TWI676147B - Intelligent healthcare system - Google Patents

Abstract

The invention relates to a smart health system, which includes a smart health platform. The smart health platform is connected to a remote server and at least one clinic at the same time. The remote server is a large number of servers required to provide the smart health platform. Data: The smart health platform includes a graphic processing unit, a pediatric health data module, a plurality of data modules, a family physician pediatric clinic interface, and a cold patient treatment terminal. The graphics processing unit (GPU) can execute a learning module of artificial intelligence to process a large number of related medical data, health data, and different health states of different medical departments. The intelligent health system of the present invention can effectively provide auxiliary information in addition to the professional field of family physicians, and through the medical record data returned by each clinic, the learning is strengthened in the multiple health data modules, so that families in the original professional field can Physicians are able to initially address patient issues in their area of responsibility.

Description

Smart health system

The invention relates to an intelligent health system, in particular to an intelligent learning type intelligent health system combining a family physician and a clinic system.

In the prior art, there are family doctors who deal with the illness of patients in their own areas of responsibility. They still use traditional manual inquiry and registration to deal with them. There is no systematic way to assist family doctors in their professional medical information. The efficacy and role of assisting judgment and assisting learning in response to the patient's situation needs to be improved.

The present invention relates to a smart health system. In order to allow family physicians in the original professional field to initially solve the problems in patients in their areas of responsibility, the intelligent health system provided by the present invention can effectively provide auxiliary information outside the professional field of family physicians. And through the medical record data returned by each clinic, the learning is reinforced in the relevant set of modules.

The smart health system of the present invention includes a smart health platform, and the smart health platform is connected to a remote server and at least one clinic at the same time. The remote server is a plurality of large servers required to provide the smart health platform. Data; the smart health platform includes: a graphics processing unit, which includes: a health parameter identification module, which is a parameter that receives health data, and identifies which medical department the parameter belongs to; A data data accumulating unit, coupled to the health parameter identification module, accumulates and stores parameters of the health data; a classified statistical analysis unit, coupled to the data data accumulating unit, The parameters of the health data are counted and analyzed; a health status evaluation module is coupled to the classified statistical analysis unit, and evaluates the health status of the health data according to the status of the health data after analysis; a pediatric health data model The group, coupled to the graphics processing unit, stores and records the health status or the health data transmitted by the graphics processing unit, and can provide health data related to pediatrics to the graphics processing unit for transmission. Reference materials for pediatric wisdom learning; multiple health data modules, respectively coupled to the graphics processing unit, are used to store and record the health status or the health data transmitted from the graphics processing unit, and can provide Health data about different medical disciplines are transmitted to the graphic processing unit as reference materials for different medical wisdom learning; a family physician pediatric clinic interface is coupled to the output of the graphic processing unit to use the intelligent health platform with a family physician Pediatric clinics perform coupling; and at least one patient end, And the family physician interface coupled pediatric clinic, is a family physician treat a patient at least one end point.

1‧‧‧Smart Health Platform

3‧‧‧ remote server

5‧‧‧ Clinic

7‧‧‧ patient

10‧‧‧Graphics Processing Unit

12‧‧‧Health Parameter Identification Module

14‧‧‧Data accumulation unit

16‧‧‧ Classified statistical analysis unit

18‧‧‧ Health Assessment Module

20‧‧‧Pediatric Health Information Module

22‧‧‧ Dermatology Health Information Module

24‧‧‧ Orthopedics Health Information Module

26‧‧‧ Dental Health Information Module

50‧‧‧Family Physician Pediatric Clinic Interface

52‧‧‧Family Physician Dental Clinic Interface

70‧‧‧ Treatment of cold patients

72‧‧‧ Treatment of skin diseases (suggestion)

74‧‧‧ Dentist patient management (given advice)

76‧‧‧Dentist treatment

S10 ~ S27‧‧‧‧step

FIG. 1 is a schematic diagram of system connection according to an embodiment of the present invention; FIG. 2 is a schematic diagram of circuit block connection of a smart health platform according to an embodiment of the present invention; FIG. 3 is a schematic flowchart of a module A method according to an embodiment of the present invention; Schematic diagram of the module B method of the embodiment.

