CN110767306A - Intelligent health system - Google Patents
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- CN110767306A CN110767306A CN201810841597.0A CN201810841597A CN110767306A CN 110767306 A CN110767306 A CN 110767306A CN 201810841597 A CN201810841597 A CN 201810841597A CN 110767306 A CN110767306 A CN 110767306A
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- 230000036541 health Effects 0.000 title claims abstract description 214
- 238000012545 processing Methods 0.000 claims abstract description 59
- 238000000034 method Methods 0.000 claims abstract description 23
- 230000008569 process Effects 0.000 claims abstract description 11
- 230000003862 health status Effects 0.000 claims description 27
- 230000037123 dental health Effects 0.000 claims description 18
- 238000009825 accumulation Methods 0.000 claims description 9
- 238000003745 diagnosis Methods 0.000 claims description 9
- 238000011156 evaluation Methods 0.000 claims description 9
- 201000010099 disease Diseases 0.000 claims description 7
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 7
- 230000008878 coupling Effects 0.000 claims description 6
- 238000010168 coupling process Methods 0.000 claims description 6
- 238000005859 coupling reaction Methods 0.000 claims description 6
- 238000012549 training Methods 0.000 claims description 5
- 230000002787 reinforcement Effects 0.000 abstract description 3
- 238000013473 artificial intelligence Methods 0.000 abstract description 2
- 238000007619 statistical method Methods 0.000 description 4
- 230000037180 bone health Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
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- 230000000399 orthopedic effect Effects 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 210000000988 bone and bone Anatomy 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 229940079593 drug Drugs 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
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Abstract
The invention relates to an intelligent health system, which comprises an intelligent health platform, wherein the intelligent health platform is simultaneously connected with a remote server and at least one clinic, and the remote server provides a plurality of big data required by the intelligent health platform; the intelligent health platform comprises a graphic processing unit, a pediatric health data module, a plurality of data modules, a family doctor pediatric clinic interface and a cold patient treatment end. The Graphics Processing Unit (GPU) can execute an artificial intelligence learning module, process a large number of related health data, health data and different health states of different medical departments, and the like. The intelligent health system can effectively provide auxiliary information except for the professional field of family doctors, and executes learning reinforcement in the plurality of health data modules through medical record data fed back by each clinic, so that the family doctors in the original professional field can preliminarily solve the problem of patients in the responsible area.
Description
Technical Field
The invention relates to an intelligent health system, in particular to an intelligent learning type intelligent health system combining family doctors and a clinic system.
Background
In the prior art, the problem of the disease of the patients in the areas where the family physicians are responsible for themselves is still handled by using the traditional manual inquiry and registration method, and the efficacy and the function of the family physicians in assisting the judgment and learning of the disease data content of the professional medical department are not systematically assisted, which needs to be improved.
Disclosure of Invention
The invention relates to an intelligent health system, which can effectively provide auxiliary information except for the professional field of family doctors for the purpose of initially solving the problem of patients in the responsible area of family doctors in the professional field, and can perform learning reinforcement in a relevant module through medical record data fed back by each clinic.
The invention discloses an intelligent health system, which comprises an intelligent health platform, wherein the intelligent health platform is simultaneously connected with a remote server and at least one clinic, and the remote server is configured to provide a plurality of big data required by the intelligent health platform; this wisdom health platform including: a graphics processing unit, the graphics processing unit comprising: a health parameter identification module configured to receive parameters of the health data and identify to which medical department the parameters of the health data belong; a data accumulation unit coupled to the health parameter identification module and configured to accumulate and store the parameters of the health data; a classification statistic analysis unit coupled to the data accumulation unit for performing statistics and analysis on the parameters of the health data; a health status evaluation module, coupled to the categorical statistic analysis unit, for evaluating the health status of the health data according to the analyzed status of the health data; a pediatric health data module, coupled to the gpu, configured to store and record the health status or the health data transmitted from the gpu, and capable of providing health data related to pediatric subjects to be transmitted to the gpu as reference data for pediatric intelligent learning; a plurality of health data modules, respectively coupled to the graphic processing unit, configured to store and record the health status or the health data transmitted from the graphic processing unit, and capable of providing health data related to different medical departments to the graphic processing unit as reference data for intelligent learning of different medical departments; a home physician pediatric clinic interface coupled to the output of the graphics processing unit for coupling the intelligent health platform to a home physician pediatric clinic; and at least one patient end configured to couple with the home physician pediatric clinic interface and being an end point for a home physician to treat at least one patient.
