Intelligent nursing information processing method and system
Through the intelligent nursing information processing system, using cloud servers and modular design, the "value-forward value" of nursing staff is calculated and tasks assigned, which solves the shortcomings in nursing staff screening and evaluation in existing nursing methods, and improves nursing quality and data management efficiency.
Patent Information
- Application Number
- CN202510118453.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-24
- Publication Date
- 2025-05-13
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing nursing homes or housekeeping services lack targeted nursing staff screening and evaluation feedback mechanisms, making it difficult for the elderly to choose satisfactory nursing staff.
Design an intelligent nursing information processing system, including a cloud server, information collection module, information processing module and task arrangement module. The system calculates the 'value-push value' of the caregiver by obtaining and processing the caregiver's historical number of care and ratings, and assigns nursing tasks based on this value.
Reasonable screening and task allocation of nursing staff has been achieved, the quality of care and satisfaction of the elderly have been improved, and data security and processing efficiency have been ensured through a multi-layer storage management mechanism.
Smart Images
Figure CN119993425A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the field of intelligent nursing and relates to information processing technology, in particular to an intelligent nursing information processing method and system. Background Art
[0002] With the intensification of the aging population, we are rapidly entering an aging society. The primary problem facing an aging society is how to take care of the growing proportion of elderly people. On the one hand, the fast pace of modern society makes it difficult to maintain the traditional model of relying on children to support the elderly. At the same time, the trend of declining births has also aggravated the difficulties of young families in providing for the elderly in the new era. On the other hand, although sending the elderly to nursing homes or hiring domestic service workers to provide elderly care at home has become a relatively common social phenomenon.
[0003] The existing nursing homes or hired domestic service personnel's care methods mostly arrange personnel work according to shifts. There is no screening of nursing staff for each nursing job, and there is no reasonable work evaluation feedback for nursing staff after the nursing work is completed. As a result, users who need care cannot choose a better and more satisfactory caregiver on their own.
[0004] To this end, the present invention proposes an intelligent nursing information processing method and system. Summary of the invention
[0005] To achieve the above-mentioned purpose, the embodiment of the present application provides, on the one hand, an intelligent nursing information processing system, including a cloud server, an information collection module connected thereto by remote wireless connection, an information processing module, and a task scheduling module; The information collection module is used to obtain the historical nursing times and corresponding nursing scores of all registered nursing staff and send them to the cloud server; The information processing module is used to obtain the nursing information stored in the secondary storage unit of the cloud server and process the obtained nursing information. The information processing module arranges the nursing scores corresponding to the historical nursing times in ascending order according to the nursing score values and performs data screening; The information processing module calculates the value-pushing value of the nursing staff using a calculation formula, and sends the calculated value-pushing value to the task scheduling module; The task scheduling module is used to receive nursing tasks, assign nursing staff to receive tasks, mark target nursing staff according to the nursing staff's value, connect to the cloud server to obtain the target nursing staff's personal information, and assign nursing tasks through contact information.
[0006] Preferably, the cloud server includes a primary storage unit, a secondary storage unit and a tertiary storage unit, the primary storage unit is used to store the personal information of successfully registered nursing staff, and the secondary storage unit is used to store the nursing information of nursing staff collected by the information collection module; and it should be noted that the cloud server also includes a storage management unit, the storage management unit is used to perform storage management on the primary storage unit and the secondary storage unit, the storage management unit is provided with a storage management cycle, when the storage management cycle is reached, the storage management unit will back up the nursing information stored in the secondary storage unit to the tertiary storage unit, and delete the nursing information stored in the secondary storage unit.
[0007] Preferably, the process of the information processing module processing the nursing information includes the following steps: The information processing module obtains the historical nursing times and corresponding nursing scores of all registered nursing staff; The information processing module arranges the nursing scores corresponding to the historical nursing times in ascending order according to the nursing score values, and performs data screening; The information processing module uses a calculation formula to calculate the value of the nursing staff; The information processing module sends the calculated value to the task scheduling module.
