CN219721505U - Intelligent hook for intravenous injection - Google Patents
Intelligent hook for intravenous injection Download PDFInfo
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- CN219721505U CN219721505U CN202223017324.5U CN202223017324U CN219721505U CN 219721505 U CN219721505 U CN 219721505U CN 202223017324 U CN202223017324 U CN 202223017324U CN 219721505 U CN219721505 U CN 219721505U
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- infusion
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- 238000010253 intravenous injection Methods 0.000 title claims abstract description 13
- 238000001802 infusion Methods 0.000 claims abstract description 79
- 239000003814 drug Substances 0.000 claims abstract description 16
- 238000001990 intravenous administration Methods 0.000 claims abstract description 14
- 230000001815 facial effect Effects 0.000 claims abstract description 13
- 239000007788 liquid Substances 0.000 claims abstract description 10
- 230000001360 synchronised effect Effects 0.000 claims abstract description 4
- 201000010099 disease Diseases 0.000 claims abstract description 3
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims abstract description 3
- 238000012797 qualification Methods 0.000 claims abstract description 3
- 230000000694 effects Effects 0.000 claims description 9
- 238000004891 communication Methods 0.000 claims description 8
- 230000005484 gravity Effects 0.000 claims description 7
- 230000002093 peripheral effect Effects 0.000 claims description 3
- 230000001788 irregular Effects 0.000 abstract description 4
- 230000000007 visual effect Effects 0.000 description 26
- 238000000034 method Methods 0.000 description 5
- 239000000243 solution Substances 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 229940079593 drug Drugs 0.000 description 3
- 238000007726 management method Methods 0.000 description 3
- 238000007639 printing Methods 0.000 description 3
- WQZGKKKJIJFFOK-GASJEMHNSA-N Glucose Natural products OC[C@H]1OC(O)[C@H](O)[C@@H](O)[C@@H]1O WQZGKKKJIJFFOK-GASJEMHNSA-N 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 230000006866 deterioration Effects 0.000 description 2
- 239000008103 glucose Substances 0.000 description 2
- FBPFZTCFMRRESA-KVTDHHQDSA-N D-Mannitol Chemical compound OC[C@@H](O)[C@@H](O)[C@H](O)[C@H](O)CO FBPFZTCFMRRESA-KVTDHHQDSA-N 0.000 description 1
- 102000006395 Globulins Human genes 0.000 description 1
- 108010044091 Globulins Proteins 0.000 description 1
- 229930195725 Mannitol Natural products 0.000 description 1
- FAPWRFPIFSIZLT-UHFFFAOYSA-M Sodium chloride Chemical compound [Na+].[Cl-] FAPWRFPIFSIZLT-UHFFFAOYSA-M 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- XEYBHCRIKKKOSS-UHFFFAOYSA-N disodium;azanylidyneoxidanium;iron(2+);pentacyanide Chemical compound [Na+].[Na+].[Fe+2].N#[C-].N#[C-].N#[C-].N#[C-].N#[C-].[O+]#N XEYBHCRIKKKOSS-UHFFFAOYSA-N 0.000 description 1
- 239000003792 electrolyte Substances 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 230000002706 hydrostatic effect Effects 0.000 description 1
- 238000002347 injection Methods 0.000 description 1
- 239000007924 injection Substances 0.000 description 1
- 238000002372 labelling Methods 0.000 description 1
- 230000003902 lesion Effects 0.000 description 1
- 239000000594 mannitol Substances 0.000 description 1
- 235000010355 mannitol Nutrition 0.000 description 1
- 230000000474 nursing effect Effects 0.000 description 1
- 239000002504 physiological saline solution Substances 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 229940083618 sodium nitroprusside Drugs 0.000 description 1
- 239000008174 sterile solution Substances 0.000 description 1
- 230000001502 supplementing effect Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Landscapes
- Infusion, Injection, And Reservoir Apparatuses (AREA)
Abstract
The utility model discloses an intelligent hook for intravenous injection, which comprises a shell and hooks uniformly distributed on the periphery of the shell, wherein an initialization module is arranged on the intelligent hook; the lower part of the shell is provided with a vision acquisition module, and the interior of the shell is provided with a microprocessor respectively connected with the initialization module and the vision acquisition module; the infusion database module comprises an operator facial feature data table unit, a patient infusion doctor advice data table unit and a log data table unit, wherein the operator facial feature data table unit stores facial image information of patients who have intravenous infusion operation qualification staff in a disease area, the patient infusion doctor advice data table unit stores infusion bottle and liquid medicine features and intravenous infusion doctor advice of synchronous patients, and the log data table unit is used for storing result information of each infusion bedside check. The utility model not only can realize the infusion check at the physical level, but also can reduce the irregular use.
