CN108922581B - Intelligent management and control information system for medical examination sample Internet of things - Google Patents
Intelligent management and control information system for medical examination sample Internet of things Download PDFInfo
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- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
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Abstract
The invention provides an intelligent management and control information system for a medical examination sample internet of things, which comprises: the automatic labeling module is used for labeling the sample container called according to the sample information to be collected by the patient and automatically packaging the sample container according to the patient information; the sample calibration module is used for identifying an electronic tag of the sample container to acquire patient information, matching the patient information with a sample list of sample information to be acquired, guiding an operator whether to acquire a sample according to a matching result, and generating sample in-vitro time; the sample batch identification module is used for identifying the electronic tags of the sample containers with the samples collected in batches and storing the tag information LIS; the system is also used for identifying characteristic information of an operator handing over the specimen and obtaining personnel information; the sorting module is used for sorting the samples according to different types of the detection of the information for identifying the samples; and the intelligent management module is used for generating a data table according to the sample record and the sample stored in the patient information in a correlation manner, and analyzing the data table to generate a corresponding sample detection suggestion.
Description
Technical Field
The invention relates to the technical field of medical information, in particular to an intelligent management and control information system for a medical examination sample internet of things.
Background
Currently, conventional blood collection management systems are still widely used in most hospitals. In blood sampling management system, take the heparin tube that patient's blood sample used, can relate to the selection of heparin tube type, paste bar code label in the use, processes such as blood sampling process, blood sampling sample are typeeed, handing-over, are transported, are collected and letter sorting. At present, no matter the selection of heparin tube type or paste the bar code label that has patient information at this heparin tube, all rely on manual operation to accomplish or have corresponding independent equipment to accomplish, but can not realize the automatic linking of action, follow-up transport, the letter sorting of heparin tube after having gathered blood also mostly are the operation, whole in-process not only work load is big, cause the error easily moreover, can consume a large amount of manpowers and time, and paste the mark uniformity not good. Labeling inconsistency often causes that the following inspection equipment cannot be well identified, and the overall working progress is influenced. In addition, the traditional blood sampling management system is lack of unified management on personal information and blood sampling item information of patients, and the problem of inconvenience in input and query often exists.
At present, most of domestic large and medium medical institutions establish a LIS (Laboratory information System) which includes a function of managing clinical specimens. However, the LIS system adopts manual bar code scanning to perform information entry and reception confirmation of clinical test specimens. Because the entry efficiency of manual bar code scanning is low (1.5 s/sample on average), a large number of samples can greatly consume the energy of medical staff, and the probability of errors caused by manual entry can also rise along with the increase of the number of samples. Meanwhile, because the manual scanning efficiency is low and contradicts with the limitation of the sample conveying time required in the actual medical work, the deficiency of part of the information checking process in the existing sample collecting, transferring and receiving links is caused, so that the real-time information of the samples during the collecting, transferring and receiving processes to the clinical laboratory is dead zones, the samples are missed and mistakenly found in the time period, the great medical hidden danger is caused, and the medical responsibility is difficult to be divided. The information input checking efficiency is low and the error rate is high in the processes of collecting, transferring and receiving clinical examination specimens, and the problem of common pain points of large medical institutions is solved.
Disclosure of Invention
In view of the above disadvantages of the prior art, an object of the present invention is to provide an intelligent management and control information system for a medical examination sample internet of things, which is used for solving the problem that the automation degree of a specimen collection management system in the prior art is not high, so that the efficiency and the safety are not high.
In order to achieve the above and other related objects, the present invention provides an internet of things intelligent management and control information system for medical examination samples, comprising:
the automatic labeling module is used for acquiring the information of the specimens to be collected by the patient in a hospital information system database, calling specimen containers of corresponding types and numbers according to the information of the specimens to be collected by the patient, labeling the specimen containers and then automatically packaging the labeled specimen containers according to the information of the patient;
the sample calibration module is used for identifying the electronic tag of the sample container, acquiring patient information, matching the patient information with a sample list of the sample information to be collected, guiding an operator whether to use the sample container to collect a sample according to a matching result, generating a sample record and storing the sample record in a database;
the specimen batch identification module is used for identifying the electronic tags of specimen containers filled with specimens in batches and storing the specimens corresponding to the electronic tags in a hospital database according to patient information; the system is also used for identifying the characteristic information of an operator who hands over the specimen, learning the information of the operator, and storing the specimen and the information of the operator in a database in a correlated manner;
the sorting module is used for receiving the samples, utilizing the label divider to identify the electronic information of the samples, sorting the samples according to different detection types of the samples, and storing the sorting information in a database according to the association of patient information;
and the intelligent management module is used for generating a data table according to the sample records and the samples stored in the patient information in a correlation manner, and analyzing the number of the collected samples, the collection time and the collection process in the statistical data table to generate a corresponding sample detection suggestion.
Preferably, the automatic labeling module comprises:
the collection unit is used for acquiring specimen information pre-collected by a patient in the database;
the labeling manipulator can move up and down, left and right and is used for taking corresponding sample containers from accommodating bins for accommodating sample containers of different types according to the content of the sample information and moving the sample containers to a printing area of the labeling and printing mechanism;
the labeling and printing mechanism is used for writing the ID in the specimen information into the RFID label, printing label information on the surface of the RFID label and matching with the labeling mechanical arm to attach the RFID label to the surface of the specimen container;
the output channel is communicated with the labeling and printing mechanism, and is provided with a read-write unit for reading the ID information of the sample container attached with the RFID label;
a conveyor belt having a drive mechanism, the conveyor belt having a plurality of trays for holding specimen containers disposed in sequence thereon;
and the control unit is used for verifying whether the RFID label of the sample container is accurate according to the written-in and read-out ID information, and is also used for controlling the driving mechanism to adjust the transmission direction of the conveyor belt so as to load the sample containers with the same patient ID information into the same tray.
