CN113555093A - Tracking method, system, medium, and electronic device for biological sample detection information - Google Patents
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- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
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Abstract
The invention discloses a tracking method, a system, a medium and electronic equipment for biological sample detection information, wherein the tracking method comprises the following steps: receiving identification information input by a user; detecting whether the identification information is consistent with preset reference information or not; if the identity of the user is consistent with the identity of the user, confirming that the user passes the identity authentication; associating sample detection information with the identification information of the user who passes identity authentication, wherein the sample detection information comprises at least one of inventory information of a detection reagent, sample extraction process information, logistics transfer information, sample preparation process information, mass spectrometry detection information and a sample analysis result; storing the sample detection information; receiving a query instruction input by the user; and feeding back the current sample detection information to the user in real time according to the query instruction. The invention can realize effective tracking of each detection link of the sample and improve the user experience.
Description
Technical Field
The invention relates to the technical field of Internet of things, in particular to a method, a system, a medium and electronic equipment for tracking biological sample detection information.
Background
Under the scenes of scientific research service and medical detection, in the research process, scientific researchers need to detect biological samples by using reagents, and often need to send the samples for inspection so as to complete the detection process of the whole sample under the cooperation of other detection personnel.
In the prior art, after a scientific research staff sends out a sample, the current logistics state of the sample cannot be known in time, and the current logistics state and the operation executed by other detection staff cannot be known in time, so that the final result can be obtained only after the sample finishes all detection processes. For example: if a proteome sample needs to be detected for 4 projects, the 4 projects are respectively responsible for different detection personnel, and the final result is inconsistent with the expectation of the scientific research personnel who send for detection, but the situation that a problem occurs in which detection personnel link cannot be determined, so that the scientific research personnel need to send the sample for detection again, thereby not only wasting scientific research resources, but also wasting precious scientific research time.
Disclosure of Invention
The invention aims to solve the technical problem that scientific research personnel cannot track the whole circulation detection process of a sample to be detected in real time in the prior art, and provides a method, a system, a medium and electronic equipment for tracking biological sample detection information.
The invention solves the technical problems through the following technical scheme:
a tracking method of biological sample detection information, the tracking method comprising:
receiving identification information input by a user;
detecting whether the identification information is consistent with preset reference information or not;
if the identity of the user is consistent with the identity of the user, confirming that the user passes the identity authentication;
associating sample detection information with the identification information of the user who passes identity authentication, wherein the sample detection information comprises at least one of inventory information of a detection reagent, sample extraction process information, logistics transfer information, sample preparation process information, mass spectrometry detection information and a sample analysis result;
storing the sample detection information;
receiving a query instruction input by the user;
and feeding back the current sample detection information to the user in real time according to the query instruction.
Preferably, after the confirming that the user passes the authentication, the method further comprises: generating a key according to the identification information;
the step of associating sample detection information with the identification information of the user who has passed the authentication further includes: encrypting the sample detection information by using the key;
the step of feeding back the current sample detection information to the user in real time according to the query instruction comprises the following steps: reading the encrypted current sample detection information in real time according to the query instruction; decrypting the encrypted current sample detection information by using the key; and displaying the decrypted sample detection information to the user.
Preferably, the step of storing the sample detection information comprises:
and uploading the sample detection information to a block chain or a database for storage.
Preferably, if the sample detection information includes the sample analysis result, the step of feeding back the current sample detection information to the user in real time according to the query instruction includes:
and feeding back a current direct analysis result and an indirect analysis result of the sample to the user in real time according to the query instruction, wherein the direct analysis result comprises component content information in the sample, and the indirect result comprises a result generated after data processing is carried out on the direct analysis result by utilizing a preset mathematical model.
Preferably, the biological sample comprises a proteomic data sample.
A tracking system for biological sample detection information, the tracking system comprising:
the data receiving module is used for receiving the identification information input by the user;
the detection module is used for detecting whether the identification information is consistent with preset reference information or not;
the confirmation module is used for confirming that the user passes identity authentication when the identification information is consistent with preset reference information;
the system comprises a correlation processing module, a data processing module and a data processing module, wherein the correlation processing module is used for correlating sample detection information by using identification information of the user who passes identity authentication, and the sample detection information comprises at least one of inventory information of a detection reagent, sample extraction process information, logistics transfer information, sample preparation process information, mass spectrum detection information and a sample analysis result;
the storage module is used for storing the sample detection information;
the data receiving module is also used for receiving the query instruction input by the user;
and the feedback module is used for feeding back the current sample detection information to the user in real time according to the query instruction.
