CN112164457B - A method and device for managing instruments in a hemodialysis room - Google Patents
A method and device for managing instruments in a hemodialysis room Download PDFInfo
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- CN112164457B CN112164457B CN202011145122.1A CN202011145122A CN112164457B CN 112164457 B CN112164457 B CN 112164457B CN 202011145122 A CN202011145122 A CN 202011145122A CN 112164457 B CN112164457 B CN 112164457B
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Abstract
本发明公开了一种血透室器械管理方法和装置，获得第一血透室的第一器械的基础信息；获得第一器械的第一校正信息，判断第一校正结果是否满足第一预定校正标准，当满足时，获得所述第一器械的第一使用时间；获得所述第一器械在第一使用时间后的第一消毒参数；通过第一摄像装置获得第一器械在第一使用时间的第一使用患者信息；将第一消毒参数、第一使用患者信息输入第一训练模型，获得所述第一训练模型的第一输出结果，所述第一输出结果包括第一器械感染风险等级为一级的第二消毒参数；将第二消毒参数用于第一器械在第一使用患者的使用后消毒。解决了现有技术中医护人员对设备进行管理，存在器械管理不准确、不合理导致存在安全隐患的技术问题。
The invention discloses a device management method and device in a hemodialysis room, which can obtain basic information of a first device in a first hemodialysis chamber; obtain first calibration information of the first device, and judge whether the first calibration result satisfies the first predetermined calibration Criteria, when satisfied, obtain the first use time of the first device; obtain the first disinfection parameter of the first device after the first use time; obtain the first use time of the first device through the first camera device The first used patient information; the first disinfection parameters and the first used patient information are input into the first training model, and the first output result of the first training model is obtained, and the first output result includes the first equipment infection risk level is the second sterilization parameter of the first level; the second sterilization parameter is used for sterilization of the first instrument after use of the first user patient. The technical problem of inaccurate and unreasonable equipment management in the prior art when medical staff manages equipment is solved.
Description
Technical Field
The invention relates to the field of hemodialysis room instrument management, in particular to a hemodialysis room instrument management method and a hemodialysis room instrument management device.
Background
The instruments in the hemodialysis chamber begin to establish files after entering the hemodialysis chamber, the equipment is kept by a specially-assigned person, and the specially-assigned person overhauls the equipment regularly, but if the instruments are sparse and dense, any small negligence can bring unpredictable serious consequences.
However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application find that the above-mentioned technology has at least the following technical problems:
medical personnel manage equipment in the prior art, and the technical problem that potential safety hazards exist due to inaccurate and unreasonable instrument management exists.
Disclosure of Invention
The embodiment of the application provides a hemodialysis room instrument management method and device, and solves the technical problem that potential safety hazards exist due to the fact that medical staff manage equipment inaccurately and unreasonably in the prior art, so that more accurate and reasonable instrument management is achieved, and the technical effects of reducing the potential safety hazards are achieved.
In view of the above problems, embodiments of the present application provide a hemodialysis chamber instrument management method and device.
In a first aspect, an embodiment of the present application provides a hemodialysis room instrument management method, where the method is applied to a hemodialysis room instrument management platform, where the hemodialysis room instrument management platform is connected to a first imaging device, and the method includes: obtaining base information for a first instrument of a first hemodialysis chamber; obtaining first correction information of the first instrument, wherein the first correction information comprises a first correction result of the first instrument; judging whether the first correction result meets a first preset correction standard or not, and if so, obtaining first service time of the first instrument; obtaining a first sterilization parameter of the first instrument after a first use time; obtaining first use patient information of the first instrument at the first use time through a first camera device; inputting the first disinfection parameters and first usage patient information into a first training model, the first training model being obtained by training multiple sets of training data, each of the multiple sets of training data including: the first disinfection parameter, first usage patient information, and identification information identifying a level of risk of infection of the first instrument; obtaining a first output result of the first training model, the first output result comprising a second disinfection parameter with a first instrument infection risk level of one grade; using the second sterilization parameter for sterilization of the first instrument after use by a first use patient.
