CN114305348A - Night nursing reminding system and method for practice convalescent - Google Patents
Night nursing reminding system and method for practice convalescent Download PDFInfo
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- CN114305348A CN114305348A CN202210045823.0A CN202210045823A CN114305348A CN 114305348 A CN114305348 A CN 114305348A CN 202210045823 A CN202210045823 A CN 202210045823A CN 114305348 A CN114305348 A CN 114305348A
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Abstract
The invention discloses a night nursing reminding system and method for practice students, which comprises a ward patient condition parameter monitoring module, a practice student reminding master station, an adverse event auxiliary judging module and a practice student night reminding terminal, wherein the patient condition parameter monitoring module comprises a patient condition parameter information acquisition end, the patient condition parameter information acquisition end is used for acquiring the condition parameters of patients on a sickbed and sending the condition parameters to the practice student reminding master station, the practice student reminding master station comprises a plurality of groups of prediction engines, the prediction engines are used for predicting whether adverse events occur to the patients, the adverse event auxiliary judging module comprises an adverse event severity grading model, the adverse event severity grading model is used for determining the critical degree of the patients after the adverse events occur, in the invention, different reminding signals are carried out on the practice students by different severity degrees of the patient conditions, the nursing failure caused by insufficient ability of the practice nurse is avoided, and the contradiction between doctors and patients is reduced.
Description
Technical Field
The invention relates to the technical field of night care, in particular to a night care reminding system and method for trainees.
Background
Lumbar spondylosis is a disease that causes because of factors such as degenerative change of lumbar intervertebral disc and bad posture, along with the change of people's mode of operation, the incidence of lumbar spondylosis is relatively improved, can make the patient locally have symptoms such as obvious inflammation, congestion, edema, when nursing lumbar disease patient, the patient locally has symptoms such as obvious inflammation, congestion, edema and can influence patient's self comfort level, strengthen patient's pain, after the disease produces pain, need in time nurse patient and make the patient pain slow down of feeling, and the patient who has carried out lumbar degenerative operation, unable independent movement, the big of disease, urine easily soaks the operation incision, cause the infection. Particularly, at night, for the practice caretaker who just touches the work post, the inadaptation of the night care operation and the care capability of the patient at night are weak, the care capability of most practice caretakers cannot meet the actual care operation requirement of the condition of the patient, the blind care of the practice caretakers easily causes the discomfort of the patient, even aggravates the condition of the patient, generates the medical-patient contradiction between the patient and the practice caretakers, and has great influence on the individual of the hospital and the practice caretakers, so that the night care reminding system and the night care reminding method for the practice caretakers are provided for solving the problems.
Disclosure of Invention
The invention aims to provide a night care reminding system and method for trainees, which aim to solve the problems in the background art.
In order to achieve the purpose, the invention provides the following technical scheme: a night nursing reminding system for practice nurse comprises a ward patient condition parameter monitoring module, a practice nurse reminding master station, an adverse event auxiliary judgment module and a practice nurse night reminding terminal, wherein the patient condition parameter monitoring module comprises a patient condition parameter information acquisition end, the ward condition parameter information acquisition end comprises a lumbar vertebra local skin detection patch, a wound inspection mechanism and a patient help seeking mechanism, the patient condition parameter information acquisition end is used for acquiring patient condition parameters of patients on a sickbed and sending the patient condition parameters to the practice nurse reminding master station, and the patient help seeking mechanism is used for sending help seeking signals when the patients feel uncomfortable; the intern nurse reminding central station comprises a plurality of groups of prediction engines, and the prediction engines are used for determining the disease condition parameter range of patients with normal and no adverse events according to the set data and the analysis of the disease condition parameter data of the patients in the current period, and predicting whether adverse events occur to the patients or not; the adverse event auxiliary judgment module comprises an adverse event illness state severity grading model, and the adverse event illness state severity grading model grades the illness state of the patient according to the detection data of the patient illness state parameter monitoring module to determine the critical degree of the patient after the adverse event occurs; the midwife night reminding terminal is used for reminding the midwife and counting the working hours of the midwife.
Furthermore, a local temperature change monitoring component and a local skin humidity monitoring component are arranged on the inner side of the lumbar local skin detection patch and are used for detecting the temperature change and the humidity of the local skin of the patient and determining whether the patient has local inflammation or edema and the severity of the local inflammation or edema.