[0008] Preferably, when the task scheduling module receives a nursing task, the process of assigning nursing staff includes the following steps: The task scheduling module obtains the current nursing status of all registered nursing staff, and marks the nursing staff in idle state as nursing staff to be scheduled. The task scheduling module sends the extraction signal to the information processing module; the information processing module sends the calculated value of the substitute nursing staff to the task scheduling module; After the task scheduling module receives the value-push values of the substitute nursing staff sent by the information processing module, it arranges the value-push values of the substitute nursing staff in descending order, and assigns tasks according to the value-push values of the nursing staff, adjusting the current nursing status of the nursing staff from the idle state to the working state.
[0009] Preferably, it also includes a registration and login module, which is used for the caregiver to input personal information for registration and login, and stores the personal information of the successfully registered caregiver in the cloud server; The personal information includes name, contact information and ID number.
[0010] Preferably, when the nursing staff successfully registers through the registration and login module, the registration and login module feeds back the staff number, which is a positive integer.
[0011] Preferably, the nursing information includes the number of historical nursing times, the corresponding nursing evaluation and the current nursing status; the nursing evaluation includes the nursing score and a text description of the nursing evaluation.
[0012] Preferably, the current nursing status is divided into idle status and working status according to the nature of the work; when the nursing staff completes a nursing work, the current nursing status of the nursing staff is adjusted from working status to idle status; when the nursing staff's nursing work is in progress, the current nursing status of the nursing staff is working status.
[0013] Another aspect of the present application provides an intelligent nursing information processing method, which includes the following steps: The task scheduling module receives the nursing task, obtains the current nursing status of all registered nursing staff, and marks the nursing staff in the idle state as nursing staff to be scheduled. The task scheduling module sends an extraction signal to the information processing module; The information processing module obtains the historical nursing times and corresponding nursing scores of all waiting nursing staff; the information processing module arranges the nursing scores corresponding to the historical nursing times in ascending order according to the nursing score values; The information processing module uses a calculation formula to calculate the value of the nursing staff; The information processing module sends the calculated value to the task scheduling module; After receiving the value-push values of the substitute nurses sent by the information processing module, the task scheduling module arranges the value-push values of the substitute nurses in descending order, obtains the substitute nurse ranked first and marks it as the target nurse; The nursing task is assigned through the contact information, the historical nursing times of the nursing staff are increased by one, and the current nursing status of the nursing staff is adjusted from the idle status to the working status.
[0014] Compared with the prior art, the beneficial effects of the present invention are: a plurality of storage units are included in the cloud server, and the registered personal information and the nursing information of the nursing staff are stored separately to prevent information loss or information failure caused by storage information disorder, and the storage management unit is provided with a storage management cycle. When the storage management cycle is reached, the storage management unit will back up the nursing information stored in the secondary storage unit to the tertiary storage unit, and delete the nursing information stored in the secondary storage unit; storing long-term data separately can speed up data retrieval and improve information processing efficiency. BRIEF DESCRIPTION OF THE DRAWINGS
[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the prior art and the drawings required for use in the embodiments are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.
[0016] Figure 1 This is a structural block diagram of an intelligent nursing information processing system of the present invention; Figure 2 The present invention is a flowchart of an intelligent nursing information processing method. DETAILED DESCRIPTION
[0017] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0018] Example 1 Please refer to Figure 1 ,This embodiment provides an intelligent nursing information processing system, including a cloud server, and an information collection module and a registration and login module remotely and wirelessly connected to the cloud server; The registration and login module is used for the caregiver to input personal information for registration and login, and the personal information of the successfully registered caregiver is stored in the cloud server; In the present invention, the personal information includes name, contact information and ID number. In the embodiment disclosed in the present application, the registration and login module is also connected to an external public security system, and the external public security system is used to verify the input name according to the ID number input by the nursing staff. When the external public security system verifies that the ID number and the name are correct, the registration is allowed to succeed. Otherwise, the external public security system feeds back an information error signal to the registration and login module, and the registration and login module displays that the registration has failed. It should also be noted that when a nursing staff successfully registers through the registration and login module, the registration and login module will feedback the staff number, which is a positive integer; The information collection module is used to collect nursing information of nursing staff, and the nursing information includes historical nursing times, corresponding nursing evaluations and current nursing status; Specifically, when the nursing staff successfully registers through the registration and login module, the registration and login module feedbacks the staff number, which is a positive integer. The relationship between the corresponding process is: ; in, Indicates the number, Indicates that it has been processed by a hash function. Indicates the registration timestamp, Indicates the unique feature value corresponding to the ID card number. Represents a random number, represents the XOR operation, represents the modulo operation, Indicates the maximum value of the number range. Indicates taking the high-order part of the timestamp.