In another aspect, the present application also provides a hemodialysis room instrument management device, the device comprising: a first obtaining unit for obtaining basic information of a first instrument of a first hemodialysis chamber; a second obtaining unit configured to obtain first correction information of the first instrument, the first correction information including a first correction result of the first instrument; the first judging unit is used for judging whether the first correction result meets a first preset correction standard or not, and when the first correction result meets the first preset correction standard, the first using time of the first instrument is obtained; a third obtaining unit for obtaining a first disinfection parameter of the first instrument after a first use time; a fourth obtaining unit configured to obtain, by a first imaging device, first usage patient information of the first instrument at the first usage time; a first input unit for inputting the first disinfection parameter and first usage patient information into a first training model, the first training model being obtained by training a plurality of sets of training data, each of the plurality of sets of training data including: the first disinfection parameter, first usage patient information, and identification information identifying a level of risk of infection of the first instrument; a fifth obtaining unit, configured to obtain a first output result of the first training model, where the first output result includes a second disinfection parameter with a first instrument infection risk level of one level; a first application unit to use the second sterilization parameter for sterilization of the first instrument after use by a first use patient.
In a third aspect, the present invention provides a hemodialysis room apparatus management device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of the first aspect when executing the program.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
whether the correction result of the first instrument meets the preset correction standard or not is judged according to the basic information of the first instrument, when the preset correction standard is met, the first using patient information of the first instrument at the first time is obtained through the first camera device, the first disinfection parameter and the first using patient information are input into the first training model, and the proper disinfection mode matched with the first patient after use is obtained as the disinfection treatment of the first instrument based on the continuous self-correction and adjustment mode of the training model, so that the technical effects of more accurately and reasonably managing the instrument and reducing the potential safety hazard are achieved.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
FIG. 1 is a schematic flow chart illustrating a method for managing a hemodialysis chamber instrument according to an embodiment of the present disclosure;
FIG. 2 is a schematic structural diagram of a hemodialysis chamber instrument management device according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a first judging unit 13, a third obtaining unit 14, a fourth obtaining unit 15, a first input unit 16, a fifth obtaining unit 17, a first application unit 18, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, and a bus interface 306.
Detailed Description
The embodiment of the application provides a hemodialysis room instrument management method and device, solves the technical problem that potential safety hazards exist due to the fact that equipment management is inaccurate and unreasonable when equipment management is conducted by a specially-assigned person in the prior art, and achieves the technical effects of managing the instruments more accurately and reasonably and reducing the potential safety hazards. Hereinafter, example embodiments according to the present application will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are merely some embodiments of the present application and not all embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments described herein.
Summary of the application
The instruments in the hemodialysis chamber begin to establish files after entering the hemodialysis chamber, the equipment is kept by a specially-assigned person, and the specially-assigned person overhauls the equipment regularly, but if the instruments are sparse and dense, any small negligence can bring unpredictable serious consequences. However, in the prior art, medical staff manage equipment, and the technical problem of potential safety hazards caused by inaccurate and unreasonable instrument management exists.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the embodiment of the application provides a hemodialysis room instrument management method, which is applied to a hemodialysis room instrument management platform, wherein the hemodialysis room instrument management platform is connected with a first camera device, and the method comprises the following steps: obtaining base information for a first instrument of a first hemodialysis chamber; obtaining first correction information of the first instrument, wherein the first correction information comprises a first correction result of the first instrument; judging whether the first correction result meets a first preset correction standard or not, and if so, obtaining first service time of the first instrument; obtaining a first sterilization parameter of the first instrument after a first use time; obtaining first use patient information of the first instrument at the first use time through a first camera device; inputting the first disinfection parameters and first usage patient information into a first training model, the first training model being obtained by training multiple sets of training data, each of the multiple sets of training data including: the first disinfection parameter, first usage patient information, and identification information identifying a level of risk of infection of the first instrument; obtaining a first output result of the first training model, the first output result comprising a second disinfection parameter with a first instrument infection risk level of one grade; using the second sterilization parameter for sterilization of the first instrument after use by a first use patient.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
As shown in fig. 1, an embodiment of the present application provides a hemodialysis room instrument management method, where the method is applied to a hemodialysis room instrument management platform, and the hemodialysis room instrument management platform is connected to a first imaging device, where the method includes:
step S100: obtaining base information for a first instrument of a first hemodialysis chamber;
specifically, the first hemodialysis chamber is a hemodialysis chamber, and is a place where a renal replacement therapy is performed on a patient suffering from chronic renal failure or acute renal failure due to a related disease by a hemodialysis method. The first instrument is a medical instrument of the hemodialysis chamber, and relevant basic information of the first instrument of the hemodialysis chamber is obtained.
