TWI895216B - Automated remote medical control system - Google Patents

Abstract

An automated remote medical control system includes at least one cloud server, a plurality of diagnosis platforms, and a plurality of robots. The cloud server includes a receiving and forwarding unit, a data unit, a processing unit, and a reward unit. The receiving and forwarding unit is used to receive the medical record data forwarded by each diagnosis platform. The data unit has a standard database and a therapist database. The treatment unit computes the medical record data 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 diagnostic platform via the receiving and transmitting unit, instructing the robots to perform the corresponding treatment on the patient. Simultaneously, therapists can independently develop new or modify treatment plans to enhance treatment accuracy.

Description

Automated remote medical control system

The present invention relates to a medical control system, and in particular to an automated remote medical control system.

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 judge the patient's needs, and then provide 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 treatment time.

To address these shortcomings, the inventors have designed an artificial intelligence-based automated testing and rehabilitation system. This system uses a storage unit to store the diagnostic data of multiple subjects for machine learning and training. A visual interpretation model is then built using a machine learning algorithm. All assessments and rehabilitation plans are modularized to achieve standardized rehabilitation methods, enabling accurate assessments to be completed quickly and efficiently, thereby reducing the workload of physical therapists. However, this system only provides standard treatment plans and lacks edge computing capabilities on the diagnostic side, making it unable to tailor the system to meet the needs of various conditions. Therefore, improvement is necessary.

With this in mind, the inventors, through active thinking, prototype testing, and refinement, developed an improved automated remote medical control system that completely resolves or effectively improves many of the shortcomings of the current solution.

The present invention discloses an automated remote medical control system, which includes at least one cloud server. The cloud server includes 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 are respectively connected to the processing unit. The receiving and forwarding unit is used to receive the medical records of patients forwarded by each diagnosis platform. The data unit has a standard database and a therapist qualification system. The processing unit calculates the medical record data and then analyzes and compares it with the standard database and the therapist database to generate at least one standard treatment plan, which is then transmitted back to each diagnosis platform via the receiving and transmitting unit. In addition, the reward unit is used to provide rewards. The plurality of diagnosis platforms are connected to the cloud server via a network. Each diagnosis platform includes a storage module, a receiving and transmitting module, and a processing module. The storage module is used to store the medical records generated after each patient is evaluated at 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, then The processing module can independently generate a new therapist treatment plan and output the selected treatment plan to at least one robot. Multiple robots with artificial intelligence are wirelessly connected to the respective diagnostic platforms. Each robot has a control module and multiple 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.

The standard database stores multiple standard treatment methods, and the therapist database stores multiple treatment methods previously generated by therapists.

The processing unit includes 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.

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.

The receiving and transferring module can also receive the treatment plan from the previous therapist.

The processing module has a decoder that can decode the encoded standard treatment plan and/or the previous therapist's treatment plan for the therapist to select.

With this structure, the processing module, as an edge computing host, can monitor the treatment process in real time and provide information to therapists. Therapists can also use the processing module to develop new or modified treatment plans, thereby improving treatment accuracy. If a therapist selects a treatment plan from a previous therapist, the reward unit will calculate a reward fee for each plan and distribute it to the original developer. This creates a win-win situation for both the system developer and the therapist. This encourages therapists to devote more time to developing new treatment plans, further improving the physical therapy system and ensuring better patient care.

10: Cloud Server

11: Receive and transmit unit

12: Data unit

121:Standard database

122: Therapist Database

13: Processing unit

131: Encoder

14: Reward Unit

20: Diagnostic Platform

21: Storage Module

22: Receive and transmit module

23: Processing Module

231: Decoder

30: Robot

31: Control Module

32: Robotic Arm

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

[Figure 2] is a schematic diagram of the process of a preferred embodiment of the present invention.

Please refer to Figures 1 and 2, which are a system block diagram and a flow chart of a preferred embodiment of the present invention. They disclose an automated remote medical control system comprising:

At least one cloud server 10, the cloud server 10 includes a receiving and forwarding unit 11, a data unit 12, a processing unit 13 and a reward unit 14, the receiving and forwarding unit 11, the data unit 12 and the reward unit 14 are respectively connected to the processing unit 13, the receiving and forwarding unit 11 is used to receive the medical records of patients forwarded by each diagnosis 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 stores multiple treatment methods generated by 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 and analyzes and compares it with the standard database 121 and the therapist database 122 to generate at least one standard treatment plan. The standard treatment plan is then transmitted back to each diagnosis platform 20 via the receiving and transmitting unit 11. In addition, the reward unit 14 is used to provide rewards (such as a bonus on diagnosis fees or points).

The processing unit 13 can also generate at least one previous therapist's treatment plan after performing calculations, analysis, and comparison on the medical record data.

The plurality of diagnosis platforms 20 are shown as two in the figure, but the number is not limited to the embodiment. The diagnosis platforms 20 are connected to the cloud server 10 via a network. Each diagnosis 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 data generated after each patient is evaluated at the clinic. The medical records and medical information are stored 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. The processing module 23 is connected to the receive and transmit module 22 and has a decoder 231. The processing module 23 is an edge computing host. The decoder 231 decodes the encoded standard treatment plan and/or the previous therapist's treatment plan for the therapist to select. If the therapist does not select the standard treatment plan and/or the previous therapist's treatment plan, the processing module 23 can generate a new therapist's treatment plan, output the selected treatment plan to at least one robot 30, and transmit it back to the cloud server 10 via the receiving and forwarding module 22 for recording and storage to facilitate subsequent responsibility clarification.

