CN212570410U - Intelligent infectious disease pre-inspection and triage machine - Google Patents
Intelligent infectious disease pre-inspection and triage machine Download PDFInfo
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- CN212570410U CN212570410U CN202021121197.1U CN202021121197U CN212570410U CN 212570410 U CN212570410 U CN 212570410U CN 202021121197 U CN202021121197 U CN 202021121197U CN 212570410 U CN212570410 U CN 212570410U
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- 208000035473 Communicable disease Diseases 0.000 title claims abstract description 37
- 208000015181 infectious disease Diseases 0.000 title claims abstract description 34
- 238000007689 inspection Methods 0.000 title claims description 9
- 238000003745 diagnosis Methods 0.000 claims abstract description 15
- 238000009529 body temperature measurement Methods 0.000 claims abstract description 6
- 238000004659 sterilization and disinfection Methods 0.000 claims description 12
- 238000012216 screening Methods 0.000 claims description 4
- 230000036760 body temperature Effects 0.000 abstract description 17
- 238000001514 detection method Methods 0.000 abstract description 16
- 201000010099 disease Diseases 0.000 abstract description 3
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 abstract description 3
- 238000000034 method Methods 0.000 abstract description 3
- 230000002159 abnormal effect Effects 0.000 description 4
- 230000001681 protective effect Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 206010063385 Intellectualisation Diseases 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000012790 confirmation Methods 0.000 description 2
- 230000006806 disease prevention Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 206010011224 Cough Diseases 0.000 description 1
- 206010037660 Pyrexia Diseases 0.000 description 1
- 230000002776 aggregation Effects 0.000 description 1
- 238000004220 aggregation Methods 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 238000002955 isolation Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 230000000241 respiratory effect Effects 0.000 description 1
- 239000007921 spray Substances 0.000 description 1
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Abstract
The utility model provides an infectious disease intelligence preliminary examination diagnostic machine relates to the infectious disease preliminary examination field. The triage machine comprises a processor, and a memory, a face recognition module, an infrared temperature measurement module, a display screen module, a network module and a printing module which are respectively connected with the processor; the processor is also connected with a background. This branch diagnosis machine carries out patient's identification through face identification technique, detect patient's body temperature through infrared temperature measurement module, transfer patient's health sign indicating number and infectious disease detection information through the network module, through transferring the infectious disease auxiliary problem in the memory, show to the patient through the display screen module, it is normal when patient's body temperature, have green health sign indicating number, infectious disease testing result is negative and the auxiliary problem is normal, the printing module shows the current sign indicating number of seeing a doctor of green, the patient carries the current sign indicating number and sees a doctor. The utility model provides high pass catch disease preliminary examination's intellectuality and automation have reduced medical staff's input, can be comprehensive, the normative work of triage of going on in advance.
Description
Technical Field
The utility model relates to an pass catch disease preliminary examination field especially relates to an pass catch disease intelligence preliminary examination diagnostic machine.
Background
The prior infectious disease pre-detection scheme comprises the following steps:
(1) manually measuring body temperature, scanning a two-dimensional code, manually asking questions, pre-examining and diagnosing questions and manually registering;
(2) manually measuring body temperature, scanning health codes, filling in pre-examination triage questions on line and registering on line;
(3) measuring body temperature by an instrument, scanning health codes, filling in pre-examination triage questions on line and registering on line.
The objective disadvantages of the existing solutions:
(1) with the normalized management of infectious diseases, hospitals need to set pre-examination and triage points at each entrance conventionally; the labor cost is high when medical personnel are configured;
(2) the consumption of protective articles of medical staff is high;
(3) the exposure risk of personnel is high;
(4) the pre-examination and triage work can not be executed in a comprehensive and standard way under the interference of human factors;
(5) manual information registration is easy to miss, and a health code scanning hospital cannot obtain infectious disease detection information of a patient;
(6) at present, some old people cannot use mobile phones or use mobile phones of patients to carry flow, and the mobile phones are slow in network speed and easy to cause the gathering of the patients;
(7) all the existing schemes have incomplete pre-examination and triage contents and still need manual work assistance;
(8) the instrument cannot prompt whether to wear the mask normally or not, provide the mask and other related health education contents by measuring the body temperature, and human intervention is needed.