In one embodiment, the plurality of health data modules includes a dermatologic health data module, an output of the dermatologic health data module is coupled to an input of the graphic processing unit, and an input of the dermatologic health data module is coupled to an output of the graphic processing unit, configured to process the health status or the health data transmitted from the graphic processing unit for storage and recording, and capable of providing the health data related to the dermatologic department to the graphic processing unit as reference data for the intelligent learning of the dermatologic department of the family physician.
In one embodiment, the plurality of health data modules includes an orthopaedic health data module, an output of the orthopaedic health data module is coupled to an input of the graphics processing unit, and an input of the orthopaedic health data module is coupled to an output of the graphics processing unit, and is configured to process the health status or the health data transmitted from the graphics processing unit for storage and recording, and to provide orthopaedic health data to the graphics processing unit as reference data for the home physician to learn the orthopaedic intelligence.
In one embodiment, the plurality of health data modules includes a dental health data module, an output of the dental health data module is coupled to an input of the graphic processing unit, and an input of the dental health data module is coupled to an output of the graphic processing unit, and the dental health data module is configured to process the health status or the health data transmitted from the graphic processing unit for storage and recording, and can provide dental health data to be transmitted to the graphic processing unit as reference data for dental intelligent learning of a family physician.
In one embodiment, the intelligent health system of the present invention comprises a home physician dental office interface configured to couple to the output of the graphics processing unit for coupling the intelligent health platform to a home physician dental office.
In one embodiment, the home physician pediatric clinic interface output is linked to the at least one patient side configured to include a cold patient treatment side.
In one embodiment, the home physician pediatric clinic interface output is linked to the at least one patient side configured to include a dermatologic patient treatment side.
In one embodiment, the home physician pediatric clinic interface output is linked to the at least one patient side configured to include a dental patient treatment side.
In one embodiment, after the at least one clinic and the intelligent health platform are connected, when a patient visits the at least one clinic for medical service, the method includes the following steps: logging the disease of the patient into the intelligent health platform by the clinic; the intelligent health platform correspondingly accords with the pediatric health data module or one health data module of the plurality of health data modules to carry out data query; generating a diagnostic recommendation from the intelligent health platform; providing a diagnostic recommendation to a clinic; and the clinic reports the diagnosis advice back to the patient and prescribes the drug.
In one embodiment, the step of generating the diagnosis advice by the intelligent health platform comprises: the intelligent health platform takes the diagnosis suggestion as a basis to execute the training of the corresponding health data module; and updating the health data in the corresponding health data module after learning.
Drawings
FIG. 1 is a schematic diagram of a system in accordance with an embodiment of the present invention;
FIG. 2 is a schematic diagram of the circuit block connections of the intelligent health platform according to the embodiment of the present invention;
FIG. 3 is a schematic flow chart of a module A method according to an embodiment of the present invention;
fig. 4 is a schematic flow chart of a module B method according to an embodiment of the present invention.
Detailed Description
Various exemplary embodiments are described more fully hereinafter with reference to the accompanying drawings, in which some exemplary embodiments are shown. The inventive concept may, however, be embodied in many different forms and should not be construed as limited to the exemplary embodiments set forth herein. Rather, these exemplary embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the inventive concept to those skilled in the art. The size of various components of the system internal wiring and the relative physical size of the circuit blocks may be exaggerated in the figures for clarity, with like numerals indicating like components throughout.