[0019] Furthermore, by introducing a combination of timestamp, hash value and random number, the complexity and uniqueness of number generation are increased; at the same time, by introducing modular operation to limit the number range, it is easy to manage.
[0020] In the present invention, the nursing evaluation includes a nursing score and a nursing evaluation text description, wherein the nursing score The satisfaction level is expressed in points, and the satisfaction level increases from low to high. The text description of the nursing evaluation is the evaluation of the nursing staff on the work content after the nursing staff completes the work. There is no limit on the number of words in the text description of the nursing evaluation. The current nursing status is divided into idle status and working status according to the nature of the work; when the nursing staff completes a nursing work, the current nursing status of the nursing staff is adjusted from working status to idle status; when the nursing staff's nursing work is in progress, the current nursing status of the nursing staff is working status; Wherein, the information collection module sends the collected nursing information of the nursing staff to the cloud server, and the cloud server includes a primary storage unit, a secondary storage unit and a tertiary storage unit, the primary storage unit is used to store the personal information of the nursing staff who has successfully registered, and the secondary storage unit is used to store the nursing information of the nursing staff collected by the information collection module; and it should be noted that the cloud server also includes a storage management unit, and the storage management unit is used to perform storage management on the primary storage unit and the secondary storage unit, and the storage management unit is provided with a storage management cycle. When the storage management cycle is reached, the storage management unit backs up the nursing information stored in the secondary storage unit to the tertiary storage unit, and deletes the nursing information stored in the secondary storage unit; Specifically, the storage management unit is provided with a storage management cycle. When the storage management cycle is reached, the storage management unit backs up the nursing information stored in the secondary storage unit to the tertiary storage unit and deletes the nursing information stored in the secondary storage unit. The specific steps are as follows: Get the timestamp generated by the current time; Traverse the identifiers of all secondary storage unit data in the secondary storage unit, and perform the following operations on each secondary storage unit data: If the corresponding identifier is not detected in the tertiary storage unit, an identifier of the tertiary storage unit is initialized to store the secondary storage unit data corresponding to the identifier; if the corresponding identifier is detected in the tertiary storage unit, the secondary storage unit data corresponding to the identifier is appended to the existing identifier in the tertiary storage unit; After completing the data append from the secondary storage unit to the tertiary storage unit, a timestamp is added to each piece of data in the tertiary storage unit; After the timestamp addition operation is completed, all data in the secondary storage unit is cleared.
[0021] Furthermore, this step completes the secure backup of data and the effective management of storage space, while also ensuring operational efficiency and data integrity.
[0022] In the present invention, an information processing module connected to the cloud server is also included, and the information processing module is used to obtain the nursing information stored in the secondary storage unit of the cloud server and process the obtained nursing information. Specifically, the process of the information processing module processing the nursing information includes the following steps: The information processing module obtains the historical nursing times and corresponding nursing scores of all registered nursing staff; In the present invention, it is necessary to explain that when the nursing staff completes the nursing work, not all the cared persons will evaluate the work content of the nursing staff. Therefore, when there is no nursing score after the corresponding nursing work is completed, the information processing module is set according to the middle score, that is, point; The information processing module arranges the nursing scores corresponding to the historical nursing times in ascending order according to the nursing score values, and performs data screening; The information processing module uses a calculation formula to calculate the value of the nursing staff; The information processing module sends the calculated value to the task scheduling module; Specifically, the information processing module calculates the value of the nursing staff, and the specific steps are as follows: Obtaining the total number of historical nursing scores and the total score of the historical nursing scores from the information processing module; The total number of nursing scores and the sum of the scores of nursing scores were obtained; Obtain the weight coefficient of the historical nursing score and the weight coefficient of the nursing score; The average score of the historical nursing score is obtained based on the sum of the scores of the historical nursing score and the total number of historical nursing scores; The average nursing score is obtained based on the sum of the nursing score and the total number of nursing scores; Take the square root of the historical number of nursing visits and multiply it by a fixed coefficient to obtain the impact factor of the historical number of nursing visits; Based on the average score of the historical scores and the weight coefficient of the historical nursing scores, the weighted average score of the historical nursing scores is obtained; Based on the average score of the nursing score and the weight coefficient of the nursing score, the weighted average score of the nursing score is obtained; The weighted average score of the historical nursing scores is added to the weighted average score of the nursing scores to obtain the basic score value; Apply the influencing factor of the historical number of nursing times to the basic score value to obtain the estimated value.