Further, wound detection mechanism is equipped with the wound and prevents soaking the paster strip, be equipped with sweat-absorbing silver, moisture detection subassembly and urea content detection subassembly in the wound prevents soaking the paster strip for adsorb near the moisture of wound, and carry out the detection of urea content to the moisture of adsorbing, confirm the absorption type.
Further, the terminal is reminded at night by the intern, and the working hours of the intern waiting for working are calculated as follows:
in the formula: hTo be treatedIndicating the working hours of the trainee, HGeneral assemblyIndicates the total working hours of work required by the trainee on the day, HPersonalIndicating the number of personal activities performed by the trainee on the day, HDirect connectionIndicating the number of direct nursing hours that the trainee has performed on the current day, HIndirect connectionIndicating the indirect nursing hours that the trainee has performed on the current day.
Further, the trainee fatigue degree prediction model comprises fatigue degree reminding signal setting for the trainee to carry out nursing operation:
in the formula: sOpening deviceIndicating a fatigue-warning turn-on signal, SClosing deviceIndicating a fatigue-warning-off signal, HTo be treatedThe method comprises the steps of representing the waiting working hours of a trainee, T representing the average time length of the trainee for performing current adverse item nursing, k representing a fluctuation range constant of adverse event nursing time, and c representing an average processing time constant of secondary events in the adverse event nursing process.
Further, the midwife night reminding terminal comprises a voice reminding function and a light source flickering reminding function, and the midwife night reminding terminal comprises at least two reminding signals including a danger reminding function with insufficient capacity, an improper operation reminding function with too high fatigue degree and the like.
Furthermore, the data transmission among the ward patient condition parameter monitoring module, the intern reminding central station, the adverse event auxiliary judgment module and the intern night reminding terminal is connected through a wireless local area network.
Further, a night nursing reminding method for trainees comprises the following steps:
step one, a patient condition parameter monitoring module located in a sickroom nursing sickbed collects patient condition parameter information of a patient, and sends collected information data to a corresponding trainee reminding central office through a wireless local area network;
step two, comparing the data of the disease condition parameter information of each patient through a corresponding prediction engine, and determining whether adverse events occur to the patient;
thirdly, the adverse event auxiliary judgment module groups the compared disease condition parameter information data and determines the adverse event critical degree of the patient corresponding to the disease condition parameter information data according to the grouping condition;
and step four, the trainee night reminding terminal sends different sound and light alarm signals according to the grouped data, so that the trainee is prevented from nursing the adverse events which cannot be processed.
Compared with the prior art, the invention detects the temperature and the humidity of the local skin of the patient with inflammation and edema, the phenomena of local skin temperature rise caused by inflammation, body fluid exudation caused by edema and the like are monitored, the current state of illness of a patient is determined, in the process of sweating at the wound part of the patient and even urine side leakage of the patient entering the wound, absorbing liquid to reduce wound infection, determining absorbed liquid components according to the detection of urea content in the liquid, determining adverse events of urine leakage of patients, finally judging and grading detection data by an adverse event auxiliary judgment module, and according to different severity of the illness state of the patients, different reminding signals are carried out on the practice caretaker, the problem that the practice caretaker fails in nursing due to insufficient ability is avoided, and the contradiction between doctors and patients is reduced.
Compared with the prior art, the invention has the advantages that before the intern carries out the nursing operation, the intern night reminding terminal can count the total working hours of the intern, and according to the formula, the working hours to be worked before the intern is tired on the day are calculated, after the nursing items to be carried out by the intern are determined, predicting the time of the nursing work of the trainee, comparing the predicted time with the work waiting time of the trainee to determine whether the fatigue of the trainee meets the work of the current nursing item, and when the working hours of the trainees are lower than the predicted nursing time of the current nursing items of the trainees, the training convoy is subjected to fatigue reminding, so that the error caused by overhigh fatigue during nursing operation of the training convoy is avoided, perfect nursing of patients is ensured, and the contradiction between doctors and patients caused by unqualified nursing is reduced.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the technical description of the present invention will be briefly introduced below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive labor.
Fig. 1 is a schematic view of the overall structure of the present invention.
FIG. 2 is a diagram illustrating a patient condition parameter data transmission structure according to the present invention.
Detailed Description
The present invention is further described with reference to specific embodiments, and all other embodiments obtained by a person of ordinary skill in the art without any inventive work are within the scope of the present invention.