Description
Technical Field
The utility model relates to the technical field of infusion hooks, in particular to an intelligent hook for intravenous injection.
Background
Intravenous infusion refers to a method of delivering large amounts of sterile solutions, electrolytes, and drugs into a patient's body using atmospheric pressure or hydrostatic pressure, and is one of the routes of administration commonly used in current clinical practice. The administration of incorrect types, concentrations, metered amounts of drugs can affect the efficacy and even threaten the life safety of the patient. Therefore, the three-check seven-pair is emphasized in clinical work, and the accuracy of intravenous transfusion is ensured by checking the three-check seven-pair by many links and many persons, but the occurrence of error events cannot be stopped.
The bedside checking is the last relation of checking work, and the information technology is introduced to strengthen the checking work, so that errors caused by human factors can be effectively avoided. The main technical scheme at present is that the terminal such as nursing PDA, intelligent infusion pump, intelligent equipment belt is utilized, the label content of the infusion bottle is identified through the methods such as two-dimension code, bar code, RFID, and the like, and the label content is compared with the infusion doctor's advice of the patient in the database, so that the infusion check is realized. However, the prior art scheme still has the following defects:
1. the existing scheme only realizes the check on the data level, but cannot perform the check on the entity level, namely the check result is only responsible for the infusion bottle label and the terminal, and cannot further identify the actual input medicine and the intravenous infusion operator. The risks caused by wrong labeling of the infusion bottle label, wrong dispensing and unauthorized infusion of qualified personnel cannot be completely eradicated.
2. The existing scheme needs to manually operate related terminals for checking, clinical work is heavy, operators have different work quality, centralized checking before transfusion and abnormal operation such as core supplementing after transfusion often occur, and therefore risk prevention effect cannot be exerted and clinical workflow is interfered.
Disclosure of Invention
The technical problem to be solved by the utility model is to provide the intelligent hook for intravenous injection, which not only can realize the infusion check at the physical level, but also can reduce irregular use.
In order to solve the technical problems, the technical scheme adopted by the utility model is as follows.
An intelligent hook for intravenous injection comprises a shell and hooks uniformly distributed on the periphery of the shell, wherein an initialization module is arranged on the intelligent hook; the lower part of the shell is provided with a vision acquisition module for acquiring vision data required by checking, and a microprocessor which is respectively connected with the initialization module and the vision acquisition module is arranged in the shell; the infusion database module comprises an operator facial feature data table unit, a patient infusion doctor advice data table unit and a log data table unit, wherein the operator facial feature data table unit stores facial image information of intravenous infusion operation qualification personnel in a disease area, the patient infusion doctor advice data table unit stores infusion bottle and liquid medicine features and intravenous infusion doctor advice of a synchronous patient, and the log data table unit is used for storing result information checked by each infusion bedside.
Preferably, a communication module is arranged on the microprocessor.
Preferably, the initialization module is a human body sensor which is arranged on the shell and used for sensing the activities of peripheral personnel of infusion personnel, and the output end of the human body sensor is connected with the input end of the microcontroller.
Preferably, the initialization module is a gravity sensor which is arranged on the hook and used for sensing whether the infusion bottle is hung on the hook, and the output end of the gravity sensor is connected with the input end of the microcontroller.
Preferably, the initialization module is a touch screen which is arranged on the shell and is used for presetting a time period, and the touch screen is electrically connected with the microcontroller; the microprocessor is also provided with a clock module.