Preferably, the specimen calibration module comprises:
a wearing ring with first identification information;
a specimen container with second identification information attached thereto;
the storage unit is used for storing the sample information of the patient to be collected, the first identification information is associated with the sample information of the patient to be collected, and the sample information to be collected comprises the sample collection number and the type of the sample container;
the terminal is used for acquiring first identification information of a patient to be collected and second identification information of the specimen container; and whether second identification information used for detecting the specimen container is matched with the specimen information to be collected or not is also used, when the identification information in the specimen container is matched with the specimen information to be collected, the specimen container is utilized for collection, the second identification information is associated with the patient, and when the specimen collection is completed, the specimen in-vitro time is automatically generated and is packed together with the specimen information to be sent to a database for storage.
Preferably, before the step of detecting whether the second identification information of the specimen container matches the specimen information to be collected, the terminal further includes:
acquiring a sample list recorded with sample information to be acquired of each patient, matching the sample list with the sample information to be acquired of the patient acquired by the first identification information, and when the sample list contains the acquired sample information to be acquired of the patient, successfully performing sample acquisition by matching; and when the sample list does not contain the acquired information of the sample to be acquired of the patient, prompting that the matching fails.
Preferably, the specimen batch identification module includes a specimen batch identification submodule, which specifically is:
at least one carrier unit for holding specimen containers;
a support for placing the carrier unit; the bottom of the bracket is provided with a pressure sensor corresponding to each carrier unit;
each carrier unit is provided with an RFID label, and the information of the specimen corresponding to the carrier unit is input into the RFID label;
the RFID reader is characterized in that a radio frequency signal receiving end of the RFID reader is connected with the RFID label through a radio frequency signal;
the image acquisition unit is used for reading the image information of the carrier units on the bracket and identifying the number of the carrier units;
and the processing unit is used for converting the signal of the pressure sensor into the data of the carrier units, comparing the number of the identified carrier units, the number of the carrier units identified by the RFID reader with the number of the carrier units identified by the image acquisition unit, and outputting a comparison result.
Preferably, the specimen batch identification module includes a person-associated identification submodule, which specifically is:
the sample collection unit comprises a plurality of sample containers for collecting and storing different samples;
the database unit is used for storing data;
an identification unit for identifying each specimen container;
the shielding unit is used for constructing a shielding space and shielding signals outside the shielding space;
the identification unit comprises a reader-writer and an electronic tag arranged on the specimen container, the reader-writer is in data communication with the electronic tag on the specimen container in the shielding space, batch identification and counting are completed, and an identification result is sent to the database unit.
Preferably, the people association identification submodule comprises:
and the tracing unit is used for recording the identity information of the operator.
Preferably, the shielding unit includes a housing, the identification unit further includes one or more antennas connected to the reader/writer, the antennas are disposed inside the housing, and the housing is provided with a switch cover plate.
Preferably, when the specimen batch identification submodule in the specimen batch identification module is applied to a specimen collected in a clinical laboratory, the specimen information in the label information attached to the collected specimen is re-identified.
Preferably, the sorting module:
the receiving bin is used for receiving the samples from the conveying belt;
and the sorting instrument is used for sorting the samples according to different detection types by using the electronic tags for identifying the samples by using the label sorting instrument, and storing the sorting information in the database according to the association of the patient information.
Preferably, the intelligent management module comprises:
the database is used for associating the stored specimen record with the specimen generation data table according to the patient information;
and the management unit is used for analyzing the number of the collected samples, the collection time and the collection process in the statistical data table to generate corresponding sample detection suggestions.
As described above, the intelligent management and control information system for the internet of things for the medical examination samples has the following beneficial effects:
the automatic labeling module calls the corresponding types and the number of the specimen containers according to the information of the specimens to be collected of the patients stored in the database, labels the specimen containers and packs the specimen containers according to the information of the patients, so that manual labeling is avoided, the labeling efficiency is improved, and the automatic labeling module is convenient for subsequent operators to use; acquiring a sample list of sample information to be acquired of a patient by using a sample calibration module, matching the sample information to be acquired of the sample container with the sample list, acquiring a patient sample according to a matching result, and improving the accuracy of sample acquisition through checking before and after; the electronic tags of various specimen containers are recognized in batches by the specimen batch recognition module to obtain specimen information of the specimens, the personnel information for handing over the specimens is recognized, and the specimen information and the personnel information are stored in an associated manner, so that the recognition efficiency is improved and a traceable function is provided; the sorting module is adopted to automatically sort the samples according to different sample types, so that the sorting efficiency is improved, and the samples can be conveniently distributed to corresponding inspection departments for inspection; meanwhile, the sample acquisition information is synchronously stored in the whole process, monitoring and query are facilitated, and the patient sample database is analyzed and counted to generate an optimization suggestion about guiding the hospital detection effect. This application uses automatic collection not only to increase substantially sample collection efficiency relative to other systems, uses the machine to judge and avoids artificial judgement, has improved the degree of accuracy of sample collection, saves in the backstage through label information synchronization, the intelligent control of being convenient for, inquiry and management.
Drawings
Fig. 1 shows a structural block diagram of an intelligent management and control information system of the internet of things for a medical examination sample provided by the invention;
FIG. 2 is a block diagram of the automatic labeling module of FIG. 1 according to the present invention;
FIG. 3 is a block diagram of the specimen calibration module of FIG. 1 according to the present invention;
FIG. 4 is a block diagram illustrating the structure of a specimen batch identifier sub-module of the specimen batch identifier module shown in FIG. 1 according to the present invention;
FIG. 5 is a block diagram illustrating a person association identifier sub-module of the batch size identifier module shown in FIG. 1 according to the present invention;
FIG. 6 is a block diagram of the sorting module of FIG. 1 according to the present invention;
FIG. 7 is a block diagram of the intelligent management module of FIG. 1 according to the present invention;
fig. 8 shows an interaction flow chart of the intelligent management and control information system of the internet of things for the medical examination sample provided by the invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
Referring to fig. 1, a structural block diagram of an intelligent management and control information system of an internet of things for medical examination samples provided by the invention includes:
the automatic labeling module is used for acquiring the information of the specimens to be collected by the patient in a hospital information system database, calling specimen containers of corresponding types and numbers according to the information of the specimens to be collected by the patient, labeling the specimen containers and then automatically packaging the labeled specimen containers according to the information of the patient;
the sample calibration module is used for identifying the electronic tag of the sample container, acquiring patient information, matching the patient information with a sample list of the sample information to be collected, guiding an operator whether to use the sample container to collect a sample according to a matching result, and generating and storing sample in-vitro time and records in a database;
in this embodiment, the database includes a hospital information system (LIS, etc.) and a server database, that is, the in-vitro time of the specimen obtained by the electronic tag identification and the specimen record are synchronously uploaded to the LIS system and the server database.
