Medical guidance method and device

Abstract

The invention discloses a medical guidance method and device, and belongs to the technical field of electronic equipment. The method comprises the following steps: under the condition that a user starts a diagnosis accompanying function, acquiring doctor-patient interaction data in a doctor seeing process of the user; the doctor-patient interaction data is input to a medical guidance information generation model, first medical guidance information is output, and the first medical guidance information comprises at least one of the following items: medication time, review time, a treatment course period, a medicine name, a medicine taking dosage specification and taking logic, and daily behavior suggestions; and displaying the first medical guidance information.

Description

Technical Field

[0001] The present application belongs to the technical field of electronic equipment, and specifically relates to a medical guidance method and device. Background Art

[0002] In today's fast-paced world, many people neglect or forget important doctor's orders due to busy work or personal commitments, such as forgetting to take medication on time or skipping follow-up checkups. This can lead to inadequate health management and even delay timely treatment. However, existing medication reminder apps require users to manually enter doctor's order information, which is complex and error-prone. Summary of the Invention

[0003] The purpose of the embodiments of the present application is to provide a medical guidance method and device that can solve the problem that existing medication reminder applications require users to manually enter medical advice information, which is relatively complicated and prone to errors.

[0004] In a first aspect, an embodiment of the present application provides a medical guidance method, the method comprising:

[0005] When the user activates the accompanying consultation function, obtain the doctor-patient interaction data during the user's consultation process;

[0006] Inputting the doctor-patient interaction data into a medical guidance information generation model to output first medical guidance information, the first medical guidance information including at least one of the following: medication time, review time, treatment cycle, medication name, medication dosage specifications and administration logic, and daily behavior recommendations;

[0007] The first medical guidance information is displayed.

[0008] In a second aspect, an embodiment of the present application provides a medical guidance device, comprising:

[0009] The acquisition module is used to obtain the doctor-patient interaction data during the user's medical consultation process when the user activates the accompanying consultation function;

[0010] a processing module, configured to input the doctor-patient interaction data into a medical guidance information generation model and output first medical guidance information, the first medical guidance information including at least one of the following: medication time, review time, treatment cycle, medication name, medication dosage specifications and administration logic, and daily behavior recommendations;

[0011] The first display module is used to display the first medical guidance information.

[0012] In a third aspect, an embodiment of the present application provides an electronic device comprising a processor and a memory, wherein the memory stores programs or instructions that can be run on the processor, and when the programs or instructions are executed by the processor, the steps of the method described in the first aspect are implemented.

[0013] In a fourth aspect, an embodiment of the present application provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented.

[0014] In a fifth aspect, an embodiment of the present application provides a chip, which includes a processor and a communication interface, the communication interface and the processor are coupled, and the processor is used to run programs or instructions to implement the method described in the first aspect.

[0015] In a sixth aspect, an embodiment of the present application provides a computer program product, which is stored in a storage medium and executed by at least one processor to implement the method described in the first aspect.

[0016] In this embodiment of the present application, when a user activates the accompanying consultation function, the system obtains doctor-patient interaction data from the user's consultation process; inputs this doctor-patient interaction data into a medical guidance information generation model, outputs first medical guidance information, and displays the first medical guidance information. The first medical guidance information includes at least one of the following: medication time, review time, treatment cycle, medication name, medication dosage specifications and logic, and daily behavior recommendations. This embodiment eliminates the need for users to manually edit medical order information, reduces operational difficulty, and accurately provides users with medical guidance information in complex medical order scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is one of the flow charts of the medical guidance method according to an embodiment of the present application;

[0018] Figure 2 This is a schematic diagram of a reminder list according to an embodiment of the present application;

[0019] Figure 3 This is a schematic diagram of the reminder mode setting interface of an embodiment of the present application;

[0020] Figure 4 This is the second flowchart of the medical guidance method according to an embodiment of the present application;

[0021] Figure 5 This is the third flow chart of the medical guidance method according to an embodiment of the present application;

[0022] Figure 6 This is the fourth flow chart of the medical guidance method according to an embodiment of the present application;

[0023] Figure 7 This is the fifth flow chart of the medical guidance method according to an embodiment of the present application;

[0024] Figure 8 This is the sixth flowchart of the medical guidance method according to an embodiment of the present application;

[0025] Figure 9 This is one of the structural block diagrams of the medical guidance device according to an embodiment of the present application;

[0026] Figure 10 This is the second structural block diagram of the medical guidance device according to an embodiment of the present application;

[0027] Figure 11 This is one of the structural diagrams of the electronic device according to the embodiment of the present application;

[0028] Figure 12 This is one of the hardware structure diagrams of the electronic device according to the embodiment of the present application;

[0029] Figure 13 This is the second structural diagram of the electronic device according to the embodiment of the present application;

[0030] Figure 14 This is the second hardware structure diagram of the electronic device according to the embodiment of the present application. DETAILED DESCRIPTION

[0031] The following will be combined with the accompanying drawings in the embodiments of the present application to clearly describe the technical solutions in the embodiments of the present application. Obviously, the embodiments described 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 this field are within the scope of protection of this application.

[0032] The terms "first," "second," and the like in the specification and claims of this application are used to distinguish similar objects, and are not used to describe a specific order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate, so that the embodiments of this application can be implemented in an order other than that illustrated or described herein, and that the objects distinguished by "first," "second," and the like are generally of the same type, and do not limit the number of objects; for example, the first object can be one or more. In addition, the term "and / or" in the specification and claims refers to at least one of the connected objects, and the character " / " generally indicates that the objects connected are in an "or" relationship.

