Method and system for intelligently generating treatment prescription

Abstract

The invention relates to the technical field of medical information, in particular to a method and system for intelligently generating a treatment prescription. The method comprises the following steps: acquiring a treatment doctor's advice and an evaluation report of a patient; the treatment medical advice and the evaluation report are analyzed, a pre-treatment prescription is generated, and the pre-treatment prescription comprises treatment items, treatment equipment and treatment parameters used by the treatment equipment; and verifying the pre-treatment prescription, and generating a final treatment prescription in response to the verification correctness. The treatment prescription can be intelligently generated, and the generated treatment prescription is high in reliability.

Description

Technical Field

[0001] The present invention relates to the field of medical information technology. More specifically, the present invention relates to a method and system for intelligently generating treatment prescriptions. Background Art

[0002] A treatment prescription is a detailed treatment plan formulated by medical staff (such as doctors, rehabilitation therapists, etc.) for a patient, which is formulated based on various factors such as the patient's diagnosis results, physical condition, disease severity, and treatment goals. The treatment prescription is an important basis for the treatment process, which can ensure that different medical staff adopt the same treatment plan when treating the same patient, and avoid the randomness and inconsistency of treatment. The treatment prescription may include specific arrangements for various treatment means such as physical therapy, drug therapy, and rehabilitation training.

[0003] Existing treatment prescriptions are generally formulated manually, which is time-consuming and laborious, especially when there are many patients. Therefore, there is an urgent need for a method that can intelligently generate treatment prescriptions to improve the efficiency of formulating treatment prescriptions and save medical staff resources. Summary of the Invention

[0004] To solve the technical problem of the time-consuming and laborious manual formulation of treatment prescriptions, the present invention provides solutions in the following aspects.

[0005] In a first aspect, the present invention provides a method for intelligently generating a treatment prescription, including: obtaining a patient's treatment order and evaluation report; parsing the treatment order and the evaluation report to generate a pre-treatment prescription, the pre-treatment prescription including treatment items, treatment equipment, and treatment parameters used by the treatment equipment; verifying the pre-treatment prescription, and generating a final treatment prescription in response to a correct verification.

[0006] Further, parsing the treatment order and the evaluation report to generate a pre-treatment prescription includes: parsing the treatment order and determining the treatment equipment according to the treatment items obtained by parsing; parsing the evaluation report and determining the treatment parameters according to the participation ability level and action ability level obtained by parsing; wherein, the participation ability characterizes the patient's mental state and willingness to participate in treatment, and the action ability characterizes the patient's ability to actively perform designated actions.

[0007] Further, determining the treatment equipment according to the treatment items obtained by parsing includes: matching at least one treatment equipment according to the treatment items; wherein, if multiple treatment equipments are matched, the treatment equipments are screened according to the idle conditions of the treatment equipments.

[0008] Further, determining the treatment parameters according to the participation ability level and action ability level obtained by parsing includes: preliminarily determining the treatment parameters according to the action ability level; and correcting the preliminarily determined treatment parameters according to the participation ability level.

[0009] Further, the action ability includes four levels: strong action ability, medium action ability, weak action ability, and no action ability; preliminarily determining the treatment parameters according to the action ability level includes: establishing a mapping relationship between the action ability level and the treatment parameters; and determining the treatment parameters of the patient according to the mapping relationship.

[0010] Further, the participation ability includes three levels: mild participation ability, moderate participation ability, and severe participation ability; correcting the preliminarily determined treatment parameters according to the participation ability level includes: in response to the patient's participation ability level being mild participation ability, increasing a specified parameter in the treatment parameters by a preset value or gear; in response to the patient's participation ability level being moderate participation ability, keeping the treatment parameters unchanged; and in response to the patient's participation ability level being severe participation ability, decreasing the specified parameter in the treatment parameters by a preset value or gear.

[0011] Further, after determining the treatment device of the patient, it further includes: determining the treatment room of the patient according to the treatment device; and in response to the patient queuing on the treatment device, determining the treatment time period of the patient according to the queuing result.

