a combination of topologies. In some embodiments, network 130 may include one or more network access points. For example, network 130 may include wired or wireless network access points, such as base stations and/or network switching points, through which one or more components of user feedback information handling system 100 may connect to network 130 to exchange data and/or information.
The storage device 140 may store data and/or instructions. In some embodiments, storage device 140 may store data obtained from terminal 150 and/or processing device 120. For example, the storage device 140 may store user feedback information obtained from the medical device 110 or the terminal 150. In some embodiments, storage device 140 may store data and/or instructions that processing device 120 may perform or be used to perform the exemplary methods described in this specification. For example, the storage device 140 may store a service feedback information database. Upon receiving the user feedback information, the processing device 120 may retrieve the service feedback information database based on the classification result of the user feedback information and/or the user feedback information, thereby determining the service feedback information. In some embodiments, storage device 140 may be connected to network 130 to communicate with one or more components of user feedback information handling system 100 (e.g., processing device 120, terminal 150, etc.). One or more components of user feedback information handling system 100 may access data or instructions stored in storage device 140 via network 130. In some embodiments, storage device 140 may be directly connected to or in communication with one or more components of user feedback information handling system 100 (e.g., processing device 120, terminal 150, etc.). In some embodiments, the storage device 140 may be part of the processing device 120.
Terminal 150 may include a mobile device 151, a tablet 152, a laptop 153, etc., or any combination thereof. In some embodiments, terminal 150 may remotely operate medical device 110. In some embodiments, terminal 150 may operate medical device 110 via a wireless connection. In some embodiments, terminal 150 may receive information and/or instructions entered by a user and transmit the received information and/or instructions to medical device 110 or processing device 120 via network 130. For example, terminal 150 may enter the collection system for fine-grained classification by triggering a user feedback portal (e.g., scanning a two-dimensional code) provided on the medical device interface. The user may select or input user feedback information via terminal 150 based on the fine-grained classification collection system. Terminal 150 may receive the user feedback information and send it to processing device 120. In some embodiments, terminal 150 may receive data and/or information from processing device 120. For example, processing device 120 may determine service feedback information based on the received user feedback information and send to terminal 150.
It should be noted that the above description is provided for illustrative purposes only and is not intended to limit the scope of the present description. Many variations and modifications will be apparent to those of ordinary skill in the art, given the benefit of this disclosure. The features, structures, methods, and other features of the exemplary embodiments described herein may be combined in various ways to obtain additional and/or alternative exemplary embodiments. However, such changes and modifications do not depart from the scope of the present specification.
FIG. 2 is a block diagram of an exemplary fine-grained classification collection system shown according to some embodiments of the specification. In some embodiments, fine-grained classification collection system 200 may be included as part of user feedback information handling system 100. In some embodiments, the fine-grained classification-based collection system 200 may be used to generate user feedback information. For example, the user feedback information may be generated by a terminal device (e.g., terminal 150) based on the fine-grained classification collection system 200 and sent to the processing device 120 of the user feedback information processing system 100. The fine-grained classification collection system, as shown in FIG. 2, may include a user feedback entry 210, a fast feedback channel 220, and a detailed feedback channel 230. In some embodiments, at least a portion of the fine-grained classification collection system 200 may be displayed on a medical device (e.g., medical device 110) and/or on a terminal device. For example, user feedback entry 210 may be displayed on a medical device and fast feedback channel 220 and detailed feedback channel 230 may be displayed on a terminal device. As another example, the user feedback portal 210, the quick feedback channel 220, and the detailed feedback channel 230 may all be displayed on a medical device or terminal device.
The user feedback portal 210 may be used to provide a user (e.g., an operator of the medical device 110) with access to the fine-grained classification collection system 200. In some embodiments, the user feedback portal 210 may be provided by a medical device (e.g., medical device 110). For example, the user feedback portal 210 may be displayed on an interface of the ultrasound imaging device. In some embodiments, the user feedback portal 210 may include a variety of forms, such as text, images, and/or speech. For example, the user feedback portal 210 may include a two-dimensional code that may be displayed in an appropriate location on the ultrasound imaging device interface (e.g., above the interface, at an interface corner, on an interface pop-up, etc.). The user may enter the collection system 200 for fine-grained classification by scanning the two-dimensional code using a terminal device (e.g., an application or component on the terminal device). For another example, the user feedback portal 210 may include a validation code displayed on an interface of the ultrasound imaging device that the user may enter on the terminal device into the fine-grained classification collection system 200. For another example, the user feedback portal 210 may include operating buttons on an ultrasound imaging device interface. After the user clicks the operation button, the terminal device may be triggered (e.g., by wireless communication) to enter the collection system 200 for fine-grained classification. In some embodiments, the user feedback portal 210 may be provided by the terminal device. For example, the user feedback portal 210 may include an application installed at the terminal device, and the user may enter the fine-grained classification collection system 200 by clicking on the application.
In some embodiments, the terminal device may be tied or associated with the medical device through the user feedback portal 210. For example, the user may scan the two-dimensional code on the interface of the ultrasonic imaging apparatus using the terminal apparatus to download an application corresponding to the collection system 200 of fine-grained classification, and complete registration and binding or association operations when the application is first used. When a problem is encountered during use of the medical device, a user may feed back the problem by scanning the two-dimensional code into the fine-grained classification collection system 200. In some embodiments, after the problem is fed back by the user, the problem processing progress can be tracked in real time by scanning the two-dimensional code, so that convenience in information acquisition is improved, and user experience is improved.
A fast feedback channel 220 may be used to quickly generate the user feedback information. In some embodiments, the fast feedback channel 220 may be a default channel. For example, after scanning the two-dimensional code, the terminal device may enter the interface corresponding to the fast feedback channel 220 by default. In some embodiments, as shown in fig. 2, the fast feedback channel 220 may include a first layer granularity information collection unit 221, a second layer granularity information collection unit 222, and a third layer granularity information collection unit 223.
