A hospital guidance robot with decision support and method thereof
By conducting privacy analysis and patient communication content analysis of the hospital guidance robot and selecting appropriate communication methods, the problem of patient privacy leakage when the guidance robot involves a privacy clinic is solved, and the accuracy of the guidance experience and information transmission is improved. sex.
Patent Information
- Application Number
- CN202410809290.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-06-21
- Publication Date
- 2024-12-13
- Estimated Expiration
- 2044-06-21
AI Technical Summary
The existing hospital guide robots lack the optimal communication method based on the patient's own characteristics, resulting in poor guidance experience, especially when it involves a privacy clinic, which may lead to patient privacy leakage.
By conducting privacy analysis of the target clinic, combining patient communication content and big data analysis, it is decided to use the image interaction module or voice interaction module to provide medical service information to patients, and make corresponding adjustments when judging whether the patient has hearing impairment.
It realizes the selection of appropriate communication methods based on the patient's privacy analysis results, ensures the privacy and interaction of patient information, and improves the guidance experience.
Smart Images
Figure CN118528289B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of medical service robots, and in particular to a hospital guidance robot with decision support and a method thereof. Background Art
[0002] The hospital guide robot is a service robot designed specifically for medical environments, aiming to improve the quality of hospital services, reduce the workload of medical staff, and provide convenience for patients.
[0003] The following are some key functions and features of hospital guide robots: 1) Information query: Provide basic information such as the location of each hospital clinic, doctor information, registration process, etc.; 2) Navigation guidance: Guide patients to the designated clinic or examination room through the built-in map or integration with the hospital navigation system; 3) Appointment registration: Assist patients to make appointments, provide self-service, and reduce waiting time in queues; 4) Inquiry and answer: Answer patients' common questions about medical procedures, hospital regulations, etc.; 5) Autonomous movement: Possesses autonomous movement capabilities, and can move freely inside the hospital and avoid obstacles.
[0004] Existing medical guidance robots can communicate with patients through voice and images to provide relevant medical services, but they lack the ability to select the optimal communication method based on the patient's own characteristics, resulting in a poor medical guidance experience for patients, which needs to be improved. Summary of the invention
[0005] In this regard, the present invention provides a hospital guidance method based on a guidance robot with decision support, a hospital guidance robot with decision support, an electronic device, a computer storage medium and a computer program product to solve at least one of the above-mentioned technical problems.
[0006] The present invention provides a hospital guidance method based on a guidance robot with decision support, which is applied to the guidance robot. The method comprises the following steps:
[0007] The medical guide robot communicates with the patient and determines the target clinic for the patient based on the content of the communication;
[0008] Performing a privacy analysis on the target clinic to obtain a privacy analysis result;
[0009] If the privacy analysis result shows that the target clinic is a clinic involving privacy, the image interaction module is used to provide medical service information to the patient. Otherwise, the voice interaction module is used to communicate with the patient by voice to provide medical service information to the patient.
[0010] Optionally, performing a privacy analysis on the target clinic to obtain a privacy analysis result includes:
[0011] Querying a first basic privacy value corresponding to the target clinic, where the first basic privacy value is obtained in advance based on big data analysis;
[0012] Determine the name of the patient's disease based on the communication content, perform a correlation analysis between the disease name and the target clinic, and obtain a first correlation coefficient;
[0013] The first basic privacy value is corrected using the first correlation coefficient to obtain a target privacy value, that is, a privacy analysis result.
[0014] Optionally, the first basic privacy value is determined in the following manner:
[0015] Performing sentiment analysis on the collected big data to determine the user's sentiment inclination towards different clinics, and formulating a second basic privacy value for each clinic based on the sentiment inclination;
[0016] Acquire the diagnosis and treatment record data of the target clinic of the hospital corresponding to the patient, and determine several diseases that the target clinic is good at according to the diagnosis and treatment record data;
[0017] The maximum value of the third basic privacy value of each of the diseases that the target is good at is extracted, the second correlation coefficient is determined according to the maximum third basic privacy value, and the second basic privacy value is corrected using the second correlation coefficient to obtain the first basic privacy value.
[0018] Optionally, the method further comprises:
[0019] When the medical guidance robot communicates with the patient, the medical guidance robot outputs a preset voice to the patient and collects non-language features of the patient after a specified period of time based on a camera, wherein the non-language features refer to head and hand features indicating that the patient may have hearing impairment;
[0020] Use artificial intelligence technology to deeply analyze the non-language features and determine whether the patient has hearing impairment;
[0021] If it is determined that the patient has hearing impairment, regardless of whether the target clinic is a clinic involving privacy, the image interaction module is used to provide medical service information to the patient;
[0022] If it is determined that the patient does not have hearing impairment, an image interaction module or a voice interaction module is used to communicate with the patient by voice, so as to provide medical service information to the patient.