It should be understood that although the terms "a", "an", module, unit, signal, terminal, etc. may be used herein to describe various elements, or to exemplify a step S10, a step S20 …, etc. to describe various flow methods, or to distinguish various steps, these elements or flow methods should not be limited by these terms. These terms are used to distinguish one element from another element, or to distinguish one element from another, or from a group of steps and from another group of methods. Accordingly, the terms plurality, each or every one of the following discussion are intended to distinguish one element from another without departing from the teachings of the present inventive concept. As used herein, "a," "an," first, second, or third are used to distinguish one signal from another, not necessarily in a sequential order, and the term "and/or" includes any and all combinations of one or more of the associated listed items. The term "at least one component" means the possibility of having one component or possibly also several components implementing the aspect; also, the term plurality is used herein to describe a plurality of elements, but these plurality of elements are not limited to implementation with two, three or four and more than four elements to represent the implemented technology.
Referring to fig. 1, a schematic diagram of an embodiment of an intelligent health system according to the present invention is disclosed, the intelligent health system generally includes an intelligent health platform 1, and the intelligent health platform 1 is connected to a remote server 3 and at least one clinic 5, and the clinic 5 is certainly interactive with at least one patient 7. Namely, the intelligent health system of the present invention comprises an intelligent health platform 1, a remote server 3 and at least one clinic 5, wherein the clinic 5 interacts with a patient 7. The remote server 3 mainly provides a plurality of big data required by the intelligent health platform 1, especially big data belonging to different medical categories.
Furthermore, each clinic 5 of the at least one clinic 5 is provided with a Health Information System (HIS) therein, which can be connected to the intelligent health platform 1, the Health Information System (HIS) is currently in practice e.g. the HIS specification published by the department of health and welfare, however, these specifications are fixed, and cannot form an intelligent applied mode, which is not convenient for home physicians to use or apply in all directions, therefore, the invention provides an intelligent health platform 1 for solving the technical bottleneck, so that family physicians can obtain auxiliary information of other medical categories besides the professional field, and executing learning reinforcement through medical record data fed back by each clinic, and setting the data in a health data module arranged in a relevant corresponding medical department.
The intelligent health platform 1 shown in fig. 1 comprises a Graphics Processing Unit (GPU) 10, a pediatrics health data module 20, a plurality of health data modules (e.g., related modules such as 22, 24, 26, etc.), a home physician pediatrics clinic interface 50, a home physician dentist clinic interface 52, and at least one patient end (e.g., related patient ends such as 70, 72, 74, 76, etc.). However, in practical applications, the Graphics Processing Unit (GPU) is not limited to an arithmetic processor related to graphics processing, and in the embodiment of the present invention, a high speed arithmetic processor or an ultra high speed arithmetic processor is required to provide an artificial intelligence learning module, process a large number of health data, health states, and the like related to different medical departments, and enhance learning capability. That is, a Central Processing Unit (CPU) having high speed operation may be substituted for the gpu 10 in the present invention.
The gpu 10 includes a health parameter identification module 12; a data accumulation unit 14, a classification statistic analysis unit 16, and a health status evaluation module 18. The health parameter identification module 12 receives parameters of relevant health data input into the gpu 10, and identifies which medical department the parameters of the health data belong to, for example, identifies the medical department such as Xiaozao family or dermatology family the parameters of the health data belong to. The data accumulation unit 14 is coupled to the health parameter identification module 12, and accumulates and stores the parameters of the health data; the classification statistical analysis unit 16 is coupled to the data accumulation unit 14 for performing statistics and analysis on the parameters of the health data, for example, the classification statistical analysis unit 16 analyzes the parameters of the health data to compare and analyze the health data corresponding to different health levels pre-stored or updated in the pediatric health data module 20.
The health status evaluation module 18 is configured to be coupled to the categorical statistics analysis unit 16 for performing evaluation of the health status of the health data after analysis as a basis for evaluation, which is a health status of what medical science and what grade of health status. It should be noted that the health status evaluation performed by the components of the health parameter identification module 12, the data accumulation unit 14, the classification statistical analysis unit 16, and the health status evaluation module 18, or the suggestions after evaluation, etc. can also be performed by a Central Processing Unit (CPU), a High-speed Microcontroller (High-speed Microcontroller) or a High-speed Microprocessor (High-speed Microprocessor), and the present invention is not limited in practical application.