Step S200: obtaining first correction information of the first instrument, wherein the first correction information comprises a first correction result of the first instrument;
specifically, the first correction information is information for determining execution of a predetermined process for determining a relationship between a known input value and an output value, which is performed under a predetermined condition, and it is determined whether the first instrument can satisfy a use requirement or not, based on a result of the correction.
Step S300: judging whether the first correction result meets a first preset correction standard or not, and if so, obtaining first service time of the first instrument;
specifically, the first preset correction standard is a different preset calibration standard value set according to different instruments, the standard value is used for judging whether the instrument can meet the preset use requirement after being corrected, and when the correction result can meet the first preset correction standard, the first use time of the first instrument is obtained, and the first use time is the use time information of the patient who uses the first instrument recently.
Step S400: obtaining a first sterilization parameter of the first instrument after a first use time;
step S500: obtaining first use patient information of the first instrument at the first use time through a first camera device;
specifically, the first disinfection parameter is a conventional disinfection parameter after the first instrument is used, the first camera device is a camera device with an imaging function, first use patient information of the first instrument at a first use time is obtained through the first camera device, and the use patient information includes a current disease condition of the patient and other possible disease condition information.
Step S600: inputting the first disinfection parameters and first usage patient information into a first training model, the first training model being obtained by training multiple sets of training data, each of the multiple sets of training data including: the first disinfection parameter, first usage patient information, and identification information identifying a level of risk of infection of the first instrument;
step S700: obtaining a first output result of the first training model, the first output result comprising a second disinfection parameter with a first instrument infection risk level of one grade;
specifically, the first disinfection parameters and the first usage patient information are input into a first training model, which is a Neural network model in machine learning, and a Neural Network (NN) is a complex Neural network system formed by widely connecting a large number of simple processing units (called neurons), reflects many basic features of human brain functions, and is a highly complex nonlinear dynamical learning system. Neural network models are described based on mathematical models of neurons. Artificial Neural Networks (Artificial Neural Networks) are a description of the first-order properties of the human brain system. Briefly, it is a mathematical model. And inputting the first disinfection parameters and the first used patient information into a neural network model through training of a large number of training data sets, and outputting second disinfection parameters with the first instrument infection risk level as one grade.
More specifically, the training process is essentially a supervised learning process, each set of supervised data includes the first disinfection parameter, the first usage patient information, and the identification information identifying the first equipment infection risk level, the first disinfection parameter and the first usage patient information are input into the neural network model, and the disinfection parameter is adaptively adjusted according to the identification information identifying the first equipment infection risk level until the obtained equipment infection risk level is one level. The neural network model is continuously self-corrected and adjusted, the acquired risk level of the appliance infection is first grade, the group of data supervised learning is finished, and the next group of data supervised learning is carried out; and when the output information of the neural network model reaches a convergence state, finishing the supervised learning process. Through the supervision and learning of the neural network model, the judgment of the neural network model on the conditions of different patients is more accurate, and then the second disinfection parameter with the output first appliance infection risk level as the first level is more reasonable, so that more accurate and reasonable management appliances are achieved, and the technical effect of reducing potential safety hazards is achieved.
