A medical institution drug store drug maintenance method based on 'three three four' segmentation logic

Abstract

The application discloses a medical institution drug store medicine maintenance method based on 'three-three-four' segmented logic, belongs to the field of medicine management and maintenance in medical institutions, and comprises setting a total maintenance period T and dividing into three linking stages according to the proportion of 0.3T, 0.3T and 0.4T, calculating the in-store days of the inventory medicines, performing logical comparison screening and descending arrangement, constructing a to-be-maintained batch set, extracting the batches of the first 30%, the middle 30% and the remaining 40% in each stage to generate electronic maintenance tasks, and linking PDA terminal scanning of store location labels to perform checking. Through the management mode based on the time axis segmentation driving and the in-store day dynamic filtering, the maintenance tasks can be evenly distributed, the contradiction between the maintenance of the backlog varieties and the newly-in-stored varieties is solved, the single work intensity is reduced, and the balanced maintenance of the whole process of the drug store and the GSP specification compliance are ensured.

Description

Technical Field

[0001] This invention relates to the field of drug management and maintenance within medical institutions, and in particular to a drug maintenance method for medical institution pharmacies based on a '3-3-4' segmented logic. Background Technology

[0002] Currently, the maintenance of medicines in medical institutions' pharmacies mainly relies on manual inspections or environmental adjustments conducted at fixed intervals, such as every half month, monthly, or quarterly. The maintenance cycle T is usually set at approximately 30 or 90 days, aiming to ensure that the medicines stored in the warehouse meet quality management requirements through regular inspections and maintenance.

[0003] In related technologies, pharmacy warehouse management needs to strictly implement the GSP (Good Supply Practice) requirements for traceability and standardization, and complete various maintenance tasks through manual scheduling and recording. Within a maintenance cycle T, all medicines in the warehouse typically need to be fully maintained, and corresponding maintenance records need to be generated for auditing and traceability.

[0004] However, existing technologies have the following shortcomings: First, uneven maintenance intervals, due to insufficient early or late inspections, can easily lead to environmental drift in the middle of the drug's storage period. Furthermore, the inability to dynamically allocate maintenance resources based on storage duration results in high drug failure and waste rates. Second, a long-standing contradiction exists in drug warehouse management between long-term stockpiling of existing drugs and the fact that newly arrived drugs do not require immediate maintenance. Existing methods cannot effectively differentiate between drugs with different storage durations, leading to poor targeted maintenance. Finally, due to the lack of a scientific segmented driving logic, the workload of a single full-warehouse maintenance is often too concentrated and cumbersome, making it difficult to achieve batch-based maintenance of drugs. This not only increases labor costs but also makes it difficult to ensure the uniformity of maintenance for existing drugs throughout the entire cycle T. Summary of the Invention

[0005] To address the aforementioned issues, this invention provides a method for maintaining medicines in medical institution pharmacies based on a "3-3-4" segmentation logic. This method employs a monthly or quarterly "3-3-4" segmentation logic, combined with a driven management approach that uses filtering and sorting based on the number of days medicines are in storage and automated timed triggering. This enables the batch allocation of maintenance tasks, resolving the conflict between maintaining backlogged and newly arrived medicines while effectively reducing the workload per instance and ensuring balanced maintenance and GSP compliance for all medicines in the pharmacy.

[0006] The above objectives can be achieved through the following approach: A method for maintaining medicines in a medical institution's pharmacy based on a "3-3-4" segmentation logic includes: setting a total maintenance cycle and dividing the total maintenance cycle into a first stage, a second stage, and a third stage sequentially connected on a time axis according to a proportional segmentation logic; obtaining the number of days the medicines are in stock and constructing a set of batches to be maintained that have been filtered and sorted in descending order of the number of days based on the number of days in stock; extracting the corresponding proportion of the batches to be maintained in the first stage, the second stage, and the third stage to generate electronic maintenance tasks; triggering automated instructions to automatically issue preset maintenance instructions to preset execution terminals at the end time nodes of each stage, driving users to complete physical verification and data feedback according to prompts; and automatically generating a summary table of the maintenance of all medicines in the pharmacy within the total maintenance cycle after the completion of the third stage task.

[0007] Optionally, the proportional segmentation logic includes: setting the duration of the first stage and the second stage to 30% of the total maintenance cycle, and setting the duration of the third stage to 40% of the total maintenance cycle.