[0012] Further, the method of the present invention further includes: saving the treatment prescription to a prescription library; generating a treatment report of the patient after the patient executes the treatment prescription; and optimizing the prescription library according to the treatment report.

[0013] Further, the method of the present invention further includes: generating a treatment plan for the patient and pushing the treatment plan, where the treatment plan includes all the treatment prescriptions of the patient.

[0014] In a second aspect, the present invention provides a system for intelligently generating a rehabilitation treatment prescription, including a processor and a memory, where the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the method for intelligently generating a treatment prescription according to the first aspect is implemented.

[0015] The beneficial effects of the present invention are as follows: The present invention can intelligently generate a treatment prescription for a patient based on the treatment orders and evaluation reports of the patient, reducing the occupation of medical staff resources, optimizing the process of formulating the treatment prescription, and thus improving the efficiency of formulating the treatment prescription. Moreover, when determining the treatment parameters used by the treatment device, by comprehensively considering the patient's participation ability and mobility, the treatment device is more targeted when used by the patient during the treatment process, which can effectively improve the patient's rehabilitation efficiency. In addition, since the generated treatment prescription has been verified, the reliability and accuracy of the obtained treatment prescription are ensured. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] By reading the following detailed description with reference to the accompanying drawings, the above and other objects, features, and advantages of the exemplary embodiments of the present invention will become readily understood. In the drawings, several embodiments of the present invention are shown by way of illustration and not limitation, and like or corresponding reference numerals indicate like or corresponding parts, wherein:

[0017] Figure 1 is a flowchart schematically showing a method for intelligently generating a treatment prescription according to an embodiment of the present invention;

[0018] Figure 2 is a flowchart schematically showing a method for intelligently generating a treatment prescription according to another embodiment of the present invention;

[0019] Figure 3 is a block diagram schematically showing the structure of a system for intelligently generating a treatment prescription according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0021] The following will describe in detail the specific embodiments of the present invention with reference to the accompanying drawings.

[0022] Figure 1 is a flowchart schematically showing a method for intelligently generating a treatment prescription according to an embodiment of the present invention.

[0023] In a first aspect, the present invention provides a method for intelligently generating a treatment prescription, as Figure 1 shown, the method of the present invention includes:

[0024] S101. Obtain the treatment orders and evaluation reports of the patient.

[0025] In one embodiment, the treatment orders of a patient can be obtained from the HIS system of a hospital. The content in the treatment orders generally includes the patient's name, the content of treatment execution, the treatment period corresponding to the treatment execution content, the treatment frequency, the treatment quantity, etc.

[0026] Specifically, the content of treatment execution includes the name of the treatment item and the treatment instructions corresponding to the treatment item (i.e., the body part to be treated). For example, if the treatment execution content in a patient's treatment order is large joint mobilization training for the left knee, then the corresponding treatment item for this patient is large joint mobilization training, and the corresponding treatment instruction is the left knee. The treatment frequency characterizes the frequency of treatment item execution and can include Qd (once a day), Bid (twice a day, for example, once in the morning and once in the afternoon), Qod (once every other day), etc.; the treatment period characterizes the specific treatment time, for example, from 10:00 to 12:00 in the morning; the treatment quantity characterizes the total number of times the patient undergoes the treatment item, for example, undergoing large joint mobilization training 5 times.

[0027] In one embodiment, an evaluation report can be obtained from the evaluation system. Among them, the evaluation report contains the total score of the evaluation scale, the scores of sub-scales, and the result data of the four major evaluation indicators of the patient's "self-care ability, motor ability, mental state, sensory perception, and social participation ability" for each sub-scale. Through the patient's evaluation report, the severity of the disease suffered by the patient can be clarified. Specifically, a high scale score indicates a severe disease of the patient; a low scale score indicates a mild disease of the patient.

[0028] S102. Analyze the treatment orders and the evaluation report to generate a pre-treatment prescription.

[0029] In one embodiment, each treatment prescription contains the necessary information required during the treatment execution process, such as patient information, disease type, treatment item, treatment instructions, treatment techniques, treatment equipment used, treatment parameters used by the treatment equipment, treatment period, treatment room or treatment area, etc. Of course, those skilled in the art can generate the content in the treatment prescription according to actual needs.