The specimen batch identification module is used for identifying the electronic tags of specimen containers filled with specimens in batches and storing the specimens corresponding to the electronic tags in a hospital database according to patient information; the system is also used for identifying the characteristic information of an operator who hands over the specimen, learning the information of the operator, and storing the specimen and the information of the operator in a database in a correlated manner;
specifically, if each department of the hospital, such as a department of a household, is too far away from the clinical laboratory, the specimens can be identified and handed over before and after transportation, and the specimens are prevented from being lost or lost midway, so that the purposes of monitoring and tracing are realized.
The sorting module is used for receiving the samples, utilizing the label divider to identify the electronic information of the samples, sorting the samples according to different detection types of the samples, and storing the sorting information in a database according to the association of patient information;
and the intelligent management module is used for generating a data table according to the sample records and the samples stored in the patient information in a correlation manner, and analyzing the number of the collected samples, the collection time and the collection process in the statistical data table to generate a corresponding sample detection suggestion.
In the embodiment, the radio frequency identification technology is used for realizing rapid batch identification accurate to a single sample and rapidly reading sample information, so that the workload of medical personnel is reduced, and the efficiency and the accuracy of information input and checking are improved; meanwhile, through data interconnection, each checking link of sample collection and transfer can be displayed and pushed, a sample real-time information blind zone is eliminated, early warning and prompting are carried out on the problems, the error rate before clinical sample inspection is reduced, and the quality of public medical services is improved; the rapid transfer and receiving of the clinical test samples can reduce the sample measuring period, improve the test working efficiency and improve the accuracy, the accuracy and the comparability of test results; the system is established to realize intelligent circulation management before clinical specimen inspection, establish a demonstration benchmark for intelligent medical treatment, promote industrial service upgrade and bring corresponding economic benefits.
Referring to fig. 2, a block diagram of the automatic labeling module of fig. 1 according to the present invention includes:
the collection unit is used for acquiring specimen information pre-collected by a patient in the database;
the labeling manipulator can move up and down, left and right and is used for taking corresponding sample containers from accommodating bins for accommodating sample containers of different types according to the content of the sample information and moving the sample containers to a printing area of the labeling and printing mechanism;
and the labeling and printing mechanism is used for writing the patient ID in the specimen information into the RFID label, printing label information on the surface of the RFID label and matching with the labeling mechanical arm to attach the RFID label to the surface of the specimen container.
In this embodiment, the collecting unit is connected to the database (the database may be a laboratory information System) through a network, and calls the pre-collected sample information from the database, wherein the patient may be controlled by a terminal (a first control unit) with a display screen to trigger the patient to collect the pre-collected sample information of the patient, or the scanning port is used to acquire corresponding patient information to trigger the patient to collect the pre-collected sample information of the patient.
Wherein, the sample container adopts the slide rail formula classification to be stored in hold the storehouse, this sample container can be for test tube or heparin tube etc. is convenient for paste mark mechanical handle and takes corresponding sample container.
The labeling and printing mechanism comprises a first reading and writing unit and a printing unit, wherein the first reading and writing unit is used for writing the ID in the specimen information into the RFID label, and the printing unit is used for printing the label information on the surface of the RFID label and matching with the labeling manipulator to attach the RFID label to the surface of the specimen container;
the first reading and writing unit comprises an antenna and a reader, and specimen information ID is written in the RFID label to be printed through the cooperation of the antenna and the reader and is used for distinguishing marks; the preferred laser printing of printing unit prints label information (for example, the certain kind of sample project of gathering in advance) on the RFID label surface, when the sample container of taking, because subsides mark manipulator can reciprocate, remove about, simultaneously, it is equipped with the sensor on the mark manipulator and detects whether its claw takes the sample container, ensures safety, puts into the sample container and pastes mark printing region, is convenient for place the different positions of taking according to the different length of sample container, ensures that sample container pastes the mark position adjustable.
The output channel is communicated with the labeling and printing mechanism, and is provided with a read-write unit for reading the ID information of the sample container attached with the RFID label;
a conveyor belt having a drive mechanism, the conveyor belt having a plurality of trays for holding specimen containers disposed in sequence thereon;
the first control unit is used for verifying whether the RFID labels of the sample containers are accurate or not according to the written and read ID information, and is also used for controlling the driving mechanism to adjust the transmission direction of the conveyor belt and loading the sample containers with the same ID information into the same tray.
In the embodiment, the output channel is communicated with the labeling and printing mechanism, and the output channel is provided with a second reading and writing unit for reading the ID information of the sample container with the RFID label;
the second reading and writing units comprise antennas and readers, whether the ID information in the RFID tags of the sample containers is the same as the ID information written in the sample containers is checked by reading the ID information in the RFID tags of the sample containers, the purpose of checking is achieved on one hand, and on the other hand, the subsequent first control unit can conveniently load the sample containers with different ID information into different trays according to the ID information.
A conveyor belt having a drive mechanism, the conveyor belt having a plurality of trays for holding specimen containers disposed in sequence thereon;
wherein each tray loads a specimen container of the same patient according to the RFID label attached to the specimen container; when the number of the specimen containers of one tray cannot be loaded with the same patient, the next tray is called to continue loading. Because the number of the specimen containers contained in each tray is fixed, when one tray can not be filled with specimen containers with the same ID information, the next tray is only required to be called to continue loading, and each tray is ensured to be only filled with specimen containers of one patient.