Step S800: using the second sterilization parameter for sterilization of the first instrument after use by a first use patient.
Particularly, according to the second disinfection parameter output by the first training model, the first instrument is disinfected, so that the first instrument is safer, the risk of infection of multiple people by the instrument is reduced, more accurate and reasonable instrument management is achieved, and the technical effect of potential safety hazards is reduced.
Further, the step S300 of determining whether the first correction result meets a first predetermined correction criterion further includes:
step S310: when the first correction result does not meet a first preset correction standard, obtaining a correction parameter for performing first correction;
step S320: judging whether the correction parameters meet the correction requirements or not;
step S330: when the correction parameters meet the correction requirements, obtaining a first overhaul instruction;
step S340: and overhauling the first instrument according to the first overhauling instruction.
Specifically, when the first instrument is not corrected, firstly, a correction parameter which is just corrected is obtained through a hemodialysis room instrument management platform, whether the correction parameter meets the correction requirement of the first instrument or not is judged, when the correction parameter meets the correction requirement, a first overhaul instruction is obtained at the moment, and the first instrument is overhauled according to the overhaul instruction. When the correction is not satisfactory, the correction parameters are checked, and the instrument is ensured to meet the use requirement.
Further, the embodiment of the present application further includes:
step S910: obtaining first borrowing information of a second hemodialysis chamber;
step S920: obtaining equipment requirement information of a first hemodialysis chamber through the hemodialysis chamber equipment management platform;
step S930: inputting the first borrowing information and equipment requirement information of the first hemodialysis room into a convolutional neural network model, wherein the convolutional neural network model is obtained by training a large amount of training data, and each set of the training data comprises: the first borrowing information, the equipment requirement information of the first hemodialysis chamber and equipment identification information which identifies different time periods and can coordinate the second hemodialysis chamber;
step S940: obtaining a second output of the convolutional neural network model, the second output including device identification information that may be coordinated to a second hemodialysis chamber;
step S950: and performing equipment coordination on the second hemodialysis chamber according to the second output result, and marking the coordinated equipment.
In particular, the apparatus of the hemodialysis chamber cannot be easily borrowed, but requires special handling when an emergency situation arises. The second hemodialysis room may be a second hemodialysis department of a current hospital, or may be a hemodialysis room of another neighboring hospital, and is not particularly limited herein. Obtaining first borrowing information of a second hemodialysis chamber, wherein the borrowing information comprises information related to borrowed equipment, time and the like, estimating equipment use requirements in the first borrowing time of a first hemodialysis chamber according to a hemodialysis chamber instrument management platform, and further inputting the first borrowing information and the equipment requirement information of the first hemodialysis chamber into a convolutional neural network model, wherein the convolutional neural network model is obtained through a large amount of data training, and each set of the training data of the Dring ningde comprises: the first borrowing information, the equipment requirement information of the first hemodialysis chamber and equipment identification information which identifies different time periods and can coordinate the second hemodialysis chamber; the device information capable of coordinating the second hemodialysis chamber is obtained through the convolutional neural network model, the device coordination is carried out on the second hemodialysis chamber according to the output result, the device to be coordinated is marked after being disinfected, the device use condition of the first hemodialysis chamber in the borrowing time period is pre-estimated through the neural network model, then the more accurate device use condition and the borrowable device information can be obtained, and the technical effect of more accurately and reasonably managing the device is achieved.
Further, in the step S950 of performing device coordination on the second hemodialysis room according to the second output result, in this embodiment of the present application, the method further includes:
step S951: generating, by the hemodialysis room instrument management platform, a first borrowing instruction;
step S952: performing borrowing authority examination and approval on the first borrowing instruction;
step S953: and when the borrowing permission passes the approval, performing instrument borrowing on the second hemodialysis room according to the approved first borrowing instruction.