[0030] Specifically, analyze the treatment orders to generate the treatment item, treatment instructions, treatment frequency, treatment equipment, etc. in the treatment prescription. In one embodiment, semantic analysis can be performed on the treatment orders to obtain the relevant content in the pre-treatment prescription. For example, parse the treatment execution content into the treatment item and treatment instructions (for example, if the treatment execution content in the order is large joint mobilization training for the left knee, then parse it as: the treatment item is large joint mobilization training, and the treatment instructions are the left knee.).

[0031] Further, match the treatment equipment based on the parsed treatment items and / or treatment instructions to determine the treatment equipment in the treatment prescription. For example, if the treatment instruction is "knee", the matching equipment includes "whole body coordination function training machine", "lower limb adduction and abduction training machine", etc.

[0032] Specifically, if the patient matches only one treatment equipment, then this treatment equipment is the treatment equipment that the patient will finally use. If the patient matches multiple treatment equipment, screening can be performed according to the idle status of the treatment equipment. If only one treatment equipment is idle, then the idle treatment equipment is the treatment equipment that the patient will finally use. If multiple of the matched treatment equipment are idle, then all these equipment can be retained and selected by the therapist during the verification process to determine the treatment equipment that the patient will finally use, while ensuring the reliability of the finally determined treatment equipment. If all the matched treatment equipment have patients queuing for use, then the equipment with the shortest queuing time can be selected as the treatment equipment that the patient will finally use.

[0033] In an alternative embodiment, for multiple treatment equipment in an idle state, the equipment selection index of each treatment equipment can be determined, and then the treatment equipment with the highest equipment selection index is used as the treatment equipment that the patient will finally use. Specifically, the calculation expression of the equipment selection index is:

[0034]

[0035] In the formula, P is the equipment selection index, FM is the function matching degree, W FM is the weight of the function matching degree, A is the simplicity of operation, W A is the weight of the simplicity of operation, S is the failure rate of the treatment equipment, W S is the weight of the failure rate.

[0036] It can be understood that the function matching degree characterizes the matching degree between the function of the treatment device and the diseased part of the patient. Among them, the higher the matching degree, the better the treatment effect, and the higher the corresponding device selection index. For example, if a patient has periarthritis of the shoulder, and the treatment device is capable of focusing on range-of-motion training, pain relief, and muscle strength training of the shoulder joint, then the matching degree of this treatment device is high. If the treatment device is a general upper limb training device, since its function is not specifically optimized for the shoulder joint (for example, the movement angle cannot well adapt to the anatomical structure and range of motion of the shoulder joint), then the function matching degree of this treatment device is low. In one embodiment, if the treatment device is targeted at the diseased part of the patient, the function matching degree can be set to 7 points. If the treatment device is general and not targeted, the function matching degree can be set to 3 points. In other alternative embodiments, corresponding scores can also be assigned according to the function coverage ratio or clinical effect of the treatment device to determine the function matching degree of the treatment device. Since the function matching degree has an important impact on the patient's rehabilitation, a relatively high weight, such as 0.5, can be assigned to it.

[0037] Furthermore, the higher the simplicity of operation of the treatment device, the better it indicates that the therapist can operate it, and the less likely it is to make mistakes. The requirements for the therapist are also lower, and there are relatively more optional therapists, which is convenient for assigning therapists to patients. Therefore, the device selection index is higher. In one embodiment, the simplicity of operation of the treatment device can be determined according to the training time required for the therapist to become familiar with the device operation. For example, those with a training time within 30 minutes are given 6 points, those with a training time from 30 minutes to one hour are given 3 points, and those with a training time over one hour are given 1 point. Since the simplicity of operation has a relatively small impact on the patient's rehabilitation, a relatively low weight, such as 0.2, can be assigned to it.

[0038] Furthermore, the higher the failure rate of the treatment device, the more likely it indicates that the treatment device is prone to interruption during the patient's treatment, thereby affecting the treatment effect of the patient and even potentially endangering the safety of the patient. In this regard, the higher the failure rate of the treatment device, the less it should be used as the final treatment device for the patient. In one embodiment, the failure rate of the treatment device can be determined according to the ratio of the number of failures to the total number of times used since purchase. Since the failure rate has a relatively high impact on the patient's rehabilitation, a weight of 0.3 can be assigned to it.