[0033] The following describes the medical guidance method provided in the embodiment of the present application in detail through specific embodiments and their application scenarios in conjunction with the accompanying drawings.

[0034] See also Figure 1, an embodiment of the present application provides a medical guidance method, applied to a first electronic device, the method comprising the following steps:

[0035] Step 101: When the user activates the accompanying function, obtain the doctor-patient interaction data during the user's medical consultation process.

[0036] Optionally, the way in which the user starts the accompanying medical consultation function includes but is not limited to: starting the accompanying medical consultation function when receiving the user's input operation on the "Start Accompanying Medical Consultation" button; or starting the accompanying medical consultation function when receiving the user's voice or text input to start the accompanying medical consultation function input to the voice assistant; or starting the accompanying medical consultation function when the user is automatically detected to enter the hospital range through the geographic location fence.

[0037] Among them, doctor-patient interaction data includes but is not limited to: the content of conversations between doctors and patients, doctors' diagnostic recommendations, patients' feedback information, and medical data (such as electronic medical records, test reports, imaging reports, etc.).

[0038] In this embodiment, the methods of obtaining doctor-patient interaction data include but are not limited to: voice recognition, image recording, sensor acquisition, voice assistant and other methods.

[0039] Optionally, obtaining doctor-patient interaction data during the user's medical consultation process includes at least one of the following:

[0040] Using the monitored medical consultation dialogue information as the doctor-patient interaction data;

[0041] Receiving the doctor-patient interaction data sent by the medical platform;

[0042] Using the diagnosis and treatment data uploaded by the user as the doctor-patient interaction data;

[0043] The user's physiological data obtained through medical devices is used as doctor-patient interaction data.

[0044] For example, in a scenario where a doctor and a patient are communicating face to face in a clinic, the first electronic device can collect voice data of the doctor-patient conversation through a built-in microphone and use the voice data as doctor-patient interaction data.

[0045] For example, in a scenario where a doctor inputs diagnostic information or issues an electronic prescription through a medical platform and a patient provides feedback through a first electronic device, the first electronic device actively records and obtains doctor-patient interaction data.

[0046] For example, a user uses a camera to capture diagnosis and treatment data during a medical examination, such as X-rays, CT images, examination reports, etc., and uploads the diagnosis and treatment data as doctor-patient interaction data to the first electronic device.

[0047] For example, the patient's physiological data (such as heart rate, blood pressure, blood oxygen, etc.) is obtained through medical equipment and synchronously transmitted to the first electronic device.

[0048] Step 102: Input the doctor-patient interaction data into a medical guidance information generation model, and output first medical guidance information.

[0049] The first medical guidance information includes at least one of the following:

[0050] Time of medication;

[0051] Review time;

[0052] Treatment period;

[0053] Name of the drug;

[0054] Dosage specifications and administration logic of the drug;

[0055] Daily behavior suggestions.

[0056] Among them, the medical guidance information generation model is based on a deep learning model or a neural network model, and is obtained after training with a large number of training samples.

[0057] Step 103: Display the first medical guidance information.

[0058] Among them, the display method of the first medical guidance information may include at least one of the following: listing key information in separate items, displaying medication / review nodes in a timeline, displaying through visual charts, displaying operation instructions in an enhanced display method, and combining voice broadcast with subtitles.

[0059] For example, for nutritional scenarios such as long-term management of chronic diseases, postoperative rehabilitation plans, and health management, a timeline can be used to display medication / review nodes.

[0060] For example, when administering medication to elderly patients or children, a visual chart can be used to display an overview of the treatment progress management plan.

[0061] For example, for medication scenarios with complex operations, such as the usage instructions of insulin pens, enhanced display can be used to display the medication operations.

[0062] For example, for visually impaired patients or those who have difficulty reading, medical guidance information can be delivered by combining voice broadcast and subtitles.

[0063] For example, see Figure 2 , which shows a schematic diagram of displaying the first medical guidance information to the user in the form of a reminder list, in which key information such as medication, review, and precautions are listed in separate items.

[0064] See also Figure 4, which shows an embodiment of a medical guidance method, comprising the following steps:

[0065] Step 401: Determine whether the user has granted privacy authorization; if so, proceed to step 402; if not, proceed to step 403;

[0066] Step 402: Enter the intelligent accompanying consultation system and record the doctor-patient conversation information;

[0067] Step 403: The user confirms the authorization and continues to execute step 402:

[0068] Step 404: Displaying the first medical guidance information in the form of a reminder list;

[0069] Step 405: Determine whether the list is correct; if so, proceed to step 406; if not, proceed to step 407:

[0070] Step 406: The user / doctor confirms that everything is correct and generates a reminder plan;

[0071] Step 407: Manually adjust the reminder list content;

[0072] Step 408: Remind the user according to the reminder plan.

[0073] In this example, after the user authorizes privacy permissions, the smart assistant's accompanying record function can be activated on a wearable device or smart mobile device during a medical consultation or physical examination. After activating the accompanying function, the device will begin recording the conversation between the patient and the doctor, and use a large model to extract medical advice information such as medication intervals, daily dosage, course of treatment, follow-up, and daily life precautions from the conversation information. Among them, when extracting medical information, the smart assistant will classify and store the extracted information, including but not limited to drug name, dosage, time and frequency of use, and follow-up intervals; after the information is extracted, it will generate a list of precautions for the extracted information and remind the patient to review it.