[0008] Optionally, the set of batches to be maintained includes: calculating the cumulative difference in the number of days between the date each medicine entered the warehouse and the current date as the number of days in storage; excluding batches of medicines with a number of days in storage less than the preset threshold for the start of maintenance days from the task allocation of the current cycle through logical comparison, deducting the batches of varieties that have completed maintenance within the cycle, and sorting the remaining varieties in descending order of the number of days in storage.

[0009] Optionally, the electronic maintenance task includes: using the total number of batches to be maintained as the calculation base, obtaining the first 30% of the batches of medicine in the sorting sequence in the first stage, obtaining the next 30% of the batches of medicine in the sorting sequence in the second stage, and obtaining the remaining 40% of the batches of medicine in the sorting sequence in the third stage, thereby distributing the entire warehouse maintenance workload to three work units.

[0010] Optionally, the automation command triggering includes: triggering a full-warehouse complete maintenance operation command at the time nodes when the timing of the first stage, the second stage, and the third stage ends; establishing a data interaction path based on network protocols, pushing the corresponding warehouse location information and basic drug information in the generated electronic maintenance task to the interactive interface of the execution terminal in real time, and checking the physical status of the drugs and the warehouse environment information in the designated warehouse location according to the prompt information displayed on the interactive interface.

[0011] Optionally, the execution terminal includes a PDA device with wireless communication function, which is used to receive pushed maintenance instructions and confirm the location by scanning the storage location label with a unique identification code pasted on the medicine warehouse shelf.

[0012] Optionally, the physical verification and data feedback includes: verifying the physical status of the medicine and the temperature reading of the warehouse environment at the execution terminal, and autonomously constructing a structured electronic record containing operation time, warehouse location number, environmental temperature and humidity values ​​and personnel identity information after receiving the confirmation signal from the execution terminal.

[0013] Optionally, the maintenance summary table includes: phased sub-tables generated at the end of the first and second phases respectively, and a maintenance summary table that includes all in-stock medicines within the total maintenance cycle, generated after the completion of the third phase.

[0014] Optionally, the method further includes: after all electronic maintenance tasks in the third stage are completed and a summary table is generated, automatically clearing the timer value and task execution record of the current cycle, and returning to the initialization step to recalculate the segment length of the next cycle.

[0015] Compared with the prior art, the present invention has the following advantages: 1. This invention achieves a balanced distribution of maintenance tasks and reduces the risk of environmental drift. Existing technologies often suffer from uneven maintenance intervals, resulting in insufficient early or late inspections. This invention, through a "three-three-four" segmented logic, ensures a balanced distribution of maintenance during the high, middle, and late stages of the cycle, thereby comprehensively reducing the risk of environmental drift that may occur in the middle of the storage period for pharmaceuticals.

[0016] 2. Reduced workload per maintenance session. Traditional methods typically require maintenance of the entire warehouse at once, resulting in an overly concentrated and cumbersome workload. This invention distributes the maintenance task across three stages within a cycle, maximizing the batch maintenance of medicines and effectively reducing the immediate workload during each maintenance session.

[0017] 3. This invention resolves the conflict between maintaining stockpiled and newly arrived products. Existing methods cannot dynamically allocate resources based on the length of time the products have been stored. This invention, through a calculation and storage days filtering mechanism, ensures that newly arrived batches of medicines will not be included in the current maintenance tasks before reaching the initial days threshold, thereby enabling resources to be concentrated on prioritizing products that have been stockpiled for a long time.

[0018] 4. Improved automation and traceability compliance with GSP standards. Addressing the cumbersome nature of manual record-keeping and its difficulty in meeting regulatory requirements, this invention automatically distributes tasks via timed or event-driven modules, and interacts in real-time with devices such as PDAs and electronic tags to automatically generate corresponding maintenance records and summary tables. This reduces labor costs and ensures compliance and traceability throughout the entire process.

[0019] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures pointed out in the description, claims and drawings. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 This is a flowchart illustrating a method for maintaining medicines in a medical institution's pharmacy based on a '3-3-4' segmented logic, according to an embodiment of the present invention.