Example 1
Referring to fig. 1-2, the invention provides a night care reminding system for a practice nurse, which comprises a ward patient condition parameter monitoring module, a practice nurse reminding master station, an adverse event auxiliary judgment module and a practice nurse night reminding terminal, wherein the patient condition parameter monitoring module comprises a patient condition parameter information acquisition end, the ward patient condition parameter information acquisition end comprises a lumbar local skin detection patch, a wound examination mechanism and a patient help seeking mechanism, the patient condition parameter information acquisition end is used for acquiring patient condition parameters of a patient on a sickbed and sending the patient condition parameters to the practice nurse reminding master station, and the patient help seeking mechanism is used for sending help signals when the patient feels uncomfortable; the intern nurse reminding central station comprises a plurality of groups of prediction engines, and the prediction engines are used for determining the disease condition parameter range of patients with normal and no adverse events according to the set data and the analysis of the disease condition parameter data of the patients in the current period, and predicting whether adverse events occur to the patients or not; the adverse event auxiliary judgment module comprises an adverse event illness state severity grading model, and the adverse event illness state severity grading model grades the illness state of the patient according to the detection data of the patient illness state parameter monitoring module to determine the critical degree of the patient after the adverse event occurs; the midwife night reminding terminal is used for reminding the midwife and counting the working hours of the midwife.
Specifically, a local temperature change monitoring component and a local skin humidity monitoring component are arranged on the inner side of the lumbar local skin detection patch and used for detecting the temperature change and the humidity of the local skin of the patient and determining whether the patient has local inflammation or edema and the severity of the local inflammation or edema.
Specifically, wound detection mechanism is equipped with the wound and prevents soaking the paster strip, be equipped with sweat-absorbing silver, moisture detection subassembly and urea content detection subassembly in the wound prevents soaking the paster strip for adsorb near the moisture of wound, and carry out the detection of urea content to the moisture of adsorbing, confirm the absorption type.
Specifically, the midwife night reminding terminal comprises a sound reminding function and a light source flickering reminding function, and comprises at least two reminding signals including a danger reminding function with insufficient capacity, an improper operation reminding function with too high fatigue and the like.
Specifically, the ward patient condition parameter monitoring module, the practice caregiver reminding central station, the adverse event auxiliary judgment module and the practice caregiver night reminding terminal are connected through a wireless local area network in a data transmission mode.
By adopting the technical scheme: according to the invention, the temperature and humidity of local skin with inflammation and edema of a patient are detected, the phenomena of temperature rise of the local skin caused by inflammation, body fluid exudation caused by edema and the like are monitored, the current state of an illness of the patient is determined, liquid is absorbed in the process of sweating at a wound part of the patient and even urine leakage of the patient into the wound, the infection of the wound is reduced, the absorbed liquid component is determined according to the detection of the urea content in the liquid, the adverse event of urine leakage of the patient is determined, finally, the detection data is judged and graded by an adverse event auxiliary judgment module, and different reminding signals are carried out on practice life support according to different severity degrees of the illness of the patient.
The invention provides a night nursing reminding method for trainees, which comprises the following steps of: the lumbar vertebra local skin detection patch is attached to local skin of a patient suffering from inflammation, congestion and edema caused by lumbar spondylosis, a wound anti-soaking adhesive tape is arranged on the outer side of a wound of a patient suffering from lumbar vertebra after operation, in the process of lying in bed after the patient is subjected to lumbar degenerative operation, a local temperature change monitoring component in the lumbar vertebra local skin patch can detect the temperature of the local skin of the patient suffering from inflammation and determine the temperature change, a local skin humidity detection component in the lumbar vertebra local skin patch can detect the humidity of the local skin of the patient suffering from edema, the wound anti-soaking adhesive tape can absorb liquid permeating into the wound, the quantity of liquid soaking into the wound is reduced, the liquid content and the liquid components in the wound anti-soaking adhesive tape are detected by a moisture detection component and a urea content detection component, and the patient condition parameter monitoring module can transmit the detection data to the practice nursing care through a wireless local area network A head office which sets the fluctuation range of the data of the patient under normal conditions and enables a prediction engine in the nursing head office to classify the detection data according to the fluctuation range, when the detection data is within the fluctuation range, the head office of the trainee nursing office sends a signal to the trainee through a wireless local area network to enable the trainee to normally nurse the lumbar patient, when the detection data is larger than the fluctuation range, the patient generates adverse events, the prediction engine analyzes and sends the parameters of the illness state of the current patient to an adverse event auxiliary judgment module to judge and grade the detection data, the adverse events of the patient are divided into light, medium and dangerous three grades, the graded detection data corresponds to the severity of the illness state of the patient, and sends a signal to a nighttime reminding terminal of the trainee according to different severity of the illness state, when the adverse events of the patients are in a light level, the intern attends to nursing, and when the adverse events of the patients are in a medium or dangerous level, the intern reminds the terminal to send out danger reminding with insufficient capacity at night, so that the intern is advised not to attend to the nursing operation of the patients.