[0074] In the above embodiment, when a user activates the accompanying medical consultation function, the first electronic device obtains doctor-patient interaction data from the user's medical consultation; inputs this doctor-patient interaction data into a medical guidance information generation model, outputs first medical guidance information, and displays the first medical guidance information. This allows users to accurately provide medical guidance information in complex medical order scenarios, eliminating the need for users to manually edit medical order information and reducing operational complexity. Furthermore, this reduces the risk of patients forgetting or incorrectly executing medical orders, improving the accuracy and timeliness of order execution while also providing users with a personalized health management experience.

[0075] In some embodiments of the present application, the medical guidance method further includes:

[0076] After each treatment session, the first interactive entrance is displayed;

[0077] receiving a first input from the user to the first interactive portal, where the first input is used to describe efficacy evaluation information;

[0078] In response to the first input, sending the therapeutic effect evaluation information to a medical platform;

[0079] Receiving treatment strategy adjustment information sent by the medical platform;

[0080] generating second medical guidance information according to the treatment strategy adjustment information and the first medical guidance information;

[0081] The second medical guidance information is displayed.

[0082] See also Figure 7 , which shows an embodiment of a medical guidance method, comprising the following steps:

[0083] Step 701: Determine whether a course of treatment has ended; if so, execute step 702; if not, execute step 701.

[0084] Step 702: proactively initiate communication with the user, inquire about the user's physical condition and whether the condition has been alleviated, and obtain therapeutic effect evaluation information input by the user.

[0085] For example, at the end of each course of treatment, a floating "Feedback" button will appear on the smart assistant's homepage, prompting users to provide feedback on the treatment's effectiveness. For example, "Your antibiotic course is complete. Click to provide feedback on your treatment." User feedback on treatment evaluation can include photos of the affected area and a description, such as "My symptoms have improved after taking the medicine, but I feel a little uncomfortable in my stomach."

[0086] Step 703: Sending efficacy evaluation information to the medical platform.

[0087] Exemplarily, the treatment strategy adjustment information can be input by a doctor based on the treatment evaluation information, or generated by an AI model based on the treatment evaluation information; it can also be obtained after the AI ​​model generates preliminary treatment strategy adjustment information based on the treatment evaluation information and then reviews or modifies it by a doctor.

[0088] For example, the efficacy evaluation information is sent to the attending physician through the medical cooperation platform so that the attending physician can adjust medical advice information such as medication and obtain treatment strategy adjustment information.

[0089] Step 704: Receive treatment strategy adjustment information sent by the medical platform.

[0090] Step 705: Generate and display second medical guidance information.

[0091] Optionally, the modified part is marked with a special mark in the second medical guidance information to facilitate user viewing.

[0092] In the above embodiment, through deep integration with the medical platform, a real-time and personalized medical guidance service is provided, which not only helps users to execute medical orders on time, but also enhances the interactive experience between users and medical staff. A data-driven medical decision-making cycle from efficacy evaluation to treatment optimization is realized. Compared with the traditional one-time medical order issuance, the embodiment of the present application can improve the accuracy of treatment. Moreover, through systematic reminders and interactions, patients can more easily follow the doctor's advice and maintain a high level of compliance, thereby improving the treatment effect.

[0093] In some embodiments of the present application, the medical guidance method further includes:

[0094] Determining reminder information based on the first medical guidance information, wherein the reminder information includes at least one of the following: medication reminder information and review reminder information;

[0095] According to the reminder information, regularly remind the user to take medicine or check again;

[0096] When a user wears a wearable device, a synchronous reminder message is sent to the wearable device so as to remind the user to take medicine or have a follow-up examination at regular intervals through the wearable device.

[0097] For example, see Figure 5 , the medication reminder process may include:

[0098] Step 501: Determine whether the user is wearing a smart device; if so, execute step 503; if not, execute step 502;

[0099] Step 502: Voice reminder of medication dosage and medication time, and simultaneous display on the screen;

[0100] Step 503: Voice reminder of the dosage and the time to take the medicine is given. The medicine information is displayed synchronously on the smart device, and a vibration is used to remind the user.

[0101] Step 504: Determine whether the reminder has been repeated for a preset number of times; if so, execute step 505; if not, execute step 501:

[0102] Step 505: Determine whether the user has taken the medicine; if so, execute step 506; if not, execute step 507;

[0103] Step 506: Update the next medication reminder time based on the medication time point and schedule interval information;

[0104] Step 507: Complete the current medication reminder and do not adjust the next medication reminder time.

[0105] In this example, the smart assistant will remind the user on time according to the generated reminder plan. For example, when it is time to take medication, the user will be reminded to take the medication and the dosage. If the user is wearing a device such as a smartwatch, the reminder will be conveyed through the watch's vibration. Among them, the medication reminder rules can include:

[0106] A single reminder lasts 30 seconds, and users can click to interrupt the reminder;

[0107] If the user has not confirmed taking the medicine, a reminder will be given every 5 minutes, up to 5 times.

[0108] After the user confirms taking the medicine and punches in, a medicine reminder is completed;

[0109] The medication interval will be postponed according to the last time the user confirmed taking the medicine, achieving intelligent and automatic adjustment.

[0110] It should be noted that the specific reminder interval and reminder duration involved here are only examples and are not intended to be limiting.