In the following, reference is made to the accompanying drawings for explanation, so as to more fully describe various exemplary embodiments, and to show some exemplary embodiments in the accompanying drawings. However, the concept of the invention may 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 invention will be thorough and complete, and will fully convey the scope of the inventive concept to those skilled in the art. In the drawings, the size of each component of the system's internal wiring and the size of the relative entities between circuit blocks can be exaggerated for clarity, and similar numbers always indicate similar components.

It should be understood that although the term "a", module, unit, signal, terminal, etc. may be used in this document to describe various components, or one step S10, one step S20, etc. may be used to describe various different components. Process methods, or distinguished into different steps, but these elements or process methods should not be limited by these terms. These terms are used to clearly distinguish one element from another or to distinguish one set of steps from another set of methods. Accordingly, the terms plural, plural, each, or each discussed below are teachings used to distinguish the composition of elements without departing from the concepts of the present invention. As used herein, "one", "first", "second", or "third" are used to distinguish different signals, and do not have a certain sequence. The term "and / or" includes any of the related listed items. All combinations of one and one or more. The term "at least one element" means the possibility of having one element or the possibility of having multiple elements to implement it; moreover, the term plural is used herein to describe having multiple elements, but these plural elements are not limited to implementing only The number of elements of two, three, or four and more indicates the technology implemented.

Referring to FIG. 1, it is a schematic diagram of an implementation state of the smart health system of the present invention. The smart health system of the present invention as a whole includes a smart health platform 1, and the smart health platform 1 is simultaneously connected to a distance. The terminal server 3 and at least one clinic 5 are, of course, mutually interacting with at least one patient 7. That is, the smart health system of the present invention includes a smart health platform 1, a remote server 3, and at least one clinic 5, and the clinic 5 interacts with the patient 7. Among them, the remote server 3 mainly provides multiple big data data required by the smart health platform 1, especially the big data data belonging to different medical categories.

Furthermore, in each of the at least one clinic 5, a health information system (HIS: Healthcare Information System) is provided inside the clinic 5, and the health information system can be connected to the smart health platform 1. At present, the health information system (HIS) is, for example, the HIS specifications issued by the Ministry of Health and Welfare, but these specifications are fixed and cannot form an intelligent application method, which is not convenient for family doctors to use or apply in all aspects. , So this invention proposes smart health Platform 1 is used to solve the bottleneck of the current technology, so that family physicians can obtain auxiliary information in other medical categories in addition to their own professional fields, and perform learning reinforcement through the medical record data returned by each clinic, and build the data in relevant Corresponds to the health information module set by the medical department.

The smart health platform 1 in FIG. 1 includes a graphics processing unit (GPU) 10, a pediatric health data module 20, a plurality of health data modules (such as related modules labeled 22, 24, 26, etc.), and a family physician. Pediatric clinic interface 50, a family physician dentist clinic interface 52, and at least one patient end (for example, the related patient end numbered 70, 72, 74, 76, etc.). However, in practical applications, the graphics processing unit (GPU) is not limited to a computing processor that is related to graphics. In the embodiment of the present invention, it is mainly to provide an artificial intelligence learning module for processing. A large number of different medical related health data, health data, and different health states, etc., require high-speed computing processors or ultra-high-speed computing processors. That is, if it is a central processing processor (CPU) with high-speed operation, it can of course be replaced as the graphics processing unit (GPU) 10 in the present invention.

The graphics processing unit (GPU) 10 includes a health parameter identification module 12, a data accumulation unit 14, a classification statistics analysis unit 16, and a health status evaluation module 18. The health parameter identification module 12 receives parameters of related health data input to the graphics processing unit 10 and identifies which medical department the parameters of the health data belong to. For example, the parameters for identifying the health data belong to a small department or a medical department. Dermatology and other medical departments. The data data accumulation unit 14 is coupled to the health parameter identification module 12 and is mainly used to accumulate and store the parameters of the health data. The classification and statistical analysis unit 16 is coupled to the data data accumulation unit 14 to The parameters of the health data are counted and analyzed. For example, the classified statistical analysis unit 16 analyzes the parameters of the health data to correspond to the health data corresponding to different health levels stored or updated in the pediatric health data module 20 and compared. analysis.