Preferably, the tracking system further comprises a key generation module and an encryption module:
the key generation module is used for generating a key according to the identification information;
the encryption module is used for encrypting the sample detection information by using the secret key;
the feedback module is used for reading the encrypted current sample detection information in real time according to the query instruction; decrypting the encrypted current sample detection information by using the key; and displaying the decrypted sample detection information to the user.
Preferably, the storage module is configured to upload the sample detection information to a block chain or a database for storage.
Preferably, if the sample detection information includes the sample analysis result, the feedback module is configured to feed back a current direct analysis result and an indirect analysis result of the sample to the user in real time according to the query instruction, where the direct analysis result includes component content information in the sample, and the indirect result includes a result generated after data processing is performed on the direct analysis result by using a preset mathematical model.
Preferably, the biological sample comprises a proteomic data sample.
An electronic device comprises a memory, a processor and a computer program stored on the memory and operable on the processor, wherein the processor implements the steps of the tracking method of the biological sample detection information when executing the computer program.
A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the aforementioned steps of the tracking method of biological sample detection information.
The positive progress effects of the invention are as follows: the biological sample detection information tracking method and system provided by the embodiment take embedded applets, APPs (application programs) or webpages as carriers, are communicated with various data input devices, are in butt joint with the central server, and timely collect and summarize operation information and related personnel information of each sample detection link, so that effective tracking of each link is realized, and user experience is improved.
Furthermore, the data security is effectively improved by encrypting the information data of each link of the sample detection. In addition, besides visually displaying the analysis result to the user, a digital annotation can be added, so that the user can quickly know which detection item has a problem, and the medical experience of the user is further improved.
Drawings
Fig. 1 is a flowchart of a method for tracking biological sample detection information according to example 1 of the present invention.
Fig. 2 is a flowchart of a method for tracking biological sample detection information according to example 2 of the present invention.
Fig. 3 is a block diagram showing the structure of a biological sample detection information tracking system according to embodiment 3 of the present invention.
Fig. 4 is a block diagram showing the structure of a biological sample detection information tracking system according to embodiment 4 of the present invention.
Fig. 5 is a block diagram of an electronic device according to embodiment 5 of the present invention.
Detailed Description
The invention is further illustrated by the following examples, which are not intended to limit the scope of the invention.
Example 1
The embodiment provides a method for tracking biological sample detection information, wherein the transmission of the biological sample detection information is realized based on the internet of things (IOT for short), which is to collect any object or process needing monitoring, connection and interaction in real time through various devices such as various information sensors, radio frequency identification technology and laser scanner, so that the ubiquitous connection of objects and people is realized, and the intelligent sensing, identification and management of the objects and the process are realized.
In this embodiment, the biological sample may comprise a proteomic data sample.
As shown in fig. 1, the tracking method includes the following steps:
step S11: receiving identification information input by a user;
in particular, the user may comprise a researcher in a medical institution. The identification information can be input through a PC (personal computer) terminal and a client of a mobile terminal (a mobile phone, a tablet computer and the like), and is finally uploaded to a central server. The client may comprise a carrier such as an embedded applet, APP (application) or web page. Data transmission between the client and the server can be accomplished through a wireless network (e.g., a 5G network) or NFC (near field communication) technology.
The identification information can be names, identity card information or the work numbers of scientific research personnel and the like.
Step S12: detecting whether the identification information is consistent with preset reference information or not;
if yes, go to step S13: confirming that the user passes authentication;
if the two are not consistent, prompt information can be generated and displayed to the user, and the prompt information can be 'please re-input' or 'no access'.
Specifically, the information of the scientific research personnel in the medical institution is usually registered or backed up in the server, so that the identity information of the scientific research personnel is confirmed to pass the safety verification as long as the identification information input by the scientific research personnel is consistent with the reference information in the system.
