An intelligent rehabilitation nursing management system based on data analysis

Abstract

The present invention discloses an intelligent rehabilitation nursing management system based on data analysis. By collecting and recording the patient's disease type, the time point of entering and leaving the rehabilitation nursing program, and identity information, a suitable nurse is scientifically and rationally assigned to the corresponding patient, ensuring that the patient can be inspected by the same nurse for a long time, and improving the nurse's grasp of the inspection results and the patient's recovery process and progress. The present invention also calculates the average inspection time, the average rehabilitation nursing time, and the time required for patients of the corresponding age group to transfer to the next nursing level for the corresponding disease by recording the relationship between age, disease type, rehabilitation time, and nurses, so as to modify the parameters in the allocation process in real time, thereby ensuring the accuracy of the calculation results, ensuring that the nurse has sufficient rest time between two inspection tasks, and ensuring that the working time of each nurse can be fully utilized.

Description

Technical Field

[0001] The present invention belongs to the field of smart medical technology, and specifically relates to an intelligent rehabilitation nursing management system based on data analysis. Background Art

[0002] Medical rehabilitation is a medical discipline that eliminates and alleviates human functional disorders, compensates for and reconstructs human functional deficiencies, and improves and enhances human functions in all aspects. Rehabilitation care is a long-term process that requires a large amount of work, so it requires both medical staff and rehabilitation subjects to devote a long time and energy.

[0003] Due to the need to conduct patrol work on patients during the rehabilitation nursing process based on their physical conditions, the patrol work in the prior art is carried out by manual scheduling, which mainly utilizes the staff's spare time for scheduling. It does not fully consider the impact of patients, symptoms and staff members on the patrol process, nor does it reasonably utilize the favorable experience of nurses. The allocation is highly random, which easily leads to some nurses being in a hurry when performing patrol work, affecting the patrol results. In order to solve the above problems, an intelligent rehabilitation nursing management system based on data analysis is provided, and the present invention provides the following technical solutions. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent rehabilitation nursing management system based on data analysis to solve the problem in the prior art that the allocation of inspection work in the rehabilitation nursing process of patients is unscientific and unreasonable, thus affecting the inspection effect.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] An intelligent rehabilitation nursing management system based on data analysis, comprising:

[0007] The information recording module is used to register patients who need rehabilitation care, record the patient's identity information, disease information, the time when the patient enters the rehabilitation care program, the time when the patient leaves the rehabilitation care program, and the nurse's identity information;

[0008] The grading module divides patients who need care into the first, second and third care levels, and each care level has a corresponding inspection cycle;

[0009] The inspection record module is used to record the start and end time of the nurse's inspection and obtain the duration of a single inspection by the nurse;

[0010] The working method of the above-mentioned intelligent rehabilitation nursing management system based on data analysis is:

[0011] The first step is to obtain the patient's identity information, disease information and nursing level, so as to obtain the corresponding patient's inspection cycle. According to the patient's inspection cycle and the starting time point of the patient entering the rehabilitation nursing program, the time points at which the corresponding patient needs to be inspected are obtained;

[0012] In the second step, mark the time points where the corresponding patients need to be inspected as k1, k2, ..., kn, obtain the nurses' work schedule information, and determine whether each nurse has work in the ki±ky time period. If so, the corresponding time period is marked as ki1, and if not, the corresponding time period is marked as ki2, where the sum of ki1 and ki2 is n. Obtain the value K1 of ki2 / n, and select the nurse with the largest K1 value as the main inspector. The main inspector is responsible for the inspection work of all ki2 time periods, and the remaining ki1 time periods are matched with nurses who have no work in the corresponding time periods for inspection.

[0013] As a further solution of the present invention, it also includes a video monitoring module for collecting video information of the patient's bed position and transmitting it to a background monitoring module. The background monitoring module views the video information of the patient's bed position through a display screen.