Specifically, when blood passes through room instrument management platform and receives first reference information, right the authentication processing is carried out to first reference information, and after the authentication passed, blood passed through room instrument management platform and generates first reference instruction, will first reference instruction carries out the authority examination and approval, judges whether the apparatus of the borrowed of telling is in the authority scope of the reference of second blood passes through the room, works as after the authority examination and approval passes, according to examine and approve the first reference instruction that passes and carry out the apparatus reference to second blood and pass through the room. The transfer permission of the second hemodialysis room is limited, so that the transfer instrument can be managed more reasonably and accurately.
Further, the embodiment of the present application further includes:
step S1010: obtaining basic information of a second instrument, wherein the second instrument is a disposable instrument;
step S1020: determining whether the second instrument has been used;
step S1030: when the second instrument is used, obtaining a first processing mode according to the basic information of the second instrument;
step S1040: and processing the second instrument according to the first processing mode.
Specifically, the second device is a disposable device, for example, the second device may be a dialysis line, a dialyzer, a puncture needle, or the like, and determines whether the second device has been used, and when the second device is used, a first treatment mode is generated according to a medical waste management regulation according to a difference in classification mode of the second device, and the second device is treated according to the first treatment mode. Through supervision and treatment on the disposable instruments, the disposable instruments are treated according to the characteristics of the attributes of the disposable instruments and by combining with medical waste management regulations, and the technical effect of more accurately and reasonably managing the instruments is achieved.
Further, the embodiment of the present application further includes:
step S1050: obtaining first position information of the first instrument;
step S1060: judging whether the placement position of the first instrument meets the requirements or not according to a first camera device;
step S1070: when the placing position of the first instrument does not meet the requirement, a first early warning instruction is obtained;
step S1080: and early warning is carried out on the deviation of the placing position of the first instrument according to the first early warning instruction.
Specifically, in the hemodialysis room, different instruments have their own specified placement positions, first position information of the first instrument during use is obtained, whether the first position meets the requirements or not is judged through a first camera device, the requirements are positions where the first instrument needs to be placed in the use process, when the placement positions do not meet the requirements, a first early warning instruction is obtained, early warning is carried out on the placement position offset of the first instrument according to the early warning instruction, and further, the first position can also be the placement position where the first instrument is idle, and early warning is carried out according to whether the placement position where the first instrument is idle meets the requirements or not. The method for monitoring the use time and the placement position of the idle time of the first instrument enables the position information of the first instrument to meet the specified requirements, and reduces the risk of medical accidents caused by position deviation of the instrument due to objective factors.
Further, before the inputting the first disinfection parameter and the first usage patient information into the first training model, step S600 in this embodiment of the present application further includes:
step S610: generating a first identification code according to the first using patient information, wherein the first identification code corresponds to the first using patient information one to one;
step S620: generating a second identification code according to the second using patient information and the first identification code, wherein the second identification code corresponds to the second using patient information one by one, and so on, and generating an Nth identification code according to the Nth using patient information and an N-1 identification code, wherein the Nth identification code corresponds to the Nth using patient information one by one, and N is a natural number greater than 1;
step S630: and respectively copying and storing the information of the patient and the identification code on M electronic devices, wherein M is a natural number greater than 1.
In particular, the blockchain technique, also referred to as a distributed ledger technique, is an emerging technique in which several computing devices participate in "accounting" together, and maintain a complete distributed database together. The blockchain technology has been widely used in many fields due to its characteristics of decentralization, transparency, participation of each computing device in database records, and rapid data synchronization between computing devices. Generating a first identification code according to the first using patient information, wherein the first using patient information corresponds to first requirement information one to one; a second identification code generated according to the second using patient information and the first identification code, wherein the second using patient information corresponds to the second identification code one by one; and in the same way, generating an Nth identification code according to the Nth usage patient information and the (N-1) th identification code, wherein N is a natural number larger than 1. Respectively copying and storing all the patient information and the identification codes on M devices, wherein the first patient information and the first identification code are stored on one device as a first storage unit, the second patient information and the second identification code are stored on one device as a second storage unit, the Nth patient information and the Nth identification code are stored on one device as an Nth storage unit, when the patient information is required to be called, after receiving the data stored by the previous node, each subsequent node checks through a common identification mechanism and stores, and each storage unit is connected in series through a hash function, so that the patient information is not easy to lose and damage, and the patient information is encrypted through logic of a block chain, thereby ensuring the safety of the patient information, the data stored on the multiple devices are processed through a consensus mechanism, when one or more devices are tampered, the obtained information of the patient is still accurate as long as the number of the devices storing correct data is larger than the number of the tampered devices, the safety of the information of the patient is further guaranteed, the accuracy of a first training model obtained through supervision of the information of the patient is further guaranteed, the more accurate second disinfection parameters with the first instrument infection risk level as one level are further obtained, the instruments are further sterilized more accurately, and the technical effect of more accurately and reasonably managing the instruments is further achieved.