On the basis of the above embodiment, the method further comprises the following steps:
and a position sensor is arranged below the output channel and on the side surface of the conveyor belt and used for detecting a position signal of the tray, and the first control unit controls the conveyor belt to drive forwards according to the position signal of the tray so that the tray to be loaded with the specimen container is aligned to the output channel.
And the first control unit is respectively connected with the first reading and writing unit and the second reading and writing unit and is used for verifying whether the RFID labels of the sample containers are accurate or not according to the written and read ID information, and the first control unit is also used for controlling the driving mechanism to adjust the transmission direction of the conveyor belt and loading the sample containers with the same ID information into the same tray.
In the embodiment, the first control unit controls the rotation of the transmission belt by controlling the phase change of the driving mechanism, and the transmission belt always transmits in the same direction. For example, each tray can only load a preset number of sample containers, and when the number of the sample containers with the same ID is verified to be more than the preset number, the conveyor belt is controlled to move to call the next tray to continuously load the sample containers; conversely, when the second reading unit reads that the ID information is different from the ID information corrected previously, the next tray is called to load the sample container, ensuring that each tray only loads the sample container of the same ID information. First the control unit is the terminal of taking the display screen for label packing's state is pasted to the label according to the RFID label display specimen container, thereby be convenient for patient and operating personnel to know.
Specifically, each tray is preset at the position of the conveyor belt, the middle of the tray is aligned under the output port of the output channel, namely the length of the tray is longer than that of the output channel, a first position sensor and a second position sensor are arranged on one side of the conveyor belt along the conveying direction of the conveyor belt according to the length of the tray, the installation distance of the first position sensor and the second position sensor on the conveyor belt is longer than the length of one tray and is located between the gaps of two adjacent trays, when the first position sensor detects the tray signal, a first trigger signal is sent, when the second position sensor does not detect the tray signal and the first position sensor also does not detect the tray signal, namely when the position sensor passes through the gap detection, the tray is determined to be aligned with the output port of the output channel. When the control conveyor belt rotates to move to the next tray aligning output channel, the second position sensor detects the position signal from the absence to the presence and then returns to the absence, and the control conveyor belt is aligned with the output port of the output channel.
One side of the tray is movably connected to the conveyor belt, so that the tray can be turned over laterally along the conveying direction; a pushing mechanism for pushing the side face of the tray to turn is arranged on one side of the conveying belt, and a packing mechanism for loading a specimen container is correspondingly arranged on the other side of the conveying belt.
Specifically, one side of the tray is movably fixed on one side of the conveying belt through a support, when the other side of the tray is pushed by a pushing mechanism, the tray can be turned, a packing mechanism is arranged on the other side opposite to the pushing mechanism, the turned specimen container is packed, and the pushing mechanism is arranged at a position adjacent to the output channel by at least one tray length, so that the tray can be conveniently and normally turned; when the conveyor belt rotates once and aims at the sample container loaded with the RFID label at the outlet of the output channel, the pushing mechanism pushes once to enable the sample container in the tray to turn over and fall into the packaging mechanism, and the packaging mechanism is not repeated in detail in the prior art.
ID information in the patient sample information is written into an RFID label, label information related to the sample information is printed on the surface of the RFID, and the ID information of a sample container is verified by using an RFID reading and writing unit, so that the phenomenon of wrong labeling is avoided; the specimen containers with the same ID information are loaded into the same tray, so that the specimen containers can be conveniently packed according to the ID information; the label sticking and packaging process of the specimen container can be tracked in real time according to the RFID label, and the packaging efficiency is improved. Therefore, the invention effectively overcomes various defects in the prior art and has high industrial utilization value.
Referring to fig. 3, a block diagram of the specimen calibration module in fig. 1 according to the present invention includes:
a wearing ring with first identification information;
a specimen container with second identification information attached thereto;
the storage unit is used for storing the sample information of the patient to be collected, the first identification information is associated with the sample information of the patient to be collected, and the sample information to be collected comprises the sample collection number and the type of the sample container;
in this embodiment, the storage unit is the server database in fig. 1, which is not described herein again.
The terminal is used for acquiring first identification information of a patient to be collected and second identification information of the specimen container; and whether second identification information used for detecting the specimen container is matched with the specimen information to be collected or not is also used, when the identification information in the specimen container is matched with the specimen information to be collected, the specimen container is utilized for collection, the second identification information is associated with the patient, and when the specimen collection is completed, the specimen in-vitro time is automatically generated and is packed together with the specimen information to be sent to a database for storage (LIS and server database).
Before the step of detecting whether the second identification information of the specimen container is matched with the specimen information to be collected, the terminal further includes:
acquiring a sample list recorded with sample information to be acquired of each patient, matching the sample list with the sample information to be acquired of the patient acquired by the first identification information, and when the sample list contains the acquired sample information to be acquired of the patient, successfully performing sample acquisition by matching; and when the sample list does not contain the acquired information of the sample to be acquired of the patient, prompting that the matching fails.
The terminal reads the label information of the RFID electronic label of the specimen container by utilizing the radio frequency identification function; when the identification information in the specimen container is matched with the information of the specimen to be collected, the specimen container is used for collecting; wherein each specimen container is affixed with an RFID electronic tag, the tag information of which is associated with the patient.
The terminal re-identifies the identification information of the specimen container when detecting that the specimen information is finished, and returns the acquisition time point to the storage unit for storage if the acquired specimen information is matched with the medical advice information when judging whether the acquired specimen information is matched with the medical advice information; and if the collected specimen information is not matched with the order information, an alarm signal is sent out.
The terminal is used for detecting a patient with collected specimen information and a patient without the collected specimen information in real time, the collection progress flow chart is generated according to the patient with the collected specimen information and the patient without the collected specimen information, the check and the verification are carried out in a two-way mode through the collected object and the used specimen container, the phenomenon that the specimen collection object is wrong and the specimen collection project is wrong is avoided, only the patient meeting the conditions can be collected with the specimen information, and the specimen collection accuracy is improved.