SUMMERY OF THE UTILITY MODEL
To the problem of current infectious disease preliminary examination scheme, the utility model aims to provide an infectious disease intelligence preliminary examination diagnostic equipment realizes the intellectuality and the automation of infectious disease preliminary examination, reduces medical staff's input, can realize patient's identification, body temperature and detect.
The utility model discloses the purpose is realized through following technical scheme.
The utility model provides an intelligent infectious disease pre-examination and triage machine, which comprises a processor, and a memory, a face recognition module, an infrared temperature measurement module, a display screen module, a network module and a printing module which are respectively connected with the processor; the processor is also connected with a background.
Preferably, the diagnostic machine further comprises a mask vending module connected to the processor.
Preferably, the mask vending module comprises a mask vending window provided on the diagnostic machine.
Preferably, the diagnostic machine further comprises a hand sanitizer module coupled to the processor.
Preferably, the hand disinfection module comprises a hand disinfection window arranged on the triage machine.
The utility model has the advantages that: the intelligent health-care mask selling machine integrates the functions of face recognition, body temperature detection, automatic transmission of health codes, related infectious disease detection results, pre-examination triage auxiliary problems, self-service mask selling, health education and treatment guidance and the like, improves the intellectualization and automation of infectious disease pre-examination, reduces the investment of medical staff, reduces the consumption of protective articles, reduces the exposure risk of the medical staff, and can carry out pre-examination triage work comprehensively and normatively.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and obviously, the drawings described below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a block diagram of an intelligent pre-examination and diagnosis machine provided in embodiment 1;
FIG. 2 is a block diagram showing the structure of the intelligent pre-examination and diagnosis machine provided in embodiment 2;
fig. 3 is a block diagram of the intelligent pre-examination diagnosis machine provided in embodiment 3.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings, and it is to be understood that the described embodiments are only some embodiments, but not all embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by a person of ordinary skill in the art without creative efforts belong to the protection scope of the present invention.
Example 1
As shown in fig. 1, the present embodiment provides an intelligent infectious disease pre-inspection diagnosis machine, which includes a processor, and a memory, a face recognition module, an infrared temperature measurement module, a display screen module, a network module, and a printing module, which are respectively connected to the processor; the processor is also connected with a background.
The embodiment also provides a pre-inspection method applying the infectious disease intelligent pre-inspection classifier, and the infectious disease intelligent pre-inspection method comprises the following steps:
and S1, the face recognition module carries out identity recognition by scanning the face, and the face recognition module supports the mask wearing recognition.
S2, when the identity is identified, the infrared temperature measuring module receives the infrared signal of the human body, detects the body temperature of the human body and displays the body temperature on the display screen module.
And S3, after the identity is identified, the patient confirms the identification result, the display screen module receives the confirmation signal of the patient and transmits the confirmation signal to the processor, and the processor calls the health code and infectious disease detection information of the patient through the network module, for example, calls the antibody detection result of the patient when respiratory infectious diseases occur.
S4, the processor calls the auxiliary problems of pre-examination diagnosis in the memory and inquires the auxiliary problems of pre-examination diagnosis to the patient through the display screen module; the patient operating on the display screen to answer the pre-screening triage assistance questions; the display screen module receives feedback signals from the patient to answer the questions and transmits the feedback signals back to the processor. This step increases the problem of not being covered by the health code, such as increasing the problem of whether the patient has fever or cough in about 2 weeks, whether there are aggregation cases nearby, etc., and the patient manually clicks.