Further, the step S630 of copying and storing the information about the patient and the identification code on M electronic devices respectively further includes:
step S631: using the first usage patient information and the first identification code as a first storage unit;
step S632: obtaining a predetermined recording time of the first storage unit;
step S633: obtaining a first electronic device with the fastest transport capacity in the M electronic devices;
step S634: and sending the recording right of the first storage unit to the first electronic equipment.
Specifically, the first using patient information and the first identification code are used as a first storage unit, the device which cannot record the first storage unit within a preset time is excluded, the device which records the first storage unit with the highest capacity in M devices is obtained, and the recording right of the first storage unit is given to the device. Furthermore, the second using patient information and the second identification code are used as a second storage unit, the Nth using patient information and the Nth identification code are used as an Nth storage unit, and the second storage unit, the third storage unit and the Nth storage unit adopt a recording method like the first storage unit, so that the safe, effective and stable operation of a decentralized block chain system is ensured, the storage units can be rapidly and accurately recorded in equipment, the accuracy of a first training model obtained by using patient information supervision is ensured, a second sterilization parameter with a more accurate first instrument infection risk level as one level is obtained, more accurate instrument sterilization is achieved, and the technical effect of more accurate and reasonable instrument management is achieved.
In summary, the method and the device for managing the hemodialysis room instrument provided by the embodiment of the present application have the following technical effects:
1. whether the correction result of the first instrument meets the preset correction standard or not is judged according to the basic information of the first instrument, when the preset correction standard is met, the first using patient information of the first instrument at the first time is obtained through the first camera device, the first disinfection parameter and the first using patient information are input into the first training model, and the proper disinfection mode matched with the first patient after use is obtained as the disinfection treatment of the first instrument based on the continuous self-correction and adjustment mode of the training model, so that the technical effects of more accurately and reasonably managing the instrument and reducing the potential safety hazard are achieved.
2. The mode that the device information capable of coordinating the second hemodialysis chamber is obtained through the convolutional neural network model is adopted, the device coordination is carried out on the second hemodialysis chamber according to the output result, the device which is subjected to coordination is marked after being disinfected, the device use condition of the first hemodialysis chamber in the borrowing time period is pre-estimated through the neural network model, and then more accurate device use condition and borrowable device information can be obtained, and the technical effect of more accurate and reasonable device management is achieved.
3. Due to the fact that the disposable instrument is supervised, the disposable instrument is processed according to the property of the disposable instrument and by combining with the medical waste management regulations, and the technical effect of managing the instrument more accurately and reasonably is achieved.