Referring to fig. 4, a block diagram of a specimen batch identification submodule in the specimen batch identification module shown in fig. 1 according to the present invention is applied to a specimen entry LIS system, and includes:
at least one carrier unit for holding specimen containers;
a support for placing the carrier unit; the bottom of the bracket is provided with a pressure sensor corresponding to each carrier unit;
each carrier unit is provided with an RFID label, and the information of the specimen corresponding to the carrier unit is input into the RFID label;
the RFID reader is characterized in that a radio frequency signal receiving end of the RFID reader is connected with the RFID label through a radio frequency signal;
the image acquisition unit is used for reading the image information of the carrier units on the bracket and identifying the number of the carrier units;
and the processing unit is used for converting the signal of the pressure sensor into the data of the carrier units, comparing the number of the identified carrier units, the number of the carrier units identified by the RFID reader with the number of the carrier units identified by the image acquisition unit, and outputting a comparison result.
As a modification of this embodiment, the identification device further includes a communication unit through which the RFID reader is connected to an external terminal. The communication unit may be a wireless communication unit or a wired communication unit. The information recognized by the RFID reader may be transmitted to an external terminal, which may be a remote computer, through the communication unit.
When the specimen container is preferably a test tube, the position of each RFID tag may be inconsistent due to the different angle of each test tube during the placement of the test tube. During the reading process of the RFID reader, misreading or missing reading is generated due to the difference of the angles. Therefore, in order to improve the identification accuracy, the identification instrument is further provided with a rotatable test tube tray on which the holder is placed. When the pressure sensor, the RFID reader and the image acquisition unit respectively identify the number of the RFID tags, namely the number of test tubes, at the moment, whether the number of the test tubes identified by the three is equal is judged, if equal, the identification is completed, if unequal, the support rotates, then the second time reading is carried out, the number of the RFID tags is respectively identified by the pressure sensor, the RFID reader and the image acquisition unit, if equal, the identification is completed, if unequal, the support rotates, and then the third time identification is carried out until the number of the RFID tags is respectively identified by the pressure sensor, the RFID reader and the image acquisition unit is equal.
In order to improve the identification precision, four RFID reader antennas can be arranged at the rear, the lower part, the left side and the right side of the test tube rack respectively, radio frequency signals sent by the RFID tags can be received in four directions, the collected radio frequency signals are compared and combined, and the situations of missing reading and misreading are avoided. Can carry out information acquisition to a large amount of test tubes in batches simultaneously, save time uses manpower and materials sparingly.
As an improvement to this embodiment, the identification instrument further includes a touch display screen for displaying the number of the identified test tubes, i.e., the number of the specimens; and corresponding specimen information.
Please refer to fig. 5, which is a block diagram of a personnel association identifier module of the specimen lot identifier module shown in fig. 1, applied to a specimen transportation and handover procedure, including:
the sample collection unit comprises a plurality of sample containers for collecting and storing different samples;
the database unit is used for storing data;
an identification unit for identifying each specimen container;
the shielding unit is used for constructing a shielding space and shielding signals outside the shielding space;
the identification unit comprises a reader-writer and an electronic tag arranged on the specimen container, the reader-writer is in data communication with the electronic tag on the specimen container in the shielding space, batch identification and counting are completed, and an identification result is sent to the database unit.
Specifically, the specimen collecting unit may be deployed in each ward of the hospital and a specimen collecting table of the clinical laboratory, and may process the final result data of the specimen and send the processed result data to the LIS in a TCP/IP or other communication manner after collection. This embodiment is discerned and is counted sample collection unit through the RFID technique, in order to improve the accuracy of inspection, avoids the mistake inspection, realizes the shielding to external signal through establishing a shielding space to ensure the rate of accuracy of discernment.
In this embodiment, the shielding unit includes a housing, the identification unit further includes one or more antennas connected to the reader/writer, the antennas are disposed inside the housing, the housing is provided with a switch cover plate, after the switch cover plate is opened, the control program device stops reading the tags and counting, puts in the samples, and closes the collection cover plate, the control program controls the RF switch to read the tags and identify the number of the samples, preferably, the housing is provided with a detection module for detecting the switch state of the switch cover plate, the output end of the detection module is connected to the input end of the second control unit, when the switch cover plate is closed, the second control unit controls the identification unit to operate to identify the sample collection unit in the shielding space once, the housing in this embodiment is provided with a fixing device for fixing the sample collection unit, and after the identification unit identifies once, the second control unit controls the fixing device to rotate and controls the recognition unit to recognize for the second time. The fixing device can adopt a bracket capable of rotating and can also adopt other structures, and the purpose is to change the relative position and angle between the reader-writer antenna and the electronic tag, and avoid mutual influence between received signals due to conditions such as over-dense conditions, so that the detection result is inaccurate. After the secondary identification, the second control unit calculates final data and judges the number, and if the final data is equal to 0, the control program controls each module to enter a standby state. If the number is larger than 0, the result data can be sent to the collection service through a TCP/IP protocol or other communication modes, and the number of samples, the communication result, the state prompt, the reading time length and the like can be displayed through the display unit. The data content includes a tag ID, a specimen collection time, a specimen number, an apparatus serial number, an apparatus address, and the like.
The casing that shielding unit in this embodiment was made for adopting shielding material, the casing is provided with the switch apron, can place sample collection unit in the casing inside and take out through the switch apron, can set up mechanisms such as swivel mount or carousel inside the casing, make sample collection unit accomplish rotatoryly, through the shielding space, make the read write line can only communicate with the electronic tags in the shielding space, and through secondary discernment, can make the success rate greatly increased who verifies.