The pediatric health data module 20 is configured to be coupled to the gpu 10, store and record the health status or the health data transmitted from the gpu 10, and provide health data related to the pediatric department for transmission back to the gpu 10 as reference data for pediatric intelligent learning. However, the plurality of health data modules, such as the dermatologic health data module 22, the orthopaedic health data module 24 and the dental health data module 26, are respectively coupled to the graphic processing unit 10, configured to store and record the health status or the health data transmitted from the graphic processing unit 10, and can provide health data related to different medical departments to the graphic processing unit 10 as reference data for intelligent learning of different medical departments.
For example, for the dermatologic health data module 22, the output of the dermatologic health data module 22 is coupled to the input of the graphic processing unit 10, and the input of the dermatologic health data module 22 is coupled to the output of the graphic processing unit 10, so as to process the health status or the health data transmitted from the graphic processing unit 10 for storage and recording, and provide the relevant health data related to the dermatologic department to the graphic processing unit 10 as the reference data for the intelligent learning of the dermatologic department of the family physician. For example, if the medical profession of the family physician is pediatrics, but the corresponding patient is suffering from skin diseases during the clinic visit, the intelligent health platform of the invention can provide relevant treatment suggestions of the family physician about the dermatology, effectively saving the physician who needs to visit the medical profession clinics at other places besides home; the medical system has great help and assistance for general family physicians in the responsibility areas or the rural areas with relatively short medical resources.
Similarly, the output of the bone health data module 24 is coupled to the input of the gpu 10, and the input of the bone health data module 24 is coupled to the output of the gpu 10, configured to process the health status or the health data transmitted from the gpu 10 for storage and recording, and can provide bone health data to the gpu 10 as reference data for the home physician to learn the bone intelligence. Thus, treatment recommendations regarding orthopedic related conditions are available to family physicians in the pediatrics profession. For family physicians of pediatric clinics in responsible areas or rural areas, the technology provided by the invention can assist the family physicians in solving auxiliary suggestions for other professional medical departments, so that the family physicians can provide medical treatment related to other medical departments or health related suggestions to patients. Similarly, the output of the dental health data module 26 is coupled to the input of the graphic processing unit 10, and the input of the dental health data module 26 is also coupled to the output of the graphic processing unit 10, so as to process the health status or the health data transmitted from the graphic processing unit 10 for storage and recording, and provide the dental health data to be transmitted to the graphic processing unit as the reference data for the dental intelligent learning of the family physician.
The home physician pediatric clinic interface 50 is configured to couple to the output of the graphics processing unit 10 for coupling the intelligent health platform 1 to a home physician pediatric clinic 5; in addition, the home doctor's dental office interface 52 is also configured to be coupled to the output of the graphic processing unit 5 for coupling the intelligent health platform 1 to a home doctor's dental office; that is, the intelligent health platform 1 of the present invention can be connected to the family doctor in the general area clinic 5 and the HIS system (i.e. health information system) already installed in the clinic 5 through the family doctor pediatric clinic interface 50 and the family doctor dental clinic interface 52, and perform the functions of updating, training and learning to obtain the required medical advice and information.
The at least one patient side is coupled to the home physician pediatric clinic interface 50 and the home physician dental clinic interface 52, which are terminals for a home physician to treat at least one patient. As for the patient side of fig. 2, there are included a cold patient treatment side 70, a skin patient treatment side (administration advice) 72, a dental patient treatment side (administration advice) 74, and a dental patient treatment side 76, and so on. Wherein the cold patient treatment site 70, the skin patient treatment site (administration advice) 72, the dental patient treatment site (administration advice) 74, etc. are coupled to the home physician pediatric clinic interface 50; it is described that the family physician in the pediatric clinic can effectively obtain the auxiliary information about the medical assistance or health advice related to dermatology, orthopedics and dentistry through the intelligent health platform 1 of the present invention, thereby increasing the extent of the family physician to deal with the disease of the patient. On the other hand, the dental patient treatment end 76 is separately coupled to the home physician dental office interface 52, i.e., the home physician of the dental department is directly able to treat the patient with dental conditions. These related treatment sites or treatment sites are mainly the endpoints between the patient and the home physician or a course of treatment and/or medical and health advice.
