Diagnosis and treatment robot system based on big data

Abstract

The invention discloses a diagnosis and treatment robot system based on big data, and relates to the field of diagnosis and treatment systems.The diagnosis and treatment robot system comprises a diagnosis and treatment robot end, a medical treatment end, a pharmacy end and a data management end, and the diagnosis and treatment robot end comprises a detector module for conducting preliminary detection on a patient and an intelligent voice module for providing treatment suggestions and answering medical care questions of the patient; the medicine detection module is used for detecting medicine and providing medicine taking suggestions, the information detection module is used for collecting medical care data, and the medical treatment terminal comprises an information auxiliary module for providing case query for doctors, a treatment data module for recording diagnosis information and an intranet numbering module for contacting hospital detection departments. The pharmacy end comprises a medicine dispensing information module for calling doctor-patient data and a medicine dispensing monitoring module for checking the quantity and style of dispensed medicines, and the data management end comprises a cloud storage module for storing data and a big data mining module for extracting data. The diagnosis and treatment robot system based on the big data can assist the patient in seeing a doctor quickly and is convenient for the patient to memorize the doctor's advice.

Description

Technical Field

[0001] The present invention mainly relates to the technical field of diagnosis and treatment systems, and specifically to a diagnosis and treatment robot system based on big data. Background Art

[0002] A medical robot is a robot with autonomous decision-making capabilities. It can provide convenient, efficient and safe medical services to doctors and patients by providing accurate medical diagnosis and treatment plans. Medical robots can also help doctors and medical personnel better manage medical data and improve the quality and efficiency of medical services. Medical robots can also provide a wider range of medical services to areas with insufficient medical resources and help patients get better medical services. Today's medical robots are basically used as auxiliary equipment for doctors' medical processes. In today's medical treatment methods, disease identification registration and basic monitoring are still a problem. It is not realistic to handle it by calling in medical personnel. Therefore, based on the characteristics of medical robots, a medical robot system based on big data that can perform registration services and basic monitoring is needed.

[0003] According to the invention provided by application number 202010891617.2, a remote lightweight ultrasonic robot diagnosis and treatment system based on cloud computing is disclosed, which can provide ultrasonic examination function at home, and can store patient data through the cloud, making it convenient for doctors to collect patient vital signs information.

[0004] The above patent document uses the inspection instruments provided by the diagnostic robot to conduct autonomous inspections at home, thus solving the problem of insufficient basic home monitoring. However, it still has the disadvantages of lack of hospital registration instructions and lack of feedback information from doctors. Summary of the invention

[0005] Based on this, the purpose of the present invention is to provide a diagnostic and treatment robot system based on big data to solve the technical problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions: A diagnosis and treatment robot system based on big data includes a diagnosis and treatment robot end, a medical consultation end, a pharmacy end, and a data management end. The diagnosis and treatment robot end includes a detector module for performing preliminary tests on patients, an intelligent voice module for providing consultation advice and answering patients' medical questions, a drug detection module for drug detection and providing medication advice, and an information detection module for collecting medical data. The medical consultation end includes an information auxiliary module for providing case queries for doctors, a consultation data module for recording diagnostic information, and an intranet queuing module for contacting a hospital's inspection department. The pharmacy end includes a drug dispensing information module for calling medical and patient data, and a drug dispensing monitoring module for checking the quantity and style of drugs dispensed. The data management end includes a cloud storage module for storing data, and a big data mining module for extracting data.

[0007] Preferably, the detector module includes a vital sign detector which is arranged on one side of the diagnosis and treatment robot and can automatically measure blood pressure and heart rate, and a multifunctional camera which is arranged on the top of the diagnosis and treatment robot and can measure body temperature and recognize faces. In this preferred embodiment, through the detector and the multifunctional camera, various vital signs of the patient can be measured in advance before registration, and registration suggestions can be provided based on the measured data combined with medical data.

[0008] Preferably, the intelligent voice module includes an AI intelligent voice system for communicating with patients, a data transceiver arranged at the top of one side of the diagnosis and treatment robot end, a speaker arranged in the middle of one end of the diagnosis and treatment robot end, and a display screen arranged at the top of one end of the diagnosis and treatment robot end. In this preferred embodiment, through the intelligent AI assisted voice system, it is possible to communicate with patients and answer patients' medical questions. Registration and online payment can be displayed on the display screen, and hospital route maps and doctor's duty schedule auxiliary information can also be provided.