Example 2
Referring to fig. 1-2, the invention provides a night care reminding system for a practice nurse, which comprises a ward patient condition parameter monitoring module, a practice nurse reminding master station, an adverse event auxiliary judgment module and a practice nurse night reminding terminal, wherein the patient condition parameter monitoring module comprises a patient condition parameter information acquisition end, the ward patient condition parameter information acquisition end comprises a lumbar local skin detection patch, a wound examination mechanism and a patient help seeking mechanism, the patient condition parameter information acquisition end is used for acquiring patient condition parameters of a patient on a sickbed and sending the patient condition parameters to the practice nurse reminding master station, and the patient help seeking mechanism is used for sending help signals when the patient feels uncomfortable; the intern nurse reminding central station comprises a plurality of groups of prediction engines, and the prediction engines are used for determining the disease condition parameter range of patients with normal and no adverse events according to the set data and the analysis of the disease condition parameter data of the patients in the current period, and predicting whether adverse events occur to the patients or not; the adverse event auxiliary judgment module comprises an adverse event illness state severity grading model, and the adverse event illness state severity grading model grades the illness state of the patient according to the detection data of the patient illness state parameter monitoring module to determine the critical degree of the patient after the adverse event occurs; the midwife night reminding terminal is used for reminding the midwife and counting the working hours of the midwife.
Specifically, the terminal is reminded at night by the trainee, and the working hours of the trainee to work are calculated:
in the formula: hTo be treatedIndicating the working hours of the trainee, HGeneral assemblyIndicates the total working hours of work required by the trainee on the day, HPersonalIndicating the number of personal activities performed by the trainee on the day, HDirect connectionIndicating the number of direct nursing hours that the trainee has performed on the current day, HIndirect connectionIndicating the indirect nursing hours that the trainee has performed on the current day.
Specifically, the trainee fatigue degree prediction model comprises fatigue degree reminding signal setting for the trainee to carry out nursing operation:
in the formula: sOpening deviceIndicating a fatigue-warning turn-on signal, SClosing deviceIndicating a fatigue-warning-off signal, HTo be treatedThe method comprises the steps of representing the waiting working hours of a trainee, T representing the average time length of the trainee for performing current adverse item nursing, k representing a fluctuation range constant of adverse event nursing time, and c representing an average processing time constant of secondary events in the adverse event nursing process.
By adopting the technical scheme: in the invention, before the practice nurse carries out nursing operation, the practice nurse night reminding terminal counts the total working hours of the practice nurse, calculates the working hours to be worked before the practice nurse is tired at the current day according to a formula, predicts the time of the training nurse nursing operation after determining the nursing items to be worked on by the practice nurse, compares the predicted time with the working hours to be worked on by the practice nurse, determines whether the fatigue degree of the practice nurse meets the work of the current nursing items, and carries out fatigue degree reminding on the practice nurse after the working hours to be worked on by the practice nurse are lower than the predicted nursing time of the current nursing items of the practice nurse, thereby avoiding the error caused by overhigh fatigue degree during the nursing operation of the practice nurse, ensuring perfect nursing of patients and reducing the medical contradiction caused by unqualified nursing.
The above description is only for the preferred embodiments of the present invention, but the scope of the present invention is not limited thereto, and those skilled in the art should be construed as the scope of the present invention by equally or differently replacing the technical solutions and the inventive concepts of the present invention within the technical scope of the present invention.
Claims (8)
1. The utility model provides a system is reminded in nursing at night for practice nurse, includes ward sick state of an illness parameter monitoring module, practice nurse reminds head office, adverse events assists judgement module and practice nurse reminds terminal at night, its characterized in that: the patient condition parameter monitoring module comprises a patient condition parameter information acquisition end, the ward condition parameter information acquisition end comprises a lumbar local skin detection patch, a wound inspection mechanism and a patient help seeking mechanism, and the patient condition parameter information acquisition end is used for acquiring patient condition parameters of patients on a sickbed and sending the patient condition parameters to a practice nurse reminding central station; the intern nurse reminding central station comprises a plurality of groups of prediction engines, and the prediction engines are used for determining the disease condition parameter range of patients with normal and no adverse events according to the set data and the analysis of the disease condition parameter data of the patients in the current period, and predicting whether adverse events occur to the patients or not; the adverse event auxiliary judgment module comprises an adverse event illness state severity grading model, and the adverse event illness state severity grading model grades the illness state of the patient according to the detection data of the patient illness state parameter monitoring module to determine the critical degree of the patient after the adverse event occurs; the midwife night reminding terminal is used for reminding the midwife and counting the working hours of the midwife.