The health status evaluation module 18 is coupled to the classification statistical analysis unit 16 and uses The state of the health data after analysis is used as a basis for evaluation, and the evaluation of the health state of the health data is performed, which kind of health status belongs to which medical department. It must be stated here that the health status evaluation work completed by the connection of components such as 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 after the evaluation The suggestions and the like can also be completed by a central processing unit (CPU), a high-speed microcontroller (High-speed Microcontroller), or a high-speed microprocessor (High-speed Microprocessor). The present invention is not limited in practical application. .

The pediatric health information module 20 is coupled to the graphics processing unit 10, and stores and records the health status or the health data transmitted from the graphics processing unit 10, and can provide information on pediatrics. The health data is transmitted back to the graphics processing unit 10 for use as a reference for pediatric wisdom learning. However, the plurality of health data modules are, for example, a dermatology health data module 22, an orthopaedic health data module 24, and a dental health data module 26, which are respectively coupled to the graphics processing unit 10. The health status or the health data transmitted from the graphic processing unit 10 is stored and recorded, and health data about different medical disciplines can be provided to the graphic processing unit 10 as reference materials for wisdom learning of different medical disciplines.

For example, for the dermatology health information module 22, the output of the dermatology health information module 22 is coupled to the input of the graphics processing unit 10, and the input of the dermatology health information module 22 is coupled to the graphics processing unit. The output of 10 is mainly used to process the health status or the health data transmitted from the graphics processing unit 10 for storage and recording, and can provide relevant dermatology-related health data to the graphics processing unit 10 for transmission as a family. Reference material for dermatological wisdom learning for physicians. For example, if the specialty of the family doctor is pediatrics, but if the patient at the clinic sees a disease on the skin, the smart health platform of the present invention can provide the family doctor with information about the skin Treatment recommendations related to the department, effectively eliminating the need for the patient to go to a professional medical clinic elsewhere near the home Doctors: For general family physicians who lack medical resources in the area of responsibility or in rural areas, it is of great help and assistance.

Similarly, the output of the orthopedic health data module 24 is coupled to the input of the graphics processing unit 10, while the input of the orthopedic health data module 24 is coupled to the output of the graphics processing unit 10 and is used to process graphics The health status or the health data transmitted from the processing unit 10 is stored and recorded, and the health data about the orthopedics can be provided to the graphic processing unit 10 as a reference material for wisdom learning of orthopaedics by family doctors. Therefore, for family doctors of pediatric specialty, it is possible to obtain advice on the treatment of related diseases of orthopedics. For family doctors in pediatric clinics in areas of responsibility or in rural areas, the technology provided by the present invention can assist the family doctor in solving auxiliary suggestions for other professional medical disciplines, so that the family physician can provide related medical treatment or health in other medical departments Related advice to the patient. Similarly, the output of the dental health data module 26 is coupled to the input of the graphics processing unit 10, and the input of the dental health data module 26 is also coupled to the output of the graphics processing unit 10, which is mainly used to process the graphics processing unit 10. The transmitted health status or health data is stored and recorded, and can provide health data about dentistry transmitted to the graphic processing unit as reference materials for dental wisdom learning of family physicians.

The family physician pediatric clinic interface 50 is coupled to the output of the graphics processing unit 10, and is used to couple the smart health platform 1 with a family physician pediatric clinic 5; in addition, the family physician dental clinic interface 52 It is also coupled to the output of the graphics processing unit 5 for coupling the smart health platform 1 to a family physician's dental clinic; that is, the family physician's pediatric clinic interface 50 and the family physician's dental clinic interface 52 can enable the present invention The smart health platform 1 is connected to the family doctors in the general clinic 5 and the HIS system (that is, the health information system) already installed in the clinic 5 and performs the functions of updating, training and learning to obtain the required Medical advice and information.