Step S14: associating sample detection information with the identification information of the user who passes identity authentication, wherein the sample detection information comprises at least one of inventory information of a detection reagent, sample extraction process information, logistics transfer information, sample preparation process information, mass spectrometry detection information and a sample analysis result;
for example, if the job number (i.e., identification information) of the user is 227, the number of the sent samples in different detection stages may be 227-1, 227-2, 227-3 … ….
In the process of sample transfer, when each sample testing personnel performs sample testing, intermediate transfer information such as sample codes, names (or name identifications) of the sample testing personnel, testing operations executed by the sample testing personnel, sample testing results and the like can be uploaded to a block chain or a database through the internet of things, so that all information can be safely tracked.
Specifically, the inspector can enter information through the code scanning gun.
Step S15: storing the sample detection information;
the sample detection information can be stored in a plurality of nodes in the block chain, and when one node is attacked, other nodes can still safely store the sample detection information.
Step S16: receiving a query instruction input by the user;
step S17: and feeding back the current sample detection information to the user in real time according to the query instruction.
Preferably, before receiving the query instruction input by the user, the first user further needs to input own identification information to log in, the client sends the identification information input by the user to the server, the server verifies the identification information of the user, after the verification is passed, the user is considered to be a safe user registered in the system, and then the query instruction of the user can be received, wherein the query instruction comprises a result of querying a certain detection item, a logistics link where a sample is queried, a name of a person querying the certain detection item, and other various information.
The tracking method for biological sample detection information provided by the embodiment uses embedded applets, APP (application program) or webpages as carriers, communicates with various data input devices, is in butt joint with a central server, and timely collects and summarizes operation information and related personnel information of each link of sample detection, so that effective tracking of each link is realized, and user experience is improved.
Example 2
The present embodiment provides a tracking method of biological sample detection information, which is a further improvement on the basis of embodiment 1.
Specifically, the step S13 may further include:
step S20: generating a key according to the identification information;
the step S14 is followed by:
step S21: encrypting the sample detection information by using the key;
preferably, the encryption mode can adopt asymmetric encryption, and the encrypted sample detection information can be uploaded to a block chain or a database.
Based on this, the step S17 may specifically include:
step S171: reading the encrypted current sample detection information in real time according to the query instruction;
step S172: decrypting the encrypted current sample detection information by using the key;
step S173: and displaying the decrypted sample detection information to the user.
In this embodiment, if the sample detection information includes the sample analysis result, the step of feeding back the current sample detection information to the user in real time according to the query instruction may include the following steps: and feeding back a current direct analysis result and an indirect analysis result of the sample to the user in real time according to the query instruction, wherein the direct analysis result comprises component content information in the sample, and the indirect result comprises a result generated after data processing is carried out on the direct analysis result by utilizing a preset mathematical model.
In one specific application scenario, the digital annotations may be annotations from a public database crawled on a central server, such as: BMI (body Mass index) value of body height and body weight, blood pressure value, etc. according to age.
In another specific application scenario, the digital annotation is derived from a pre-constructed data model, which is mainly a data model constructed based on data such as lifetime data (e.g., proteomics, genomics), for example, proteomics data of a hypertensive patient is collected and then compared with proteomics data of a normal person to obtain a model, and then the data of the user to be tested is predicted by the model to obtain a disease risk, and a corresponding treatment recommendation and an optional treatment scheme can be given.
In this embodiment, if the sample detection information includes the inventory information of the detection reagent, in this scenario, the user may perform authentication through the client, after the authentication passes, the user may request the server for the reagent inventory state through the client, and the server may feed back the counted reagent inventory information to the client of the user according to the authority of the user.
In addition, the user may autonomously enter reagent change conditions (e.g., adding a reagent, using a reagent, destroying a reagent, etc.) at the client, and upload the user's identification information and reagent change conditions to the database or the blockchain.
The tracking method for biological sample detection information provided by the embodiment effectively improves the data security by encrypting the information data of each link of sample detection. In addition, besides visually displaying the analysis result to the user, a digital annotation can be added, so that the user can quickly know which detection item has a problem, and the medical experience of the user is further improved.