[0039] By comprehensively considering the function matching degree, simplicity of operation, and failure rate of the treatment device, the finally selected treatment device is more conducive to the patient's rehabilitation, thereby improving the effectiveness and reliability of the treatment prescription.

[0040] In one embodiment, the treatment period in the pre-treatment prescription is determined according to the queuing situation of the treatment device. Specifically, when only one patient's treatment can be accommodated by the treatment device, the patients can queue up in the order of their admission; when the treatment device can accommodate multiple patients for treatment at the same time, they also queue up in the order of admission, and the queuing is allocated according to the treatment channels 1+(1+N) of the treatment device, so as to determine the treatment period of the patient according to the queuing result. In addition, when the determined treatment device of the patient is idle, the earliest time period can be preferentially used as the treatment period of the patient, for example, from 9:00 am to 10:00 am. In addition, in the subsequent verification process, the therapist can also modify the treatment period of the patient according to the actual situation.

[0041] In one embodiment, the treatment area in the pre-treatment prescription is determined according to the patient's treatment device. Generally speaking, exercise rehabilitation devices are generally fixed in a certain treatment room or treatment area and are not mobile, and only a few exercise rehabilitation devices are mobile. Therefore, if the patient's treatment device is fixed in a certain treatment room or treatment area, the treatment room or treatment area where the treatment device is located is the patient's treatment room or treatment area; if the patient's treatment device is mobile, the patient's treatment room or treatment area can be set as a preset treatment area, so as to obtain the treatment room or treatment area in the pre-treatment prescription.

[0042] In one embodiment, the evaluation report is parsed to generate the treatment methods (such as device treatment, massage, acupuncture, etc.) and the treatment parameters used by the treatment device in the treatment prescription.

[0043] It can be understood that the treatment parameters are the treatment parameters adopted by the patient when using the treatment device for treatment, and the treatment parameters corresponding to different treatment devices (rehabilitation training devices) are also different. Taking the lower limb adduction-abduction training machine as an example, the treatment parameters of the lower limb adduction-abduction training machine include resistance gear, automatic resistance, mode, angular velocity, starting angle and ending angle. Among them, resistance gear: 1st gear, 2nd gear, 3rd gear, 4th gear, 5th gear; automatic resistance: off, on; mode: speed control, time control; angular velocity: 0° / s, 5° / s, 10° / s, 15° / s, 20° / s; starting angle: 0 degree, 5 degrees, 10 degrees; ending angle: 0 degree, 5 degrees, 10 degrees.

[0044] In one embodiment, the key variables of severity, mobility (mobility / physical ability) and participation ability (mental / perceptual and participation ability) are defined, and the evaluation report is parsed to determine the severity level, mobility level and participation ability level of the patient.

[0045] It can be understood that in the evaluation report, there are evaluation results of the patient's various items. Therefore, the key data in the evaluation report can be parsed to determine the severity level, mobility level and participation ability level of the patient.

[0046] The severity characterizes the impairment of the patient's ability. In one embodiment, the severity includes five levels: level 0 (intact ability), level 1 (mild impairment of ability), level 2 (moderate impairment of ability), level 3 (severe impairment of ability), and level 4 (complete loss of ability). Further, the severity level of the patient can be determined according to the average value of the total scores of each sub-scale in the patient's assessment scale total score (one score range corresponds to one level, and those skilled in the art can divide it according to actual needs). This severity level enables the therapist to quickly and accurately adjust the treatment equipment and treatment parameters, etc. when verifying the pre-treatment prescription subsequently. It can be understood that the therapist can also adjust the treatment equipment and treatment parameters according to other contents on the pre-treatment prescription.