The first layer granularity information collection unit 221 may be configured to collect first layer granularity information, which may be used to feed back basic information related to the medical device and/or the user. In some embodiments, the first layer granularity information may include medical device information, user information, or service information, among others. Medical device information refers to information related to hardware or software of a medical device, etc., and exemplary medical device information may include information related to a model number, hardware configuration, product serial number, software version, etc. of the medical device. User information refers to information related to a user of a medical device, and exemplary user information may include information related to an address, contact phone, mailbox address, etc. where the user or device is located. The service information refers to information related to maintenance service of the equipment. Exemplary service information may include information related to device age, warranty period, maintenance history, and the like. In some embodiments, an interface corresponding to the first-layer granularity information collection unit 221 may be displayed on the terminal device, and the interface may include an input component. Exemplary input components may include text entry boxes, drop down menus, selection buttons, and the like, or any combination thereof. The user may input and/or select the first layer granularity information to be fed back through the input component. Alternatively or additionally, the user may also input the first layer granularity information to be fed back by means of speech, electroencephalogram, etc. In some embodiments, the first layer granularity information may be associated with the user feedback entry 210. For example, after a user first enters the collection system 200 for fine-grained classification and enters first-tier granularity information, the first-tier granularity information may be associated with a two-dimensional code. The first layer granularity information may be automatically displayed on the interface of the user terminal device when the user again scans the code into the collection system 200 of fine granularity classification. Alternatively or additionally, the user may also confirm, modify, or supplement the automatically displayed first tier granularity information. For another example, when the user scans the code again into the fine-granularity classified collection system 200, the first-layer granularity information collection unit 221 may automatically collect the first-layer granularity information that the user has filled in and automatically jump to the second-layer granularity information collection unit 222. In some embodiments, the first layer granularity information collection unit 221 may also automatically obtain the first layer granularity information. For example, as described above, the terminal device may be tied or associated with the medical device through the user feedback portal 210. Thus, upon entering the collection system 200 for fine-grained classification, the first-layer granularity information collection unit 221 may automatically obtain information (e.g., user information, service information, etc.) filled in by the user at registration and/or information related to the medical device (e.g., medical device information). In some embodiments, the first layer granularity information automatically acquired by the first layer granularity information collecting unit 221 may be automatically displayed on an interface of the user terminal device, which may be confirmed, modified, or supplemented by the user.
The second layer granularity information collection unit 222 may be configured to collect second layer granularity information, which may be used to define a type of problem that needs feedback. In some embodiments, the second layer granularity information may include feedback type information. The feedback type information may include information related to hardware problems, software problems, image problems, etc. Hardware problems may include problems related to the hardware of the medical device (e.g., probe of an ultrasound imaging device, display screen, etc.). Software problems may include problems associated with the software of the medical device, such as software failures, program errors, and the like. The image problems may include problems associated with image display of the medical device, such as image sharpness problems, image artifact problems, problems associated with scanning sites in the image, and the like. In some embodiments, an interface corresponding to the second-layer granularity information collection unit 222 may be displayed on an interface of the terminal device, which may include an input component. The user can select the second layer granularity information to be fed back through the input component. For example only, the interface may include a two-level drop-down menu, where a first level drop-down menu may be used to select a question type (e.g., a hardware question) and a second level drop-down menu may be used to select a particular question (e.g., a probe).
The third layer granularity information collecting unit 223 may be configured to collect third layer granularity information. In some embodiments, the third layer granularity information may include feedback detail information. The feedback details information may be used to describe specific details of the problem that requires feedback. In some embodiments, an interface corresponding to the third layer granularity information collection unit 223 may be displayed on the terminal device, and the interface may include an input component. The user may select the third layer granularity information to be fed back through the input component. For example only, the interface may include a two-level drop-down menu, where a first level of drop-down menu may be used to select a question detail (e.g., a transmitter of the probe) and a second level of drop-down menu may be used to select a specific description of the question detail (e.g., inability to transmit ultrasound).
In some embodiments, at least two of the first layer granularity information, the second layer granularity information, and the third layer granularity information may be associated with each other. For example only, the fine-grained classification collection system 200 may determine alternative second-tier granularity information and/or third-tier granularity information based on user input and/or selected first-tier granularity information. For example, when the model of the medical device collected by the first-layer granularity information collection unit 221 is an ultrasound device, the hardware problem in the alternative second-layer granularity information may include a problem (e.g., a probe) related to the hardware of the ultrasound device. Further, when the type of problem collected by the second-layer granularity information collection unit 222 is "hardware problem-probe", the optional third-layer granularity information may include a detailed description related to the probe (e.g., the transmitter of the probe cannot transmit ultrasonic waves, the receiver cannot receive ultrasonic waves, etc.). For another example, when the type of medical device collected by the first layer granularity information collecting unit 221 is an ultrasound device and the type of problem collected by the second layer granularity information collecting unit 222 is an image problem, the optional third layer granularity information may include a detailed description related to the ultrasound image.
Based on the fast feedback channel 220, the user can fast input and/or select the problem needing feedback on the terminal device, without inputting more text descriptions, thereby improving the efficiency and convenience of problem feedback. Further, the terminal device may generate and transmit user feedback information to the processing device 120 of the user feedback information handling system 100 based on user input and/or selection. The processing device 120 may classify the user feedback information, so that the problem may be quickly located and the service feedback information may be determined, thereby simplifying the problem processing procedure and improving the efficiency of problem processing and feedback. In some embodiments, if the user cannot determine a problem that requires feedback based on the fast feedback channel 220, the user may also choose to enter the detailed feedback channel 230. For example, an entry (e.g., a jump button) corresponding to the detailed feedback channel 230 may also be displayed on the interface on the terminal device corresponding to the fast feedback channel 220. When the user cannot determine a problem that requires feedback based on the fast feedback channel 220, the portal may be triggered to enter the detailed feedback channel 230.
The detailed feedback channel 230 may be used to generate detailed descriptions related to the problem. In some embodiments, the user may customize the detailed description of the problems encountered in using the medical device through detailed feedback channel 230. For example, detailed feedback channel 230 may support text, image, audio, video, etc. input forms by which a user may input a description related to a problem and send the description as user feedback information to processing device 120 of user feedback information processing system 100, or a combination thereof.
Based on the detailed feedback channel 230, the user can input detailed description related to the problem on the terminal device, so that detailed and accurate user feedback information can be generated when the problem requiring feedback cannot be determined based on the fast feedback channel 220, and the situation that the user feedback information cannot be submitted when the problem cannot be described by the fast feedback channel 220 is avoided. In addition, the detailed feedback channel 230 can also help the user describe the problem more fully and clearly, and also enable the personnel providing the maintenance service to understand the problem accurately, so as to determine the service feedback information more accurately, and improve the efficiency of problem processing.