Example 3
The present embodiment provides a tracking system for biological sample detection information, as shown in fig. 3, the tracking system 1 may include:
a data receiving module 11, configured to receive identification information input by a user;
in particular, the user may comprise a researcher in a medical institution. The identification information can be input through a PC (personal computer) terminal and a client of a mobile terminal (a mobile phone, a tablet computer and the like), and is finally uploaded to a central server. The client may comprise a carrier such as an embedded applet, APP (application) or web page. Data transmission between the client and the server can be accomplished through a wireless network (e.g., a 5G network) or NFC (near field communication) technology.
The identification information can be names, identity card information or the work numbers of scientific research personnel and the like.
The detection module 12 is configured to detect whether the identification information is consistent with preset reference information;
the confirming module 13 is configured to confirm that the user passes the identity authentication when the identification information is consistent with preset reference information; specifically, the information of the scientific research personnel in the medical institution is usually registered or backed up in the server, so that the identity information of the scientific research personnel is confirmed to pass the safety verification as long as the identification information input by the scientific research personnel is consistent with the reference information in the system.
The confirmation module 13 is further configured to, when the identification information is inconsistent with preset reference information, enable the user to fail the authentication, and generate a prompt message at the same time, where the prompt message may be "please re-input" or "no access right".
The correlation processing module 14 is configured to correlate sample detection information with the identification information of the user who has passed the identity authentication, where the sample detection information includes at least one of inventory information of a detection reagent, sample extraction process information, logistics transfer information, sample preparation process information, mass spectrometry detection information, and a sample analysis result;
for example, if the job number (i.e., identification information) of the user is 227, the number of the sent samples in different detection stages may be 227-1, 227-2, 227-3 … ….
In the process of sample transfer, when each sample testing personnel performs sample testing, intermediate transfer information such as sample codes, names (or name identifications) of the sample testing personnel, testing operations executed by the sample testing personnel, sample testing results and the like can be uploaded to a block chain or a database through the internet of things, so that all information can be safely tracked. Specifically, the inspector can enter information through the code scanning gun.
A storage module 15, configured to store the sample detection information;
the sample detection information can be stored in a plurality of nodes in the block chain, and when one node is attacked, other nodes can still safely store the sample detection information.
The data receiving module 11 is further configured to receive a query instruction input by a user;
preferably, before receiving the query instruction input by the user, the first user further needs to input own identification information to log in, the client sends the identification information input by the user to the server, the server verifies the identification information of the user, after the verification is passed, the user is considered to be a safe user registered in the system, and then the query instruction of the user can be received, wherein the query instruction comprises a result of querying a certain detection item, a logistics link where a sample is queried, a name of a person querying the certain detection item, and other various information.
And the feedback module 16 is configured to feed back current sample detection information to the user in real time according to the query instruction.
The tracking system of biological sample detection information that this embodiment provided is when operation, with embedded applet, APP (application) or webpage as the carrier, the multiple data input equipment of UNICOM docks with central server again, in time gathers and gathers the operation information and the relevant personnel information of each link of sample detection, has realized the effective pursuit of each link, has improved user experience.
Example 4
The present embodiment provides a tracking system for biological sample detection information, which is a further improvement on the basis of embodiment 3.
As shown in fig. 4, the tracking system 1 further includes a key generation module 17 and an encryption module 18;
the key generation module 17 is configured to generate a key according to the identification information;
the encryption module 18 is configured to encrypt the sample detection information with the key;
preferably, the encryption mode can adopt asymmetric encryption, and the encrypted sample detection information can be uploaded to a block chain or a database.
The feedback module 16 is configured to read the encrypted current sample detection information in real time according to the query instruction; decrypting the encrypted current sample detection information by using the key; and displaying the decrypted sample detection information to the user.
In this embodiment, if the sample detection information includes the sample analysis result; the feedback module 16 is configured to feed back a current direct analysis result and an indirect analysis result of the sample to the user in real time according to the query instruction, where the direct analysis result includes component content information in the sample, and the indirect result includes a result generated after a preset mathematical model is used to perform data processing on the direct analysis result.
In one specific application scenario, the digital annotations may be annotations from a public database crawled on a central server, such as: BMI (body Mass index) value of body height and body weight, blood pressure value, etc. according to age.