S5, the printing module prints the visit pass code: firstly, if the body temperature is normal, a green health code exists, the infectious disease detection result is negative, and the auxiliary problem is normal, a green visiting pass code is presented; secondly, if the body temperature is normal, green health codes exist, the detection result of infectious diseases does not exist, and the auxiliary problem is normal, a yellow diagnosis passing code is presented; and thirdly, if the body temperature is abnormal, the health code is non-green, the infectious disease detection result is positive or the auxiliary problem is abnormal, the red treatment code is displayed, the processor feeds back the background to give an early warning to the staff, and the staff wears the protective articles to guide the patient to a heating outpatient service or an isolation consulting room to see a doctor on site. The abnormal body temperature is set to be the body temperature exceeding 37.2 ℃, and abnormal body temperature data are fed back to the background by the processor.
Wherein, the visit pass code is also printed with the current important infectious disease prevention and control health education common knowledge to increase the infectious disease prevention and control knowledge of the patients.
The classification standard of the pre-inspection triage auxiliary problem and the diagnosis code can be adjusted through background maintenance.
The diagnosis machine of the embodiment integrates the functions of face recognition, body temperature detection, automatic transmission of health codes and related infectious disease detection results, pre-examination diagnosis assistance, health education and treatment guidance, and the like, improves the intellectualization and automation of infectious disease pre-examination, reduces the investment of medical staff, reduces the consumption of protective articles, reduces the exposure risk of the medical staff, and can carry out pre-examination diagnosis work comprehensively and normatively.
Example 2
As shown in fig. 2, on the basis of the diagnostic machine of embodiment 1, a mask vending module is added to the diagnostic machine of this embodiment, and is connected to the processor. The gauze mask selling module comprises a gauze mask selling window arranged on the triage machine.
Accordingly, on the basis of the intelligent infectious disease pre-detection method in embodiment 1, in the intelligent infectious disease pre-detection method in this embodiment, the steps between S4 and S5 further include: the face recognition module judges whether the patient wears the mask, does not wear the mask and then reminds the patient to wear the mask, perhaps reminds the patient to purchase the mask by oneself on the diagnosis machine to take away the mask on the mask selling window that sets up on the diagnosis machine.
Example 3
As shown in fig. 3, on the basis of the diagnostic machine of embodiment 2, the diagnostic machine of this embodiment further adds a hand disinfection module, which is connected to the processor. The hand disinfection module comprises a hand disinfection window arranged on the triage machine.
Accordingly, based on the intelligent infectious disease pre-detection method of embodiment 2, in the intelligent infectious disease pre-detection method of this embodiment, step S5 is followed by step S6: the patient is prompted on the display screen to carry out hand disinfection on a hand disinfection window arranged on the diagnostic machine, and when the patient stretches the hand into the hand disinfection window, the diagnostic machine carries out spray disinfection.
Claims (5)
1. An intelligent infectious disease pre-inspection diagnosis machine is characterized by comprising a processor, a memory, a face recognition module, an infrared temperature measurement module, a display screen module, a network module and a printing module, wherein the memory, the face recognition module, the infrared temperature measurement module, the display screen module, the network module and the printing module are respectively connected with the processor; the processor is also connected with a background.
2. An intelligent infectious disease pre-screening and sorting machine as claimed in claim 1, further comprising a mask vending module connected to the processor.
3. An intelligent infectious disease pre-screening and triage machine as claimed in claim 2, wherein the mask vending module comprises a mask vending window disposed on the triage machine.
4. An intelligent pre-screening diagnostic of an infectious disease as recited in claim 1, further comprising a hand disinfection module coupled to the processor.
5. An intelligent pre-inspection diagnostic of an infectious disease as recited in claim 4, wherein the hand disinfection module comprises a hand disinfection window disposed on the diagnostic.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202021121197.1U CN212570410U (en) | 2020-06-17 | 2020-06-17 | Intelligent infectious disease pre-inspection and triage machine |
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| CN202021121197.1U CN212570410U (en) | 2020-06-17 | 2020-06-17 | Intelligent infectious disease pre-inspection and triage machine |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114093487A (en) * | 2021-12-07 | 2022-02-25 | 扬中市人民医院 | Pre-examination registration and diagnosis system and method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114093487A (en) * | 2021-12-07 | 2022-02-25 | 扬中市人民医院 | Pre-examination registration and diagnosis system and method |
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