It should be noted that the above description of the fine-grained classification collection system 200 is provided for illustrative purposes only and is not intended to limit the scope of the present description. Various changes and modifications may be made by one of ordinary skill in the art in light of the description herein. However, such changes and modifications do not depart from the scope of the present specification. For example, the information collection unit in the fast feedback channel 220 may not be limited to the three-layer granularity described above. For example only, the fast feedback channel 220 may also include a fourth tier granularity information gathering unit. The fourth layer granularity information collecting unit may be used to collect information related to the importance level of the problem. The processing device 120 may classify the user feedback information based on the importance level, determine the order of problem handling or the level of resource allocation, etc. As another example, different types of medical devices may provide the same user feedback portal 210. Accordingly, the fine-grained classification collection system 200 may further comprise an information collection unit for collecting type information of the medical device after triggering the user feedback entry 210.
Fig. 3 is an exemplary flow chart of a user feedback information processing method according to some embodiments of the present description. In some embodiments, one or more operations in process 300 shown in FIG. 3 may be performed in user feedback information processing system 100 shown in FIG. 1. For example, the process 300 shown in FIG. 3 may be stored in the storage device 140 in the form of instructions and invoked and/or executed by the processing device 120. The operations in process 300 shown below are for illustrative purposes. It should be noted that process 300 may also be similarly implemented in terminal device 150. In some embodiments, process 300 may be accomplished by one or more additional operations not described and/or one or more operations not discussed. In addition, the order in which the operations of process 300 are illustrated in FIG. 3 and described below is not intended to limit the scope of the present description. As shown in fig. 3, the process 300 may include the following steps.
At step 310, a user feedback portal is provided on the medical device interface. In some embodiments, step 310 may be performed by processing device 120 (e.g., user feedback entry generation module 510). In some embodiments, the user feedback portal may include text, images, and/or speech in a variety of forms. For example, the user feedback portal may include a two-dimensional code, a validation code, an operation button, etc., displayed on an interface of the ultrasound imaging device.
In some embodiments, processing device 120 may generate the user feedback portal based on the type of medical device and/or the type of medical device interface. For example, the processing device 120 may obtain hardware parameters and/or software parameters of the medical device and determine a type of medical device and/or a type of the medical device interface based on the hardware parameters and/or software parameters, thereby generating the user feedback portal. Exemplary types of medical devices may include one or a combination of several of Computed Tomography (CT), emission Computed Tomography (ECT), X-ray photography, positron Emission Tomography (PET), and the like. Exemplary interface types for medical devices may include a power-on interface, a login interface, a scan interface, an image display interface, an image analysis interface, and so forth. Further, processing device 120 may cause the user feedback entry to be displayed on the medical device interface. For example, the user feedback portal may include a two-dimensional code that may be displayed in an appropriate location on the ultrasound imaging device interface (e.g., above the interface, at an interface corner, on an interface pop-up, etc.). As another example, the user feedback portal may include a verification code that the user may enter on the terminal device into a collection system of fine-grained classification. For another example, the user feedback portal may include an operating button on the ultrasound imaging device interface that the user may trigger the terminal device to enter the fine-grained classification collection system by clicking on. For another example, the user feedback portal may include an application installed on the terminal device, and the user may enter the collection system for fine-grained classification by clicking on the application.
In some embodiments, the user feedback entries corresponding to different types of medical devices may be the same or different. For example, two-dimensional codes corresponding to the CT apparatus and the ultrasound apparatus may be the same. The user may select or enter a device type on the interface of the terminal device after the code scanning to enter into the collection system of fine-grained classification. In some embodiments, the user feedback entries corresponding to different types of medical device interfaces may be the same or different. For example, two-dimensional codes corresponding to the scan interface and the image display interface may be different. After the code is scanned, the user can directly enter the corresponding granularity information collecting unit, and the information is not required to be collected from the first layer of granularity information collecting unit in sequence, so that the convenience and the efficiency of information collection are improved.
And 320, receiving user feedback information sent by the terminal equipment based on the user feedback entry. In some embodiments, step 320 may be performed by processing device 120 (e.g., receiving module 520).
In some embodiments, the user feedback information may be generated based on a collection system of fine-grained classifications. In connection with fig. 2 and the description thereof, fine-grained classification collection system 200 may include a fast feedback channel 220 and a detailed feedback channel 230. A fast feedback channel 220 may be used to quickly generate the user feedback information. The detailed feedback channel 230 may be used to generate detailed descriptions related to the problem. In some embodiments, to receive user feedback information sent by the terminal device based on the user feedback portal, the processing device 120 may provide the terminal device with a fast feedback channel 220 and/or a detailed feedback channel 230 based on the user feedback portal. For example, the user may trigger (e.g., by scanning a two-dimensional code) the user feedback entry using a terminal device. In response to the user feedback entry being triggered, the processing device 120 may provide a fast feedback channel 220 to the terminal device by default. Optionally, the processing device 120 may also provide the terminal device with options of both the fast feedback channel 220 and the detailed feedback channel 230, from which the user may select one to enter.
Further, the processing device 120 may receive user feedback information collected by the terminal device via the fast feedback channel 220 and/or the detailed feedback channel 230. In connection with fig. 2 and the description thereof, the fast feedback channel 220 may include a first layer granularity information collecting unit 221, a second layer granularity information collecting unit 222, and a third layer granularity information collecting unit 223. Accordingly, the user feedback information collected by the terminal device through the fast feedback channel 220 may include the first layer granularity information, the second layer granularity information, the third layer granularity information, etc., or any combination thereof. The first layer granularity information may include medical device information, user information, or service information. The medical device information refers to information related to hardware or software of the medical device, etc., such as information related to a model number, a hardware configuration, a product serial number, a software version, etc., of the medical device. User information refers to information related to a user of the medical device, such as information related to an address, contact phone, mailbox address, etc. where the user or device is located. The service information is information related to maintenance service of the equipment, for example, information related to the service life, warranty period, maintenance history, and the like of the equipment. The second layer granularity information may include feedback type information, such as information related to hardware problems, software problems, image problems, and the like. The third layer granularity information may include feedback detail information. The feedback details information may be used to describe specific details of the problem that requires feedback. The user feedback information collected by the terminal device through the detailed feedback channel 230 may include a detailed description of the customization of the problem encountered. The detailed feedback channel 230 may support text, image, audio, video, etc. input forms. Accordingly, the user feedback information collected by the detailed feedback channel 230 may be in the form of any of the inputs described above or a combination thereof.