[0111] For example, see Figure 6 The review reminder process may include:

[0112] Step 601: Determine whether the review reminder date has arrived and it is not the review day; if so, execute step 602; if not, execute step 603;

[0113] Step 602: Start reminding at 9:00, 12:00 and 16:00;

[0114] Step 603: Determine whether it is the day of the review; if so, execute step 604; if not, repeat step 601;

[0115] Step 604: Determine whether the user has set an alarm reminder; if so, execute step 606; if not, execute step 605;

[0116] Step 605: Default reminder at 8 o'clock in the morning;

[0117] Step 606: Follow the alarm clock to remind the time;

[0118] Step 607: Determine whether the user is wearing a smart device; if so, execute step 609; if not, execute step 608;

[0119] Step 608: Voice reminder of the review time is displayed on the screen simultaneously;

[0120] Step 609: Voice reminder of the review time, simultaneous display of the review time on the smart device, and vibration reminder to the user;

[0121] Step 610: Determine whether the user knows or has repeated the reminder for a preset number of times; if so, execute step 611; if not, execute step 602;

[0122] Step 611: Complete this reminder.

[0123] During specific implementation, the user can customize the number of days to be reminded in advance. For example, the default reminder for the review schedule is one day in advance. The user will be reminded at 9 o'clock, 12 o'clock, and 16 o'clock on the day the reminder starts. After the user clicks "Known", the reminder will not be repeated before the day of the review. If the user does not click "Known", the reminder will be set for the first preset duration (such as 30s) each time a few days before the review, and the interval between repeated single reminders will be the second preset duration (such as 5min), and the first preset number of times will be repeated at most (such as 5 times). On the day of the review, the user will be reminded to go to the hospital for a review together with the user's alarm clock. If the user does not set the alarm clock, the user will be reminded at 8 o'clock in the morning by default, with a single reminder of the third preset duration (such as 30s) and an interval of the fourth preset duration (such as 5min), and the reminder will be repeated at most the second preset number of times. It should be pointed out that the specific reminder time, reminder duration, and preset number here are only examples and are not limited to this.

[0124] As an implementation method, the intelligent assistant will create a planned review schedule based on the first medical guidance information and automatically write it into the local calendar, defaulting it as the highest priority reminder. Optionally, the background can also help users make review appointments.

[0125] In the above embodiment, by determining reminder information based on the first medical guidance information; and reminding the user to take medicine or have a follow-up examination based on the reminder information, it is convenient for the user to plan the time of taking medicine and the follow-up arrangement, and realize real-time tracking and reminder of the user's medical advice matters related to his health, thereby improving the accuracy and timeliness of the execution of medical advice.

[0126] In some embodiments of the present application, after displaying the first medical guidance information, the method further includes:

[0127] receiving a second input from a user regarding the first medical guidance information;

[0128] In response to the second input, modify and update the first medical guidance information;

[0129] The updated first medical guidance information is displayed.

[0130] For example, after the first medical guidance information is extracted based on voice information, if the patient or the attending physician confirms that information such as medication information and follow-up interval is incorrect, the first medical guidance information can be edited and modified to obtain updated first medical guidance information.

[0131] In this embodiment, the first medical guidance information is supported to be edited, corrected or supplemented, which can avoid deviations or omissions in the generated first medical guidance information and ensure the accuracy of the first medical guidance information.

[0132] In some embodiments of the present application, the medical guidance method further includes:

[0133] receiving a third input from the user;

[0134] In response to the third input, a reminder mode setting interface is displayed, wherein the reminder mode setting interface includes at least one reminder mode option.

[0135] Optionally, the reminder method options include but are not limited to at least one of the following:

[0136] Prompt a pop-up notification reminder via the first electronic device;

[0137] AI voice reminders through the first electronic device;

[0138] Providing a vibration reminder through the first electronic device;

[0139] Pop-up notification reminders through wearable devices;

[0140] Vibration reminders via wearable devices;

[0141] AI voice reminders through wearable devices.

[0142] As an implementation method, the third input is a user's touch input to the confirmation control a in the reminder list; in response to the user's touch input to the confirmation control a in the reminder list, the following is displayed: Figure 3 The reminder mode setting interface b is shown.

[0143] As another implementation, the third input is a touch input of the user to the reminder mode setting entry; in response to the user's touch input to the reminder mode setting entry, the display is as follows: Figure 3 The reminder mode setting interface b is shown.

[0144] For example, Figure 3 , the reminder options include: notification reminder (synchronized watch notification reminder when wearing the watch), AI voice broadcast reminder, ringtone reminder, and synchronized watch voice broadcast reminder.

[0145] In some embodiments of the present application, after the treatment course ends or the patient recovers and manually closes it, the medical guidance ends and an encouraging voice is played.

[0146] See also Figure 8 , an embodiment of the present application provides a medical guidance method, applied to a medical platform, the method comprising the following steps:

[0147] Step 801: receiving doctor-patient interaction data sent by a second electronic device;

[0148] For example, a doctor sends doctor-patient interaction data to the medical platform via a second electronic device.

[0149] Step 802: Send the doctor-patient interaction data to a first electronic device; wherein the doctor-patient interaction data is used to generate first medical guidance information.

[0150] For example, the medical platform sends the doctor-patient interaction data to the first electronic device proactively or based on a request from the first electronic device.

[0151] For example, after the user's authorization, the first electronic device can retrieve the user's doctor-patient interaction data from the medical platform through the AI ​​assistant.

[0152] It should be pointed out that doctor-patient interaction data needs to be encrypted during transmission to ensure the privacy and security of users.

[0153] In the above embodiment, the medical platform transmits doctor-patient interaction data to the first electronic device, enabling the first electronic device to generate and display first medical guidance information based on the doctor-patient interaction data. This allows users to accurately provide medical guidance information in complex medical order scenarios, eliminating the need for users to manually edit medical order information and reducing operational complexity. This not only improves the accuracy and timeliness of medical order execution, but also provides users with a personalized health management experience.