[0014] As a further solution of the present invention, in the second step, when matching nurses to perform patrol work in the ki1 time period, first obtain the time difference kc between the corresponding ki1 time period and the corresponding nurse's closest work task time, the duration ks of the corresponding nurse's closest work task, and the number of patrols C1 of the corresponding nurse for the corresponding disease, and obtain the K2 value according to the formula K2=α1*kc+α2*ks+α3*C1, where α1, α2 and α3 are all preset coefficient values, and match the nurse with the largest K2 value to perform patrol work in the corresponding ki1 time period.

[0015] As a further solution of the present invention, the rounds records of the same nurse are collected through the rounds record module, and the patients with the same disease in the rounds records of each nurse are divided into N1, N2, ..., Nm, a total of m groups according to age groups, and the single rounds time of the nurses on the patients is obtained. Then, the single rounds time of patients in the same age group is processed to obtain the average rounds time T4 required by each nurse for patients of each age group with the corresponding disease;

[0016] Adjust kc and ks according to T4.

[0017] As a further solution of the present invention, in the second step, patients with the same disease are divided into m groups N1, N2, ..., Nm according to age groups, and the single round-trip time of the corresponding nurse to the patient is obtained through the round-trip recording module, and the single round-trip time of patients in the same age group is processed to obtain the average round-trip time T3 required for patients of each age group with the corresponding disease;

[0018] The ky value is adjusted by T3.

[0019] As a further solution of the present invention, the nursing information of the patient is obtained through the information recording module, and the patients with the same disease are divided into N1, N2, ..., Nm, a total of m groups according to age groups, and the rehabilitation nursing time of each patient is obtained. Then, the rehabilitation nursing time of patients in the same age group is processed to obtain the average rehabilitation nursing time T1 of patients in the corresponding age group for the corresponding disease;

[0020] Based on the bed occupancy situation of the rehabilitation nursing facility, the corresponding symptoms and age groups of each patient, and the patient's hospitalization duration, the bed vacancy situation of the rehabilitation nursing facility in the future is obtained, and arrangements are made for the patients who will subsequently enter the rehabilitation nursing facility for rehabilitation care.

[0021] As a further solution of the present invention, the nursing information of the patient is obtained through the information recording module, and the patients with the same disease are divided into N1, N2, ..., Nm according to age groups, a total of m groups, to obtain the time required for each patient to transfer to the next nursing level, and then the time required for patients of the same age group to transfer to the next nursing level is processed to obtain the time T2 required for patients of the corresponding age group to transfer to the next nursing level for the corresponding disease;

[0022] The various time points for conducting rounds on the corresponding patients in the first step are adjusted according to time T2 and time T1.

[0023] Beneficial effects of the present invention:

[0024] (1) The present invention collects and records the patient's symptom type, the time of entering and leaving the rehabilitation nursing program, and identity information, and scientifically and rationally assigns appropriate nurses to corresponding patients, ensuring that patients can be monitored by the same nurse for a long time, thereby improving the nurse's understanding of the monitoring results and the patient's recovery process and progress.

[0025] (2) When matching nurses to perform patrol work in the ki1 time period, the present invention calculates the K2 value by collecting the time difference kc between the corresponding ki1 time period and the corresponding nurse's closest work task time, the duration ks of the corresponding nurse's closest work task, and the number of patrols C1 of the corresponding nurse for the corresponding disease, and allocates nurses according to the size of the K2 value, thereby ensuring that the matched nurses have enough rest time between two tasks and have enough experience in the corresponding disease, thereby ensuring the high quality of the patrol work;

[0026] (3) The present invention records the relationship between age, disease type, rehabilitation time and nurses, calculates the average round time, average rehabilitation nursing time and the time required for patients of the corresponding age group to transfer to the next nursing level for the corresponding disease, and thus makes real-time modifications to the parameters in the allocation process, thereby ensuring the accuracy of the calculation results, ensuring that nurses have sufficient rest time between two round tasks, and ensuring that the working time of each nurse can be fully utilized. DETAILED DESCRIPTION