[0023] Furthermore, the present invention introduces the influencing factor of the number of historical nursing times to reflect the positive impact of the nursing staff's experience on the value estimation.
[0024] In a specific embodiment, the task scheduling module is used to receive nursing tasks and assign nursing staff to receive the tasks. Specifically, when the task scheduling module receives the nursing tasks, the process of assigning nursing staff includes the following steps: The task scheduling module obtains the current nursing status of all registered nursing staff, and marks the nursing staff in idle state as nursing staff to be scheduled. The task scheduling module sends the extraction signal to the information processing module; the information processing module sends the calculated value of the substitute nursing staff to the task scheduling module; After the task scheduling module receives the value-push values of the substitute nursing staff sent by the information processing module, it arranges the value-push values of the substitute nursing staff in descending order, and assigns tasks according to the value-push values of the nursing staff, adjusting the current nursing status of the nursing staff from the idle state to the working state.
[0025] Specifically, after the task scheduling module receives the value push values of the substitute nurses sent by the information processing module, it arranges the value push values of the substitute nurses in descending order, and assigns tasks according to the value push values of the nurses, and adjusts the current nursing status of the nurses from the idle state to the working state. The specific steps are as follows: Based on the value-added value, the nursing staff corresponding to the value-added value are sorted from high to low; Obtaining data information of nursing staff and historical nursing information corresponding to the nursing staff; The data information of the nursing staff includes two status tags: idle and non-idle; Traverse the values from high to low and do the following: If the status tag of the nursing staff corresponding to the current value push is idle, the current nursing staff is determined to be the target nursing staff; if the status tag of the nursing staff corresponding to the current value push is non-idle, the nursing staff is skipped and the next value push is continued to be queried; After determining the target caregiver, the status of the caregiver is adjusted from idle to working; Update the historical care information of the target caregiver.
[0026] Furthermore, this step ensures that tasks are preferentially assigned to nursing staff with strong comprehensive abilities and free time, and records and feedback are provided on the task assignment process for subsequent tracking and processing.
[0027] An intelligent nursing information processing system provided by this embodiment includes multiple storage units in the cloud server, which separately store registered personal information and nursing staff's nursing information to prevent information loss or information failure caused by storage information disorder, and the storage management unit is provided with a storage management cycle. When the storage management cycle is reached, the storage management unit will back up the nursing information stored in the secondary storage unit to the tertiary storage unit, and delete the nursing information stored in the secondary storage unit; storing long-term data separately can speed up data retrieval and improve information processing efficiency.
[0028] Example 2 Please refer to Figure 1 This embodiment provides an intelligent nursing information processing method. The intelligent nursing information processing method provided by this embodiment includes the following steps: Step 1: The task scheduling module receives the nursing task, obtains the current nursing status of all registered nursing staff, and marks the nursing staff in the idle state as waiting nursing staff. The task scheduling module sends the extraction signal to the information processing module; Step 2: The information processing module obtains the historical nursing times and corresponding nursing scores of all waiting nursing staff; the information processing module arranges the nursing scores corresponding to the historical nursing times in ascending order according to the nursing score values; Step 3: The information processing module sends the calculated value to the task scheduling module; Step 4: After receiving the value-push values of the substitute nurses sent by the information processing module, the task scheduling module arranges the value-push values of the substitute nurses in descending order, obtains the substitute nurse ranked first and marks it as the target nurse; The nursing task is assigned through the contact information, the historical nursing times of the nursing staff are increased by one, and the current nursing status of the nursing staff is adjusted from the idle status to the working status.