As shown in fig. 8, in the present embodiment, when a sample is handed over, the input unit may input a handover command, temporarily cache the collected sample ID and the number of samples in the local operating system, and then the system prompts the handover staff, clicking a 'face recognition' button or a 'fingerprint recognition' button on touch screen software, if the 'face recognition' button is clicked, starting a face recognition function by a control program, prompting a nurse to align to a camera and starting face recognition by a display screen, shooting face data by a camera and then sending the face data to an acquisition service program through a TCP/IP communication protocol, finishing comparison between the acquisition service program and a face library of a database, storing a comparison result in the database and returning the result to a second control unit, prompting a face recognition result by a display unit, prompting a handed-over person such as prompting a 'worker to align to the camera', completing worker face recognition by the same process, storing the worker face recognition result in the database and prompting the recognition result on the display screen. And finally, the temporarily cached specimen ID, specimen number, nurse ID, hand-over time and hand-over place are arranged into an XML data protocol, and the XML data protocol is sent to an acquisition service program through TCP/IP or directly stored in a machine room database. Aiming at fingerprint identification, if a code is directly scanned, the fingerprint identification module finishes fingerprint information acquisition and comparison according to fingerprints in a fingerprint database, a control program obtains a comparison result from the fingerprint identification module, and the name, position and ID of a fingerprint person are displayed on a display unit; if the person to be handed over is collected firstly, such as finger print information of a nurse, the display screen prompts 'please nurse to press the finger print', after the nurse presses the finger print, the control program obtains a comparison result from the finger print instrument, and the name, the position and the ID of the finger print nurse are displayed on the display screen of the specimen collector. And finally, the control program arranges the temporarily cached specimen ID, specimen quantity, nurse ID, hand-over time and hand-over place into an XML data protocol, and sends the XML data protocol to the acquisition service program through TCP/IP or directly stores the XML data protocol to a database unit.
In this embodiment, the shielding space is constructed by the shielding unit, and the time for two times of identification can be set according to actual needs, for example, the identification time for one time of identification can be set to be 3 seconds, then the specimen collection unit is controlled to rotate for 2 seconds, and then the second time of identification is started. The detection module can adopt any sensor or other functional modules which can realize the detection of the switch state of the switch cover plate, such as a pressure sensor, an infrared sensor and the like. The casing that shielding unit in this embodiment was made for adopting shielding material, the casing is provided with the switch apron, can place sample collection unit in the casing inside and take out through the switch apron, can set up mechanisms such as swivel mount or carousel inside the casing, make sample collection unit accomplish rotatoryly, through the shielding space, make the read write line can only communicate with the electronic tags in the shielding space, and through secondary discernment, can make the success rate greatly increased who verifies.
On the basis of the above embodiment, the specimen batch identification module includes:
and the tracing unit is used for recording the identity information of the operator, wherein the tracing unit comprises one or a combination of a plurality of human face identification modules, fingerprint identification modules and human eye identification modules.
In this embodiment, the whole process of the transportation and handing-over link of the specimen is visualized, and the whole process is traced back and pursues the duty, thereby preventing the specimen from losing or falling off the bag and reducing the dispute between doctors and patients. The inspection quality is improved, the receiving error rate is reduced, and the automation degree is improved. Thereby improving the automation level of the hospital, ensuring that the medical specimen identification work is more accurate and efficient, and reducing doctor-patient disputes. The working strength of a blood sampling doctor is reduced, the working error rate of the doctor is reduced, and medical staff can better serve patients.
On the basis of the embodiment, when the specimens are identified and input into the database in batches from the department of living in hospital, the characteristic information of the specific operating personnel is identified by handing over the specimen to the specific operating personnel, the handed-over personnel information and the specimen information are stored in an associated manner, so that the specimen is convenient to trace back and manage, and meanwhile, when the specimen batch identification submodule in the specimen batch identification module is applied to the clinical laboratory to collect the specimens, the specimen information in the label information attached to the collected specimens is identified again. Namely, the samples are transferred to the clinical laboratory through transportation, and the clinical laboratory reuses the sample batch identification submodule in the batch identification module to perform batch identification and input on the samples so as to achieve the purpose of collection.
Referring to fig. 6, a block diagram of the automatic sorting module shown in fig. 1 according to the present invention includes:
the receiving bin is used for receiving the samples from the conveying belt;
wherein, the sample passes through the transmission band transmission, need not manual transmission, and the sample container of customization as required, containing the sample changes over into the sorting appearance through the transmission band, prevents that the sample container containing the sample from losing.
And the sorting instrument is used for sorting the samples according to different detection types by using the electronic tags for identifying the samples by using the label sorting instrument, and storing the sorting information in the database according to the association of the patient information.
In this embodiment, only need to pour into the sample container that contains the sample and insert in the storehouse, the electronic tags of RFID automatic identification sample container in the sample container passes through the sorting appearance, carry out automatic sorting to large batch sample, need not artificial intervention, improve work efficiency before the inspection greatly promptly, stop artificial mistake, improve the inspection room quality management level, wherein, this sorting appearance is automatic sorting appearance, export the sample container respectively according to a plurality of output positions in a bin, save alone according to the letter sorting standard, make things convenient for follow-up each inspection sculpture to inspect, thereby improve the efficiency of software testing.
Referring to fig. 7, a block diagram of the intelligent management module in fig. 1 according to the present invention includes:
the database is used for associating the stored specimen record with the specimen generation data table according to the patient information;
and the management unit is used for analyzing the number of the collected samples, the collection time and the collection process in the statistical data table to generate corresponding sample detection suggestions.
Specifically, the statistical data table analyzes the sample collection effect in a certain time period with respect to the number of collected samples, the collection time, and the specific collection process, such as: how many samples of collection, specifically contain which type sample, who is responsible for collection detection, handing-over and whether appear medical negligence such as sample loss, sample collection mistake, give the clinical laboratory of hospital about the optimization guiding suggestion of inspection affairs, help the hospital to comb to reach the purpose that improves hospital service quality.