[0047] The mobility ability characterizes the patient's ability to actively perform designated actions. In one embodiment, the mobility ability includes four levels: strong mobility ability, medium mobility ability, weak mobility ability, and no mobility ability. It can be understood that the mobility ability reflects whether the patient can move independently. Specifically, if the patient can actively move a designated distance or number of steps without the company of an escort, the patient's mobility ability level is strong mobility ability; if the patient needs appropriate assistance (such as being supported) from an escort to move a designated distance or number of steps, the patient's mobility ability level is medium mobility ability; if the patient needs specific assistance (such as a wheelchair) from an escort to move a designated distance or number of steps, the patient's mobility ability level is weak mobility ability; if the patient cannot move and the therapist needs to conduct treatment in front of the patient's hospital bed, the patient's mobility ability level is no mobility ability.

[0048] It should be noted that different affected parts result in different contents reflected by the mobility ability. For example, if the patient has a damaged shoulder joint, the patient who can actively raise the hand above the head has strong mobility ability, and these can be obtained by analyzing the content in the assessment report (different affected parts have different assessment contents).

[0049] The participation ability characterizes the mental state performance and the degree of active participation and cooperation of the patient during the treatment process. In one embodiment, the participation ability can be divided into three levels: mild participation ability, moderate participation ability, and severe participation ability. Specifically, if the patient has a good mental state and actively cooperates with the treatment during the treatment process, the patient's participation ability level is mild participation ability; if the patient has a good mental state but the cooperation degree is average during the treatment process, the patient's participation ability level is moderate participation ability; if the patient has a poor mental state and cannot independently complete the treatment cooperation and needs the assistance of family members or escorts to complete, the patient's participation ability level is severe participation ability.

[0050] Furthermore, treatment parameters used by the treatment device are determined according to the patient's mobility level and participation ability level. In one embodiment, the treatment parameters may be initially determined according to the patient's mobility level. Specifically, a mapping relationship between the mobility level and the treatment parameters may be established; and the treatment parameters of the patient are determined according to the mapping relationship.

[0051] Taking the above-mentioned lower limb adduction and abduction training machine as an example, if the patient's mobility level is strong mobility, the corresponding resistance gear is gear 4 or gear 5; the automatic resistance is on; the mode is speed control; the angular velocity is 15° / s or 20° / s; the starting angle is 10 degrees; the ending angle is 5 degrees. If the patient's mobility level is medium mobility, the corresponding resistance gear is gear 3 or gear 4; the automatic resistance is on; the mode is speed control; the angular velocity is 10° / s; the starting angle is 10 degrees; the ending angle is 5 degrees. If the patient's mobility level is weak mobility, the corresponding resistance gear is gear 1 or gear 2; the automatic resistance is off; the mode is time control; the angular velocity is 0° / s; the starting angle is 0 degrees; the ending angle is 0 degrees.

[0052] Furthermore, if the patient's mobility level is immobility, indicating that the patient does not have the ability to use the treatment device for treatment, then the patient needs to have the ability to use the treatment device (for example, after the patient undergoes treatments such as acupuncture and massage and has the mobility ability) before using the treatment device for treatment.

[0053] In an alternative embodiment, the mobility ability may be quantified, and then the specific treatment parameters are determined by combining the score and level of the mobility ability, which can be set by those skilled in the art according to actual needs.

[0054] In one embodiment, the initially determined treatment parameters may be corrected according to the participation ability level. Specifically, in response to the patient's participation ability level being mild participation ability, a specified parameter in the treatment parameters is increased by a preset value or gear; in response to the patient's participation ability level being moderate participation ability, the treatment parameters remain unchanged; in response to the patient's participation ability level being severe participation ability, a specified parameter in the treatment parameters is decreased by a preset value or gear. Among them, the therapist can select the specified parameter.

[0055] Taking the above-mentioned lower limb adduction and abduction training machine as an example, the specified parameters in the treatment parameters can be the resistance level and the angular velocity. Specifically, when the patient's participation ability level is at a mild participation ability, the resistance level can be increased by one level (for example, if the initially determined resistance level of the patient is level 4, it becomes level 5 after adjustment); the angular velocity is increased by 5° / s (for example, if the initially determined angular velocity of the patient is 15° / s, it becomes 20° / s after adjustment). When the patient's participation ability level is at a moderate participation ability, the current treatment parameters remain unchanged (i.e., the initially determined treatment parameters are used as the final treatment parameters). When the patient's participation ability level is at a severe participation ability, the resistance level is decreased by one level (for example, if the initially determined resistance level of the patient is level 3, it becomes level 2 after adjustment); the angular velocity is decreased by 5° / s (for example, if the initially determined angular velocity of the patient is 15° / s, it becomes 10° / s after adjustment).