[0154] In some embodiments of the present application, after sending the doctor-patient interaction data to the first electronic device, the method further includes:

[0155] receiving therapeutic effect evaluation information sent by the first electronic device;

[0156] sending the therapeutic effect evaluation information to the second electronic device, so that the second electronic device obtains treatment strategy adjustment information according to the therapeutic effect evaluation information;

[0157] receiving treatment strategy adjustment information sent by the second electronic device;

[0158] The treatment strategy adjustment information is sent to the first electronic device.

[0159] Exemplarily, the treatment strategy adjustment information can be input by a doctor based on the treatment evaluation information, or generated by an AI model based on the treatment evaluation information; it can also be obtained after the AI ​​model generates preliminary treatment strategy adjustment information based on the treatment evaluation information and then reviews or modifies it by a doctor.

[0160] Correspondingly, the first electronic device generates and displays second medical guidance information according to the treatment strategy adjustment information and the first medical guidance information, so as to update the medical guidance information according to the treatment progress.

[0161] The medical guidance method provided in the embodiment of the present application can be executed by a medical guidance device. In the embodiment of the present application, the medical guidance device provided in the embodiment of the present application is described by taking the medical guidance method executed by the medical guidance device as an example.

[0162] See also Figure 9 The embodiment of the present application provides a medical guidance device, which is applied to a first electronic device. The device 900 includes:

[0163] Acquisition module 901, for acquiring doctor-patient interaction data during the user's medical consultation process when the user activates the accompanying consultation function;

[0164] Processing module 902 is configured to input the doctor-patient interaction data into a medical guidance information generation model and output first medical guidance information, wherein the first medical guidance information includes at least one of the following: medication time, review time, treatment cycle, medication name, medication dosage specifications and administration logic, and daily behavior recommendations;

[0165] The first display module 903 is configured to display the first medical guidance information.

[0166] Optionally, the acquisition module 901 includes at least one of the following:

[0167] A first acquisition submodule is configured to use the monitored consultation dialogue information as the doctor-patient interaction data;

[0168] A second acquisition submodule is configured to receive the doctor-patient interaction data sent by the medical platform;

[0169] A third acquisition submodule is used to use the diagnosis and treatment data uploaded by the user as the doctor-patient interaction data;

[0170] The fourth acquisition submodule is used to use the user's physiological data acquired through the medical device as doctor-patient interaction data.

[0171] Optionally, the apparatus 900 further includes:

[0172] The second display module is used to display the first interactive entrance after each treatment course is completed;

[0173] A first receiving module is configured to receive a first input from the user to the first interactive portal, where the first input is used to describe efficacy evaluation information;

[0174] a first response module, configured to send the therapeutic effect evaluation information to a medical platform in response to the first input;

[0175] Receiving treatment strategy adjustment information sent by the medical platform;

[0176] a second receiving module, configured to generate second medical guidance information according to the treatment strategy adjustment information and the first medical guidance information;

[0177] The third display module is used to display the second medical guidance information.

[0178] Optionally, the apparatus 900 further includes:

[0179] a determination module, configured to determine reminder information based on the first medical guidance information, wherein the reminder information includes at least one of the following: medication reminder information and review reminder information;

[0180] An output module is used to regularly remind the user to take medication or have a follow-up examination based on the reminder information;

[0181] When a user wears a wearable device, a synchronous reminder message is sent to the wearable device so as to remind the user to take medicine or have a follow-up examination at regular intervals through the wearable device.

[0182] Optionally, the apparatus 900 further includes:

[0183] a third receiving module, configured to receive a second input from a user regarding the first medical guidance information;

[0184] a second response module, configured to modify and update the first medical guidance information in response to the second input;

[0185] The fourth display module is used to display the updated first medical guidance information.

[0186] Optionally, the apparatus 900 further includes:

[0187] a fourth receiving module, configured to receive a third input from a user;

[0188] The third response module is configured to display a reminder mode setting interface in response to the third input, wherein the reminder mode setting interface includes at least one reminder mode option.

[0189] The medical guidance device 900 in the embodiment of the present application can be an electronic device or a component in an electronic device, such as an integrated circuit or a chip. The electronic device can be a terminal or other device other than a terminal. For example, the electronic device can be a mobile phone, a tablet computer, a laptop computer, a PDA, an in-vehicle electronic device, a mobile Internet device (MID), an augmented reality (AR) / virtual reality (VR) device, a robot, a wearable device, an ultra-mobile personal computer (UMPC), a netbook or a personal digital assistant (PDA), etc. It can also be a server, a network attached storage (NAS), a personal computer (PC), a television (TV), a teller machine or a self-service machine, etc., and the embodiment of the present application does not specifically limit it.

[0190] The medical guidance device in the embodiment of the present application may be a device having an operating system. The operating system may be an Android operating system, an iOS operating system, or other possible operating systems, which are not specifically limited in the embodiment of the present application.

[0191] The medical guidance device provided in the embodiment of the present application can achieve Figures 1 to 7 To avoid repetition, the various processes implemented in the method embodiment are not described here.

[0192] See also Figure 10 The present invention provides a medical guidance device for use on a medical platform. The device 1000 includes:

[0193] A fifth receiving module 1001 is configured to receive doctor-patient interaction data sent by a second electronic device;

[0194] The first sending module 1002 is used to send the doctor-patient interaction data to the first electronic device; wherein the doctor-patient interaction data is used to generate first medical guidance information, and the first medical guidance information includes at least one of the following: medication time, review time, treatment cycle, drug name, drug dosage specifications and taking logic, and daily behavior recommendations.