In some embodiments, the processing device 120 may provide the fast feedback channel 220 to the terminal device by default. For example, the processing device 120 may recommend at least some of the first tier granularity information, the second tier granularity information, the third tier granularity information, or any combination thereof to the terminal device based on usage information of the medical device, hardware parameter information, sensor monitoring information, historical usage information, historical feedback information of other medical devices related to the medical device, content displayed by a medical device interface, or the like, or any combination thereof. The usage information of the medical device may include information such as a usage log generated during use of the medical device. The sensor monitoring information may include monitoring information obtained from sensors mounted on and/or connected to the medical device, which may be used to indicate the operational status of the medical device and its components and/or the status of the environment in which the medical device is located. The historical usage information may include historical repair or maintenance records for the current medical device, historical repair or maintenance records for other medical devices of the same model as the current medical device, and the like. The historical feedback information may include a historical feedback record of the current medical device. The historical feedback information for other medical devices associated with the medical device may include historical feedback records for other medical devices associated with the current medical device (e.g., of the same or similar model), and so forth. The content displayed by the medical device interface may include medical images and related information. For example only, information related to the medical image may include detection information related to image sharpness, image artifacts, scan structures or scan sites in the image, image analysis results, and the like. The processing device 120 may detect medical images displayed by the medical device interface and determine relevant information thereof based on image detection techniques. After recommending the first layer granularity information, the second layer granularity information, and/or the third layer granularity information to the terminal device, the user may select information to be fed back on an interface to the terminal device. In some embodiments, the first layer granularity information, the second layer granularity information, and/or the third layer granularity information recommended by the processing device 120 to the terminal device may be displayed directly on an interface of the terminal device (e.g., in an input text box of the interface), and the user may confirm or modify the recommended information. In some embodiments, any of the recommended first, second, or third tier granularity information may also include a plurality of options displayed in a drop-down menu for the user to select information to be fed back. Alternatively or additionally, the plurality of options may also be ordered based on information such as historical usage information. For example, processing device 120 may rank the plurality of options based on the number of times the plurality of options are selected in the historical usage information.
The first layer granularity information, the second layer granularity information and/or the third layer granularity information are recommended to the terminal equipment based on the medical image displayed by the medical equipment interface. When a user scans a two-dimensional code on a medical device interface, processing device 120 may detect the medical image and determine a problem present therein. Problems that may exist may include image sharpness anomalies, image artifact anomalies, questions about scanned structures or scanned locations in an image, questions about image analysis results, and so forth. For example, if the processing device 120 detects that a larger artifact region exists in the medical image, it may recommend that the second layer granularity information be an image problem and the third layer granularity information be an image artifact anomaly to the terminal device. For another example, when the processing device 120 detects that the medical device interface displays the image analysis result, it may recommend that the second layer granularity information is an image problem to the terminal device, and the third layer granularity information is a question of the image analysis result. The processing device 120 may use the historical diagnostic result corresponding to the current image analysis result (e.g., the same or similar historical image analysis result as the current image analysis result) as service feedback information by retrieving the global medical system (or service feedback information database) for reference by the user. In some embodiments, processing device 120 may automatically generate user feedback information based on the medical device usage information, hardware parameter information, sensor monitoring information, historical usage information, historical feedback information for other medical devices associated with the medical device, content displayed by a medical device interface, and the like, or any combination thereof, as described above. Further details regarding automatically generating user feedback information based on usage information of a medical device, hardware parameter information, sensor monitoring information, historical usage information, historical feedback information of other medical devices related to the medical device, content displayed by a medical device interface, etc., or any combination thereof, may be found in fig. 4 and related descriptions thereof, which are not repeated herein.
In some embodiments, the first layer granularity information, the second layer granularity information, and the third layer granularity information provided by the fast feedback channel 220 may not include information to be fed back by the user. At this time, the processing device 120 may provide the detailed feedback channel 230 to the terminal device so that the user inputs a detailed description of the feedback information in the terminal device.
Step 330, categorizing the user feedback information. In some embodiments, step 330 may be performed by processing device 120 (e.g., classification module 530).
In some embodiments, the processing device 120 may classify the user feedback information after semantic analysis based on natural language processing techniques. In some embodiments, processing device 120 may also classify user feedback information using a trained classification model. For example, the trained classification model may be pre-trained by a computing device (e.g., processing device 120) and stored in a storage device (e.g., storage device 140) of user feedback information processing system 100. Processing device 120 may access a storage device to obtain the trained classification model.
In some embodiments, the processing device 120 may categorize based on the first layer granularity information, the second layer granularity information, the third layer granularity information, or a combination thereof. For example, the processing device 120 may categorize the user feedback information by region (e.g., city, region, etc.), model number of the medical device, etc., based on the first layer granularity information. As another example, the processing device 120 may categorize the user feedback information by question type (e.g., hardware questions, software questions, image questions, etc.) based on the second tier granularity information. As another example, the processing device 120 may classify the user feedback information according to problem details (e.g., inability of the transmitter to transmit ultrasound waves, software error codes, image artifact problems, etc.) based on the third tier granularity information. In some embodiments, the processing device 120 may also classify the user feedback information into types that do not require manual processing, are not archived, etc., in order to determine service feedback information based on classification results and/or user feedback information. In some embodiments, the processing device 120 may quickly and accurately classify the user feedback information based on the first layer granularity information, the second layer granularity information, the third layer granularity information, or a combination thereof, so that service feedback information may be quickly determined based on the classification result and/or the user feedback information, thereby improving efficiency and accuracy of problem processing.
Step 340, determining service feedback information based on the classification result and/or the user feedback information. In some embodiments, step 340 may be performed by processing device 120 (e.g., determination module 540).
