Rehabilitation nursing risk assessment early warning method and system

Abstract

The invention relates to the technical field of medical data analysis, and provides a risk assessment early warning system for rehabilitation nursing, which comprises a data acquisition module used for acquiring physiological indexes of a patient, judging psychological indexes through part of the physiological indexes and outputting double-index data; the index monitoring risk assessment module is used for analyzing the double-index data output by the data acquisition module so as to supervise various physical states of the patient, assessing a risk level according to an analysis result, performing early warning according to the risk level and outputting a corresponding alarm command; and the index visualization module can simulate an image model of the patient and perform highlight processing on the model corresponding to the patient part of the patient. The recovery process of the patient is visualized, so that the patient and family members can intuitively know the physical condition and the recovery process of the patient, the sense of participation and satisfaction of the patient on recovery nursing are enhanced, the patient is helped to keep positive mentality, and recovery is promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of medical data analysis, and in particular to a risk assessment and early warning method and system for rehabilitation nursing. Background Art

[0002] With the continuous development of medical technology and the increase in patients' rehabilitation needs, the safety issues of rehabilitation nursing have become increasingly prominent. The core goal of rehabilitation nursing is to help patients restore or improve their functional status and improve their quality of life. The application of risk assessment and early warning aims to systematically and scientifically evaluate the various risks that patients may face during the rehabilitation process and formulate corresponding preventive measures, thereby effectively reducing the incidence of accidents and complications. It can not only improve the pertinence and effectiveness of rehabilitation treatment, but also shorten the patient's rehabilitation cycle, promote their faster and better recovery of health, and thus improve the overall safety of rehabilitation nursing.

[0003] After searching, a risk assessment and early warning method and system for rehabilitation nursing with announcement number CN118969288A includes the following steps: collecting various rehabilitation index data of patients, including physiological indexes, psychological indexes and rehabilitation progress data, and preprocessing the collected rehabilitation index data to obtain a rehabilitation index sequence table; extracting the correlation characteristics of the patient's physiological indexes, psychological indexes and rehabilitation progress according to the rehabilitation index sequence table. The risk assessment and early warning method and system for rehabilitation nursing can timely discover the risk factors that may appear in the patient's rehabilitation process by real-time monitoring of the patient's physiological and psychological state. The system dynamically calculates the rehabilitation risk assessment coefficient by analyzing the physiological indicators of heart rate, blood pressure, and body temperature, as well as the patient's psychological state and rehabilitation progress. When the assessment coefficient exceeds the preset warning threshold, the warning is automatically triggered to remind medical staff to intervene in time.

[0004] The above search patent provides a function of analyzing physiological indicators such as heart rate, blood pressure, and body temperature, as well as the patient's psychological state and rehabilitation progress, dynamically calculating the rehabilitation risk assessment coefficient, and automatically triggering an early warning when the assessment coefficient exceeds the preset early warning threshold. However, the monitored patients will have certain negative emotional tendencies due to long-term treatment and continuous monitoring of physiological indicators, and when they do not understand their own condition, the condition will be further aggravated, thereby causing psychological factors to affect the monitoring of physiological indicators and the treatment process. Therefore, a risk assessment and early warning method and system for rehabilitation nursing are needed. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a risk assessment and early warning method and system for rehabilitation care, which solves the problem that the monitored patients may develop certain negative emotional tendencies due to long-term treatment and continuous monitoring of physiological indicators, causing psychological factors to affect the monitoring of physiological indicators and the treatment process.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0007] A risk assessment and early warning system for rehabilitation nursing, comprising:

[0008] The data acquisition module is used to collect the patient's physiological indicators, determine the psychological indicators through some physiological indicators, and output the dual-indicator data;

[0009] The indicator monitoring risk assessment module analyzes the dual indicator data output by the data acquisition module to monitor the patient's physical conditions, evaluates the risk level based on the analysis results, issues warnings based on the risk level, and outputs corresponding medical events and alarm commands;

[0010] The indicator visualization module can simulate the patient's image model, highlight the corresponding patient's diseased parts on the model, and simulate the recovery status of the corresponding diseased parts according to the patient's physiological indicators, so as to visualize the patient's recovery process. The module can be manually controlled by medical personnel to understand the patient's various physical indicators. The indicator visualization module includes:

[0011] The simulated human body material library records the body organ models of different age groups and different populations. It performs intelligent matching based on the various body information of the patient and dispatches the simulation model that is closest to the patient.

[0012] The patient part marking unit is used to highlight the patient part and switch to a dark warning display when an abnormality occurs in the patient part;

[0013] Physiological index synchronization animation simulation unit, which simulates the patient's part into a visual recovery animation by synchronizing physiological indicators;

[0014] The control framework is used to construct a controllable control panel to control the impact of physiological indicators on the simulated human body and dispatch the corresponding control function menu panel;

[0015] The projection module is used to display the visualized patient model and the affected part by holographic projection, so that the patient and his family can understand the patient's physical condition;

[0016] The intelligent interaction module is used to collect the patient's voice to quickly execute instructions, and when the patient's physiological indicators are abnormal, to communicate with the patient to confirm the patient's awake state, and to talk to the awake patient to comfort the patient and calm the patient's emotions. The intelligent interaction module includes:

[0017] An intelligent dialogue unit is used to receive the patient's voice and to have a certain degree of dialogue with the patient, so as to monitor the patient's current physiological state according to the content of the dialogue, so as to issue an alarm command in time when the patient is uncomfortable or when the call fails when the patient is not sleeping;

[0018] The monitoring status determination unit is used to capture the patient's body outline in the monitoring area and determine the patient's current status based on physiological index data. It can determine the patient's movements when the patient is unable to speak and needs help, and issue an alarm command;

[0019] The alarm module is used to receive medical events and alarm commands, and call medical personnel who can solve the medical events.

