Automated remote medical control system

Abstract

An automated remote medical control system includes at least one cloud server, multiple treatment platforms, and multiple robots. The cloud server includes a receiving and transferring unit, a data unit, a processing unit, and a reward unit. The receiving and transferring unit receives medical record data transferred from each treatment platform. The data unit has a standard database and a therapist database. The processing unit processes the medical record data and analyzes and compares it with the standard database and the therapist database to generate at least one standard treatment plan. This plan is then transmitted back to each treatment platform via the receiving and transferring unit to drive the robots to perform corresponding treatment operations on the patient. Simultaneously, therapists can develop new treatment plans or modify existing plans to improve the accuracy of treatment.

Description

Technical Field

[0001] The present invention relates to a medical control system, in particular to an automated remote medical control system. Prior Art

[0002] In the current physical therapy field, physical therapists typically first listen to the patient's needs, then use their expertise and experience to individually assess and determine the patient's needs before providing treatment or rehabilitation based on the patient's needs. However, the biggest challenge in the physical therapy industry is that the time allocated to each patient is fixed. If the assessment time is too long, it will squeeze the time for rehabilitation treatment, resulting in insufficient rehabilitation time.

[0003] Therefore, to address the above shortcomings, the inventors have designed an artificial intelligence automated testing and rehabilitation system. This system uses a storage unit to store the diagnosis and treatment data of multiple subjects for training of a machine learning engine. A visual interpretation model is established through a machine learning algorithm. All assessments and rehabilitation plans can be modularized to achieve standardized rehabilitation methods, allowing for accurate assessments to be completed quickly and efficiently, thereby reducing the workload of physical therapists. However, this system can only provide standard treatment plans and lacks edge computing capabilities on the diagnosis and treatment side, making it unable to make individual adjustments to meet the needs of various conditions. Therefore, there is a need for improvement.

[0004] In view of this, the inventors, through active thinking, prototype testing and improvement, have developed an improved solution for automated remote medical control system that can completely solve or effectively improve many shortcomings of conventional solutions. Summary of the Invention

[0005] The present invention discloses an automated remote medical control system, which includes at least one cloud server, the cloud server includes a receiving and transferring unit, a data unit, a processing unit and a reward unit, the receiving and transferring unit, the data unit and the reward unit are respectively connected to the processing unit, the receiving and transferring unit is used to receive the medical records of patients transferred by each diagnosis and treatment platform, the data unit has a standard database and a therapist database, the processing unit calculates the medical record data, and analyzes and compares it with the standard database and the therapist database to generate at least one standard treatment plan, and transmits it back to each diagnosis and treatment platform through the receiving and transferring unit, in addition, the reward unit is used to provide rewards; a plurality of diagnosis and treatment platforms, which are connected to the cloud server via a network, each of the diagnosis and treatment platforms includes a storage module, a receiving and transferring module and a processing module The storage module is used to store the medical records generated after each patient is evaluated in the clinic. The receiving and transferring module is connected to the storage module. The receiving and transferring module transfers the medical records to the receiving and transferring unit of the cloud server and can receive the standard treatment plan at the same time. The processing module is connected to the receiving and transferring module. The processing module provides the standard treatment plan for the therapist to choose. If the therapist does not choose the standard treatment plan, he or she can generate a new therapist treatment plan in the processing module and output the selected treatment plan to at least one robot; a plurality of robots with artificial intelligence, each of which is wirelessly connected to each of the diagnosis and treatment platforms, and each of which has a control module and a plurality of robotic arms. The robotic arms are connected to the control module. The control module is used to receive instructions from the processing module and drive the robotic arms to perform corresponding treatment operations on the patient.

[0006] The standard database stores a plurality of standard treatment methods, and the therapist database stores a plurality of treatment methods previously generated by therapists.

[0007] The processing unit has an encoder that can first encode the treatment methods in the standard database and the treatment methods generated by the former therapists in the therapist database.

[0008] The processing unit can also generate at least one previous therapist's treatment plan after calculating, analyzing and comparing the medical record data.

[0009] Among them, the receiving and flipping module can also receive the treatment plan of the previous therapist.

[0010] The processing module has a decoder, through which the processing module can decode the encoded standard treatment plan and / or the previous therapist's treatment plan for the therapist to choose.

[0011] Through the above structure, since the processing module is an edge computing host, it can monitor the treatment process in real time and provide information to the therapist. At the same time, the therapist can also develop new treatment plans or modify plans through the processing module to improve the accuracy of the treatment. Among them, if the therapist chooses the treatment plan of the previous therapist, the reward unit will also calculate the reward fee for each case and distribute the reward to the original developer therapist, thereby achieving a win-win effect for the system issuer and the therapist. Therefore, the therapist is willing to spare more time to develop new treatment plans, making the physical therapy system more complete and enabling patients to receive better medical care. Simple diagram description

[0012]

[0013] [Figure 1] is a system block diagram of a preferred embodiment of the present invention.