[0009] Preferably, the drug detection module includes a drug identification bin disposed at the bottom of one end of the diagnosis and treatment robot, and an inkjet printer disposed at the bottom of the drug identification bin. In this preferred embodiment, the drug identification bin is combined with the inkjet printer, and by retrieving the diagnosis information from the medical consultation end, the medication information can be printed on the medicine box, making it convenient for patients to take medicines as prescribed by the doctor.

[0010] Preferably, the information detection module includes an ID card detection port located next to the speaker and a medical insurance card detection slot located below the ID card detection port. In this preferred embodiment, the patient information is extracted through the ID card and medical insurance card detection, and recommendation services are provided based on the patient information.

[0011] Preferably, the information assistance module includes a data search engine provided on the doctor's office computer for contacting a cloud storage module and providing patient information and similar cases. In this preferred embodiment, similar cases in the cloud storage are extracted through the data search engine to provide information assistance for the doctor's consultation.

[0012] Preferably, the medical data module includes a data recording device provided on the doctor's office computer, which is used to enter examination application or diagnosis result data. In this preferred embodiment, the medical data is recorded to archive patient information, which is convenient for contacting other departments or providing past medical information when seeking medical treatment again.

[0013] Preferably, the intranet queuing module includes an intranet communication loop for contacting the testing department during the patient examination procedure, and a numbering algorithm for online queuing based on the actual medical treatment order. In this preferred embodiment, online queuing avoids the problem of slow queuing caused by multiple rounds of registration.

[0014] Preferably, the medicine dispensing information module includes a patient medical information window arranged on the pharmacy office power supply, which is used to provide prescription information after diagnosis. The medicine dispensing monitoring module includes a barcode scanner arranged on the medicine dispensing cabinet, which is used to detect the style and quantity of medicines when dispensing. In this preferred embodiment, medicine dispensing monitoring is used to prevent the wrong dosage and medicine from being prescribed when picking up medicines.

[0015] Preferably, the big data mining module adopts a data mining model that combines a decision tree algorithm with a K-Mean algorithm. In this preferred embodiment, the big data mining algorithm is used to improve data extraction efficiency, making it convenient for use at various ends of the hospital.

[0016] In summary, the present invention mainly has the following beneficial effects: In this embodiment, the patient's vital signs information can be obtained remotely through the detector module, and the added intelligent AI symptom inquiry can better analyze the patient's physical problems and provide more accurate registration suggestions. By registering online and queuing up directly online with the doctor's prescription, the medical treatment process can be accelerated and the problem of difficulty in seeing a doctor can be prevented.

[0017] By connecting patients, doctors and pharmacies through a large cloud database, information can be collected or fed back to each end, providing doctors with more patient information and medical data, making it easier for doctors to analyze patients' conditions.

[0018] By monitoring the medication delivery and printing medication recommendations on medicine boxes, patients can be prevented from taking medications according to doctor's orders and from experiencing slow relief of their condition due to unclear medication dosages. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 is the overall system flow chart of the present invention; Figure 2 This is a module diagram of the diagnosis and treatment robot terminal of the present invention; Figure 3 This is a module diagram of the medical consultation terminal of the present invention; Figure 4 It is a module diagram of the pharmacy end of the present invention; Figure 5 It is a data management terminal module diagram of the present invention; Figure 6 This is an overall axonometric diagram of the diagnosis and treatment robot end of the present invention; Figure 7 This is an enlarged view of the end portion of the diagnosis and treatment robot of the present invention.