Multiple robots 30 equipped with artificial intelligence (AI) are wirelessly connected to the diagnostic platforms 20. Each robot 30 has a control module 31 and multiple robotic arms 32. The robotic arms 32 are connected to the control module 31. The control module 31 receives instructions from the processing module 23 and drives the robotic arms 32 to perform corresponding treatment operations on the patient. The control module 31 also uses the robotic arms 32 to assess each patient's condition (symptoms) to generate the medical history data.

To further understand the structural features, technical means, and intended effects of this invention, we will now describe how to use it. We believe this will provide a deeper and more detailed understanding of the invention, as follows:

Continuing to refer to FIG2 and FIG1, the system of the present invention can be applied in various medical fields (such as rehabilitation therapy, surgical treatment). In this embodiment, rehabilitation therapy is taken as an example. First, when the patient goes to the local clinic for treatment, the control module 31 will use 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 calculation, the data is analyzed and compared with the standard database 121 and the therapist database 122 to generate the encoded standard treatment plan and/or the previous therapist's treatment plan. This is then transmitted back to each diagnosis platform 20 via the receiving and transmitting unit 11. The processing module 23 then decodes the encoded standard treatment plan and/or the previous therapist's treatment plan through the decoder 231 for selection by the therapist. The selected treatment plan is then output to the robot 30, which in turn causes the control module 31 to drive the robotic arms 32 to perform the corresponding treatment operation on the patient.

If the therapist selects the former therapist's treatment plan, the screen of the processing module 23 will display the relevant information of the former therapist. At the same time, the reward unit 14 will calculate the reward fee for each case and issue 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's treatment plan, and can further use the new therapist's treatment plan. The patient submits an application for a new treatment plan (or the cloud server 10 submits it itself based on patient feedback). After approval by the cloud server 10, the plan becomes the previous therapist's treatment plan and is added to the therapist database 122, serving as a subsequent option for other therapists. If the cloud server 10 does not approve the plan, the therapist is notified to modify and adjust the new therapist's treatment plan and then resubmit it to the cloud server 10 for review.

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

It's worth noting that, because the processing module 23 is an edge computing host, it can monitor the treatment process in real time and provide information to the therapist. The therapist can also use the processing module 23 to independently develop new or modified treatment plans to improve treatment accuracy. As the system matures, the cloud server 10 will confirm and make the corresponding treatment plan available to the therapist, who can then decide whether to proceed directly with the robot 30, eliminating the need for the therapist to make a choice.

In summary, this invention demonstrates significant advancement and practicality among similar products. Furthermore, a thorough review of domestic and international technical documentation regarding this type of structure reveals no prior similar structures. Therefore, this invention satisfies the patentability requirements and an application is filed accordingly.

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

10: Cloud Server

11: Receive and transmit unit

12: Data unit

121:Standard database

122: Therapist Database

13: Processing unit

131: Encoder

14: Reward Unit

20: Diagnostic Platform

21: Storage Module

22: Receive and transmit module

23: Processing Module

231: Decoder

30: Robot

31: Control Module

32: Robotic Arm

Claims (10)

An automated remote medical control system comprising: At least one cloud server, comprising 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 are each connected to the processing unit. The receiving and forwarding unit is configured to receive patient medical records forwarded by each diagnosis platform. The data unit comprises a standard database and a therapist database. The processing unit performs calculations on the medical records and analyzes and compares them with the standard database and the therapist database to generate at least one standard treatment plan, which is then transmitted back to each diagnosis platform via the receiving and forwarding unit. The reward unit is configured to provide rewards. The plurality of diagnosis platforms are connected to the cloud server via a network. Each diagnosis 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 at the clinic. The receiving and transferring module is connected to the storage module and transfers the medical records to the cloud server. The server's receiving and transmitting unit is capable of receiving the standard treatment plan. The processing module is connected to the receiving and transmitting module. The processing module 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 therapist treatment plan and output the selected treatment plan to at least one robot. Multiple robots with artificial intelligence are wirelessly connected to the diagnostic platforms. Each robot has a control module and multiple 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. The automated remote medical treatment control system as described in 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. The automated remote medical treatment 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. The automated remote medical control system as described in claim 3, wherein the processing unit can generate at least one previous therapist's treatment plan after performing calculations, analysis, and comparison on the medical record data. The automated remote medical control system as described in claim 4, wherein the receiving and transferring module is capable of simultaneously receiving the treatment plan from the previous therapist. 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 selection by the therapist. The automated remote medical control system as described in claim 4, wherein if a therapist selects the treatment plan of the former therapist, the reward unit calculates the reward fee on a case-by-case basis and pays the reward to the therapist who originally developed the treatment plan. The automated remote medical control system as described in claim 2, wherein the storage module stores data in both the standard database and the therapist database. The automated remote medical control system of claim 1, wherein the processing module is an edge computing host. The automated remote medical control system as described in claim 1, wherein the system can be applied in the medical fields of rehabilitation therapy and surgical treatment.