In some embodiments, processing device 120 may retrieve a service feedback information database based on the classification result and/or the user feedback information to determine the service feedback information. In some embodiments, the service feedback information database may be generated based on historical service information and stored in a storage device (e.g., storage device 140) of the user feedback information processing system 100. In some embodiments, the service feedback information database may include a mapping of classification results and/or user feedback information to one or more sets of service feedback information. For user feedback information that does not require manual processing, processing device 120 may determine one or more sets of service feedback information corresponding to the classification result and/or the user feedback information from a service feedback information database (e.g., one or more sets of service feedback information corresponding to the classification result that is the same as or similar to the current classification result in a service feedback information database, and one or more sets of service feedback information corresponding to the user feedback information that is the same as or similar to the current user feedback information in a service feedback information database). For example, the service feedback information may include a repair algorithm or program for resolving software error codes. When the user feedback information (or classification result) is a software problem-software error code, the processing device 120 may obtain the repair code or program from the service feedback information database and as service feedback information. As another example, the service feedback information may include algorithms or programs for processing the medical image (e.g., image sharpness processing, image artifact processing, etc.). When the user feedback information (or the classification result) is an image problem-sharpness abnormality, the processing apparatus 120 may acquire an image sharpness processing code or program from the service feedback information database and serve as the service feedback information. As another example, the service feedback information may include historical diagnostic results corresponding to image analysis results of the medical image. When the user feedback information (or the classification result) is a software problem, which is a question about the image analysis result, the processing device 120 may acquire a history diagnosis result corresponding to the image analysis result (e.g., a history image analysis result identical or similar to the image analysis result) from the service feedback information database as the service feedback information.
In some embodiments, processing device 120 may determine a resource allocation based on the classification result and/or the user feedback information and use information related to the resource allocation as service feedback information. In some embodiments, processing device 120 may determine the resource allocation by retrieving a repair resource library. For user feedback information to be manually processed, processing device 120 may determine the corresponding service personnel from a service repository. For example, when the user feedback information (or classification result) is a city-a ultrasound imaging device-hardware problem-probe-transmitter-inability to transmit ultrasound, the processing device 120 may determine a probe transmitter serviceman located in the city-a ultrasound imaging device sector from a library of maintenance resources. Accordingly, the information related to the resource allocation may include information related to the service personnel, such as, for example, time to visit the door, contact, etc. The processing device 120 may use information related to resource allocation as service feedback information. In some embodiments, the user feedback information handling system may include or be associated with a resource allocation system. The processing device 120 determines a resource allocation and information related to the resource allocation by the resource allocation system.
In some embodiments, processing device 120 may enter the user feedback information and/or the classification result into the repository of requirements based on the classification result and/or the user feedback information. For example, processing device 120 may determine whether the user feedback information is not archived based on historical user feedback information. In response to determining that the user feedback information is not archived, processing device 120 may enter user feedback information and/or classification results into a repository of requirements. The manufacturer or the research staff of the medical equipment can make corresponding processing according to the user feedback information and/or the classification result in the demand library, and can send the processing progress or result to the terminal equipment through the user feedback information processing system.
And step 350, sending service feedback information to the terminal equipment. In some embodiments, step 350 may be performed by processing device 120 (e.g., feedback module 550).
In some embodiments, the processing device 120 may send the service feedback information to the terminal device by way of mail, sms, link, application message, etc.
In some embodiments, the processing device 120 may also send service feedback information to other devices. For example, the processing device 120 may also transmit service feedback information (a maintenance algorithm or program of a software error code) to the medical device and notify the terminal device of the transmission result. The user may directly process the service feedback information on the medical device. For another example, the processing device 120 may also send information about the resource allocation to a terminal device of a maintenance person.
It should be noted that the above description of the process 300 is for purposes of example and illustration only and is not intended to limit the scope of applicability of the present disclosure. Various modifications and changes to flow 300 will be apparent to those skilled in the art in light of the present description. However, such modifications and variations are still within the scope of the present description. In some embodiments, the process 300 may also include one or more other steps. In some embodiments, one or more steps of flow 300 may be omitted. For example, the medical device may automatically identify hardware, software, or image problems and send the automatically detected problems as user feedback information to the processing device 120. The processing device 120 may send the service feedback information directly to the medical device.
FIG. 4 is an exemplary flow chart of a method of automatically generating user feedback information according to some embodiments of the present description. In some embodiments, one or more operations in process 400 shown in FIG. 4 may be performed in user feedback information processing system 100 shown in FIG. 1. For example, the process 400 illustrated in FIG. 3 may be stored in the storage device 140 in the form of instructions and invoked and/or executed by the processing device 120. The operations in process 400 shown below are for illustrative purposes. It should be noted that process 400 may also be similarly implemented in terminal device 150. In some embodiments, process 400 may be accomplished by one or more additional operations not described and/or one or more operations not discussed. In addition, the order in which the operations of process 400 are illustrated in FIG. 4 and described below is not intended to limit the scope of the present description. In some embodiments, step 320 described in fig. 3 may be performed based on flow 400. In some embodiments, the process 400 may be performed by the processing device 120 (e.g., the receiving module 520). As shown in fig. 4, the flow 400 may include the following steps.
At step 410, association information is determined based on at least one of usage information of the medical device, hardware parameter information, sensor monitoring information, historical usage information, historical feedback information of other medical devices related to the medical device, or content displayed by a medical device interface.
The usage information of the medical device may include information such as usage logs generated during use of the medical device in connection with fig. 3 and the description thereof. In some embodiments, the processing device 120 may communicate with the medical device and obtain the usage information. The sensor monitoring information may include monitoring information obtained from sensors mounted on and/or connected to the medical device, which may be used to indicate the operational status of the medical device and its components and/or the status of the environment in which the medical device is located. In some embodiments, the processing device 120 may communicate with the sensor and obtain the sensor monitoring information. The historical usage information may include historical repair or maintenance records for the current medical device, historical repair or maintenance records for other medical devices of the same model as the current medical device, and the like. In some embodiments, the historical usage information may be stored in a storage device (e.g., storage device 140) of the user feedback information processing system 100. The processing device 120 may obtain the historical usage information from a storage device. The content displayed by the medical device interface may include medical images and related information. In some embodiments, the processing device 120 may communicate with the medical device and acquire content (e.g., medical images) displayed by the medical device interface. In some embodiments, the processing device 120 may also analyze the content displayed by the medical device interface to determine relevant information (e.g., image sharpness, image artifacts, scan structures or scan sites in the image, image analysis results, etc., relevant detection information).