[0195] Optionally, the apparatus 1000 further includes:

[0196] a sixth receiving module, configured to receive the therapeutic effect evaluation information sent by the first electronic device;

[0197] a second sending module, configured to send the therapeutic effect evaluation information to the second electronic device, so that the second electronic device obtains treatment strategy adjustment information according to the therapeutic effect evaluation information;

[0198] a seventh receiving module, configured to receive treatment strategy adjustment information sent by the second electronic device;

[0199] The third sending module is configured to send the treatment strategy adjustment information to the first electronic device.

[0200] The medical guidance device 1000 in the embodiment of the present application can be an electronic device or a component in an electronic device, such as an integrated circuit or a chip. The electronic device can be a terminal or other devices other than a terminal. For example, the electronic device can be a mobile phone, a tablet computer, a laptop computer, a PDA, an in-vehicle electronic device, a mobile Internet device (MID), an augmented reality (AR) / virtual reality (VR) device, a robot, a wearable device, an ultra-mobile personal computer (UMPC), a netbook or a personal digital assistant (PDA), etc. It can also be a server, a network attached storage (NAS), a personal computer (PC), a television (TV), a teller machine or a self-service machine, etc., and the embodiment of the present application does not specifically limit it.

[0201] The medical guidance device in the embodiment of the present application may be a device having an operating system. The operating system may be an Android operating system, an iOS operating system, or other possible operating systems, which are not specifically limited in the embodiment of the present application.

[0202] The medical guidance device provided in the embodiment of the present application can achieve Figure 8 To avoid repetition, the various processes implemented in the method embodiment are not described here.

[0203] Alternatively, as Figure 11As shown, an embodiment of the present application also provides an electronic device 1100, which serves as a first electronic device and includes a processor 1101 and a memory 1102. The memory 1102 stores programs or instructions that can be run on the processor 1101. When the program or instructions are executed by the processor 1101, the various steps of the above-mentioned medical guidance method embodiment are implemented and the same technical effect can be achieved. To avoid repetition, they will not be repeated here.

[0204] It should be noted that the electronic devices in the embodiments of the present application include the mobile electronic devices and non-mobile electronic devices mentioned above.

[0205] Figure 12 A schematic diagram of the hardware structure of an electronic device implementing an embodiment of the present application.

[0206] The electronic device 1200 serves as a first electronic device, including but not limited to: a radio frequency unit 1201, a network module 1202, an audio output unit 1203, an input unit 1204, a sensor 1205, a display unit 1206, a user input unit 1207, an interface unit 1208, a memory 1209, and a processor 1210.

[0207] Those skilled in the art will understand that the electronic device 1200 may also include a power source (such as a battery) to power each component, and the power source may be logically connected to the processor 1210 through a power management system, thereby implementing functions such as charging, discharging, and power consumption management through the power management system. Figure 12 The electronic device structure shown in the figure does not constitute a limitation on the electronic device. The electronic device may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently, which will not be repeated here.

[0208] Processor 1210 is configured to, when the user activates the accompanying consultation function, obtain doctor-patient interaction data during the user's consultation; input the doctor-patient interaction data into a medical guidance information generation model, and output first medical guidance information, the first medical guidance information including at least one of the following: medication time, review time, treatment cycle, medication name, medication dosage specifications and administration logic, and daily behavior recommendations;

[0209] The display unit 1206 is configured to display the first medical guidance information.

[0210] Optionally, the processor 1210 is further configured to perform at least one of the following:

[0211] Using the monitored medical consultation dialogue information as the doctor-patient interaction data;

[0212] Receiving the doctor-patient interaction data sent by the medical platform;

[0213] Using the diagnosis and treatment data uploaded by the user as the doctor-patient interaction data;

[0214] The user's physiological data obtained through medical devices is used as doctor-patient interaction data.

[0215] The display unit 1206 is further configured to display the first interactive entrance after each treatment session.

[0216] The user input unit 1207 is configured to receive a first input from the user to the first interactive portal, where the first input is used to describe therapeutic effect evaluation information;

[0217] The radio frequency unit 1201 is configured to send the therapeutic effect evaluation information to the medical platform in response to the first input; and receive the treatment strategy adjustment information sent by the medical platform;

[0218] The processor 1210 is further configured to generate second medical guidance information according to the treatment strategy adjustment information and the first medical guidance information;

[0219] The display unit 1206 is further configured to display the second medical guidance information.

[0220] Optionally, the processor 1210 is further configured to determine reminder information based on the first medical guidance information, where the reminder information includes at least one of the following: medication reminder information and review reminder information; and based on the reminder information, regularly remind the user to take medication or review.

[0221] The radio frequency unit 1201 is further configured to send synchronous reminder information to the wearable device when the user wears the wearable device, so as to remind the user to take medication or undergo a follow-up examination at regular intervals through the wearable device.

[0222] Optionally, the radio frequency unit 1201 is further configured to receive a second input from a user regarding the first medical guidance information;

[0223] The processor 1210 is further configured to modify and update the first medical guidance information in response to the second input;

[0224] The display unit 1206 is further configured to display the updated first medical guidance information.

[0225] Optionally, the radio frequency unit 1201 is further configured to receive a third input from the user;

[0226] The display unit 1206 is further configured to display a reminder mode setting interface in response to the third input, where the reminder mode setting interface includes at least one reminder mode option.