[0022] Figure 2 This is a schematic diagram of the time segmentation and task load model of a medical institution pharmacy drug maintenance method based on '334' segmentation logic, according to an embodiment of the present invention.

[0023] Figure 3 This is a schematic diagram of a drug storage days sorting and task allocation model based on a '334' segmented logic drug maintenance method for medical institution pharmacies, according to an embodiment of the present invention. Detailed Implementation

[0024] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0025] Reference Figure 1 One embodiment of the present invention proposes a method for the maintenance of medicines in a medical institution pharmacy based on a "3-3-4" segmentation logic. It adopts a segmentation logic based on a monthly or quarterly "3-3-4" ratio, combined with a driven management method that filters and sorts medicines by the number of days they are in storage and automatically triggers timed events. This method can achieve batch allocation of maintenance tasks, effectively reduce the workload of each operation, and ensure balanced maintenance and GSP compliance for all medicines in the pharmacy while resolving the conflict between the maintenance of backlogged and newly arrived medicines.

[0026] The method described in this embodiment specifically includes: Set a total maintenance cycle, and divide the total maintenance cycle into a first stage, a second stage, and a third stage that are connected sequentially on the time axis according to the proportional segmentation logic; Obtain the number of days the medicines are in stock, and construct a set of batches to be maintained that have been filtered and sorted in descending order of the number of days based on the number of days in stock; In the first, second and third stages, the corresponding proportions of the batches to be maintained are extracted to generate electronic maintenance tasks. The automated command trigger automatically sends preset maintenance instructions to preset execution terminals at the end of each stage, driving users to complete physical verification and data feedback according to the prompts. Upon completion of the third phase of the task, a summary table of the maintenance of all medicines in the entire maintenance cycle will be automatically generated.

[0027] Specifically, a total maintenance cycle T is set, and proportional segmentation logic is applied to divide this cycle into three sequentially connected stages on the timeline. Next, the number of days all medicines are in stock is obtained, and filtering and descending sorting logic is executed to construct a set of batches to be maintained. Subsequently, corresponding proportions of the batches to be maintained in each of the three stages are extracted to generate electronic maintenance tasks. An automated command triggering mechanism is established to automatically issue commands to execution terminals such as PDAs at the end of each stage, driving users to complete physical verification and data feedback. Finally, after all tasks in the third stage are verified, a maintenance summary report for the entire cycle is automatically generated. The logic for the total maintenance cycle is as follows: ; in, The total number of batches to be maintained; The amount of tasks allocated to stage i.

[0028] Optionally, the proportional segmentation logic includes: The duration of the first and second stages is set to 30% of the total maintenance cycle, and the duration of the third stage is set to 40% of the total maintenance cycle.

[0029] Specifically, execution buffers are reserved for tasks of different sizes by dividing the physical duration into segments. The proportional segmentation logic calculates the duration of the three stages using a specific weighting factor. The physical duration allocation formula is as follows: ; ; ; The symbols in the formula are explained below: The duration of the first phase; The duration of the second phase; The duration of the third stage; T is the set total maintenance cycle length. For example... Figure 2 The diagram illustrates the non-equal distribution of time segments and corresponding task intensity within the maintenance cycle. The graph uses black solid lines and bars with different internal textures such as vertical lines, horizontal lines, and plus signs to represent the duration of each stage, with values ​​strictly following the calculation logic of 0.3T, 0.3T, and 0.4T. The corresponding dotted-line frame bars represent the proportion of task load undertaken by each stage (30%, 30%, and 40%), visually demonstrating how the longer time span of stage 3 (0.4T) can buffer its highest proportion of task load (40%).

[0030] For example, when the maintenance cycle is set to T=90 days, i.e., a single quarterly maintenance, the duration of both the first and second stages is... The duration of the third phase is [number] days. The additional nine days provided ample leeway for personnel to execute tasks, effectively reducing the risk of environmental drift caused by task backlog, as the third phase carried 40% of the maximum workload.

[0031] Optionally, the set of batches to be maintained includes: Calculate the cumulative difference in the number of days between the date each medicine was received in the warehouse and the current date as the number of days in storage; By logically comparing the data, batches of medicines with a storage period of less than the preset maintenance start date threshold will be excluded from the task allocation for the current cycle. Batches of medicines that have completed maintenance within the cycle will also be deducted. The remaining medicines will be sorted in descending order of the storage period.