In some embodiments, the processing device 120 may determine the association information based on usage information of the medical device, hardware parameter information, sensor monitoring information, historical usage information, historical feedback information of other medical devices related to the medical device, content displayed by a medical device interface, or the like, or any combination thereof. In some embodiments, the association information may be used to display fine-grained classification information as a recommendation on the terminal device to facilitate user determination of user feedback information. For example, the processing device 120 detects that the probe of the ultrasound imaging device is malfunctioning based on the sensor monitoring information, and accordingly, the associated information determined based on the sensor monitoring information may include information such as hardware problems-probe malfunctions. For another example, the processing device 120 detects that the ultrasonic imaging device of the same model has the highest probability of the problem that the probe transmitter cannot transmit ultrasonic waves based on the hardware parameter information, the history use information, and the like, and accordingly, the associated information determined based on the hardware parameter information, the history use information, and the like may include information of hardware problem-probe-transmitter-inability to transmit ultrasonic waves, and the like. For another example, the processing device 120 detects that the current ultrasound image is less sharp based on the content displayed by the medical device interface, and accordingly, the associated information determined based on the content displayed by the medical device interface may include information such as an image problem-image sharpness problem.
Step 420, associating the association information with the user feedback entry. For example, the user feedback portal may include a two-dimensional code, a validation code, an operation button, etc., displayed on an interface of the ultrasound imaging device. The processing device 120 may associate the association information with the user feedback entry described above.
And step 430, in response to the terminal device triggering the user feedback entry, the associated information is sent to the terminal device. For example, the user may trigger the user feedback entry using the terminal device to scan a two-dimensional code on an interface of the ultrasound imaging device, enter a validation code on the terminal device, click an operation button on the interface of the ultrasound imaging device, and the like. In response to the user feedback entry being triggered, the processing device 120 may send association information to the terminal device. For example, in response to the terminal device scanning the two-dimensional code, the processing device 120 may transmit the associated information of "hardware problem-probe-transmitter-inability to transmit ultrasonic waves" to the terminal device as recommended third-tier granularity classification information. The associated information may be displayed directly on the interface of the terminal device (e.g., in an input text box of the interface), and may be presented as a plurality of options in a drop-down menu of the interface for the user to select information to be fed back.
Step 440, receiving user feedback information generated by the terminal device based on the association information. In some embodiments, the associated information may be displayed in an input text box of the terminal device interface, and the user may receive or modify the displayed associated information and send the finally confirmed information to be fed back as user feedback information to the processing device 120.
According to the method for automatically generating the user feedback information, the processing device 120 can automatically detect problems based on the use information of the medical device, the hardware parameter information, the sensor monitoring information, the history use information, the history feedback information of other medical devices related to the medical device, the content displayed on the medical device interface and the like, so that the user feedback information can be quickly determined and recommended to the user, and the information feedback efficiency is improved.
It should be noted that the above description of the process 400 is for purposes of illustration and description only, and is not intended to limit the scope of applicability of the present disclosure. Various modifications and changes to flow 400 will be apparent to those skilled in the art in light of the present description. However, such modifications and variations are still within the scope of the present description. In some embodiments, the process 400 may also include one or more other steps. In some embodiments, one or more steps of flowchart 400 may be omitted. For example, step 420 may be omitted, and the processing device may determine association information and send the association information to the terminal device when the terminal device triggers the user feedback portal based on usage information of the medical device, hardware parameter information, sensor monitoring information, historical usage information, historical feedback information of other medical devices related to the medical device, historical feedback information of medical device interface displays, or the like, or any combination thereof.
Fig. 5 is a block diagram of an exemplary processing device shown in accordance with some embodiments of the present description. In some embodiments, as shown in fig. 5, processing device 120 may include a user feedback entry generation module 510, a reception module 520, a classification module 530, a determination module 540, and a feedback module 550.
The user feedback portal generation module 510 may be used to provide a user feedback portal on a medical device interface. The user may enter the collection of fine-grained classifications through a user feedback entry. In some embodiments, the user feedback portal may include text, images, and/or speech in a variety of forms. For example, the user feedback portal may include a two-dimensional code, a validation code, an operation button, etc., displayed on an interface of the ultrasound imaging device. In some embodiments, user feedback entry generation module 510 may generate the user feedback entry based on a type of medical device and/or a type of the medical device interface and cause the user feedback entry to be displayed on the medical device interface. In some embodiments, the user feedback entries corresponding to different types of medical devices may be the same or different. In some embodiments, the user feedback entries corresponding to different types of medical device interfaces may be the same or different. In some embodiments, the user feedback portal may also be provided by the terminal device. For example, the user feedback portal may include an application installed on the terminal device, and the user may enter the collection system for fine-grained classification by clicking on the application.
The receiving module 520 may be configured to receive user feedback information sent by the terminal device based on the user feedback entry. In some embodiments, the user feedback information may be generated based on a collection system of fine-grained classifications. In some embodiments, in order to receive the user feedback information sent by the terminal device based on the user feedback portal, the receiving module 520 may provide a fast feedback channel and/or a detailed feedback channel to the terminal device based on the user feedback portal, and receive the user feedback information collected by the terminal device through the fast feedback channel and/or the detailed feedback channel. In some embodiments, the user feedback information collected by the terminal device through the fast feedback channel may include first layer granularity information, second layer granularity information, and/or third layer granularity information, where the first layer granularity information may include medical device information, user information, or service information, the second layer granularity information may include feedback type information, and the third layer granularity information may include feedback detail information. For example, the receiving module 520 may recommend at least some of the first layer granularity information, the second layer granularity information, the third layer granularity information, or any combination thereof, to the terminal device for the user to select the information to be fed back based on usage information of the medical device, hardware parameter information, sensor monitoring information, historical usage information, historical feedback information of other medical devices related to the medical device, content displayed by a medical device interface, or the like, or any combination thereof. In some embodiments, none of the first layer granularity information, the second layer granularity information, and the third layer granularity information may include information to be fed back by the user. At this time, the receiving module 520 may provide a detailed feedback path to the terminal device so that the user inputs a detailed description of feedback information in the terminal device. In some embodiments, the receiving module 520 may also be used to automatically generate user feedback information. For example, the receiving module 520 may determine the association information based on usage information of the medical device, hardware parameter information, sensor monitoring information, historical usage information, historical feedback information of other medical devices related to the medical device, content displayed by a medical device interface, or a combination thereof. The association information may be used for display on the terminal device as recommended fine-grained classification information to facilitate the user in determining the information to be fed back. Further, the receiving module 520 may associate the association information with the user feedback entry and send the association information to the terminal device in response to the terminal device triggering the user feedback entry. The user may accept or modify the associated information displayed on the terminal device to determine user feedback information and send it to the receiving module 520.