In this embodiment, through with the sample information according to the patient name of waiting to gather, operating personnel, the sample collection project, the sample acquisition time, information generation form such as sample collection figure and sample collection progress, save in the database, utilize modern information technology and artificial intelligence, improve the blood sampling informatization, intelligent level, it is that collection sample work is in the accurate, safety, high efficiency, the operation in comfortable environment, this system can carry out seamless butt joint with hospital information system (HIS, LIS, EMR, physical examination system), make things convenient for background storage unit, managers, operating personnel and patient visit, inquire its corresponding record that obtains, realize the whole visual tracking and the control of inspection sample. Through generating the form, the multi-dimensional statistical analysis can be carried out on data such as the workload of a doctor who takes blood, the number of patients, the number of corresponding sample containers, the blood taking progress, the blood taking time, the matching degree of the samples and the patients, the sample input information, the patient inspection analysis information, the sample operation transfer basis, the sample delivery rate, the consumable consumption and the like, various statistical reports and charts are automatically generated, and the hospital management efficiency is improved.
In conclusion, the automatic labeling module calls the corresponding types and the number of the specimen containers according to the specimen information to be collected of the patient stored in the database, labels the specimen containers and packs the specimen containers according to the patient information, so that manual labeling is avoided, the labeling efficiency is improved, and the automatic labeling module is convenient for subsequent operators to use; acquiring a sample list of sample information to be acquired of a patient by using a sample calibration module, matching the sample information to be acquired of the sample container with the sample list, acquiring a patient sample according to a matching result, and improving the accuracy of sample acquisition through checking before and after; the electronic tags of various specimen containers are recognized in batches by the specimen batch recognition module to obtain specimen information of the specimens, the personnel information for handing over the specimens is recognized, and the specimen information and the personnel information are stored in an associated manner, so that the recognition efficiency is improved and a traceable function is provided; the sorting module is adopted to automatically sort the samples according to different sample types, so that the sorting efficiency is improved, and the samples can be conveniently distributed to corresponding inspection departments for inspection; meanwhile, the sample acquisition information is synchronously stored in the whole process, monitoring and query are facilitated, and the patient sample database is analyzed and counted to generate an optimization suggestion about guiding the hospital detection effect. This application uses automatic collection not only to increase substantially sample collection efficiency relative to other systems, uses the machine to judge and avoids artificial judgement, has improved the degree of accuracy of sample collection, saves in the backstage through label information synchronization, the intelligent control of being convenient for, inquiry and management. Therefore, the invention effectively overcomes various defects in the prior art and has high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (9)
1. The utility model provides a medical treatment inspection sample thing networking intelligence management and control information system which characterized in that includes:
the automatic labeling module is used for acquiring the information of the specimens to be collected by the patient in a hospital information system database, calling specimen containers of corresponding types and numbers according to the information of the specimens to be collected by the patient, labeling the specimen containers and then automatically packaging the labeled specimen containers according to the information of the patient;
the sample calibration module is used for identifying the electronic tag of the sample container, acquiring patient information, matching the patient information with a sample list of the sample information to be collected, guiding an operator whether to use the sample container to collect a sample according to a matching result, and generating and storing sample in-vitro time and records in a database;
the specimen batch identification module is used for identifying the electronic tags of specimen containers filled with specimens in batches and storing the specimens corresponding to the electronic tags in a hospital database according to patient information; the system is also used for identifying the characteristic information of an operator who hands over the specimen, learning the information of the operator, and storing the specimen and the information of the operator in a database in a correlated manner; wherein, sample identification module in batches contains sample identification submodule in batches, and it is applied to the sample and types the LIS system, specifically is:
at least one carrier unit for holding specimen containers;
a support for placing the carrier unit; the bottom of the bracket is provided with a pressure sensor corresponding to each carrier unit;
each carrier unit is provided with an RFID label, and the information of the specimen corresponding to the carrier unit is input into the RFID label;
the RFID reader is characterized in that a radio frequency signal receiving end of the RFID reader is connected with the RFID label through a radio frequency signal;
the image acquisition unit is used for reading the image information of the carrier units on the bracket and identifying the number of the carrier units;
and the processing unit is used for converting the signal of the pressure sensor into the data of the carrier units, comparing the number of the identified carrier units, the number of the carrier units identified by the RFID reader with the number of the carrier units identified by the image acquisition unit, and outputting a comparison result. (ii) a
The sorting module is used for receiving the samples, sorting the samples according to different detection types by utilizing the information of identifying the samples by the label divider, and storing the sorted information in the database according to the association of the patient information;
and the intelligent management module is used for generating a data table according to the sample records and the samples stored in the patient information in a correlation manner, and analyzing the number of the collected samples, the collection time and the collection process in the statistical data table to generate a corresponding sample detection suggestion.
2. The intelligent management and control information system of the internet of things for the medical examination samples according to claim 1, wherein the automatic labeling module comprises:
the collection unit is used for acquiring specimen information pre-collected by a patient in the database;
the labeling manipulator can move up and down, left and right and is used for taking corresponding sample containers from accommodating bins for accommodating sample containers of different types according to the content of the sample information and moving the sample containers to a printing area of the labeling and printing mechanism;
the labeling and printing mechanism is used for writing the ID in the specimen information into the RFID label, printing label information on the surface of the RFID label and matching with the labeling mechanical arm to attach the RFID label to the surface of the specimen container;
the output channel is communicated with the labeling and printing mechanism, and is provided with a read-write unit for reading the ID information of the sample container attached with the RFID label;
a conveyor belt having a drive mechanism, the conveyor belt having a plurality of trays for holding specimen containers disposed in sequence thereon;
and the control unit is used for verifying whether the RFID label of the sample container is accurate according to the written-in and read-out ID information, and is also used for controlling the driving mechanism to adjust the transmission direction of the conveyor belt so as to load the sample containers with the same patient ID information into the same tray.
3. The medical examination sample internet of things intelligent management and control information system of claim 1, wherein the specimen calibration module comprises:
a wearing ring with first identification information;
a specimen container with second identification information attached thereto;
the storage unit is used for storing the sample information of the patient to be collected, the first identification information is associated with the sample information of the patient to be collected, and the sample information to be collected comprises the sample collection number and the type of the sample container;
the terminal is used for acquiring first identification information of a patient to be collected and second identification information of the specimen container; and whether second identification information used for detecting the specimen container is matched with the specimen information to be collected or not is also used, when the identification information in the specimen container is matched with the specimen information to be collected, the specimen container is utilized for collection, the second identification information is associated with the patient, and when the specimen collection is completed, the specimen in-vitro time is automatically generated and is packed together with the specimen information to be sent to a database for storage.