[0032] Specifically, the process of constructing the batch set to be maintained resolves the maintenance conflict between backlogged and newly arrived varieties through a dynamic storage age filtering mechanism. The system also calculates the number of days in storage by obtaining the storage date of the medicines in the warehouse in real time. ; The value is the number of days the data is in stock. The current date; This refers to the date the drug batch was received into the warehouse. Through logical comparison, batches with a warehouse storage period shorter than a preset maintenance start date threshold (e.g., 7 days) are identified as newly received batches and removed. Simultaneously, batches that have already completed maintenance within the current cycle are also removed. Finally, the selected varieties are sorted in descending order of the number of days in storage.

[0033] For example, if the maintenance start date is set to 7 days, on the first day of the cycle, a scan reveals that batch A has been in storage for 100 days, while batch B has only been in storage for 2 days. Then, the condition of batch B... It automatically filters them, only including the backlogged batch A in the sorting sequence and placing it at the top, ensuring that resources are prioritized for maintaining varieties that have been backlogged for a long time.

[0034] Optionally, the electronic maintenance task includes: Using the total number of batches to be maintained as the calculation base, the first 30% of the batches of medicines in the sorting sequence are obtained in the first stage, the next 30% of the batches of medicines in the sorting sequence are obtained in the second stage, and the remaining 40% of the batches of medicines in the sorting sequence are obtained in the third stage, thereby distributing the entire warehouse maintenance workload to three work units.

[0035] Specifically, the generation of electronic maintenance tasks follows the principle of non-equal load sharing. The total number of batches to be maintained is used as the calculation base to calculate the number of tasks in each stage: ; ; ; in, The number of tasks generated in the first phase; The number of tasks generated in the second phase; The number of tasks generated for the third phase; This represents the total number of batches to be maintained. For example... Figure 3 The diagram illustrates the construction and segmented extraction logic of the batch set to be maintained. The horizontal axis represents the descending order of all batches of medicines in the warehouse, sorted by the number of days they have been in storage, while the vertical axis represents the number of days each batch has been in storage. The thick red dashed line indicates the preset maintenance start date threshold, such as 7 days. Batches below this line, represented by a thin gray solid line, are automatically filtered and not included in the maintenance task for this cycle. The filtered batches are divided into three task units according to a 30 / 30 / 40 ratio: a bar chart with diagonal lines represents the top 30% of batches with high backlogs obtained in Phase 1; a bar chart with reverse diagonal lines represents the middle 30% of batches obtained in Phase 2; and a bar chart with dots represents the remaining 40% of batches obtained in Phase 3. This ensures that the oldest and highest-risk products receive maintenance attention in the earliest stage of the cycle.

[0036] For example, for a warehouse with 1,000 batches awaiting maintenance, the entire maintenance workload is distributed across three work units: the first phase allocates the top 300 longest-stocked varieties; the second phase allocates the next 300 varieties; and the third phase allocates the remaining 400 varieties. This allocation method enables batch-by-batch maintenance of medicines, breaking down the originally concentrated workload into smaller, manageable units.

[0037] Optionally, the automation command triggering includes: At the end of the first, second and third phases, a full warehouse maintenance operation command is triggered. A data interaction path based on network protocols is established, and the corresponding storage location information and basic drug information in the generated electronic maintenance task are pushed to the interactive interface of the execution terminal in real time. According to the prompts displayed on the interactive interface, the physical status of the drugs and the warehouse environment information are checked in the designated storage location in sequence.

[0038] Specifically, the automated command triggering mechanism establishes a data interaction path based on time nodes and network protocols. Trigger actions are executed at the end of each stage's timing. For task triggering time nodes, there are: ; ; ; in, This is the first phase trigger node; This is the trigger node for the second phase; This is the trigger node for the third stage; T is the total duration of the cycle. After triggering, the physical storage location information and basic information such as drug specifications and batch numbers corresponding to the electronic maintenance task are pushed to the interactive interface of the execution terminal via the network.

[0039] For example, let T = 30 days. On the 9th day, i.e., 0.3T, the maintenance 1 command is automatically triggered. The operator's PDA immediately receives a prompt containing information such as "Location A-01, Amoxicillin, 100 boxes", guiding the operator to complete the verification task within the specified period.