Example two
Based on the same inventive concept as the hemodialysis room instrument management method in the previous embodiment, the present invention further provides a hemodialysis room instrument management device, as shown in fig. 2, the device comprising:
a first obtaining unit 11 for obtaining basic information of a first instrument of a first hemodialysis chamber 11;
a second obtaining unit 12, configured to obtain first correction information of the first instrument, where the first correction information includes a first correction result of the first instrument;
a first judging unit 13, wherein the first judging unit 13 is used for judging whether the first correction result meets a first preset correction standard, and when the first correction result meets the first preset correction standard, obtaining a first use time of the first instrument;
a third obtaining unit 14, the third obtaining unit 14 being configured to obtain a first disinfection parameter of the first instrument after a first usage time;
a fourth obtaining unit 151, configured to obtain, by a first imaging device, first usage patient information of the first instrument at the first usage time;
a first input unit 16, wherein the first input unit 16 is configured to input the first disinfection parameter and the first usage patient information into a first training model, and the first training model is obtained by training multiple sets of training data, and each of the multiple sets of training data includes: the first disinfection parameter, first usage patient information, and identification information identifying a level of risk of infection of the first instrument;
a fifth obtaining unit 17, configured to obtain a first output result of the first training model, where the first output result includes a second disinfection parameter with a first instrument infection risk level of one level;
a first application unit 18, the first application unit 18 for using the second sterilization parameter for sterilization of the first instrument after use by a first use patient.
Further, the apparatus further comprises:
a sixth obtaining unit configured to obtain a correction parameter for performing the first correction when the first correction result does not satisfy a first predetermined correction criterion;
a second judging unit, configured to judge whether the correction parameter satisfies a correction requirement;
a seventh obtaining unit, configured to obtain a first overhaul instruction when the correction parameter meets a correction requirement;
the first maintenance unit is used for maintaining the first instrument according to a first maintenance instruction.
Further, the apparatus further comprises:
an eighth obtaining unit configured to obtain first borrowing information of the second hemodialysis chamber;
a ninth obtaining unit for obtaining equipment requirement information of the first hemodialysis chamber through the hemodialysis chamber equipment management platform;
a second input unit, configured to input the first borrowing information and equipment requirement information of the first hemodialysis chamber into a convolutional neural network model, where the convolutional neural network model is obtained through training of a large amount of training data, and each set of the training data includes: the first borrowing information, the equipment requirement information of the first hemodialysis chamber and equipment identification information which identifies different time periods and can coordinate the second hemodialysis chamber;
a tenth obtaining unit, configured to obtain a second output result of the convolutional neural network model, where the second output result includes device identification information that can be coordinated to a second hemodialysis room;
a first coordination unit configured to perform device coordination on the second hemodialysis chamber according to the second output result, and mark the coordinated device.
Further, the apparatus further comprises:
an eleventh obtaining unit for generating a first borrowing instruction by the hemodialysis machine management platform;
a twelfth obtaining unit, configured to approve the first borrowing instruction for a borrowing permission;
and the thirteenth obtaining unit is used for performing instrument borrowing on the second hemodialysis chamber according to the approved first borrowing instruction after the approval of the borrowing authority passes.
Further, the apparatus further comprises:
a fourteenth obtaining unit, configured to obtain basic information of a second instrument, where the second instrument is a single-use instrument;
a third determination unit configured to determine whether the second instrument has been used;
a fifteenth obtaining unit configured to obtain a first processing manner from the basic information of the second instrument when the second instrument has been used;
a first processing unit for processing the second instrument according to the first processing mode.
Further, the apparatus further comprises:
a sixteenth obtaining unit, configured to obtain first position information of the first instrument;
the fourth judging unit is used for judging whether the placing position of the first instrument meets the requirement or not according to the first camera device;
a seventeenth obtaining unit, configured to obtain a first warning instruction when the placement position of the first instrument does not meet a requirement;
the first early warning unit is used for verifying the actual movement of the idle article according to the first feedback information.
Further, the apparatus further comprises:
an eighteenth obtaining unit, configured to generate a first identification code according to the first usage patient information, where the first identification code corresponds to the first usage patient information one to one;
a nineteenth obtaining unit, configured to generate a second identification code according to the second usage patient information and the first identification code, where the second identification code corresponds to the second usage patient information one to one, and so on, and generate an nth identification code according to the nth usage patient information and an nth-1 identification code, where the nth identification code corresponds to the nth usage patient information one to one, where N is a natural number greater than 1;
a first saving unit, configured to copy and save the usage patient information and the identification code on M electronic devices, respectively, where M is a natural number greater than 1.