The at least one patient end is mainly interfaced with the family doctor pediatric clinic 50 Coupled with the family physician dentistry clinic interface 52, it is an illustration of the point at which a family physician treats at least one patient. As for the patient end of FIG. 2, there are a cold patient treatment end 70, a skin patient treatment end (giving advice) 72, a dental patient treatment end (giving advice) 74, and a dentist patient treatment end 76. Among them, the cold patient treatment terminal 70, the dermatological treatment terminal (given advice) 72, the dental patient treatment terminal (given advice) 74 and the like are coupled to the family physician pediatric clinic interface 50; It is described that the family doctor in the pediatric clinic can effectively obtain the provision of auxiliary information about dermatology, orthopedics and dental related medical assistance or health advice through the smart health platform 1 of the present invention, and increase the family doctor's treatment of patients The breadth of illness. On the other hand, the dentist patient treatment end 76 is separately coupled to the family doctor's dentist clinic interface 52, that is, the family doctor of the dentist can directly treat patients with dental diseases. These related treatments or treatments are mainly to explain the endpoints between the patient and the family physician, or to be a process of treatment and / or medical and health advice.

In an embodiment of the present invention, the smart health platform 1 can also be provided with only the pediatric health information module 20, dermatology health information module 22, and orthopedic health information module 24, without The dental health information module 26 is provided, and the family physician dental clinic interface 52 is not provided. At the same time, in the smart health platform 1, it is also possible to set only a cold patient treatment end 70, a skin patient treatment end (give advice) 72, a dental patient treatment end (give advice) 74, but no dentist patient treatment End 76. Through the setting of such a module and an interface, the embodiment of the present invention can be used as a doctor of a general family doctor's pediatric clinic, so that the family doctor can obtain medical assistance and advice other than his professional medical department.

FIG. 3 is an embodiment of the method according to the present invention. For the clinic 5 in the smart health system 1, when a patient 7 visits the clinic 5, the at least one clinic 5 and the smart health After platform 1 is connected, step S10: when patient 7 goes to the clinic for medical treatment, including steps, first step S11: the clinic logs in the patient's illness into the smart health platform; step S12: corresponding to the smart health platform Complies with a module A, which can be the pediatric health data module, for example, That is, the module A is a pediatric health data module, or a health data module corresponding to one of the plurality of health data modules, and then performs data query.

Step S13: the diagnosis recommendation is generated by the smart health platform; after that, as shown in FIG. 3, step S14 and step S16 are performed simultaneously; the step S14 is: providing the diagnosis recommendation to the clinic; and then step S15: the clinic Report diagnostic recommendations to patients and prescribe medication. On the other hand, the step S16: the smart health platform uses the diagnosis suggestions as a basis to execute training of the corresponding pediatric or other medical health data module; followed by step S17: making the corresponding health data module internal Update your health information after learning. In this way, the method and steps for applying the smart health platform in the smart health system according to the present invention are completed.

FIG. 4 illustrates the method steps of the application of the smart health platform 1 after the patient 7 enters a clinic 5 belonging to a family doctor of dental professional, after the at least one clinic 5 is connected with the smart health platform 1, the first steps S20: Patient 7 visits a dental clinic; Step S21: The clinic logs the patient's illness into the smart health platform; Step S22: The smart health platform corresponds to a module B, which is an example of module B For example, it can be the dental health data module, that is, the module B is a dental health data module, or a health data module corresponding to one of the plurality of health data modules, and then data query is performed. Step S23: The diagnosis recommendation is generated by the smart health platform.

As shown in FIG. 4, after step S23, step S24 and step S26 are performed simultaneously. The step S24 is: providing a diagnosis suggestion to a clinic, which refers to a clinic of a family doctor of dental specialty. Step S25: The clinic reports the diagnosis recommendations to the patient and prescribes the medicine. On the other hand, the step S26: the smart health platform uses the diagnosis suggestions as a basis to execute training on the corresponding dental health data module; then step S27: makes the health data inside the corresponding health data module learn Update it later. In this way, the method and steps for applying the smart health platform in the smart health system according to the present invention are completed.

In summary, the present invention provides a smart health system, which can be used to improve For family doctors in responsible areas or rural areas with medical treatment or health advice related to their own medical department, effectively eliminating the need for patients to see doctors in professional medical clinics in other places near their homes. ; For the general family doctors who lack medical resources in the responsible area or the rural areas, it has great help and assistance. Effectively improve the deficiencies of HIS systems in traditional existing clinics and family doctors. It is obvious that the present invention has the requirements for applying for a patent.

However, what is described in the description of the present invention is only an example of a preferred embodiment. When the scope of protection of the present invention cannot be limited by it, any local changes, modifications or additions of technology still do not depart from the scope of protection of the present invention. in.