2. The night care reminding system for trainees according to claim 1, wherein: the lumbar local skin detection patch is characterized in that a local temperature change monitoring component and a local skin moisture monitoring component are arranged on the inner side of the lumbar local skin detection patch and used for detecting the temperature change and the moisture of the local skin of a patient and determining whether the patient has local inflammation or edema and the severity of the local inflammation or edema.
3. The night care reminding system for trainees according to claim 1, wherein: wound detection mechanism is equipped with the wound and prevents soaking the paster strip, be equipped with sweat-absorbing silver, moisture detection subassembly and urea content detection subassembly in the wound prevents soaking the paster strip for adsorb near the moisture of wound, and carry out the detection of urea content to the moisture of adsorbing, confirm the absorption type.
4. The night care reminding system for trainees according to claim 1, wherein: the terminal is reminded at night by the intern, and the working hours of the intern to work are calculated:
in the formula: hTo be treatedIndicating the working hours of the trainee, HGeneral assemblyIndicates the total working hours of work required by the trainee on the day, HPersonalIndicating the number of personal activities performed by the trainee on the day, HDirect connectionIndicating the number of direct nursing hours that the trainee has performed on the current day, HIndirect connectionIndicating the indirect nursing hours that the trainee has performed on the current day.
5. The night care reminding system for trainees according to claim 1, wherein: the training convoy fatigue degree prediction model comprises a fatigue degree reminding signal setting of the training convoy for nursing operation:
in the formula: sOpening deviceIndicating a fatigue-warning turn-on signal, SClosing deviceIndicating a fatigue-warning-off signal, HTo be treatedThe method comprises the steps of representing the waiting working hours of a trainee, T representing the average time length of the trainee for performing current adverse item nursing, k representing a fluctuation range constant of adverse event nursing time, and c representing an average processing time constant of secondary events in the adverse event nursing process.
6. The night care reminding system for trainees according to claim 1, wherein: the midwife night reminding terminal comprises a sound reminding function and a light source flickering reminding function, and comprises at least two reminding signals including a danger reminding function with insufficient capacity and an improper operation reminding function with too high fatigue degree.
7. The night care reminding system for trainees according to claim 1, wherein: the data transmission among the ward patient condition parameter monitoring module, the practice nurse reminding central station, the adverse event auxiliary judgment module and the practice nurse night reminding terminal is connected through a wireless local area network.
8. The night care reminding method for the trainees according to claims 1 to 7, comprising the steps of:
step one, a patient condition parameter monitoring module located in a sickroom nursing sickbed collects patient condition parameter information of a patient, and sends collected information data to a corresponding trainee reminding central office through a wireless local area network;
step two, comparing the data of the disease condition parameter information of each patient through a corresponding prediction engine, and determining whether adverse events occur to the patient;
thirdly, the adverse event auxiliary judgment module groups the compared disease condition parameter information data and determines the adverse event critical degree of the patient corresponding to the disease condition parameter information data according to the grouping condition;
and step four, the trainee night reminding terminal sends different sound and light alarm signals according to the grouped data, so that the trainee is prevented from nursing the adverse events which cannot be processed.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210045823.0A CN114305348A (en) | 2022-01-16 | 2022-01-16 | Night nursing reminding system and method for practice convalescent |
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| CN202210045823.0A CN114305348A (en) | 2022-01-16 | 2022-01-16 | Night nursing reminding system and method for practice convalescent |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115414550A (en) * | 2022-09-26 | 2022-12-02 | 浙江大学医学院附属第一医院 | Intelligent transfusion nursing system and method |
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2022
- 2022-01-16 CN CN202210045823.0A patent/CN114305348A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115414550A (en) * | 2022-09-26 | 2022-12-02 | 浙江大学医学院附属第一医院 | Intelligent transfusion nursing system and method |
| CN115414550B (en) * | 2022-09-26 | 2024-05-07 | 浙江大学医学院附属第一医院 | Intelligent transfusion nursing system and method |
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