[0023] Optionally, the specified time period is determined in the following manner:
[0024] The medical guidance robot obtains sound data of the medical guidance area, analyzes the sound data to obtain the noise volume in the medical guidance area, and determines the length of the designated time period according to the noise volume.
[0025] Optionally, when the voice interaction module is used to perform voice communication with the patient, the method further includes:
[0026] The voice interaction volume of the guidance robot is determined based on the patient's voice volume and taking into account the noise volume in the guidance area.
[0027] The present invention also provides a hospital guide robot with decision support, comprising a voice interaction module, an image interaction module, a camera, a processing module and a storage module, wherein the processing module is electrically connected to the voice interaction module, the image interaction module, the camera and the storage module;
[0028] The voice interaction module is used to communicate and interact with the patient, and provide medical service information to the patient according to the instructions of the processing module;
[0029] The image interaction module is used to provide medical service information to the patient according to the instruction of the processing module;
[0030] The camera is used to capture image data of the patient according to the instruction of the processing module;
[0031] The processing module is used to retrieve and execute the computer instructions stored in the storage module to implement any of the methods described above.
[0032] The present invention also provides a computer storage medium storing a computer program executable by a processor to implement any of the methods described above.
[0033] The present invention also provides a computer program product, which includes a computer program that can be executed by a processor to implement any of the methods described above.
[0034] The beneficial effects of the present invention are:
[0035] The solution of the present invention can perform a privacy analysis on the patient's target clinic and select an appropriate medical service provision method accordingly, thereby providing the patient with timely and accurate medical services while also fully protecting the patient's privacy. BRIEF DESCRIPTION OF THE DRAWINGS
[0036] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.
[0037] Figure 1 It is a flowchart of a hospital medical guidance method based on a medical guidance robot with decision support disclosed in an embodiment of the present invention;
[0038] Figure 2 It is a structural schematic diagram of a hospital guide robot with decision support disclosed in an embodiment of the present invention. DETAILED DESCRIPTION
[0039] The following is a description of the implementation of the present application by specific specific embodiments. People familiar with the technology can easily understand other advantages and effects of the present application from the contents disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.
[0040] In addition, the technical features involved in the different embodiments of the present application described below can be combined with each other as long as they do not conflict with each other.
[0041] like Figure 1 As shown, an embodiment of the present invention discloses a hospital guidance method based on a guidance robot with decision support, which is applied to the guidance robot. The method comprises the following steps:
[0042] The medical guide robot communicates with the patient and determines the target clinic for the patient based on the content of the communication;
[0043] Performing a privacy analysis on the target clinic to obtain a privacy analysis result;
[0044] If the privacy analysis result shows that the target clinic is a clinic involving privacy, the image interaction module is used to provide medical service information to the patient. Otherwise, the voice interaction module is used to communicate with the patient by voice to provide medical service information to the patient.
[0045] Although existing medical guide robots have modules for communication via voice and images, they lack the ability to select the best communication method based on the patient's own characteristics, resulting in a poor patient guidance experience. For example, when a patient describes his or her own symptoms to the guide robot or specifies a specific disease, the guide robot analyzes and concludes that the corresponding target clinic is the men's department, urology department, gynecology department, oncology department, and other clinics that may involve privacy. If the guide robot uses voice to communicate with the patient at this time, it will cause the patient to become very embarrassed in the guidance hall and easily lead to the leakage of the patient's privacy.
[0046] In response to the above technical problems, the medical guide robot in the present invention first conducts preliminary communication with the patient, determines the target clinic that is suitable for the patient based on the analysis of the communication content, and then conducts a privacy analysis on the target clinic to obtain a privacy analysis result. If the privacy analysis result shows that the target clinic is a clinic involving privacy, the corresponding medical service is provided to the patient through images, such as outputting registration information, clinic doctor information, clinic guide information, etc. Otherwise, more efficient interaction is conducted with the patient through voice. Therefore, the scheme of the present invention can conduct a privacy analysis on the patient's target clinic, and select a suitable medical service provision method accordingly, so as to fully protect the patient's privacy on the basis of providing the patient with timely and accurate medical services.