Claims (10)

A smart health system includes a smart health platform. The smart health platform is connected to a remote server and at least one clinic at the same time. The remote server is used to provide multiple big data data required by the smart health platform. A health information system is provided inside the at least one clinic, and the health information system is connected to the smart health platform. The smart health platform includes a graphics processing unit. The graphics processing unit includes a health parameter identification module. The group is a parameter that receives health data and identifies which medical department the parameter belongs to; a data data accumulation unit, coupled to the health parameter identification module, accumulates and stores the health data parameters ; A classification statistical analysis unit, coupled to the data data accumulation unit, to perform statistics and analysis on the parameters of the health data; a health status evaluation module, coupled to the classification statistical analysis unit, for the health after analysis The status of the data, perform an assessment of the health status of the health data; a pediatrician The data module, coupled to the graphics processing unit, stores and records the health status or the health data transmitted by the graphics processing unit, and can provide health data about pediatrics to the graphics processing unit. As reference material for pediatric wisdom learning; multiple health data modules, respectively coupled to the graphics processing unit, store and record the health status or the health data transmitted from the graphics processing unit, and can Provides health data about different medical disciplines to the graphic processing unit as a reference for different medical wisdom learning; a family physician pediatric clinic interface, coupled to the output of the graphic processing unit, is used to connect the intelligent health platform with a The family doctor pediatric clinic performs the coupling; and the at least one patient end is coupled with the family doctor pediatric clinic interface and is an end point for a family doctor to treat at least one patient; wherein the at least one clinic is a hometown Regional clinic, a family physician in the clinic in the rural area; Partial medical clinics and rural areas, the family physician of the health information system through connection with the wisdom of a healthy platform to obtain assistance and advice. The intelligent health system according to claim 1, wherein the plurality of health data modules includes a dermatology health data module, and the output of the dermatology health data module is coupled to the graphics processing unit. Input, and the input of the dermatology health data module is coupled to the output of the graphics processing unit, and is used to process the health status or the health data transmitted from the graphics processing unit for storage and recording, and Can provide health data about dermatology to the graphics processing unit as a reference material for dermatology wisdom learning of family doctors. The smart health system according to claim 1, wherein the plurality of health data modules includes an orthopaedic health data module, and the output of the orthopaedic health data module is coupled to the input of the graphics processing unit, The input of the orthopedic health data module is coupled to the output of the graphics processing unit, and is used to process the health status or the health data transmitted from the graphics processing unit for storage and recording, and can provide Orthopedic health data is transmitted to the graphics processing unit as a reference for orthopaedic wisdom learning by family doctors. The smart health system according to claim 1, wherein the plurality of health data modules include a dental health data module, and the output of the dental health data module is coupled to the input of the graphics processing unit. The input of the dental health data module is coupled to the output of the graphics processing unit, and is used to process the health status or the health data transmitted from the graphics processing unit for storage and recording, and can provide Health data about dentistry is transmitted to the graphics processing unit as a reference for dental wisdom learning of family doctors. The smart health system according to claim 1 includes a family physician dental clinic interface coupled to the output of the graphics processing unit for coupling the smart health platform to a family physician dental clinic. The smart health system according to claim 1, wherein the at least one patient end connected to the family doctor pediatric clinic interface output includes a cold patient treatment end. The smart health system according to claim 1, wherein the at least one patient end connected to the family doctor pediatric clinic interface includes a skin patient treatment end. The smart health system according to claim 1, wherein the at least one patient end connected to the family doctor pediatric clinic interface output includes a dentist patient treatment end. According to the smart health system described in claim 1, after the at least one clinic is connected with the smart health platform, when a patient visits the at least one clinic for medical treatment, the method includes the following steps: The patient's illness logs into the smart health platform; the smart health platform corresponds to the pediatric health data module, or the health data module corresponding to one of the plurality of health data modules for data query; the smart health platform Generate diagnostic recommendations; provide the diagnostic recommendations to the clinic; and report the diagnostic recommendations to the patient and prescribe medication. According to the smart health system described in claim 9, after the step of generating a diagnostic recommendation by the smart health platform, the method includes: using the smart health platform as a basis to execute the training on the corresponding health data model. Group; and the health data in the corresponding health data module is updated after learning.