In an embodiment of the present invention, the intelligent health platform 1 can also be provided with only the pediatric health data module 20, the dermatological health data module 22, and the orthopaedic health data module 24, without the dental health data module 26, and without the home physician dental office interface 52. Meanwhile, in the intelligent health platform 1, only the cold patient treatment end 70, the skin patient treatment end (giving advice) 72, and the dental patient treatment end (giving advice) 74 may be provided, but the dental patient treatment end 76 is not provided. Through the arrangement of the module and the interface, the embodiment of the invention can be used as a doctor of a general family doctor in a pediatric clinic, so that the family doctor can obtain medical assistance and advice beyond a professional medical department.
Fig. 3 shows an embodiment of the method of the present invention, wherein when a patient 7 visits the clinic 5 in the intelligent health system 1, that is, after the at least one clinic 5 is connected to the intelligent health platform 1, step S10: when the patient 7 visits the clinic, the method includes steps, first step S11: logging the disease of the patient into the intelligent health platform by the clinic; step S12: the intelligent health platform corresponds to a module A, which can be, for example, the pediatric health data module, i.e., the module A is the pediatric health data module, or corresponds to one of the plurality of health data modules, and then performs data query.
Receiver step S13: generating a diagnostic recommendation from the intelligent health platform; thereafter, as shown in fig. 3, step S14 and step S16 are executed at this time; the step S14 is: providing a diagnostic recommendation to a clinic; then step S15: the diagnosis advice is reported back to the patient and prescribed by the clinic. On the other hand, the step S16: the intelligent health platform takes the diagnosis suggestion as a basis to execute the health data module for training the corresponding pediatric or other medical departments; receiver step S17: and updating the health data in the corresponding health data module after learning. Therefore, the method and the steps for applying the intelligent health platform in the intelligent health system are completed.
Fig. 4 illustrates the method steps applied by the intelligent health platform 1 after the patient 7 enters a clinic 5 belonging to a dental professional family physician and the at least one clinic 5 is connected to the intelligent health platform 1, first step S20: patient 7 visits the office of the dental professional; step S21: logging the disease of the patient into the intelligent health platform by the clinic; step S22: the intelligent health platform corresponds to a module B, which may be, for example, the dental health data module, i.e., the module B is a dental health data module, or corresponds to one of the plurality of health data modules, and then performs data query. Receiver step S23: diagnostic recommendations are generated by the intelligent health platform.
As shown in FIG. 4, after the step S23, the steps S24 and S26 are executed simultaneously. The step S24 is: the diagnostic advice is provided to a clinic, which is the office of a home practitioner of a dental professional. Then step S25: the diagnosis advice is reported back to the patient and prescribed by the clinic. On the other hand, the step S26: the intelligent health platform takes the diagnosis suggestion as a basis to execute the training of the corresponding dental health data module; receiver step S27: and updating the health data in the corresponding health data module after learning. Therefore, the method and the steps for applying the intelligent health platform in the intelligent health system are completed.
In summary, the present invention provides an intelligent health system, which can be applied to provide medical treatment or health advice related to other medical departments other than the medical department for family physicians in responsible areas or rural areas, so as to effectively save physicians who have to visit professional medical clinics in other places other than the home; the medical system has great help and assistance for general family physicians in the responsibility areas or the rural areas with relatively short medical resources. Effectively overcomes the defects of the HIS system of the traditional clinic interior and family doctors. It is obvious that the invention has the requirements of patent application.
However, the description of the preferred embodiments is only illustrative, and the invention is not limited thereto, and any local variations, modifications or additions may be made without departing from the scope of the invention.