[0056] By adjusting the treatment parameters according to the patient's participation ability, it avoids interrupting the treatment due to poor mental state or insufficient mobility, enabling the patient to effectively carry out training, thereby improving the efficiency of the patient's rehabilitation.

[0057] By comprehensively considering the patient's mobility and participation ability to determine the treatment parameters, the treatment prescription becomes more personalized, can accurately adapt to the patient's needs, ensure that the patient can effectively carry out treatment, and thus improve the rehabilitation efficiency.

[0058] S103. Verify the pre-treatment prescription, and generate a final treatment prescription in response to a correct verification.

[0059] Specifically, the responsible therapist verifies the content of the pre-treatment prescription, focusing on verifying the treatment items, treatment methods, treatment equipment, and treatment parameters used by the treatment equipment. In one embodiment, the responsible therapist can adjust the treatment equipment used, the treatment parameters used by the treatment equipment, etc. according to the actual situation during the face-to-face meeting with the patient and the content in the pre-treatment prescription. Further, after the responsible therapist completes the verification, it is submitted to the treatment head (or the team leader, department director) for review, and after the review is correct, a final treatment prescription is generated on the system.

[0060] By verifying the pre-treatment prescription, it ensures the reliability and accuracy of the obtained treatment prescription. Further, by intelligently generating the patient's treatment prescription, it reduces the occupation of medical staff resources, optimizes the process of formulating the treatment prescription, and thus improves the efficiency of formulating the treatment prescription.

[0061] In one embodiment, generate the patient's treatment plan (including all treatment prescriptions of the patient, one treatment item corresponds to one treatment prescription, one therapist), and then push it to the relevant personnel.

[0062] In one embodiment, according to the finally generated executable treatment prescription, execution instructions for treatment parameters are generated and pushed to the treatment device. Specifically, according to the instruction set of the created treatment device, instruction execution data is generated and pushed to the rehabilitation treatment device.

[0063] In one embodiment, as Figure 2 shown, the method of the present invention further includes: saving the generated treatment prescription to the prescription library. When there are enough prescriptions in the prescription library, the treatment orders and evaluation reports of the patient can be matched with the prescriptions in the prescription library to determine the relevant content in the treatment prescription. For example, the treatment parameters used by the treatment device, and finally verified by the therapist to determine the final treatment prescription. Or when verifying the pre-treatment prescription, the therapist makes corresponding adjustments to the pre-treatment prescription based on the treatment prescription matched from the prescription library, thereby improving the reliability of the finally determined treatment prescription.

[0064] Further, after the patient executes the prescription treatment, a treatment report of the patient is generated, which can be parsed, and then the corresponding treatment prescription stored in the prescription library is optimized.

[0065] Figure 3 is a schematic block diagram showing the structure of a system for intelligently generating a treatment prescription according to an embodiment of the present invention.

[0066] In a second aspect, the present invention also provides a system for intelligently generating a treatment prescription. As Figure 3 shown, the system includes a processor and a memory. The memory stores computer program instructions, and when the computer program instructions are executed by the processor, the method for intelligently generating a treatment prescription according to the first aspect of the present invention is implemented.

[0067] The system further includes other components well known to those skilled in the art such as a communication interface, and its settings and functions are known in the art, so they will not be described in detail here.

[0068] In the present invention, the foregoing memory may be any tangible medium that contains or stores a program, which can be used by or in conjunction with an instruction execution system, apparatus, or device. For example, the computer-readable storage medium may be any suitable magnetic storage medium or magneto-optical storage medium, such as, resistive random access memory (RRAM), dynamic random access memory (DRAM), static random access memory (SRAM), enhanced dynamic random access memory (EDRAM), high-bandwidth memory (HBM), hybrid memory cube (HMC), etc., or any other medium that can be used to store the required information and can be accessed by an application program, module, or both. Any such computer storage medium may be part of the device or accessible or connectable to the device. Any application or module described in the present invention may be implemented using computer-readable / executable instructions that can be stored or otherwise maintained by such a computer-readable medium.