[0014] [Figure 2] is a flow chart of a preferred embodiment of the present invention. Implementation Method

[0015] Please refer to FIG. 1 and FIG. 2 , which are a system block diagram and a flow chart of a preferred embodiment of the present invention, which discloses an automated remote medical control system comprising:

[0016] At least one cloud server 10, the cloud server 10 includes a receiving and transferring unit 11, a data unit 12, a processing unit 13 and a reward unit 14, the receiving and transferring unit 11, the data unit 12 and the reward unit 14 are respectively connected to the processing unit 13, the receiving and transferring unit 11 is used to receive the medical records of patients transferred by each diagnosis and treatment platform 20, the data unit 12 has a standard database 121 and a therapist database 122, the standard database 121 stores a plurality of standard treatment methods, the therapist database 122 can be The processing unit 13 is provided with an encoder 131 for storing treatment methods generated by a plurality of former therapists. The encoder 131 can first encode the treatment methods and the treatment methods generated by the former therapists. The processing unit 13 calculates the medical record data, analyzes and compares it with the standard database 121 and the therapist database 122, generates at least one standard treatment plan, and transmits it back to each of the diagnosis and treatment platforms 20 via the receiving and transmitting unit 11. In addition, the reward unit 14 is used to provide rewards (such as a surcharge on diagnosis and treatment costs or points).

[0017] The processing unit 13 can also generate at least one previous therapist's treatment plan after computing, analyzing and comparing the medical record data.

[0018] The plurality of diagnosis and treatment platforms 20 are shown in the figure as two as an example, but the number is not limited to this embodiment. The diagnosis and treatment platforms 20 are connected to the cloud server 10 via a network. Each diagnosis and treatment platform 20 includes a storage module 21, a receiving and transferring module 22, and a processing module 23. The storage module 21 is used to store the medical records and medical information generated after each patient is evaluated at the clinic, and also stores the data in the standard database 121 and the therapist database 122. The receiving and transferring module 22 is connected to the storage module 21. The receiving and transferring module 22 transfers the medical records to the receiving and transferring unit 11 of the cloud server 10 and can receive the standard treatment plan and / or the previous therapist's treatment plan. The processing module 23 is connected to the receiving and transferring module 22 and has a decoder 231. The processing module 23 is an edge computing host. The processing module 23 can decode the encoded standard treatment plan and / or the previous therapist's treatment plan through the decoder 231 and provide it for the therapist to choose. If the therapist does not choose the standard treatment plan and / or the previous therapist's treatment plan, the processing module 23 can generate a new therapist treatment plan on its own, output the selected treatment plan to at least one robot 30, and transmit it back to the cloud server 10 through the receiving and flipping module 22 for recording and storage to facilitate subsequent responsibility clarification.

[0019] A plurality of robots 30 with artificial intelligence (AI) are provided, and each of the robots 30 is wirelessly connected to each of the diagnosis and treatment platforms 20. Each of the robots 30 has a control module 31 and a plurality of robotic arms 32. The robotic arms 32 are connected to the control module 31. The control module 31 is used to receive instructions from the processing module 23 and drive the robotic arms 32 to perform corresponding treatment operations on the patient. At the same time, the control module 31 uses the robotic arms 32 to evaluate the condition (symptoms) of each patient to generate the medical record data.

[0020] To further understand the structural features, technical means, and intended effects of the present invention, the following description of the use of the present invention is provided. It is believed that this will provide a deeper and more detailed understanding of the present invention, as described below:

[0021] Continuing to refer to FIG. 2 and FIG. 1 , the system of the present invention can be applied in various medical fields (such as rehabilitation treatment and surgical treatment). In this embodiment, rehabilitation treatment is taken as an example. First, when a patient visits a local clinic, the control module 31 uses the robotic arms 32 to evaluate the patient's condition (symptoms) to generate the medical record data. The storage module 21 stores the medical record data generated after the evaluation of each patient. The receiving and transferring module 22 transfers the medical record data to the receiving and transferring unit 11 of the cloud server 10. The processing unit 13 processes the medical record data. After the operation, the encoded standard treatment plan and / or the previous therapist's treatment plan are analyzed and compared with the standard database 121 and the therapist database 122, and the encoded standard treatment plan and / or the previous therapist's treatment plan can be generated and transmitted back to each diagnosis and treatment platform 20 via the receiving and casting unit 11. At this time, the processing module 23 can decode the encoded standard treatment plan and / or the previous therapist's treatment plan through the decoder 231 for the therapist to choose, and then output the selected treatment plan to the robot 30, so that the control module 31 drives the robotic arms 32 to perform corresponding treatment operations on the patient.