[0027] The technical solutions in the embodiments of the present invention are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] An intelligent rehabilitation nursing management system based on data analysis, comprising:

[0029] The information recording module is used to register patients who need rehabilitation care, record the patient's identity information, disease information, the time when the patient enters the rehabilitation care program, the time when the patient leaves the rehabilitation care program, and also record the nurse's identity information;

[0030] The identity information includes ID number, name and age;

[0031] The video monitoring module includes several cameras for collecting video information of the patient's bed location and transmitting it to the background monitoring module, which can view the video information of the patient's bed location through the display screen;

[0032] The video monitoring module can provide timely information about the patient in the corresponding bed when an abnormal situation occurs, making it easier for nurses to make a preliminary judgment on the actual situation.

[0033] The grading module is used to grade patients according to their conditions. Specifically, patients who need care are divided into the first care level, the second care level and the third care level.

[0034] The first nursing level is a serious condition, including post-major surgery, shock, coma, paralysis, etc. The nurse's inspection interval for patients at the first nursing level is set to t1;

[0035] The second nursing level is for patients with more serious conditions who cannot take care of themselves, including those whose conditions are stable after major surgery. The nurse's inspection interval for patients with the second nursing level is set to t2;

[0036] The third nursing level is for patients with mild illness who can basically take care of themselves, including those with general chronic diseases and those in the recovery period. The nurse's inspection interval for patients at the third nursing level is set to t3;

[0037] The inspection record module is used to record the start and end time of the nurse's inspection and obtain the duration of a single inspection by the nurse;

[0038] In one embodiment of the present invention, the patrol recording module uses active clocking in to record time;

[0039] The working method of the above-mentioned intelligent rehabilitation nursing management system based on data analysis is:

[0040] The first step is to obtain the patient's identity information and symptom information according to the information recording module, and obtain the patient's nursing level according to the grading module, so as to obtain the corresponding patient's inspection cycle, and obtain the time points for inspection of the corresponding patient according to the patient's inspection cycle and the starting time point of the patient entering the rehabilitation nursing program;

[0041] The second step is to mark the time points at which the corresponding patients need to be inspected as k1, k2, ..., kn, obtain the work schedule information of the nurses, and obtain whether each nurse has work in the ki±ky time period. If so, the corresponding time period is marked as ki1, and if not, the corresponding time period is marked as ki2, where the sum of the number of ki1 and ki2 is n, and obtain the value K1 of ki2 / n. The nurse with the largest K1 value is selected as the main inspector, who is responsible for the inspection work of all ki2 time periods, and the remaining ki1 time periods are matched with the nurses who have no work in the corresponding time periods for inspection;

[0042] In the second step, when matching nurses to perform patrol work in the ki1 time period, first obtain the time difference kc between the corresponding ki1 time period and the corresponding nurse's closest work task time, the duration ks of the corresponding nurse's closest work task, and the number of patrols C1 of the corresponding nurse for the corresponding disease, and obtain the K2 value according to the formula K2=α1*kc+α2*ks+α3*C1, where α1, α2 and α3 are all preset coefficient values, and match the nurse with the largest K2 value to perform patrol work in the corresponding ki1 time period, thereby ensuring that the matched nurse has enough rest time between two tasks and has enough experience with the corresponding disease, ensuring the high quality of the patrol work;

[0043] Since the inspection work is short in time and highly efficient, it usually does not take too long. When the same person is used to perform the inspection work, it will affect other work arrangements of the inspector, especially for patients of the first and second nursing levels, the inspection cycle is short, so usually a shift method is used to inspect and record the same patient, but this reduces efficiency, and the inspector needs to check the previous inspection records frequently, which affects the judgment of the inspection results. The present invention reasonably allocates the time of the nurses, thereby ensuring that the same patient can be inspected by the same nurse as much as possible, and improving the nurses' grasp of the inspection results and the patient's recovery process and progress;