[0020] Description of the accompanying drawings: 10. Diagnosis and treatment robot end; 20. Medical treatment end; 30. Pharmacy end; 40. Data management end; 11. Detector module; 12. Intelligent voice module; 13. Drug detection module; 14. Information detection module; 21. Information auxiliary module; 22. Medical treatment data module; 23. Intranet queuing module; 31. Drug dispensing information module; 32. Drug dispensing monitoring module; 41. Cloud storage module; 42. Big data mining module; 111. Vital sign detector; 112. Multi-function camera; 121. Data transceiver; 122. Speaker; 123. Display screen; 131. Drug identification warehouse; 132. Inkjet printer; 141. ID card detection port; 142. Medical insurance card detection slot. DETAILED DESCRIPTION

[0021] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention. Example

[0022] Please refer to the attached Figure 1 , 2As shown in Figures 5, 6, and 7, a diagnosis and treatment robot system based on big data includes a diagnosis and treatment robot terminal 10, a medical treatment terminal 20, a pharmacy terminal 30, and a data management terminal 40. The diagnosis and treatment robot terminal 10 includes a detector module 11 for performing preliminary tests on patients, an intelligent voice module 12 for providing treatment advice and answering patients' medical questions, a drug detection module 13 for drug detection and providing medication advice, and an information detection module 14 for collecting medical data. The medical treatment terminal 20 includes an information auxiliary module 21 for providing case queries for doctors, a treatment data module 22 for recording diagnostic information, and an intranet queuing module 23 for contacting the hospital's testing department. The pharmacy terminal 30 includes a drug dispensing information module 31 for calling medical and patient data, and a drug dispensing monitoring module 32 for checking the quantity and style of drugs dispensed. The data management terminal 40 includes a cloud for storing data A storage module 41, a big data mining module 42 for extracting data, the big data mining module 42 adopts a data mining mode combining a decision tree algorithm and a K-Mean algorithm, the detector module 11 includes a vital sign detector 111 which is arranged on one side of the diagnosis and treatment robot end 10 and can automatically measure blood pressure and heart rate, a multifunctional camera 112 which is arranged on the top of the diagnosis and treatment robot end 10 and can measure body temperature and recognize human faces, the intelligent voice module 12 includes an AI intelligent voice system for communicating with patients, a data transceiver 121 which is arranged on the top of one side of the diagnosis and treatment robot end 10, a speaker 122 which is arranged in the middle of one end of the diagnosis and treatment robot end 10, and a display screen 123 which is arranged on the top of one end of the diagnosis and treatment robot end 10, and the information detection module 14 includes an ID card detection port 141 which is arranged next to the speaker 122, and a medical insurance card detection slot 142 which is arranged below the ID card detection port 141.

[0023] It should be noted that the diagnosis and treatment robot terminal 10 in this embodiment is an intelligent robot with a mobile guidance function and is located in the hospital lobby. However, it can also be partially improved, such as changing the data transceiver 121 connected to the intranet to a home wireless network connection, and adding other medical detection equipment to the detector module 11 to be used as a remote diagnosis and treatment robot for monitoring the patient's physical condition at home; Further, the patient inserts his / her ID card or medical insurance card into the ID card detection port 141 or the medical insurance card detection slot 142, and the information detection module 14 detects the patient's facial features through the multi-functional camera 112 to confirm the patient's identity; Furthermore, the intelligent voice module 12 reminds the patient to put his arm into the physical sign detector 111 through the speaker 122, and the detector module 11 checks the basic body features of the patient through the physical sign detector 111 and the multifunctional camera 112; Furthermore, the intelligent voice module 12 will ask the patient about his / her discomfort symptoms through the speaker 122, and extract similar symptoms mined from the cloud storage module 41 by the big data mining module 42 through the data transceiver 121 for comparison, and make registration suggestions for the patient through the comparison; Furthermore, the display screen 123 will display the hospital location, provide information about doctors and consulting rooms, and the diagnosis and treatment robot terminal 10 located in the hospital lobby can also identify and lead the patient to a designated location through the multifunctional camera 112; Furthermore, when the patient is willing to seek medical treatment, he or she can register and pay online by touching the registration information on the display screen 123.

[0024] Please refer to the attached Figure 3 As shown, the information auxiliary module 21 includes a cloud storage module 41 provided on the doctor's office computer, which is used to provide a data search engine for patient information and similar cases. The medical data module 22 includes a data recording device provided on the doctor's office computer, which is used to input examination application or diagnosis result data. The intranet queuing module 23 includes an intranet communication loop for contacting the testing department for the patient examination steps, and a numbering algorithm for queuing online according to the actual medical treatment order.