[0047] Optionally, performing a privacy analysis on the target clinic to obtain a privacy analysis result includes:
[0048] Querying a first basic privacy value corresponding to the target clinic, where the first basic privacy value is obtained in advance based on big data analysis;
[0049] Determine the name of the patient's disease based on the communication content, perform a correlation analysis between the disease name and the target clinic, and obtain a first correlation coefficient;
[0050] The first basic privacy value is corrected using the first correlation coefficient to obtain a target privacy value, that is, a privacy analysis result.
[0051] In this embodiment, different clinics involve different privacy, and the privacy of each clinic can be determined in advance through big data analysis technology. The big data mainly includes massive questionnaire data, such as anonymized data collected from hospital information systems, including clinic visit records, patient satisfaction surveys, etc.; as well as discussions and comments on various clinics in the hospital by users on public platforms such as social media, forums, and blogs.
[0052] At the same time, a clinic will treat multiple diseases. For example, the Department of Gastroenterology treats both conventional gastritis and Helicobacter pylori infection, as well as various types of liver diseases, gastric cancer, digestive tract cancer, etc. The privacy corresponding to the former type of disease is obviously very low, while the privacy corresponding to the latter type of disease is obviously very high. Therefore, the present invention determines the name of the disease suffered by the patient based on the communication content between the guide robot and the patient, performs a correlation analysis between the disease name and the target clinic, obtains a first correlation coefficient, and then uses the first correlation coefficient to correct the first basic privacy value obtained above to obtain a target privacy value.
[0053] Among them, when the patient's disease belongs to the above-mentioned type of private disease among the diseases involved in the target clinic, although the name of the target clinic does not directly reflect the name of the disease, and other people will not associate the above-mentioned private disease with the name of the target clinic, the patient may still be subjectively unwilling to let the guidance robot perform voice output. Therefore, the basic analysis principle of the above-mentioned correlation analysis set by the present invention is: list all disease types corresponding to each clinic, calculate each disease whose privacy (i.e., the third basic privacy value described below) is higher than the specified threshold, and further determine whether the patient's disease name belongs to any of the diseases whose privacy is higher than the specified threshold. If so, set the first correlation coefficient to a large value, otherwise set the first correlation coefficient to a small value.
[0054] Optionally, the first basic privacy value is determined in the following manner:
[0055] Performing sentiment analysis on the collected big data to determine the user's sentiment inclination towards different clinics, and formulating a second basic privacy value for each clinic based on the sentiment inclination;
[0056] Acquire the diagnosis and treatment record data of the target clinic of the hospital corresponding to the patient, and determine several diseases that the target clinic is good at according to the diagnosis and treatment record data;
[0057] The maximum value of the third basic privacy value of each of the diseases that the target is good at is extracted, the second correlation coefficient is determined according to the maximum third basic privacy value, and the second basic privacy value is corrected using the second correlation coefficient to obtain the first basic privacy value.
[0058] In this embodiment, sentiment analysis is performed on the collected big data to determine the user's sentimental tendencies towards different clinics, such as positive, negative or neutral tendencies, so as to formulate the second basic privacy value of each clinic. Since the big data is obtained in a cross-regional manner, it represents the general sentimental tendencies of the public towards each clinic, and the target clinic corresponding to the aforementioned patient is a specific clinic of a hospital in a certain region, and the same clinic in different regions is good at treating different diseases, which is generally known to the general public in the region. Therefore, the present invention further obtains several diseases that the target clinic is good at (for example, diseases with many treated cases and many cured cases) according to the diagnosis and treatment record data of the aforementioned target clinic, extracts the maximum value of the third basic privacy value of each good disease, and determines the second correlation coefficient accordingly, and uses the second correlation coefficient to correct the second basic privacy value representing the general sentimental tendencies of the public towards each clinic to the third basic privacy value that reflects the actual situation of the target clinic in the local area. Obviously, the second correlation coefficient is positively correlated with the maximum third basic privacy value.
[0059] Among them, the third basic privacy value of the disease that the target is good at is also obtained in advance through big data analysis. The specific analysis method is exactly the same as the method of formulating the second basic privacy value of each clinic. Since the emotional inclinations of people in different regions towards specific diseases are basically the same, the confidence of the third basic privacy value is high enough. Of course, the third basic privacy value should also be updated according to the preset period, which can be two years, five years, etc.
[0060] Optionally, the method further comprises:
[0061] When the medical guidance robot communicates with the patient, the medical guidance robot outputs a preset voice to the patient and collects non-language features of the patient after a specified period of time based on a camera, wherein the non-language features refer to head and hand features indicating that the patient may have hearing impairment;
[0062] Use artificial intelligence technology to deeply analyze the non-language features and determine whether the patient has hearing impairment;
[0063] If it is determined that the patient has hearing impairment, regardless of whether the target clinic is a clinic involving privacy, the image interaction module is used to provide medical service information to the patient;
[0064] If it is determined that the patient does not have hearing impairment, an image interaction module or a voice interaction module is used to communicate with the patient by voice, so as to provide medical service information to the patient.