[0044] In the second step, patients with the same disease are divided into m groups, N1, N2, ..., Nm, according to their age groups. The single round-trip time of the corresponding nurses to the patients is obtained through the round-trip record module, and then the single round-trip time of patients in the same age group is processed to obtain the average round-trip time T3 required for patients of each age group with the corresponding disease;

[0045] By adjusting the ky value through T3, nurses can have enough time to conduct patient rounds, thus avoiding the impact of tight schedules on the quality of rounds.

[0046] In one embodiment of the present invention, the rounds record module collects the rounds records of the same nurse, divides the patients with the same disease in the rounds records of each nurse into m groups N1, N2, ..., Nm according to age groups, obtains the single rounds time of the nurses to the patients, and then processes the single rounds time of the patients in the same age group, thereby obtaining the average rounds time T4 required by each nurse for the patients of each age group with the corresponding disease;

[0047] Subsequently, the calculation of kc, ks and other values ​​will be adjusted according to T4 to ensure the accuracy of the calculation results and further ensure that the nurses have enough energy and time to carry out the inspection work;

[0048] This method fully takes into account the different degrees of cooperation in the inspection process among patients of different age groups, as well as the impact of different inspection habits and personal abilities of nurses on inspection time. It can adjust the ky value according to the actual condition of the patient to ensure the accuracy of the calculation results. In addition, it also adjusts subsequent calculations according to the personal abilities of the nurses to further ensure the accuracy of the calculation results, thereby ensuring that the nurses performing inspection tasks have sufficient energy to perform inspection tasks.

[0049] The nursing information of patients is obtained through the information recording module, and patients with the same disease are divided into N1, N2, ..., Nm according to age groups, a total of m groups, to obtain the rehabilitation nursing time of each patient, and then the rehabilitation nursing time of patients in the same age group is processed to obtain the average rehabilitation nursing time T1 of patients in the corresponding age group for the corresponding disease;

[0050] According to the bed usage of the rehabilitation nursing facility, the corresponding symptoms and age groups of each patient, and the length of hospitalization of the patient, the availability of beds in the rehabilitation nursing facility in the future can be obtained, so as to facilitate the arrangement of patients who will subsequently enter the rehabilitation nursing facility for rehabilitation care;

[0051] In addition, the patient's nursing information is obtained through the information recording module, and the patients with the same disease are divided into N1, N2, ..., Nm according to age groups, a total of m groups, to obtain the time required for each patient to transfer to the next nursing level, and then the time required for patients in the same age group to transfer to the next nursing level is processed to obtain the time T2 required for patients in the corresponding age group to transfer to the next nursing level for the corresponding disease;

[0052] Adjust the time points of the rounds of the corresponding patients in the first step according to time T2 and time T1;

[0053] This method collects historical data to predict the time when the patient will be transferred to the next level of care, and based on this, directly makes long-term plans for the patient's rounds, facilitating the rapid arrangement of rounds and ensuring that the patient can receive good rounds and inspections in all time periods, thereby ensuring the normal progress of rehabilitation nursing work.