[0040] Optionally, the execution terminal includes: A PDA device with wireless communication function is used to receive push maintenance instructions and confirm the location by scanning the storage location label with a unique identification code pasted on the medicine warehouse shelf.

[0041] Specifically, physical confirmation of the picking process is achieved using PDA devices with wireless communication capabilities. A pre-stored mapping between storage locations and unique identification codes such as barcodes or electronic tags is maintained. Upon arriving at the designated storage location, the warehouse manager must use a PDA to scan the location tag affixed to the shelf. The storage location confirmation logic is as follows: ; in, The tag identification code scanned by the PDA; The target code for the storage location specified in the task instruction. This is the scan function.

[0042] For example, the PDA shows a specific batch of refrigerated medicine in cold storage location A-12. Once the operator arrives on site, the PDA will only unlock the data entry interface after scanning the electronic tag corresponding to that location. If an incorrect tag is scanned, an error message will be displayed, ensuring the physical implementation of maintenance procedures.

[0043] Optionally, the physical verification and data feedback include: The system verifies the physical condition of the medicines and the temperature readings of the warehouse environment at the execution terminal. After receiving a confirmation signal from the execution terminal, it automatically constructs a structured electronic record containing the operation time, storage location number, ambient temperature and humidity values, and personnel identification information.

[0044] Specifically, the physical verification and data feedback process enables structured evidence preservation of the maintenance process. Operators verify the physical quality status of the goods and enter the ambient thermometer readings on their PDAs. Upon receiving a feedback confirmation signal, they autonomously construct a structured electronic record. This structured record includes: a time dimension (the exact moment of operation); a spatial dimension (the unique code for the corresponding storage location); a status dimension (the measured temperature and humidity values); and a personnel dimension (operator identification).

[0045] For example, after verifying that the packaging of a batch of medicines is intact, the operator enters the current ambient temperature of 4.5℃ into the PDA and submits it. The backend immediately generates an original maintenance record containing "2026-03-10 09:30, storage location A-05, 4.5℃, personnel Zhang San", which effectively improves the traceability of GSP standards.

[0046] Optionally, the maintenance summary table includes: The phased tables generated at the end of the first and second phases, and the maintenance summary table that includes all medicines in stock during the total maintenance cycle, generated after the completion of the third phase.

[0047] Specifically, the maintenance summary table consists of segmented sub-tables and a periodic master table. After each stage ends and the corresponding task is completed, a maintenance sub-table for that stage is automatically generated. After the third stage task is fully executed, the execution data of all three stages within the current cycle is summarized to generate a complete summary table covering all medicines in the inventory.

[0048] For example, on the last day of each month, such as the 30th day, administrators can export a summary table for the current period with a single click. The report clearly records the maintenance details completed in 1,000 batches at different time periods. This combination of segmented tables and a summary table not only facilitates daily work checks but also directly meets the regulatory authorities' review needs for quarterly or monthly maintenance coverage rates.

[0049] Optionally, the method further includes: After all electronic maintenance tasks in the third phase are completed and a summary table is generated, the timer value and task execution record for the current cycle are automatically cleared, and the initialization step is returned to recalculate the segment length for the next cycle.

[0050] Specifically, once all maintenance tasks in the third phase are completed and the summary table is generated, a cleanup procedure is triggered to automatically clear the current cycle's accumulated timer values, phase status markers, and temporary task execution records. Then, the process returns to the initialization step and re-enters the next cycle based on the latest inbound data.

[0051] For example, once all tasks are cleared on day 30, the timer is instantly reset to zero. The inventory is immediately rescanned, and drugs newly added this month that have reached the threshold for the number of days in stock are re-included in the next cycle's sorting. This ensures the dynamic conversion and continuous management of stockpiled and newly added drugs, achieving fully unattended operation throughout the entire process.

[0052] It should be noted that the electrical connections between the various units described above do not necessarily represent direct or indirect connections. Any indirect connection method can be applied to the embodiments of the present invention as long as it achieves the purpose of the present invention. The above descriptions are merely exemplary embodiments of the present invention and should not be construed as limiting the scope of the present invention.

[0053] All equivalent changes and modifications made in accordance with the teachings of this invention are still within the scope of this invention. Those skilled in the art will readily conceive of other embodiments of this invention upon considering the specification and the disclosure of practical truth. This application is intended to cover any variations, uses, or adaptations of this invention that follow the general principles of this invention and include common knowledge or conventional techniques in the art not described herein.