4. The intelligent management and control information system for the internet of things for medical examination samples according to claim 3, wherein the terminal further comprises, before the step of detecting whether the second identification information of the specimen container matches the specimen information to be collected:
acquiring a sample list recorded with sample information to be acquired of each patient, matching the sample list with the sample information to be acquired of the patient acquired by the first identification information, and when the sample list contains the acquired sample information to be acquired of the patient, successfully performing sample acquisition by matching; and when the sample list does not contain the acquired information of the sample to be acquired of the patient, prompting that the matching fails.
5. The medical examination sample internet of things intelligent management and control information system according to claim 1, wherein the specimen batch identification module comprises a personnel association identification submodule, which is applied to a specimen transfer and handover link, and specifically comprises:
the sample collection unit comprises a plurality of sample containers for collecting and storing different samples;
the database unit is used for storing data;
an identification unit for identifying each specimen container;
the shielding unit is used for constructing a shielding space and shielding signals outside the shielding space;
the identification unit comprises a reader-writer and an electronic tag arranged on the specimen container, the reader-writer is in data communication with the electronic tag on the specimen container in the shielding space, batch identification and counting of the specimens are completed, and identification results are sent to the database unit.
6. The intelligent management and control information system for the internet of things of medical examination samples according to claim 5, wherein the personnel association identification submodule comprises:
and the tracing unit is used for recording the identity information of the operator.
7. The intelligent management and control information system for the internet of things for medical examination samples according to claim 1, wherein when the batch specimen identification submodule in the batch specimen identification module is applied to a specimen collected by a clinical laboratory, the batch specimen identification submodule re-identifies the label information in the label information attached to the collected specimen.
8. The medical examination sample internet of things intelligent management and control information system of claim 1, wherein the sorting module:
the receiving bin is used for receiving the samples from the conveying belt;
and the sorting instrument is used for sorting the samples according to different detection types by using the electronic tags for identifying the samples by using the label sorting instrument, and storing the sorting information in the database according to the association of the patient information.
9. The medical examination sample internet of things intelligent management and control information system according to claim 1, wherein the intelligent management module comprises:
the database is used for associating the stored specimen record with the specimen generation data table according to the patient information;
and the management unit is used for analyzing the number of the collected samples, the collection time and the collection process in the statistical data table to generate corresponding sample detection suggestions.
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Families Citing this family (10)
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---|---|---|---|---|
JP2020139875A (en) * | 2019-02-28 | 2020-09-03 | シスメックス株式会社 | Specimen analyzer and specimen analysis method |
CN110265129B (en) * | 2019-07-12 | 2024-07-12 | 重庆微标科技股份有限公司 | Mobile intelligent blood sampling management terminal equipment |
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CN113506619B (en) * | 2021-09-09 | 2021-12-21 | 深圳理邦智慧健康发展有限公司 | Time acquisition method, terminal device, sampling system and readable storage medium |
CN115410699B (en) * | 2022-09-01 | 2023-05-23 | 南方医科大学南方医院 | Blood sampling specimen management method and system |
CN117236839A (en) * | 2022-09-21 | 2023-12-15 | 昭衍(北京)检测技术有限公司 | Sample management method and system |
CN115391431B (en) * | 2022-10-28 | 2023-01-24 | 山东蓝客信息科技有限公司 | Specimen information acquisition and verification system |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103477363A (en) * | 2011-04-12 | 2013-12-25 | 应用科学公司 | Systems and methods for managing blood donations |
CN103544365A (en) * | 2012-07-09 | 2014-01-29 | 南京杰诺瀚软件科技有限公司 | Intelligent test tube and automatic classifying, checking and typing-in system |
CN103619252A (en) * | 2011-05-18 | 2014-03-05 | 科技医疗株式会社 | Automatic preparation system for blood collection tube |
CN104820816A (en) * | 2015-05-12 | 2015-08-05 | 深圳市锦瑞电子有限公司 | Device and method for automatically scanning test tube bar code |
CN106934212A (en) * | 2017-02-09 | 2017-07-07 | 上海创司杰医疗科技有限公司 | Full-automatic blood sampling management system and management method |
CN106955851A (en) * | 2017-04-24 | 2017-07-18 | 珠海倍健电子科技有限公司 | A kind of connecting gear of test tube sorting equipment |
CN108614981A (en) * | 2018-07-09 | 2018-10-02 | 江苏木盟智能科技有限公司 | A kind of sample scan method and system |
-
2018
- 2018-05-31 CN CN201810549537.1A patent/CN108922581B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103477363A (en) * | 2011-04-12 | 2013-12-25 | 应用科学公司 | Systems and methods for managing blood donations |
CN103619252A (en) * | 2011-05-18 | 2014-03-05 | 科技医疗株式会社 | Automatic preparation system for blood collection tube |
CN103544365A (en) * | 2012-07-09 | 2014-01-29 | 南京杰诺瀚软件科技有限公司 | Intelligent test tube and automatic classifying, checking and typing-in system |
CN104820816A (en) * | 2015-05-12 | 2015-08-05 | 深圳市锦瑞电子有限公司 | Device and method for automatically scanning test tube bar code |
CN106934212A (en) * | 2017-02-09 | 2017-07-07 | 上海创司杰医疗科技有限公司 | Full-automatic blood sampling management system and management method |
CN106955851A (en) * | 2017-04-24 | 2017-07-18 | 珠海倍健电子科技有限公司 | A kind of connecting gear of test tube sorting equipment |
CN108614981A (en) * | 2018-07-09 | 2018-10-02 | 江苏木盟智能科技有限公司 | A kind of sample scan method and system |
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