[0065] In this embodiment, in addition to the aforementioned decision on the provision of medical service information based on the privacy of the target clinic, the present invention further considers whether the patient has hearing impairment. Specifically, when the medical guide robot communicates with the patient (the patient can manually input disease information on the touch screen of the medical guide robot, or swipe the medical card in the card swiping part to input its disease information to the medical guide robot, and the disease information can be the name of the disease or the description of the disease symptoms), before executing the aforementioned embodiment of the present invention, the medical guide robot first outputs a preset voice to the patient, and the preset voice can be "Is the disease information you entered accurate? Do you need to modify it?" Then, based on the camera equipped with the medical guide robot, the patient's non-verbal features within a specified period of time are collected. Since the non-verbal features refer to the head and hand features that indicate that the patient may have hearing impairment, artificial intelligence technology can be used to perform in-depth analysis on them to determine whether the patient has hearing impairment. When it is determined that the patient has hearing impairment, it is obviously inappropriate to provide medical service information through voice. Therefore, at this time, regardless of whether the target clinic is a privacy-related clinic or not, an image interaction module is used to provide medical service information to the patient. When it is determined that the patient does not have hearing impairment, it is necessary to comprehensively consider the privacy of the target clinic in accordance with the aforementioned method to decide on the most appropriate method of providing medical service information.
[0066] Among them, non-verbal features are mainly hand features and head features. Hand features can be the palm raised to the ear and in a concave grip shape. Head features include tilting the head and shrinking the neck, as well as facial features of doubt (slightly open mouth, frowning, etc.).
[0067] Optionally, the specified time period is determined in the following manner:
[0068] The medical guidance robot obtains sound data of the medical guidance area, analyzes the sound data to obtain the noise volume in the medical guidance area, and determines the length of the designated time period according to the noise volume.
[0069] In this embodiment, there will be a large number of people entering and exiting and talking in the hospital guidance area (generally the hospital lobby), resulting in a high noise level in the guidance area. The presence of this high noise may cause patients who do not have hearing impairment to have the above non-language features due to unclear hearing. In order to avoid the misjudgment of whether the patient has hearing impairment caused by the noise in the guidance area, the present invention is set to obtain the non-language features of the patient after a specified period of time and analyze whether he has hearing impairment. The starting time of the specified period of time refers to the time when the guidance robot starts to output the above preset voice, and the non-language features of the patient are collected only after the timing reaches the specified time. The length of the specified period of time is positively correlated with the noise volume determined above, that is, the greater the noise volume in the guidance area, the later the collection of non-language features is started, that is, when the noise is high, the patient is given sufficient time to understand the preset paragraph output by the guidance robot, reducing the probability of misjudgment of hearing impairment; on the contrary, the earlier the collection of non-language features is started, the higher the rate of providing subsequent medical service information.
[0070] Optionally, when the voice interaction module is used to perform voice communication with the patient, the method further includes:
[0071] The voice interaction volume of the guidance robot is determined based on the patient's voice volume and taking into account the noise volume in the guidance area.
[0072] In this embodiment, when the medical guide robot decides to communicate with the patient in a voice interaction mode, it also needs to determine how loud the volume should be. The method adopted by the present invention is based on the patient's own voice volume, and appropriately considers the noise volume in the medical guide area. For example, when the noise volume in the medical guide area is large, the patient's own voice volume is appropriately increased, and the adjusted volume is used as the voice interaction volume of the medical guide robot.
[0073] The patient's own voice volume may be the volume of the patient's response voice collected when the medical guidance robot outputs a preset voice to the patient (the patient is not a hearing-impaired person at this time).
[0074] like Figure 2 As shown, the present invention also discloses a hospital guide robot with decision support, comprising a voice interaction module, an image interaction module, a camera, a processing module and a storage module, wherein the processing module is electrically connected to the voice interaction module, the image interaction module, the camera and the storage module;
[0075] The voice interaction module is used to communicate and interact with the patient, and provide medical service information to the patient according to the instructions of the processing module;
[0076] The image interaction module is used to provide medical service information to the patient according to the instruction of the processing module;
[0077] The camera is used to capture image data of the patient according to the instruction of the processing module;
[0078] The processing module is used to retrieve and execute the computer instructions stored in the storage module to implement any of the methods described above.