[0025] It should be noted that the patient's medical information in the clinic will also be uploaded to the cloud storage module 41 through the internal network. The doctor will issue an examination note for the patient through the office computer. After the prescription is successful, it will immediately enter the queue sequence of the relevant examination department. The same is true for the prescription of medicines. The diagnosis and treatment robot terminal 10 can also query the doctor's diagnosis results and suggestions through identity recognition; Furthermore, after the patient enters the consulting room, the doctor can query previous similar cases for reference through the information auxiliary module 21 regarding the patient's condition; Further, when there is a diagnosis result of the patient's condition, the doctor can issue an examination order or a prescription for medicine through the medical data module 22; Furthermore, after issuing the examination form or the prescription, the intranet numbering module 23 will immediately transmit the information to the relevant department for online numbering and queuing. After the patient arrives at the designated location, he or she can go through the formalities by showing his or her ID card.

[0026] Please refer to the attached Figure 4 , 7 As shown, the medicine dispensing information module 31 includes a patient medical information window arranged on the pharmacy office power supply, which is used to provide prescription information after diagnosis. The medicine dispensing monitoring module 32 includes a barcode scanner arranged on the medicine dispensing cabinet, which is used to detect the style and quantity of the medicine when dispensing the medicine. The medicine detection module 13 includes a medicine identification bin 131 arranged at the bottom of one end of the diagnosis and treatment robot end 10, and an inkjet printer 132 arranged at the bottom of the medicine identification bin 131.

[0027] It should be noted that the drug output monitoring module 32 can store the drug input and output information in the cloud database, which is convenient for the hospital to understand the drug reserves. Due to different patient conditions, doctors will generally reduce or increase the dosage when prescribing medicines for patients according to the situation. This is not necessarily the same as the reference dosage on the medicine packaging box. Since doctors often give verbal reminders, some patients tend to forget after seeing a doctor. Therefore, in this embodiment, a drug detection module 13 is set on the diagnosis and treatment robot end 10, which can extract the doctor's medical treatment data module 22. The recommended information for medication is printed on the medicine packaging box to remind patients of the dosage.

[0028] Furthermore, after the doctor prescribes medicine for the patient, the medicine dispensing information module 31 will provide the medicine dispensing information to the dispensing staff, who will dispense the medicine according to the prescription; Further, the medicine is dispensed by scanning the code through the medicine dispensing monitoring module 32, confirming that the quantity and model of the medicine dispensed are the same as the medicine dispensing order, and recording the price; Furthermore, after the patient gets the medicine, he or she can put the medicine into the medicine identification bin 131 . The medicine detection module 13 will detect the model of the medicine and print the doctor's medication recommendation on the medicine packaging box through the inkjet printer 132 .

[0029] The working principle of the present invention is: First, the patient inserts his or her ID card or medical insurance card into the ID card detection port 141 or the medical insurance card detection slot 142. The information detection module 14 detects the patient's facial features through the multi-functional camera 112 to confirm the patient's identity. The intelligent voice module 12 reminds the patient to extend his or her arm into the vital sign detector 111 through the speaker 122. The detector module 11 checks the patient's basic body features through the vital sign detector 111 and the multi-functional camera 112. The intelligent voice module 12 asks the patient about the symptoms of discomfort through the speaker 122, and extracts similar symptoms mined from the cloud storage module 41 by the big data mining module 42 through the data transceiver 121 for comparison. Through the comparison, registration suggestions are made for the patient. The display screen 123 displays the hospital location and provides information about doctors and consulting rooms. The diagnosis and treatment robot terminal 10 located in the hospital lobby can also identify and lead the patient to the designated location through the multi-functional camera 112. When the patient has medical treatment When the patient wishes, he can register and pay online by touching the registration information on the display screen 123. After the patient enters the consulting room, the doctor can query previous similar cases for reference through the information auxiliary module 21. When the patient's condition is diagnosed, the doctor can issue an examination form or a prescription form through the medical data module 22. After issuing the examination form or the prescription form, the intranet numbering module 23 will immediately transmit the information to the relevant department for online numbering and queuing. After the patient arrives at the designated location, he can go through the formalities by showing his ID card. After the doctor prescribes medicine for the patient, the medicine dispensing information module 31 will provide the prescription information to the medicine dispensing staff, who will dispense the medicine according to the prescription, and dispense the medicine by scanning the code through the medicine dispensing monitoring module 32 to determine that the quantity and model of the medicine are the same as the prescription, and record the price. After the patient gets the medicine, he can put the medicine into the medicine identification warehouse 131. The medicine detection module 13 will detect the model of the medicine, and print the doctor's medication recommendation on the medicine packaging box through the inkjet printer 132.