[0069] In the description of this specification, the meaning of "a plurality of" is at least two, for example, two, three, or more, etc., unless otherwise specifically defined.

[0070] Although this specification has shown and described multiple embodiments of the present invention, it will be apparent to those skilled in the art that such embodiments are provided by way of example only. Those skilled in the art will think of many changes, alterations, and alternative ways without departing from the spirit and scope of the present invention. It should be understood that various alternatives to the embodiments of the present invention described herein may be employed in practicing the present invention.

Claims

1. A method for intelligently generating a treatment prescription, characterized in that: include: Obtain treatment orders and assessment reports from patients; parsing the treatment doctor's order and the evaluation report to generate a pre-treatment prescription, wherein the pre-treatment prescription includes treatment items, treatment equipment, and treatment parameters used by the treatment equipment; The pre-treatment prescription is verified, and in response to the verification being correct, a final treatment prescription is generated.

2. The method for intelligently generating treatment prescriptions according to claim 1, characterized in that: Parsing the treatment doctor's order and the assessment report to generate a pre-treatment prescription includes: Analyze the treatment order, and determine the treatment equipment according to the treatment items obtained by the analysis; The assessment report is analyzed, and the treatment parameters are determined according to the participation ability level and action ability level obtained through the analysis; wherein the participation ability represents the patient's mental state and willingness to participate in treatment, and the action ability represents the patient's ability to actively perform specified actions.

3. The method for intelligently generating treatment prescriptions according to claim 2, characterized in that: Determining the treatment equipment according to the treatment items obtained through analysis includes: At least one treatment device is matched according to the treatment project; if multiple treatment devices are matched, the treatment devices are screened according to their availability.

4. The method for intelligently generating treatment prescriptions according to claim 2, characterized in that: The treatment parameters are determined according to the participation ability level and the action ability level obtained through analysis, including: preliminarily determining the treatment parameters according to the mobility level; The initially determined treatment parameters are modified according to the level of participation ability.

5. The method for intelligently generating treatment prescriptions according to claim 4, characterized in that: Action capability includes four levels: strong action capability, medium action capability, weak action capability and no action capability; The treatment parameters are initially determined based on the mobility level, including: Establish a mapping relationship between mobility levels and treatment parameters; The treatment parameters of the patient are determined according to the mapping relationship.

6. The method for intelligently generating treatment prescriptions according to claim 4, characterized in that: Participation ability includes three levels: mild participation ability, moderate participation ability and severe participation ability; Modifications to the initially determined treatment parameters are made based on the level of participation, including: In response to the patient's participation ability level being mild participation ability, increasing a designated parameter among the treatment parameters by a preset value or level; In response to the patient's level of participation ability being moderate participation ability, maintaining the treatment parameters unchanged; In response to the patient's participation ability level being severe participation ability, a designated parameter among the treatment parameters is reduced by a preset value or level.

7. The method for intelligently generating treatment prescriptions according to claim 1, characterized in that: After determining the treatment device for the patient, further comprising: determining a treatment room for the patient based on the treatment equipment; In response to the patient being queued up at the treatment device, a treatment time period for the patient is determined according to the queuing result.

8. The method for intelligently generating treatment prescriptions according to claim 1, characterized in that: Also includes: Saving the treatment prescription in a prescription library; After the patient performs the treatment prescription, generating a treatment report for the patient; The prescription library is optimized according to the treatment report.

9. The method for intelligently generating treatment prescriptions according to claim 1, characterized in that: Also includes: Generate a treatment plan for the patient and push the treatment plan, wherein the treatment plan includes all treatment prescriptions for the patient.

10. A system for intelligently generating rehabilitation treatment prescriptions, characterized in that: The method comprises a processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, a method for intelligently generating treatment prescriptions according to claims 1 to 9 is implemented.

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