Claims

1. A method for drug maintenance in a medical institution's pharmacy based on a '3-3-4' segmented logic, characterized in that: Set a total maintenance cycle, and divide the total maintenance cycle into a first stage, a second stage, and a third stage that are connected sequentially on the time axis according to the proportional segmentation logic; Obtain the number of days the medicines are in stock, and construct a set of batches to be maintained that have been filtered and sorted in descending order of the number of days based on the number of days in stock; In the first, second and third stages, the corresponding proportions of the batches to be maintained are extracted to generate electronic maintenance tasks. The automated command trigger automatically sends preset maintenance instructions to preset execution terminals at the end of each stage, driving users to complete physical verification and data feedback according to the prompts. Upon completion of the third phase of the task, a summary table of the maintenance of all medicines in the entire maintenance cycle will be automatically generated.

2. The method for drug maintenance in a medical institution pharmacy based on '3-3-4' segmentation logic as described in claim 1, characterized in that, The proportional segmentation logic includes: The duration of the first and second stages is set to 30% of the total maintenance cycle, and the duration of the third stage is set to 40% of the total maintenance cycle.

3. The method for drug maintenance in a medical institution's pharmacy based on '3-3-4' segmented logic as described in claim 1, characterized in that, The set of batches to be maintained includes: Calculate the cumulative difference in the number of days between the date each medicine was received in the warehouse and the current date as the number of days in storage; By logically comparing the data, batches of medicines with a storage period of less than the preset maintenance start date threshold will be excluded from the task allocation for the current cycle. Batches of medicines that have completed maintenance within the cycle will also be deducted. The remaining medicines will be sorted in descending order of the storage period.

4. A method for drug maintenance in a medical institution's pharmacy based on '3-3-4' segmented logic, as described in claim 1, is characterized in that... The electronic maintenance tasks include: Using the total number of batches to be maintained as the calculation base, the first 30% of the batches of medicines in the sorting sequence are obtained in the first stage, the next 30% of the batches of medicines in the sorting sequence are obtained in the second stage, and the remaining 40% of the batches of medicines in the sorting sequence are obtained in the third stage, thereby distributing the entire warehouse maintenance workload to three work units.

5. A method for drug maintenance in a medical institution's pharmacy based on '3-3-4' segmented logic, as described in claim 1, is characterized in that... The automated command triggering includes: At the end of the first, second and third phases, a full warehouse maintenance operation command is triggered. A data interaction path based on network protocols is established, and the corresponding storage location information and basic drug information in the generated electronic maintenance task are pushed to the interactive interface of the execution terminal in real time. According to the prompts displayed on the interactive interface, the physical status of the drugs and the warehouse environment information are checked in the designated storage location in sequence.

6. A method for drug maintenance in a medical institution's pharmacy based on '3-3-4' segmented logic, as described in claim 1, is characterized in that... The execution terminal includes: A PDA device with wireless communication function is used to receive push maintenance instructions and confirm the location by scanning the storage location label with a unique identification code pasted on the medicine warehouse shelf.

7. A method for drug maintenance in a medical institution's pharmacy based on '3-3-4' segmented logic, as described in claim 1, is characterized in that... The physical verification and data feedback include: The system verifies the physical condition of the medicines and the temperature readings of the warehouse environment at the execution terminal. After receiving a confirmation signal from the execution terminal, it automatically constructs a structured electronic record containing the operation time, storage location number, ambient temperature and humidity values, and personnel identification information.

8. A method for drug maintenance in a medical institution's pharmacy based on '3-3-4' segmented logic, as described in claim 1, is characterized in that... The maintenance summary table includes: The phased tables generated at the end of the first and second phases, and the maintenance summary table that includes all medicines in stock during the total maintenance cycle, generated after the completion of the third phase.

9. A method for drug maintenance in a medical institution's pharmacy based on '3-3-4' segmented logic, as described in claim 1, is characterized in that... The method further includes: After all electronic maintenance tasks in the third phase are completed and a summary table is generated, the timer value and task execution record for the current cycle are automatically cleared, and the initialization step is returned to recalculate the segment length for the next cycle.

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