[0022] If the therapist chooses the previous therapist's treatment plan, the screen of the processing module 23 will display the previous therapist's relevant information. At the same time, the reward unit 14 will calculate the reward fee for each case and distribute the reward to the original therapist. If the therapist feels that the above treatment plans are not suitable and does not choose to use them, the therapist can develop a new treatment plan or modify the plan in the processing module 23 to generate a new therapist treatment plan, and can further apply for the new therapist treatment plan (or the patient provides feedback and the cloud server 10 proposes it on its own). After approval by the cloud server 10, it will be changed to the previous therapist's treatment plan and added to the therapist database 122 as one of the plans provided to other therapists for selection in the future. On the contrary, if the cloud server 10 does not approve it, the therapist will be notified to make corresponding modifications and adjustments to the new therapist treatment plan and then submit it to the cloud server 10 for review again.

[0023] The reward period for the former therapist's treatment plan is two years, and the plan will be automatically included in the standard database 121 for comparison by the processing unit 13.

[0024] It is worth mentioning that since the processing module 23 is an edge computing host, it can monitor the treatment process in real time and provide information to the therapist. At the same time, the therapist can also develop new treatment plans or modify plans through the processing module 23 to improve the accuracy of the treatment. When the system becomes more mature, the cloud server 10 can confirm and open the corresponding treatment plan to the therapist to decide whether to directly operate the robot 30 in the future, without the need for the therapist to make a choice.

[0025] In summary, the present invention has excellent practicality and advancements compared to similar products. Furthermore, after thoroughly reviewing technical information on this type of structure both domestically and internationally, no similar structure has been found in the literature. Therefore, the present invention meets the requirements for an invention patent, and an application is filed in accordance with the law.

[0026] However, the above is only one preferred embodiment of the present invention. Therefore, all equivalent structural changes made by applying the present description and the scope of the patent application should be included in the patent scope of the present invention.

[0027]

[0028] 10: Cloud Server

[0029] 11: Receiving and throwing unit

[0030] 12: Data unit

[0031] 121: Standard Database

[0032] 122: Therapist Database

[0033] 13: Processing unit

[0034] 131: Encoder

[0035] 14: Reward Unit

[0036] 20: Diagnosis and Treatment Platform

[0037] 21: Storage Module

[0038] 22: Receive the throwing module

[0039] 23: Processing module

[0040] 231:Decoder

[0041] 30: Robot

[0042] 31: Control module

[0043] 32: Robotic Arm

Claims

1. An automated remote medical control system, comprising: at least one cloud server, the cloud server including a receiving and forwarding unit, a data unit, a processing unit, and a reward unit, the receiving and forwarding unit, the data unit, and the reward unit being respectively connected to the processing unit; the receiving and forwarding unit being configured to receive patient medical records forwarded by various diagnosis and treatment platforms; the data unit comprising a standard database and a therapist database; the processing unit performing operations on the medical records, analyzing and comparing the medical records with the standard database and the therapist database to generate at least one standard treatment plan, which is then transmitted back to each diagnosis and treatment platform via the receiving and forwarding unit; and the reward unit being configured to provide rewards; A plurality of diagnosis and treatment platforms are connected to the cloud server via a network. Each diagnosis and treatment platform includes a storage module, a receiving and transferring module, and a processing module. The storage module is used to store the medical records generated after each patient is evaluated in the clinic. The receiving and transferring module is connected to the storage module and transfers the medical records to the receiving and transferring unit of the cloud server. The receiving and transferring module can also receive the standard treatment plan. The processing module is connected to the receiving and transferring module and provides the standard treatment plan for the therapist to select. If the therapist does not select the standard treatment plan, the processing module can generate a new treatment plan for the therapist in the processing module and output the selected treatment plan to at least one robot. A plurality of robots with artificial intelligence are wirelessly connected to each diagnosis and treatment platform. Each robot has a control module and a plurality of robotic arms. The robotic arms are connected to the control module. The control module is used to receive instructions from the processing module and drive the robotic arms to perform corresponding treatment operations on the patient.

2. The automated remote medical control system of claim 1, wherein: The standard database stores a plurality of standard treatment methods, and the therapist database stores a plurality of treatment methods previously generated by therapists.

3. The automated remote medical control system as described in claim 2, wherein: The processing unit has an encoder that can first encode the treatment methods in the standard database and the treatment methods generated by the former therapists in the therapist database.

4. The automated remote medical control system as described in claim 3, wherein: The processing unit can also generate at least one previous therapist's treatment plan after performing calculations, analysis, and comparison on the medical record data.

5. The automated remote medical control system as described in claim 4, wherein: The receiving and transferring module can also receive the treatment plan of the former therapist.

6. The automated remote medical control system as described in claim 4, wherein: The processing module has a decoder, and the processing module can decode the encoded standard treatment plan and / or the previous therapist's treatment plan through the decoder for the therapist to select.

7. The automated remote medical control system as described in claim 4, wherein: If the therapist chooses the treatment plan of the former therapist, the reward unit will calculate the reward fee for each case and pay the reward to the original therapist.

8. The automated remote medical control system as described in claim 2, wherein: The storage module stores the data in the standard database and the therapist database at the same time.

9. The automated remote medical control system of claim 1, wherein: The processing module is an edge computing host.

10. The automated remote medical control system as described in claim 1, wherein: This system can be applied in the medical fields of rehabilitation treatment and surgical treatment.

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