Preferably, a power module for providing power is arranged at the lower part of the shell, and the vision acquisition module is arranged at the lower part of the power module.
Preferably, the intelligent hook is provided with a feedback module, the feedback module comprises a voice alarm arranged at the top of the shell and a light alarm arranged on the vision acquisition module, and the controlled ends of the voice alarm and the light alarm are respectively connected with the output end of the microprocessor.
Preferably, the vision acquisition module is a camera capable of rotating for shooting at 360 degrees.
By adopting the technical scheme, the utility model has the following technical progress.
According to the utility model, through the visual acquisition module, the visual identification comparison module and the transfusion database module on the microcontroller, not only can the transfusion check on the physical level be realized, but also the error identification is further improved compared with the conventional transfusion bedside check method and system, and the information such as the text content of the label of the transfusion bottle, the visual characteristics of the transfusion bottle and the solution can be directly identified, so that the conventional transfusion bottle note management and printing system is not required to be modified, and the transfusion system is easy to deploy; through the initialization module that adds, realize checking the automated control of full flow, reduced the irregular use to intelligent couple to reduce the interference to clinical care work, better performance risk precaution effect.
Drawings
FIG. 1 is a schematic diagram of the structure of the present utility model;
FIG. 2 is a schematic block diagram of the present utility model;
FIG. 3 is a block diagram illustrating a microprocessor according to the present utility model;
fig. 4 is a block diagram of an infusion database module of the present utility model.
Wherein: 1. the device comprises a shell, a hook, a power module, a visual acquisition module, a voice alarm and a hanging ring.
Detailed Description
The utility model will be described in further detail with reference to the drawings and the detailed description.
The utility model provides an intelligent hook for intravenous route, combines the fig. 1 to 2 to show, includes casing 1, initialization module, vision collection module 4, feedback module and microprocessor, and wherein, microprocessor is connected with initialization module, vision collection module 4 and feedback module respectively.
Hooks 2 are uniformly distributed on the periphery of the shell 1, the number of the hooks 2 is particularly four, and the hooks 2 are used for hanging infusion bottles (including infusion bags). The top of the shell 1 is provided with a hanging ring 6, and the hanging ring 6 is used for hanging the intelligent hook on the infusion support.
The lower part of the shell 1 is provided with a power module 3, the power module 3 can be connected with a microcontroller, and the microcontroller supplies power for the whole intelligent hook; the power supply module 3 can also supply power to the rest of the modules in case that some of the modules are self-powered.
The vision acquisition module 4 is arranged at the lower part of the power module 3, and the vision acquisition module 4 is a camera capable of rotating for shooting at 360 degrees, and shoots and identifies the whole water hanging process, so that the vision acquisition module can acquire and check the required vision data, such as face images of operators, infusion bottle labels, infusion bottle images and the like. The output end of the vision acquisition module 4 is connected with the input end of the microprocessor, so that acquired vision data are transmitted to the microprocessor; the controlled end of the vision acquisition module 4 is connected with the output end of the microprocessor, so that the vision acquisition module is controlled by the microcontroller to be opened and closed.
The microprocessor is arranged in the shell 1, as shown in fig. 3, and is provided with a communication module, a visual identification comparison module and an infusion database module, wherein the communication module is used for realizing the communication between the microprocessor and each module in a wired or wireless mode; the visual recognition comparison module can receive and store the visual data acquired by the visual acquisition module 4 through the communication module, the input end of the visual recognition comparison module is also connected with the output end of the infusion database module, and the visual recognition comparison module is used for comparing the stored visual data with the data in the infusion database module, and can be specifically based on computer visual logic of a deep neural network, including action recognition, text recognition, face recognition, target detection and the like, so that the infusion check of the entity level is realized.
As shown in fig. 4, the infusion database module is constructed based on a relational database including an operator facial feature data table unit, a patient infusion order data table unit, and a log data table unit.
The operator facial feature data table unit stores facial image information of qualified personnel with intravenous infusion operation in the lesion.