In another specific application scenario, the digital annotation is derived from a pre-constructed data model, which is mainly a data model constructed based on data such as lifetime data (e.g., proteomics, genomics), for example, proteomics data of a hypertensive patient is collected and then compared with proteomics data of a normal person to obtain a model, and then the data of the user to be tested is predicted by the model to obtain a disease risk, and a corresponding treatment recommendation and an optional treatment scheme can be given.
In this embodiment, if the sample detection information includes the inventory information of the detection reagent, in this scenario, the user may perform authentication through the client, after the authentication passes, the user may request the server for the reagent inventory state through the client, and the server may feed back the counted reagent inventory information to the client of the user according to the authority of the user.
In addition, the user may autonomously enter reagent change conditions (e.g., adding a reagent, using a reagent, destroying a reagent, etc.) at the client, and upload the user's identification information and reagent change conditions to the database or the blockchain.
When the tracking system of the biological sample detection information provided by the embodiment operates, the data security is effectively improved by encrypting the information data of each link of the sample detection. In addition, besides visually displaying the analysis result to the user, a digital annotation can be added, so that the user can quickly know which detection item has a problem, and the medical experience of the user is further improved.
Example 5
The present invention also provides an electronic device, as shown in fig. 5, which may include a memory, a processor and a computer program stored in the memory and running on the processor, wherein the processor executes the computer program to implement the steps of the tracking method for biological sample detection information in the foregoing embodiment 1 or 2.
It should be understood that the electronic device shown in fig. 5 is only an example, and should not bring any limitation to the function and the scope of the application of the embodiment of the present invention.
As shown in fig. 5, the electronic device 2 may be embodied in the form of a general purpose computing device, such as: which may be a server device. The components of the electronic device 2 may include, but are not limited to: the at least one processor 3, the at least one memory 4, and a bus 5 connecting the various system components (including the memory 4 and the processor 3).
The bus 5 may include a data bus, an address bus, and a control bus.
The memory 4 may include volatile memory, such as Random Access Memory (RAM)41 and/or cache memory 42, and may further include Read Only Memory (ROM) 43.
The memory 4 may also include a program tool 45 (or utility tool) having a set (at least one) of program modules 44, such program modules 44 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The processor 3 executes various functional applications and data processing, such as the steps of the tracking method of biological sample detection information in the foregoing embodiment 1 or 2 of the present invention, by executing the computer program stored in the memory 4.
The electronic device 2 may also communicate with one or more external devices 6, such as a keyboard, pointing device, etc. Such communication may be via an input/output (I/O) interface 7. Also, the model-generated electronic device 2 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network) via the network adapter 8.
As shown in FIG. 5, the network adapter 8 may communicate with other modules of the model-generated electronic device 2 via a bus 5. It will be appreciated by those skilled in the art that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the model-generated electronic device 2, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems, etc.
It should be noted that although several units/modules or sub-units/modules of the electronic device are mentioned in the above detailed description, such division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the units/modules described above may be embodied in one unit/module according to embodiments of the invention. Conversely, the features and functions of one unit/module described above may be further divided into embodiments by a plurality of units/modules.
Example 6
The present embodiment provides a computer-readable storage medium on which a computer program is stored, the program, when executed by a processor, implementing the steps of the tracking method of biological sample detection information in the foregoing embodiment 1 or 2.
More specific ways in which the computer-readable storage medium may be employed may include, but are not limited to: a portable disk, a hard disk, random access memory, read only memory, erasable programmable read only memory, optical storage device, magnetic storage device, or any suitable combination of the foregoing.
In a possible implementation manner, the present invention can also be implemented in the form of a program product, which includes program code for causing a terminal device to execute the steps of implementing the tracking method for biological sample detection information in the foregoing embodiment 1 or 2 when the program product runs on the terminal device.
Where program code for carrying out the invention is written in any combination of one or more programming languages, the program code may execute entirely on the user device, partly on the user device, as a stand-alone software package, partly on the user device and partly on a remote device or entirely on the remote device.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that this is by way of example only, and that the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the spirit and scope of the invention, and these changes and modifications are within the scope of the invention.