While various modifications and embodiments of a hemodialysis machine management method in the first embodiment of fig. 1 are also applicable to a hemodialysis machine management device in this embodiment, the implementation of a hemodialysis machine management device in this embodiment will be apparent to those skilled in the art from the foregoing detailed description of a hemodialysis machine management method, and therefore, for the sake of brevity of description, will not be described in detail herein.
Exemplary electronic device
The electronic device of the embodiment of the present application is described below with reference to fig. 3.
Fig. 3 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.
Based on the inventive concept of a hemodialysis machine management method as in the previous embodiment, the present invention further provides a hemodialysis machine management device, on which a computer program is stored, which when executed by a processor implements the steps of any one of the above-described hemodialysis machine management methods.
Where in fig. 3 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 306 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other systems over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
The embodiment of the invention provides a hemodialysis room instrument management method, which is applied to a hemodialysis room instrument management platform, wherein the hemodialysis room instrument management platform is connected with a first camera device, and the method comprises the following steps: obtaining base information for a first instrument of a first hemodialysis chamber; obtaining first correction information of the first instrument, wherein the first correction information comprises a first correction result of the first instrument; judging whether the first correction result meets a first preset correction standard or not, and if so, obtaining first service time of the first instrument; obtaining a first sterilization parameter of the first instrument after a first use time; obtaining first use patient information of the first instrument at the first use time through a first camera device; inputting the first disinfection parameters and first usage patient information into a first training model, the first training model being obtained by training multiple sets of training data, each of the multiple sets of training data including: the first disinfection parameter, first usage patient information, and identification information identifying a level of risk of infection of the first instrument; obtaining a first output result of the first training model, the first output result comprising a second disinfection parameter with a first instrument infection risk level of one grade; using the second sterilization parameter for sterilization of the first instrument after use by a first use patient. The technical problem that in the prior art, medical staff manage equipment and potential safety hazards are caused due to inaccurate and unreasonable management of instruments is solved, and the technical effects of managing the instruments more accurately and reasonably and reducing the potential safety hazards are achieved.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction system which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (8)
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107810536A (en) * | 2015-06-25 | 2018-03-16 | 甘布罗伦迪亚股份公司 | Medical device system and method with distributed database |
| CN105142692B (en) * | 2013-03-14 | 2018-10-09 | 贝克斯特国际公司 | System and method for peritoneal dialysis exchange with reusable energy supply unit |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US20030083901A1 (en) * | 2001-06-22 | 2003-05-01 | Bosch Juan P. | Process for providing dialysis and other treatments |
| CN101763580A (en) * | 2009-09-17 | 2010-06-30 | 宁波北电源兴电力工程有限公司 | Equipment state overhaul management module for EAM system of power plant |
| JP6138421B2 (en) * | 2012-04-16 | 2017-05-31 | アイティーアイ株式会社 | Dialysis treatment device monitoring system and dialysis treatment device monitoring method |
| CN103623474A (en) * | 2013-11-12 | 2014-03-12 | 禾研科技股份有限公司 | A hemodialysis management system |
| CH712649A1 (en) * | 2016-07-05 | 2018-01-15 | Hemo Plus Sàrl | Treatment center for hemodialysis care. |
| CN108877910A (en) * | 2018-04-28 | 2018-11-23 | 青岛普瑞森医药科技有限公司 | Haemodialysis Information Management System, method, computer equipment and storage medium |
| CN111667357A (en) * | 2020-06-05 | 2020-09-15 | 中国银行股份有限公司 | Bank product pushing method and device |
| CN112084409A (en) * | 2020-09-09 | 2020-12-15 | 中南大学 | Hemodialysis resource management and service system and method based on multi-objective optimization |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105142692B (en) * | 2013-03-14 | 2018-10-09 | 贝克斯特国际公司 | System and method for peritoneal dialysis exchange with reusable energy supply unit |
| CN107810536A (en) * | 2015-06-25 | 2018-03-16 | 甘布罗伦迪亚股份公司 | Medical device system and method with distributed database |
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