[0030] The above embodiments are only for illustrating the technical idea of ​​the present invention, and cannot be used to limit the protection scope of the present invention. Any changes made on the basis of the technical solution in accordance with the technical idea proposed by the present invention shall fall within the protection scope of the present invention.

Claims

1. A diagnosis and treatment robot system based on big data, comprising a diagnosis and treatment robot terminal (10), a medical consultation terminal (20), a pharmacy terminal (30), and a data management terminal (40), characterized in that The diagnosis and treatment robot end (10) includes a detector module (11) for performing preliminary tests on patients, an intelligent voice module (12) for providing medical advice and answering medical questions of patients, a drug detection module (13) for drug detection and providing medication advice, and an information detection module (14) for collecting medical data. The medical treatment end (20) includes an information auxiliary module (21) for providing case queries for doctors, a treatment data module (22) for recording diagnostic information, and an intranet queuing module (23) for contacting the hospital's testing department. The pharmacy end (30) includes a drug dispensing information module (31) for calling medical and patient data, and a drug dispensing monitoring module (32) for checking the quantity and style of drugs dispensed. The data management end (40) includes a cloud storage module (41) for storing data, and a big data mining module (42) for extracting data.

2. A diagnostic robot system based on big data according to claim 1, characterized in that: The detector module (11) comprises a vital sign detector (111) disposed on one side of the diagnosis and treatment robot end (10) and capable of automatically measuring blood pressure and heart rate, and a multifunctional camera (112) disposed on the top of the diagnosis and treatment robot end (10) and capable of measuring body temperature and recognizing human faces.

3. The big data-based diagnosis and treatment robot system according to claim 1, characterized in that: The intelligent voice module (12) comprises an AI intelligent voice system for communicating with a patient, a data transceiver (121) disposed at the top of one side of the diagnosis and treatment robot end (10), a speaker (122) disposed at the middle of one end of the diagnosis and treatment robot end (10), and a display screen (123) disposed at the top of one end of the diagnosis and treatment robot end (10).

4. The big data-based diagnosis and treatment robot system according to claim 1, characterized in that: The drug detection module (13) comprises a drug identification chamber (131) disposed at the bottom of one end of the diagnosis and treatment robot end (10), and an inkjet printer (132) disposed at the bottom of the drug identification chamber (131).

5. The big data-based diagnosis and treatment robot system according to claim 3, characterized in that: The information detection module (14) comprises an identity card detection port (141) disposed beside the speaker (122), and a medical insurance card detection slot (142) disposed below the identity card detection port (141).

6. The big data-based diagnosis and treatment robot system according to claim 1, characterized in that: The information auxiliary module (21) includes a data search engine provided on the doctor's office computer and used to contact the cloud storage module (41) for providing patient information and similar cases.

7. The big data-based diagnosis and treatment robot system according to claim 1, characterized in that: The medical consultation data module (22) comprises a data recording device arranged on the doctor's office computer, and is used for recording examination application or diagnosis result data.

8. The big data-based diagnosis and treatment robot system according to claim 1, characterized in that: The intranet queuing module (23) comprises an intranet communication loop for contacting the testing department during the patient examination process, and a numbering algorithm for queuing online according to the actual medical treatment sequence.

9. The big data-based diagnosis and treatment robot system according to claim 1, characterized in that: The medicine dispensing information module (31) includes a patient medical information window provided on the pharmacy office power supply, which is used to provide prescription information after diagnosis. The medicine dispensing monitoring module (32) includes a barcode scanner provided on the medicine dispensing cabinet, which is used to detect the style and quantity of the medicine when dispensing.

10. The big data-based diagnosis and treatment robot system according to claim 1, characterized in that: The big data mining module (42) adopts a data mining model that combines a decision tree algorithm with a K-Mean algorithm.

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