[0227] In the above solution, when the user activates the accompanying consultation function, the first electronic device obtains doctor-patient interaction data during the user's consultation; inputs this doctor-patient interaction data into a medical guidance information generation model, outputs first medical guidance information, and displays the first medical guidance information. This embodiment eliminates the need for users to manually edit medical advice information, reduces operational complexity, and accurately provides medical guidance information to users in complex medical advice scenarios.

[0228] It should be understood that in an embodiment of the present application, the input unit 1204 may include a graphics processing unit (GPU) 12041 and a microphone 12042, and the graphics processor 12041 processes the image data of a static picture or video obtained by an image capture device (such as a camera) in a video capture mode or an image capture mode. The display unit 1206 may include a display panel 12061, and the display panel 12061 may be configured in the form of a liquid crystal display, an organic light emitting diode, etc. The user input unit 1207 includes a touch panel 12071 and at least one of other input devices 12072. The touch panel 12071 is also called a touch screen. The touch panel 12071 may include two parts: a touch detection device and a touch controller. Other input devices 12072 may include, but are not limited to, a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which will not be repeated here.

[0229] The memory 1209 can be used to store software programs and various data. The memory 1209 may mainly include a first storage area for storing programs or instructions and a second storage area for storing data, wherein the first storage area may store an operating system, applications or instructions required for at least one function (such as a sound playback function, an image playback function, etc.). In addition, the memory 1209 may include a volatile memory or a non-volatile memory, or the memory 1209 may include both volatile and non-volatile memory. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be random access memory (RAM), static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct RAM bus random access memory (DRRAM). The memory 1209 in the embodiment of the present application includes but is not limited to these and any other suitable types of memory.

[0230] Processor 1210 may include one or more processing units. Optionally, processor 1210 integrates an application processor and a modem processor. The application processor primarily handles operations related to the operating system, user interface, and application programs, while the modem processor primarily processes wireless communication signals, such as a baseband processor. It is understood that the modem processor may not be integrated into processor 1210.

[0231] Alternatively, as Figure 13As shown, an embodiment of the present application further provides an electronic device 1300, which serves as a medical platform and includes a processor 1301 and a memory 1302. The memory 1302 stores programs or instructions that can be run on the processor 1301. When the program or instructions are executed by the processor 1301, the various steps of the above-mentioned medical guidance method embodiment are implemented and the same technical effect can be achieved. To avoid repetition, they will not be repeated here.

[0232] It should be noted that the electronic devices in the embodiments of the present application include the mobile electronic devices and non-mobile electronic devices mentioned above.

[0233] Figure 14 A schematic diagram of the hardware structure of an electronic device implementing an embodiment of the present application.

[0234] The electronic device 1400 serves as a medical platform, including but not limited to: a radio frequency unit 1401, a network module 1402, an audio output unit 1403, an input unit 1404, a sensor 1405, a display unit 1406, a user input unit 1047, an interface unit 1408, a memory 1409, and a processor 1410.

[0235] Those skilled in the art will understand that the electronic device 1400 may also include a power source (such as a battery) to power each component, and the power source may be logically connected to the processor 1410 through a power management system, thereby implementing functions such as charging, discharging, and power consumption management through the power management system. Figure 14 The electronic device structure shown in the figure does not constitute a limitation on the electronic device. The electronic device may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently, which will not be repeated here.

[0236] Among them, the radio frequency unit 1401 is used to receive the doctor-patient interaction data sent by the second electronic device; and send the doctor-patient interaction data to the first electronic device; wherein the doctor-patient interaction data is used to generate first medical guidance information, and the first medical guidance information includes at least one of the following: medication time, review time, treatment cycle, drug name, drug dosage specifications and taking logic, and daily behavior recommendations.

[0237] Optionally, the radio frequency unit 1401 is also used to receive efficacy evaluation information sent by the first electronic device; send the efficacy evaluation information to the second electronic device so that the second electronic device obtains treatment strategy adjustment information based on the efficacy evaluation information; receive the treatment strategy adjustment information sent by the second electronic device; and send the treatment strategy adjustment information to the first electronic device.

[0238] In the above embodiment, the medical platform transmits doctor-patient interaction data to the first electronic device, enabling the first electronic device to generate and display first medical guidance information based on the doctor-patient interaction data. This allows users to accurately provide medical guidance information in complex medical order scenarios, eliminating the need for users to manually edit medical order information and reducing operational complexity. This not only improves the accuracy and timeliness of medical order execution, but also provides users with a personalized health management experience.

[0239] It should be understood that in an embodiment of the present application, the input unit 1404 may include a graphics processing unit (GPU) 14041 and a microphone 14042, and the graphics processor 14041 processes the image data of a static picture or video obtained by an image capture device (such as a camera) in a video capture mode or an image capture mode. The display unit 1406 may include a display panel 14061, and the display panel 14061 may be configured in the form of a liquid crystal display, an organic light emitting diode, etc. The user input unit 1407 includes a touch panel 14071 and at least one of other input devices 14072. The touch panel 14071 is also called a touch screen. The touch panel 14071 may include two parts: a touch detection device and a touch controller. Other input devices 14072 may include, but are not limited to, a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, and an operating stick, which will not be repeated here.

[0240] The memory 1409 can be used to store software programs and various data. The memory 1409 may mainly include a first storage area for storing programs or instructions and a second storage area for storing data, wherein the first storage area may store an operating system, applications or instructions required for at least one function (such as a sound playback function, an image playback function, etc.). In addition, the memory 1409 may include a volatile memory or a non-volatile memory, or the memory 1409 may include both volatile and non-volatile memory. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. Volatile memory can be random access memory (RAM), static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct RAM bus random access memory (DRRAM). The memory 1409 in the embodiment of the present application includes but is not limited to these and any other suitable types of memory.