The patient transfusion doctor's advice data table unit is used for storing infusion bottle and liquid medicine characteristic and synchronous patient's intravenous transfusion doctor's advice, and wherein, stores infusion bottle and liquid medicine characteristic and does: (1) infusion bottle types, such as soft bottle for normal saline, soft bag for mannitol, glass bottle for human globulin, etc.; (2) the volume of the infusion bottle, such as the common specification of 5% glucose solution is 100ml, 250ml and 500ml, and the sizes of the infusion bottles are different; (3) the delivery labels of the basic drugs are different in color, for example, the physiological saline is blue, and the 5% glucose solution is green; (4) the color of the solution and the infusion bottle, such as red injection, is dark brown, and the infusion bottle for storing the medicine in dark places such as sodium nitroprusside and the like; (5) the quality of the liquid medicine is generally different in color or turbidity state after the liquid medicine is deteriorated. The patient infusion order data table unit may be in communication connection with a Hospital Information System (HIS) via a communication unit in particular, so as to synchronize the iv infusion order of the patient in the Hospital Information System (HIS). The log data table unit is used for storing information such as the checking result of each infusion bedside.
The initialization module is used for starting the visual acquisition module 4 and the visual identification comparison module. The initialization module can be a human body sensor which is arranged on the shell 1 and used for sensing the activities of peripheral personnel of transfusion personnel; the output end of the human body sensor is connected with the input end of the microcontroller, and when the microcontroller receives the information that the human body sensor senses that personnel activity exists around the infusion personnel, the microcontroller starts the vision acquisition module 4 and the vision identification comparison module.
The initialization module can be a gravity sensor which is used for sensing whether the infusion bottle is hung on the hook 2 or not; the output end of the gravity sensor is connected with the input end of the microcontroller, when the microcontroller receives the information that the infusion medicament is hung on the hook 2 sensed by the gravity sensor, the microcontroller starts the visual acquisition module 4 and the visual identification comparison module.
The initialization module can be a touch screen, the touch screen is arranged on the shell 1, and the touch screen is used for presetting a time period; the touch screen is electrically connected with the microcontroller, the microprocessor is further provided with a clock module, when the microcontroller receives information of a preset time period set by medical staff through the touch screen, the microcontroller monitors time through the clock module, and when the preset time period is reached, the microcontroller starts the vision acquisition module 4 and the vision identification comparison module.
The initialization module may be a combination of any one or more of the three schemes described above.
The feedback module is used for prompting the detected intravenous transfusion check errors to operators and patients by utilizing visual and auditory paths, and comprises a voice alarm 5 and a light alarm, wherein the controlled ends of the voice alarm 5 and the light alarm are respectively connected with the output end of the microprocessor. The voice alarm 5 sets up at the top of casing 1, and voice alarm 5 can send the warning sound suggestion, is respectively: "face recognition error, please check"; "infusion information is not matched, please check again"; "detect deterioration of liquid, suspend infusion"; thereby reminding patients and medical staff to pause transfusion and avoiding error accidents. The light alarm is arranged on the vision acquisition module 4, and when the problems occur, the light alarm can flash in a red light to play a role in warning.
When in use, the utility model specifically comprises the following steps:
the first step: the microprocessor receives the information transmitted by the initialization module, starts the visual acquisition module 4 to execute behavior recognition with the visual recognition comparison module, and detects whether infusion activity is in progress.
And a second step of: when the transfusion activity is detected, the visual acquisition module 4 and the visual identification comparison module execute face identification to judge whether the transfusion system is a department nurse or not, so as to judge whether the transfusion system has the transfusion right, and the faces of a medicine hanging person and a medicine changing person are shot, if the identification result does not exist in the facial feature data table of an operator, the red light of the light alarm is started to flash, the voice alarm 5 is started to send a face identification error, the face identification error is checked, the alarm is given, and related information is transmitted to a log data table unit of the transfusion database module and written.
And a third step of: the visual acquisition module 4 performs text recognition with the visual recognition comparison module, recognizes the text content of the infusion bottle label, compares the text content with the content in the infusion doctor advice data table of the patient with the bed unit, if the text content is inconsistent, starts the red light flashing of the light alarm and starts the voice alarm 5 to send out 'mismatching infusion information, and then re-checks', alarms, and transmits and writes related information to the log data table in the database.