[0029] The information processing module of the intelligent nursing information processing method provided in the present embodiment first performs data screening when processing nursing information, and removes the historical nursing times and nursing scores corresponding to the first certain proportion and the last certain proportion in proportion, thereby avoiding the problem of unreasonable assignment of nursing staff due to false orders or malicious evaluations to a certain extent, and at the same time divides the current nursing status into idle status and working status according to the nature of the work; reasonable allocation and assignment according to the two different statuses also avoids unfairness in task assignment, and at the same time allows each nursing staff to be assigned nursing tasks to a large extent, ensuring the efficient implementation of nursing work.
[0030] The above formulas are all calculated by removing dimensions and taking numerical values. The formula is a formula that is closest to the actual situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained by simulating a large amount of data.
[0031] It should also be noted that, in this specification, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprises", "comprising" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the statement "comprising a ..." does not exclude the presence of other identical elements in the process, method, article or device including the element.
[0032] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. An intelligent nursing information processing system, characterized in that: It includes a cloud server, an information collection module connected to it by remote wireless connection, an information processing module and a task scheduling module; The information collection module is used to obtain the historical nursing times and corresponding nursing scores of all registered nursing staff and send them to the cloud server; The information processing module is used to obtain the nursing information stored in the secondary storage unit of the cloud server and process the obtained nursing information. The information processing module arranges the nursing scores corresponding to the historical nursing times in ascending order according to the nursing score values and performs data screening; The information processing module calculates the value-pushing value of the nursing staff using a calculation formula, and sends the calculated value-pushing value to the task scheduling module; The task scheduling module is used to receive nursing tasks, assign nursing staff to receive tasks, mark target nursing staff according to the nursing staff's value, connect to the cloud server to obtain the target nursing staff's personal information, and assign nursing tasks through contact information.
2. An intelligent nursing information processing system as claimed in claim 1, characterized in that: The cloud server includes a primary storage unit, a secondary storage unit and a tertiary storage unit. The primary storage unit is used to store the personal information of successfully registered nursing staff, and the secondary storage unit is used to store the nursing information of nursing staff collected by the information collection module; and it should be noted that the cloud server also includes a storage management unit, which is used to perform storage management on the primary storage unit and the secondary storage unit. The storage management unit is provided with a storage management cycle. When the storage management cycle is reached, the storage management unit will back up the nursing information stored in the secondary storage unit to the tertiary storage unit, and delete the nursing information stored in the secondary storage unit.
3. An intelligent nursing information processing system as claimed in claim 2, characterized in that: The storage management unit is provided with a storage management cycle. When the storage management cycle is reached, the storage management unit backs up the nursing information stored in the secondary storage unit to the tertiary storage unit and deletes the nursing information stored in the secondary storage unit. The specific steps are as follows: Get the timestamp generated by the current time; Traverse the identifiers of all secondary storage unit data in the secondary storage unit, and perform the following operations on each secondary storage unit data: If the corresponding identifier is not detected in the tertiary storage unit, an identifier of the tertiary storage unit is initialized to store the secondary storage unit data corresponding to the identifier; If a corresponding identifier is detected in the tertiary storage unit, the secondary storage unit data corresponding to the identifier is appended to the existing identifier in the tertiary storage unit; After completing the data append from the secondary storage unit to the tertiary storage unit, a timestamp is added to each piece of data in the tertiary storage unit; After the timestamp addition operation is completed, all data in the secondary storage unit is cleared.
4. An intelligent nursing information processing system as claimed in claim 3, characterized in that: The process of the information processing module processing the nursing information includes the following steps: The information processing module obtains the historical nursing times and corresponding nursing scores of all registered nursing staff; The information processing module arranges the nursing scores corresponding to the historical nursing times in ascending order according to the nursing score values, and performs data screening; The information processing module calculates the value inferred by the nursing staff; The information processing module sends the calculated value to the task scheduling module.