[0054] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. An intelligent rehabilitation nursing management system based on data analysis, characterized in that: include: The information recording module is used to register patients who need rehabilitation care, record the patient's identity information, disease information, the time when the patient enters the rehabilitation care program, the time when the patient leaves the rehabilitation care program, and the nurse's identity information; The grading module divides patients who need care into the first, second and third care levels, and each care level has a corresponding inspection cycle; The inspection record module is used to record the start and end time of the nurse's inspection and obtain the duration of a single inspection by the nurse; The working method of the above-mentioned intelligent rehabilitation nursing management system based on data analysis is: The first step is to obtain the patient's identity information, disease information and nursing level, so as to obtain the corresponding patient's inspection cycle. According to the patient's inspection cycle and the starting time point of the patient entering the rehabilitation nursing program, the time points at which the corresponding patient needs to be inspected are obtained; In the second step, mark the time points where the corresponding patients need to be inspected as k1, k2, ..., kn, obtain the nurses' work schedule information, and determine whether each nurse has work in the ki±ky time period. If so, the corresponding time period is marked as ki1, and if not, the corresponding time period is marked as ki2, where the sum of ki1 and ki2 is n. Obtain the value K1 of ki2 / n, and select the nurse with the largest K1 value as the main inspector. The main inspector is responsible for the inspection work of all ki2 time periods, and the remaining ki1 time periods are matched with nurses who have no work in the corresponding time periods for inspection.

2. According to claim 1, an intelligent rehabilitation nursing management system based on data analysis is characterized in that: It also includes a video monitoring module for collecting video information of the patient's bed location and transmitting it to a background monitoring module. The background monitoring module views the video information of the patient's bed location through a display screen.

3. The intelligent rehabilitation nursing management system based on data analysis according to claim 1 is characterized in that: In the second step, when matching nurses to perform patrol work in the ki1 time period, first obtain the time difference kc between the corresponding ki1 time period and the corresponding nurse's closest work task time, the duration ks of the corresponding nurse's closest work task, and the number of patrols C1 of the corresponding nurse for the corresponding disease. According to the formula K2=α1*kc+α2*ks+α3*C1, the K2 value is obtained, where α1, α2 and α3 are all preset coefficient values, and the nurse with the largest K2 value is matched to perform the patrol work in the corresponding ki1 time period.

4. The intelligent rehabilitation nursing management system based on data analysis according to claim 3 is characterized in that: The inspection records of the same nurse are collected through the inspection record module, and the patients with the same disease in the inspection records of each nurse are divided into N1, N2, ..., Nm, a total of m groups according to age groups, and the single inspection time of the nurses to the patients is obtained. Then, the single inspection time of patients in the same age group is processed to obtain the average inspection time T4 required by each nurse for patients of each age group with the corresponding disease; Adjust kc and ks according to T4.

5. The intelligent rehabilitation nursing management system based on data analysis according to claim 1 is characterized in that: In the second step, patients with the same disease are divided into m groups according to age groups, namely N1, N2, ..., Nm. The single round-trip time of the corresponding nurses to the patients is obtained through the round-trip record module. The single round-trip time of patients in the same age group is processed to obtain the average round-trip time T3 required for patients of each age group with the corresponding disease. The ky value is adjusted by T3.

6. The intelligent rehabilitation nursing management system based on data analysis according to claim 1 is characterized in that: The nursing information of patients is obtained through the information recording module, and patients with the same disease are divided into N1, N2, ..., Nm according to age groups, a total of m groups, to obtain the rehabilitation nursing time of each patient, and then the rehabilitation nursing time of patients in the same age group is processed to obtain the average rehabilitation nursing time T1 of patients in the corresponding age group for the corresponding disease; Based on the bed occupancy situation of the rehabilitation nursing facility, the corresponding symptoms and age groups of each patient, and the patient's hospitalization duration, the bed vacancy situation of the rehabilitation nursing facility in the future is obtained, and arrangements are made for the patients who will subsequently enter the rehabilitation nursing facility for rehabilitation care.

7. The intelligent rehabilitation nursing management system based on data analysis according to claim 1 is characterized in that: The nursing information of the patients is obtained through the information recording module, and the patients with the same disease are divided into N1, N2, ..., Nm according to age groups, a total of m groups, to obtain the time required for each patient to transfer to the next nursing level, and then the time required for patients of the same age group to transfer to the next nursing level is processed to obtain the time T2 required for patients of the corresponding age group to transfer to the next nursing level for the corresponding disease; The various time points for conducting rounds on the corresponding patients in the first step are adjusted according to time T2 and time T1.