Fourth step: the vision acquisition module 4 performs target detection with the vision recognition comparison module, recognizes the characteristics of the infusion bottle and the liquid medicine, if the characteristics cannot correspond to the label content of the infusion bottle, starts the red light of the light alarm to flash and starts the voice alarm 5 to send out 'mismatching infusion information, re-checks' to give an alarm, and transmits and writes related information to the log data table in the database; if the color change or turbidity occurs, the red light of the light alarm is started to flash, the voice alarm 5 is started to send out 'detect liquid deterioration, suspend transfusion', alarm is given, and related information is transmitted and written into a log data table in the database.
Fifth step: and transmitting and writing data such as operators, operation time, operation detail information and the like to a log data table in the database.
According to the utility model, through the visual acquisition module 4, the visual identification comparison module on the microcontroller and the infusion database module, not only can the infusion check at the physical level be realized, but also the error identification is further improved compared with the existing infusion bedside check method and system, and the information such as the label text content of the infusion bottle, the visual characteristics of the infusion bottle and the solution can be directly identified, so that the existing infusion bottle note management and printing system is not required to be modified, and the infusion bottle note management and printing system is easy to deploy; through the initialization module that adds, realize checking the automated control of full flow, reduced the irregular use to intelligent couple to reduce the interference to clinical care work, better performance risk precaution effect.
Claims (8)
1. The utility model provides an intelligent couple for intravenous route, includes casing (1) and evenly distributed couple (2) at casing (1) week side, its characterized in that: an initialization module is arranged on the intelligent hook; the lower part of the shell (1) is provided with a vision acquisition module (4) for acquiring vision data required by checking, and a microprocessor respectively connected with the initialization module and the vision acquisition module (4) is arranged in the shell (1); the infusion database module comprises an operator facial feature data table unit, a patient infusion doctor advice data table unit and a log data table unit, wherein the operator facial feature data table unit stores facial image information of intravenous infusion operation qualification personnel in a disease area, the patient infusion doctor advice data table unit stores infusion bottle and liquid medicine features and intravenous infusion doctor advice of a synchronous patient, and the log data table unit is used for storing result information checked by each infusion bedside.
2. The intelligent hook for intravenous injection according to claim 1, wherein: and the microprocessor is provided with a communication module.
3. The intelligent hook for intravenous injection according to claim 1, wherein: the initialization module is a human body sensor which is arranged on the shell (1) and used for sensing the activities of peripheral personnel of infusion personnel, and the output end of the human body sensor is connected with the input end of the microcontroller.
4. The intelligent hook for intravenous injection according to claim 1, wherein: the initialization module is arranged on the hook (2) and used for sensing whether the hook (2) is hung with a gravity sensor of an infusion bottle, and the output end of the gravity sensor is connected with the input end of the microcontroller.
5. The intelligent hook for intravenous injection according to claim 1, wherein: the initialization module is a touch screen which is arranged on the shell (1) and is used for presetting a time period, and the touch screen is electrically connected with the microcontroller; the microprocessor is also provided with a clock module.
6. The intelligent hook for intravenous injection according to claim 1, wherein: the lower part of casing (1) is provided with power module (3) that are used for providing the power, and vision collection module (4) set up in the lower part of power module (3).
7. The intelligent hook for intravenous injection according to claim 1, wherein: the intelligent hook is provided with a feedback module, the feedback module comprises a voice alarm (5) arranged at the top of the shell (1) and a light alarm arranged on the vision acquisition module (4), and the controlled ends of the voice alarm (5) and the light alarm are respectively connected with the output end of the microprocessor.
8. The intelligent hook for intravenous injection according to claim 1, wherein: the vision acquisition module (4) is a camera capable of rotating for shooting at 360 degrees.
Priority Applications (1)
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CN202223017324.5U CN219721505U (en) | 2022-11-14 | 2022-11-14 | Intelligent hook for intravenous injection |
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CN202223017324.5U CN219721505U (en) | 2022-11-14 | 2022-11-14 | Intelligent hook for intravenous injection |
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