[0079] The present invention also discloses an electronic device, which includes: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, wherein the computer program implements the method described in any of the preceding items when executed by the processor.
[0080] The present invention also discloses a computer storage medium, which stores a computer program that can be executed by a processor to implement any of the methods described in the preceding items.
[0081] The present invention also discloses a computer program product, which includes a computer program that can be executed by a processor to implement any of the methods described in the preceding items.
[0082] The above-mentioned computer readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a compact disc (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, etc.
[0083] It should be understood that the "plurality" mentioned in this article refers to two or more. "And / or" describes the association relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the associated objects are in an "or" relationship.
[0084] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.
[0085] The above description is only an exemplary embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present application shall be included in the protection scope of the present application.
Claims
1. A hospital guidance method based on a guidance robot with decision support, applied to the guidance robot, characterized in that: The method comprises the following steps: The medical guide robot communicates with the patient and determines the target clinic for the patient based on the content of the communication; Performing a privacy analysis on the target clinic to obtain a privacy analysis result; If the privacy analysis result indicates that the target clinic is a clinic involving privacy, the image interaction module is used to provide medical service information to the patient; otherwise, the voice interaction module is used to communicate with the patient by voice to provide the patient with medical service information; Performing a privacy analysis on the target clinic to obtain a privacy analysis result, including: Querying a first basic privacy value corresponding to the target clinic, where the first basic privacy value is obtained in advance based on big data analysis; Determine the name of the patient's disease based on the communication content, perform a correlation analysis between the disease name and the target clinic, and obtain a first correlation coefficient; Using the first correlation coefficient to correct the first basic privacy value to obtain a target privacy value, that is, to obtain a privacy analysis result; The first basic privacy value is determined in the following manner: Performing sentiment analysis on the collected big data to determine the user's sentiment inclination towards different clinics, and formulating a second basic privacy value for each clinic based on the sentiment inclination; Acquire the diagnosis and treatment record data of the target clinic of the hospital corresponding to the patient, and determine several diseases that the target clinic is good at according to the diagnosis and treatment record data; The maximum value of the third basic privacy value of each of the diseases that the computer is good at is extracted, the second correlation coefficient is determined according to the maximum third basic privacy value, and the second basic privacy value is corrected using the second correlation coefficient to obtain the first basic privacy value.
2. A hospital guidance method based on a guidance robot with decision support according to claim 1, characterized in that: The method further comprises: When the medical guidance robot communicates with the patient, the medical guidance robot outputs a preset voice to the patient and collects non-language features of the patient after a specified period of time based on a camera, wherein the non-language features refer to head and hand features indicating that the patient may have hearing impairment; Use artificial intelligence technology to deeply analyze the non-language features and determine whether the patient has hearing impairment; If it is determined that the patient has hearing impairment, regardless of whether the target clinic is a clinic involving privacy, the image interaction module is used to provide medical service information to the patient; If it is determined that the patient does not have hearing impairment, an image interaction module or a voice interaction module is used to communicate with the patient by voice, so as to provide medical service information to the patient.
3. A hospital guidance method based on a guidance robot with decision support according to claim 2, characterized in that: The specific method for determining the specified time period is as follows: The medical guidance robot obtains sound data of the medical guidance area, analyzes the sound data to obtain the noise volume in the medical guidance area, and determines the length of the designated time period according to the noise volume.
4. A hospital guidance method based on a guidance robot with decision support according to claim 3, characterized in that: When the voice interaction module is used to perform voice communication with the patient, the method further includes: The voice interaction volume of the guidance robot is determined based on the patient's voice volume and taking into account the noise volume in the guidance area.
5. A hospital guide robot with decision support, comprising a voice interaction module, an image interaction module, a camera, a processing module and a storage module, wherein the processing module is electrically connected to the voice interaction module, the image interaction module, the camera and the storage module; The voice interaction module is used to communicate and interact with the patient, and provide medical service information to the patient according to the instructions of the processing module; The image interaction module is used to provide medical service information to the patient according to the instruction of the processing module; The camera is used to capture image data of the patient according to the instruction of the processing module; Features: The processing module is used to retrieve and execute the computer instructions stored in the storage module to implement the method according to any one of claims 1 to 4.
6. An electronic device, characterized in that: The electronic device comprises: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, wherein the computer program implements the method according to any one of claims 1 to 4 when executed by the processor.
7. A computer storage medium, characterized in that: The computer storage medium stores a computer program that can be executed by a processor to implement the method according to any one of claims 1 to 4.
8. A computer program product, characterized in that: The computer program product comprises a computer program executable by a processor to implement the method according to any one of claims 1 to 4.