Claims (12)
1. A tracking method of biological sample detection information, the tracking method comprising:
receiving identification information input by a user;
detecting whether the identification information is consistent with preset reference information or not;
if the identity of the user is consistent with the identity of the user, confirming that the user passes the identity authentication;
associating sample detection information with the identification information of the user who passes identity authentication, wherein the sample detection information comprises at least one of inventory information of a detection reagent, sample extraction process information, logistics transfer information, sample preparation process information, mass spectrometry detection information and a sample analysis result;
storing the sample detection information;
receiving a query instruction input by the user;
and feeding back the current sample detection information to the user in real time according to the query instruction.
2. The method for tracking biological sample test information according to claim 1, wherein the confirming that the user passes the authentication further comprises: generating a key according to the identification information;
the step of associating sample detection information with the identification information of the user who has passed the authentication further includes: encrypting the sample detection information by using the key;
the step of feeding back the current sample detection information to the user in real time according to the query instruction comprises the following steps: reading the encrypted current sample detection information in real time according to the query instruction; decrypting the encrypted current sample detection information by using the key; and displaying the decrypted sample detection information to the user.
3. The method for tracking the detection information of a biological sample according to claim 1,
the step of storing the sample detection information comprises;
and uploading the sample detection information to a block chain or a database for storage.
4. The method for tracking the testing information of the biological sample according to claim 1, wherein if the testing information of the biological sample includes the result of the analysis of the sample, the step of feeding back the current testing information of the sample to the user in real time according to the query command comprises:
and feeding back a current direct analysis result and an indirect analysis result of the sample to the user in real time according to the query instruction, wherein the direct analysis result comprises component content information in the sample, and the indirect result comprises a result generated after data processing is carried out on the direct analysis result by utilizing a preset mathematical model.
5. The method for tracking the detection information of a biological sample according to any one of claims 1 to 4, wherein the biological sample comprises a proteome data sample.
6. A tracking system for biological sample detection information, the tracking system comprising:
the data receiving module is used for receiving the identification information input by the user;
the detection module is used for detecting whether the identification information is consistent with preset reference information or not;
the confirmation module is used for confirming that the user passes identity authentication when the identification information is consistent with preset reference information;
the system comprises a correlation processing module, a data processing module and a data processing module, wherein the correlation processing module is used for correlating sample detection information by using identification information of the user who passes identity authentication, and the sample detection information comprises at least one of inventory information of a detection reagent, sample extraction process information, logistics transfer information, sample preparation process information, mass spectrum detection information and a sample analysis result;
the storage module is used for storing the sample detection information;
the data receiving module is also used for receiving the query instruction input by the user;
and the feedback module is used for feeding back the current sample detection information to the user in real time according to the query instruction.
7. The system for tracking biological sample test information as recited in claim 6,
the tracking system also comprises a key generation module and an encryption module;
the key generation module is used for generating a key according to the identification information;
the encryption module is used for encrypting the sample detection information by using the secret key;
the feedback module is used for reading the encrypted current sample detection information in real time according to the query instruction; decrypting the encrypted current sample detection information by using the key; and displaying the decrypted sample detection information to the user.
8. The system for tracking biological sample test information as recited in claim 6,
the storage module is used for uploading the sample detection information to a block chain or a database for storage.
9. The system for tracking the detection information of a biological sample according to claim 6, wherein if the detection information of the sample includes the analysis result of the sample, the feedback module is configured to feed back a current direct analysis result and an indirect analysis result of the sample to the user in real time according to the query instruction, the direct analysis result includes the component content information in the sample, and the indirect analysis result includes a result generated by performing data processing on the direct analysis result using a preset mathematical model.
10. The system for tracking the detection information of a biological sample according to any one of claims 6 to 9, wherein the biological sample comprises a proteome data sample.
11. An electronic 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 for tracking biological sample test information according to any one of claims 1 to 5 when executing the computer program.
12. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of tracking biological sample detection information according to any one of claims 1 to 5.
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| CN114911987A (en) * | 2022-05-24 | 2022-08-16 | 无锡市第五人民医院 | Autonomous analysis method and system for detection reagent strip |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114911987A (en) * | 2022-05-24 | 2022-08-16 | 无锡市第五人民医院 | Autonomous analysis method and system for detection reagent strip |
| CN114911987B (en) * | 2022-05-24 | 2023-05-26 | 无锡市第五人民医院 | Autonomous analysis method and system for detection reagent strip |
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