The classification module 530 may be used to classify user feedback information. In some embodiments the classification module 530 may perform the classification after semantic analysis of the user feedback information based on natural language processing techniques. In some embodiments, classification module 530 may also classify user feedback information using a trained classification model. In some embodiments, classification module 530 may classify based on at least some of the first layer granularity information, the second layer granularity information, the third layer granularity information, or a combination thereof. For example, the classification module 530 may classify the user feedback information by region (e.g., city, region, etc.), model number of the medical device, etc., based on the first layer granularity information. For another example, the classification module 530 may classify the user feedback information by question type (e.g., hardware questions, software questions, image questions, etc.) based on the second layer granularity information. For another example, the classification module 530 may classify the user feedback information according to problem details (e.g., inability of the transmitter to transmit ultrasound waves, software error codes, image artifact problems, etc.) based on the third tier granularity information. In some embodiments, the classification module 530 may further classify the user feedback information into types that do not require manual processing, are not archived, etc., in order to determine service feedback information based on classification results and/or user feedback information.
The determination module 540 may be configured to determine service feedback information based on the classification result and/or the user feedback information. In some embodiments, the determination module 540 may determine the service feedback information by retrieving a service feedback information database based on the classification result and/or the user feedback information. The service feedback information database may be generated based on historical service information and stored in a storage device (e.g., storage device 140) of the user feedback information processing system 100. For example, for user feedback information that does not require manual processing, the determination module 540 may determine one or more sets of service feedback information corresponding to the classification result and/or the user feedback information from the service feedback information database. In some embodiments, the determining module 540 may determine the resource allocation based on the classification result and/or the user feedback information, and use information related to the resource allocation as the service feedback information. For example, for user feedback information to be manually processed, the determining module 540 may determine corresponding maintenance personnel based on the maintenance resource library or the resource allocation system, and implement resource allocation. In some embodiments, the determination module 540 may enter the classification result and/or the user feedback information into the repository of requirements based on the classification result and/or the user feedback information. For example, the determination module 540 may determine whether the user feedback information is not archived based on historical user feedback information. In response to determining that the user feedback information is not archived, the determination module 540 may enter the user feedback information and/or classification results into a repository of requirements.
The feedback module 550 may be configured to send service feedback information to the terminal device. In some embodiments, the feedback module 550 may send service feedback information to the terminal device by way of mail, sms, link, application message, etc.
It should be noted that the above description of the processing device 120 and its modules is for convenience of description only and is not intended to limit the present description to the scope of the illustrated embodiments. It will be appreciated by those skilled in the art that, given the principles of the system, various modules may be combined arbitrarily or a subsystem may be constructed in connection with other modules without departing from such principles. For example, the user feedback entry generation module 510, the receiving module 520, the classification module 530, the determination module 540, and the feedback module 550 disclosed in fig. 5 may be different modules in one system, or may be one module to implement the functions of two or more modules. For example, the classifying module 530 and the determining module 540 may be two independent modules, or may be one module having the functions of classifying user feedback information and determining service feedback information. Such variations are within the scope of the present description.
Some embodiments of the present description also provide a computer-readable storage medium that may store computer instructions. When the computer reads the computer instructions in the storage medium, the computer can execute the corresponding flow of the user feedback information processing method according to any of the foregoing embodiments.
The user feedback information processing method, system and computer readable storage medium provided in the embodiments of the present specification have at least the following beneficial effects: (1) The medical equipment is provided with the fine-granularity collecting system, so that a user can quickly input and/or select the problem needing to be fed back on the terminal equipment without inputting more text description, and the problem feedback efficiency is improved; (2) The user feedback information collected by the fine-grained collection system can be classified rapidly and accurately, so that the service feedback information is determined, and the efficiency and accuracy of problem processing are improved; (3) Based on the information or parameters related to the medical equipment (such as medical images, etc.), the problem can be automatically detected, the user feedback information can be rapidly determined and recommended to the user, and the information feedback efficiency is improved; (4) Providing a user feedback inlet on a medical equipment interface, wherein a user can quickly enter a fine-granularity classified collection system through the user feedback inlet to feed back information, so that convenience and efficiency of user information feedback are improved; (5) The user can bind with the user feedback information processing system through the user feedback inlet, and after binding, the user, service, equipment and other information can be automatically identified when the user feedback inlet is triggered, so that the processing progress of the user feedback information can be tracked in real time, the convenience of information acquisition is improved, and the user experience is improved.
While the basic concepts have been described above, it will be apparent to those skilled in the art that the foregoing detailed disclosure is by way of example only and is not intended to be limiting. Although not explicitly described herein, various modifications, improvements, and adaptations to the present disclosure may occur to one skilled in the art. Such modifications, improvements, and modifications are intended to be suggested within this specification, and therefore, such modifications, improvements, and modifications are intended to be included within the spirit and scope of the exemplary embodiments of the present invention.
Meanwhile, the specification uses specific words to describe the embodiments of the specification. Reference to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic is associated with at least one embodiment of the present description. Thus, it should be emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various positions in this specification are not necessarily referring to the same embodiment. Furthermore, certain features, structures, or characteristics of one or more embodiments of the present description may be combined as suitable.
Furthermore, those skilled in the art will appreciate that the various aspects of the specification can be illustrated and described in terms of several patentable categories or circumstances, including any novel and useful procedures, machines, products, or materials, or any novel and useful modifications thereof. Accordingly, aspects of the present description may be performed entirely by hardware, entirely by software (including firmware, resident software, micro-code, etc.), or by a combination of hardware and software. The above hardware or software may be referred to as a "data block," module, "" engine, "" unit, "" component, "or" system. Furthermore, aspects of the specification may take the form of a computer product, comprising computer-readable program code, embodied in one or more computer-readable media.
The computer storage medium may contain a propagated data signal with the computer program code embodied therein, for example, on a baseband or as part of a carrier wave. The propagated signal may take on a variety of forms, including electro-magnetic, optical, etc., or any suitable combination thereof. A computer storage medium may be any computer readable medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code located on a computer storage medium may be propagated through any suitable medium, including radio, cable, fiber optic cable, RF, or the like, or a combination of any of the foregoing.
The computer program code necessary for operation of portions of the present description may be written in any one or more programming languages, including an object oriented programming language such as Java, scala, smalltalk, eiffel, JADE, emerald, C ++, c#, vb net, python and the like, a conventional programming language such as C language, visual Basic, fortran 2003, perl, COBOL 2002, PHP, ABAP, a dynamic programming language such as Python, ruby and Groovy, or other programming languages and the like. The program code may execute entirely on the user's computer or as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any form of network, such as a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet), or the use of services such as software as a service (SaaS) in a cloud computing environment.