Description of the symbols
1 intelligent health platform 3 remote server
5 clinic 7 patients
10 graphic processing unit 12 health parameter identification module
14 data accumulation unit 16 classification statistical analysis unit
18 health status assessment module 20 pediatric health data module
22 dermatological health data module 24 orthopaedic health data module
26 dental health data Module 50 family physician pediatric clinic interface
52 family doctor dentist dentistry clinic interface 70 cold patient treatment end
72 dermatologic patient treatment end (advice giving) 74 dentist patient treatment end (advice giving)
76 dentist patient treatment end
S10-S27
Claims (10)
1. An intelligent health system is characterized by comprising an intelligent health platform, wherein the intelligent health platform is simultaneously connected with a remote server and at least one clinic, and the remote server provides a plurality of big data required by the intelligent health platform; this wisdom health platform including:
a graphics processing unit, the graphics processing unit comprising:
a health parameter identification module configured to receive parameters of the health data and identify to which medical department the parameters of the health data belong;
a data accumulation unit coupled to the health parameter identification module and configured to accumulate and store the parameters of the health data;
a classification statistic analysis unit coupled to the data accumulation unit for performing statistics and analysis on the parameters of the health data; and
a health status evaluation module, coupled to the categorical statistic analysis unit, for evaluating the health status of the health data according to the analyzed status of the health data;
a pediatric health data module, coupled to the gpu, configured to store and record the health status or the health data transmitted from the gpu, and capable of providing health data related to pediatric subjects to be transmitted to the gpu as reference data for pediatric intelligent learning;
a plurality of health data modules, respectively coupled to the graphic processing unit, configured to store and record the health status or the health data transmitted from the graphic processing unit, and capable of providing health data related to different medical departments to the graphic processing unit as reference data for intelligent learning of different medical departments;
a home physician pediatric clinic interface coupled to the output of the graphics processing unit for coupling the intelligent health platform to a home physician pediatric clinic; and
at least one patient side configured to couple to the home physician pediatric clinic interface is an end point for a home physician to treat at least one patient.
2. The intelligent health system of claim 1, wherein the plurality of health data modules comprises a dermatologic health data module, an output of the dermatologic health data module is coupled to an input of the graphics processing unit, and an input of the dermatologic health data module is coupled to an output of the graphics processing unit, and is configured to process the health status or the health data transmitted from the graphics processing unit for storage and recording, and to provide the health data related to dermatology to the graphics processing unit as reference data for the dermatologic intelligent learning of the home physician.
3. The intelligent health system of claim 1, wherein the plurality of health data modules comprises an orthopaedic health data module, an output of the orthopaedic health data module is coupled to an input of the graphics processing unit, and an input of the orthopaedic health data module is coupled to an output of the graphics processing unit, configured to process the health status or the health data transmitted from the graphics processing unit for storage and recording, and capable of providing orthopaedic health data to the graphics processing unit as reference data for orthopaedic intelligent learning of a home physician.
4. The intelligent health system of claim 1, wherein the plurality of health data modules comprises a dental health data module, an output of the dental health data module is coupled to an input of the graphics processing unit, and an input of the dental health data module is coupled to an output of the graphics processing unit, configured to process the health status or the health data transmitted from the graphics processing unit for storage and recording, and capable of providing dental health data to the graphics processing unit as reference data for dental intelligent learning of a family physician.
5. The intelligent health system of claim 1, comprising a home physician dental office interface configured to couple to the output of the graphics processing unit for coupling the intelligent health platform to a home physician dental office.
6. The intelligent health system of claim 1, wherein the home physician pediatric clinic interface output linked to the at least one patient side is configured to include a cold patient treatment side.
7. The intelligent health system of claim 1, wherein the at least one patient side to which the home physician pediatric clinic interface output is linked is configured to include a dermatologic patient treatment side.
8. The intelligent health system of claim 1, wherein the at least one patient side to which the home physician pediatric clinic interface output is linked is configured to comprise a dental patient treatment side.
9. The intelligent health system of claim 1, wherein after the at least one clinic and the intelligent health platform are connected, when a patient visits the at least one clinic for medical service, comprising the steps of:
logging the disease of the patient into the intelligent health platform by the clinic;
the intelligent health platform correspondingly accords with the pediatric health data module or one health data module of the plurality of health data modules to carry out data query;
generating a diagnostic recommendation from the intelligent health platform;
providing a diagnostic recommendation to a clinic; and
the diagnosis advice is reported back to the patient and prescribed by the clinic.
10. The intelligent health system of claim 9, wherein the step of generating the diagnostic advice by the intelligent health platform is followed by:
the intelligent health platform takes the diagnosis suggestion as a basis to execute the training of the corresponding health data module; and
and updating the health data in the corresponding health data module after learning.
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