5. An intelligent nursing information processing system as claimed in claim 4, characterized in that: The information processing module calculates the value of the nursing staff. The specific steps are as follows: Obtaining the total number of historical nursing scores and the total score of the historical nursing scores from the information processing module; The total number of nursing scores and the sum of the scores of nursing scores were obtained; Obtain the weight coefficient of the historical nursing score and the weight coefficient of the nursing score; The average score of the historical nursing score is obtained based on the sum of the scores of the historical nursing score and the total number of historical nursing scores; The average nursing score is obtained based on the sum of the nursing score and the total number of nursing scores; Take the square root of the historical number of nursing visits and multiply it by a fixed coefficient to obtain the impact factor of the historical number of nursing visits; Based on the average score of the historical scores and the weight coefficient of the historical nursing scores, the weighted average score of the historical nursing scores is obtained; Based on the average score of the nursing score and the weight coefficient of the nursing score, the weighted average score of the nursing score is obtained; The weighted average score of the historical nursing score is added to the weighted average score of the nursing score to obtain the basic score value; Apply the influencing factor of the historical number of nursing times to the basic score value to obtain the estimated value.
6. An intelligent nursing information processing system as claimed in claim 5, characterized in that: When the task scheduling module receives a nursing task, the process of assigning nursing staff includes the following steps: The task scheduling module obtains the current nursing status of all registered nursing staff, and marks the nursing staff in idle state as nursing staff to be scheduled. The task scheduling module sends the extraction signal to the information processing module; the information processing module sends the calculated value of the substitute nursing staff to the task scheduling module; After the task scheduling module receives the value-push values of the substitute nursing staff sent by the information processing module, it arranges the value-push values of the substitute nursing staff in descending order, and assigns tasks according to the value-push values of the nursing staff, adjusting the current nursing status of the nursing staff from the idle state to the working state.
7. An intelligent nursing information processing system as claimed in claim 6, characterized in that: After receiving the value push values of the substitute nurses sent by the information processing module, the task scheduling module arranges the value push values of the substitute nurses in descending order, and assigns tasks according to the value push values of the nurses, and adjusts the current nursing status of the nurses from the idle state to the working state. The specific steps are as follows: Based on the value-added value, the nursing staff corresponding to the value-added value are sorted from high to low; Obtaining data information of nursing staff and historical nursing information corresponding to the nursing staff; The data information of the nursing staff includes two status tags: idle and non-idle; Traverse the values from high to low and do the following: If the status tag of the nursing staff corresponding to the current value push is idle, the current nursing staff is determined to be the target nursing staff; if the status tag of the nursing staff corresponding to the current value push is non-idle, the nursing staff is skipped and the next value push is continued to be queried; After determining the target caregiver, the status of the caregiver is adjusted from idle to working; Update the historical care information of the target caregiver.
8. An intelligent nursing information processing system as claimed in claim 7, characterized in that: It also includes a registration and login module, which is used for the caregiver to input personal information for registration and login, and stores the personal information of the successfully registered caregiver in the cloud server; The personal information includes name, contact information and ID number.
9. An intelligent nursing information processing system as claimed in claim 8, characterized in that: When the nursing staff successfully registers through the registration and login module, the registration and login module feedbacks the staff number, which is a positive integer. The relationship between the corresponding process is: ； in, Indicates the number, It means that after the hash function processing, Indicates the registration timestamp, Indicates the unique feature value corresponding to the ID card number. Represents a random number, represents the XOR operation, represents the modulo operation, Indicates the maximum value of the number range. Indicates taking the high-order part of the timestamp.
10. A processing method of an intelligent nursing information processing system according to any one of claims 1 to 9, characterized in that: The treatment method includes the following steps: The task scheduling module receives the nursing task, obtains the current nursing status of all registered nursing staff, and marks the nursing staff in the idle state as nursing staff to be scheduled. The task scheduling module sends an extraction signal to the information processing module; The information processing module obtains the historical nursing times and corresponding nursing scores of all waiting nursing staff; the information processing module arranges the nursing scores corresponding to the historical nursing times in ascending order according to the nursing score values; The information processing module uses a calculation formula to calculate the value of the nursing staff; The information processing module sends the calculated value to the task scheduling module; After receiving the value-push values of the substitute nurses sent by the information processing module, the task scheduling module arranges the value-push values of the substitute nurses in descending order, obtains the substitute nurse ranked first and marks it as the target nurse; The nursing task is assigned through the contact information, the historical nursing times of the nursing staff are increased by one, and the current nursing status of the nursing staff is adjusted from the idle status to the working status.