Furthermore, the order in which the elements and sequences are processed, the use of numerical letters, or other designations in the description are not intended to limit the order in which the processes and methods of the description are performed unless explicitly recited in the claims. While certain presently useful inventive embodiments have been discussed in the foregoing disclosure, by way of various examples, it is to be understood that such details are merely illustrative and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements included within the spirit and scope of the embodiments of the present disclosure. For example, while the system components described above may be implemented by hardware devices, they may also be implemented solely by software solutions, such as installing the described system on an existing server or mobile device.
Likewise, it should be noted that in order to simplify the presentation disclosed in this specification and thereby aid in understanding one or more inventive embodiments, various features are sometimes grouped together in a single embodiment, figure, or description thereof. This method of disclosure, however, is not intended to imply that more features than are presented in the claims are required for the present description. Indeed, less than all of the features of a single embodiment disclosed above.
In some embodiments, numbers describing the components, number of attributes are used, it being understood that such numbers being used in the description of embodiments are modified in some examples by the modifier "about," approximately, "or" substantially. Unless otherwise indicated, "about," "approximately," or "substantially" indicate that the number allows for a 20% variation. Accordingly, in some embodiments, numerical parameters set forth in the specification and claims are approximations that may vary depending upon the desired properties sought to be obtained by the individual embodiments. In some embodiments, the numerical parameters should take into account the specified significant digits and employ a method for preserving the general number of digits. Although the numerical ranges and parameters set forth herein are approximations that may be employed in some embodiments to confirm the breadth of the range, in particular embodiments, the setting of such numerical values is as precise as possible.
Each patent, patent application publication, and other material, such as articles, books, specifications, publications, documents, etc., referred to in this specification is incorporated herein by reference in its entirety. Except for application history documents that are inconsistent or conflicting with the content of this specification, documents that are currently or later attached to this specification in which the broadest scope of the claims to this specification is limited are also. It is noted that, if the description, definition, and/or use of a term in an attached material in this specification does not conform to or conflict with what is described in this specification, the description, definition, and/or use of the term in this specification controls.
Finally, it should be understood that the embodiments described in this specification are merely illustrative of the principles of the embodiments of this specification. Other variations are possible within the scope of this description. Thus, by way of example, and not limitation, alternative configurations of embodiments of the present specification may be considered as consistent with the teachings of the present specification. Accordingly, the embodiments of the present specification are not limited to only the embodiments explicitly described and depicted in the present specification.
Claims (10)
1. A method for processing feedback information of a user of a medical device, comprising:
providing a user feedback portal on a medical device interface;
receiving user feedback information sent by a terminal device based on the user feedback inlet, wherein the user feedback information is generated based on a collection system of fine granularity classification;
classifying the user feedback information;
determining service feedback information based on the classification result; and
and sending the service feedback information to the terminal equipment.
2. The method of claim 1, wherein providing a user feedback portal on a medical device interface comprises:
generating the user feedback portal based on the type of the medical device and/or the type of the medical device interface; and
Causing the user feedback portal to be displayed on the medical device interface.
3. The method of claim 1, wherein the receiving terminal device based on the user feedback information sent by the user feedback portal comprises:
providing a quick feedback channel and/or a detailed feedback channel for the terminal equipment based on the user feedback inlet;
and receiving the user feedback information collected by the terminal equipment through the quick feedback channel and/or the detailed feedback channel.
4. The method of claim 3, wherein the user feedback information collected by the terminal device through the fast feedback channel comprises at least first layer granularity information, second layer granularity information, and third layer granularity information, wherein the first layer granularity information comprises medical device information, user information, or service information, the second layer granularity information comprises feedback type information, and the third layer granularity information comprises feedback detail information, and at least two of the first layer granularity information, the second layer granularity information, and the third layer granularity information are interrelated.
5. The method of claim 4, wherein the providing a fast feedback path to the terminal device based on the user feedback entry comprises:
Recommending at least one of the first layer granularity information, the second layer granularity information, or the third layer granularity information to the terminal device for the user to select information to be fed back based on at least one of usage information of the medical device, hardware parameter information, sensor monitoring information, historical usage information, historical feedback information of other medical devices related to the medical device, or content displayed by the medical device interface.
6. The method of claim 4, wherein the providing a detailed feedback path to the terminal device based on the user feedback portal comprises:
and providing a detailed feedback channel for the terminal equipment in response to that no information to be fed back by the user is included in the first layer granularity information, the second layer granularity information and the third layer granularity information, so that the user inputs detailed description of the feedback information in the terminal equipment.
7. The method of claim 1, wherein the receiving terminal device based on the user feedback information sent by the user feedback portal comprises:
determining association information based on at least one of usage information of the medical device, hardware parameter information, sensor monitoring information, historical usage information, historical feedback information of other medical devices related to the medical device, or content displayed by the medical device interface;
Associating the association information with the user feedback entry;
responding to the terminal equipment to trigger the user feedback inlet, and sending the associated information to the terminal equipment; and
and receiving the user feedback information generated by the terminal equipment based on the association information.
8. The method of claim 1, wherein the determining service feedback information based on the classification result comprises at least one of:
determining the service feedback information by retrieving a service feedback information database based on the classification result; or (b)
Determining resource allocation based on the classification result, and taking information related to the resource allocation as the service feedback information; or (b)
And inputting the user feedback information or the classification result into a demand library based on the classification result.
9. A system for processing user feedback information of a medical device, comprising:
the user feedback inlet generation module is used for providing a user feedback inlet on the medical equipment interface;
the receiving module is used for receiving user feedback information sent by the terminal equipment based on the user feedback inlet, wherein the user feedback information is generated based on a collection system of fine granularity classification;
The classification module is used for classifying the user feedback information;
a determining module, configured to determine service feedback information based on the classification result; and
and the feedback module is used for sending the service feedback information to the terminal equipment.
10. A computer readable storage medium storing computer instructions which, when read by a computer in the storage medium, perform the method of any one of claims 1 to 8.
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| CN202210580339.8A CN117174275A (en) | 2022-05-25 | 2022-05-25 | Processing system and method for medical equipment user feedback information |
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