[0241] Processor 1410 may include one or more processing units. Optionally, processor 1410 integrates an application processor and a modem processor. The application processor primarily handles operations related to the operating system, user interface, and application programs, while the modem processor primarily processes wireless communication signals, such as a baseband processor. It is understood that the modem processor may not be integrated into processor 1410.

[0242] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the various processes of the above-mentioned medical guidance method embodiment are implemented and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0243] The processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0244] An embodiment of the present application further provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned medical guidance method embodiment and achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0245] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0246] An embodiment of the present application provides a computer program product, which is stored in a storage medium. The program product is executed by at least one processor to implement the various processes of the above-mentioned medical guidance method embodiment and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0247] It should be noted that, in this article, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the statement "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device comprising the element. In addition, it should be noted that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in the opposite order according to the functions involved. For example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0248] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), including a number of instructions for enabling a terminal (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in each embodiment of the present application.

[0249] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of this application, ordinary technicians in this field can also make many forms without departing from the purpose of this application and the scope of protection of the claims, all of which are within the protection of this application.

Claims

1. A medical guidance method, characterized in that: The method comprises: When the user activates the accompanying consultation function, obtain the doctor-patient interaction data during the user's consultation process; Inputting the doctor-patient interaction data into a medical guidance information generation model to output first medical guidance information, wherein the first medical guidance information includes at least one of the following: medication time, review time, treatment cycle, medication name, medication dosage specifications and administration logic, and daily behavior recommendations; The first medical guidance information is displayed.

2. The medical guidance method according to claim 1, characterized in that: The acquisition of doctor-patient interaction data during the user's medical consultation process includes at least one of the following: Using the monitored medical consultation dialogue information as the doctor-patient interaction data; Receiving the doctor-patient interaction data sent by the medical platform; Using the diagnosis and treatment data uploaded by the user as the doctor-patient interaction data; The user's physiological data obtained through the medical device is used as the doctor-patient interaction data.

3. The medical guidance method according to claim 1, characterized in that: The method further comprises: After each treatment session, the first interactive entrance is displayed; receiving a first input from the user to the first interactive portal, where the first input is used to describe efficacy evaluation information; In response to the first input, sending the therapeutic effect evaluation information to a medical platform; Receiving treatment strategy adjustment information sent by the medical platform; generating second medical guidance information according to the treatment strategy adjustment information and the first medical guidance information; The second medical guidance information is displayed.

4. The medical guidance method according to claim 1, characterized in that: The method further comprises: Determining reminder information based on the first medical guidance information, wherein the reminder information includes at least one of the following: medication reminder information and review reminder information; According to the reminder information, regularly remind the user to take medicine or check again; When a user wears a wearable device, a synchronous reminder message is sent to the wearable device so as to remind the user to take medicine or have a follow-up examination at regular intervals through the wearable device.

5. The medical guidance method according to claim 1, characterized in that: After displaying the first medical guidance information, the method further includes: receiving a second input from a user regarding the first medical guidance information; In response to the second input, modify and update the first medical guidance information; The updated first medical guidance information is displayed.

6. A medical guidance device, characterized in that: The device comprises: The acquisition module is used to obtain the doctor-patient interaction data during the user's medical consultation process when the user activates the accompanying consultation function; a processing module, configured to input the doctor-patient interaction data into a medical guidance information generation model and output first medical guidance information, wherein the first medical guidance information includes at least one of the following: medication time, review time, treatment cycle, medication name, medication dosage specifications and administration logic, and daily behavior recommendations; The first display module is used to display the first medical guidance information.

7. The medical guidance device according to claim 6, characterized in that: The acquisition module includes at least one of the following: A first acquisition submodule is configured to use the monitored consultation dialogue information as the doctor-patient interaction data; A second acquisition submodule is configured to receive the doctor-patient interaction data sent by the medical platform; A third acquisition submodule is used to use the diagnosis and treatment data uploaded by the user as the doctor-patient interaction data; The fourth acquisition submodule is configured to use the user physiological data acquired through the medical device as the doctor-patient interaction data.

8. The medical guidance device according to claim 6, characterized in that: The device further comprises: The second display module is used to display the first interactive entrance after each treatment course is completed; A first receiving module is configured to receive a first input from the user to the first interactive portal, where the first input is used to describe efficacy evaluation information; a first response module, configured to send the therapeutic effect evaluation information to a medical platform in response to the first input; Receiving treatment strategy adjustment information sent by the medical platform; a second receiving module, configured to generate second medical guidance information according to the treatment strategy adjustment information and the first medical guidance information; The third display module is used to display the second medical guidance information.

9. The medical guidance device according to claim 6, characterized in that: The device further comprises: a determination module, configured to determine reminder information based on the first medical guidance information, wherein the reminder information includes at least one of the following: medication reminder information and review reminder information; An output module is used to regularly remind the user to take medication or have a follow-up examination based on the reminder information; When a user wears a wearable device, a synchronous reminder message is sent to the wearable device so as to remind the user to take medicine or have a follow-up examination at regular intervals through the wearable device.

10. The medical guidance device according to claim 6, characterized in that: The device further comprises: a third receiving module, configured to receive a second input from a user regarding the first medical guidance information; a second response module, configured to modify and update the first medical guidance information in response to the second input; The fourth display module is used to display the updated first medical guidance information.

Images