[0020] Preferably, the data acquisition module includes:

[0021] A physiological index collection unit is connected to an external collection instrument for collecting physiological indexes of patients including blood pressure, heart rate, pulse, etc., so as to collect and count physiological data;

[0022] An indicator statistics unit is used to compile physiological data into tables and graphs;

[0023] The psychological index calculation unit is used to calculate the physiological index data and determine the patient's psychological index during the recovery period according to the uploaded physiological reaction psychological reference data and the corresponding index interval.

[0024] Preferably, the indicator monitoring risk assessment module includes:

[0025] The data analysis module is used to analyze the imported physiological indicators and psychological indicators, obtain the indicator overlap rate by pre-simulating the overlap of the normal physiological indicator curve graph with the physiological indicator curve graph, and set the indicator overlap rate threshold as the judgment standard;

[0026] The plan command module makes judgments based on the preset plan according to the indicator overlap rate, issues a system warning, and changes the alarm command level in a step-by-step manner according to the preset number of plans.

[0027] Preferably, the alarm module comprises:

[0028] An alarm command receiving unit, used for receiving an alarm command and performing an alarm rating;

[0029] The personnel calling unit is used to call medical personnel and select corresponding candidates who can solve the medical incident according to the alarm rating.

[0030] A risk assessment and early warning method for rehabilitation nursing comprises the following steps:

[0031] Step 1: After obtaining various information of the patient, the patient's physiological index data is continuously collected through the data collection module;

[0032] Step 2: Use the indicator monitoring risk assessment module to analyze and process the information collected by the data acquisition module to assess the risk level;

[0033] Step 3: Input various information of the patient, create an image model of the patient through the indicator visualization module, and highlight the corresponding diseased parts of the patient on the model;

[0034] Step 4: When the indicator monitoring risk assessment module detects that the patient's physiological indicators are abnormal, it issues an early warning based on the risk level and outputs a corresponding alarm command;

[0035] Step 5: The alarm module receives the alarm command, and the alarm command is received by the alarm command receiving unit, and the alarm is rated. Then, the corresponding candidate who can solve the medical event is screened according to the alarm rating, and it is checked whether the candidate is idle. When there is no idle candidate, a higher-level medical personnel unit is automatically selected for calling.

[0036] Preferably, in step one, the specific steps of collecting the patient's physiological indicator data are: collecting the patient's physiological indicator data through a physiological indicator collection unit connected to a collection instrument, and compiling the physiological data into tables and graphs through an indicator statistics unit.

[0037] Preferably, the specific steps of assessing the risk level in step 2 are:

[0038] S1. The data analysis module pre-simulates a normal physiological index curve chart according to the collected physiological index data;

[0039] S2. Set the indicator overlap rate threshold S, and divide the values ​​< S into multiple alarm stages;

[0040] S3, overlapping the normal physiological index curve graph with the physiological index curve graph to obtain the index overlap rate D;

[0041] S4. Compare the indicator coincidence rate threshold S with the indicator coincidence rate D. When S≤D, the indicator is judged to be normal; when S>D, the indicator is judged to be abnormal;

[0042] S5. Determine the alarm stage according to the difference of (SD), and set the determination time of 3S. Use the scheme command module to make alarm determination. Determine different numbers and levels of alarm stages, and select different types of alarm command outputs according to preset schemes.

[0043] Preferably, the situation in which the alarm module receives the alarm command in step five also includes: the monitoring status determination unit continuously captures the patient's body contour in the monitoring area, determines the patient's current state according to the physiological indicator data, and when the patient is unable to make a sound or make abnormal movements, captures the patient's moving body contour and movement trajectory, determines the patient's distress signal, and issues an alarm command.

[0044] The present invention provides a risk assessment and early warning method and system for rehabilitation nursing, which has the following beneficial effects:

[0045] 1. The present invention visualizes the patient's recovery process, allowing the patient and his family to intuitively understand the patient's physical condition and rehabilitation process, enhancing their sense of participation and satisfaction with rehabilitation care, helping the patient maintain a positive attitude and promoting rehabilitation.

[0046] 2. The present invention can intelligently call corresponding medical staff according to the alarm rating, reasonably allocate medical resources, ensure that professional medical support can be obtained in time at critical moments, and improve the quality and efficiency of medical services. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 A schematic diagram of a system for risk assessment and early warning of rehabilitation nursing according to the present invention;

[0048] Figure 2 A schematic diagram of a data acquisition module system of a risk assessment and early warning system for rehabilitation nursing of the present invention;

[0049] Figure 3 A schematic diagram of an indicator monitoring risk assessment module system of a risk assessment and early warning system for rehabilitation nursing of the present invention;

[0050] Figure 4 A schematic diagram of an indicator visualization module system of a risk assessment and early warning system for rehabilitation nursing of the present invention;

[0051] Figure 5 A schematic diagram of an intelligent interactive module system of a risk assessment and early warning system for rehabilitation nursing of the present invention;

[0052] Figure 6 This is a schematic diagram of an alarm module system of a risk assessment and early warning system for rehabilitation nursing of the present invention. DETAILED DESCRIPTION

[0053] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. 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.

[0054] Example:

[0055] As one aspect of this application, please see the attached Figure 1 -Attached Figure 6 The embodiment of the present invention provides a risk assessment and early warning system for rehabilitation nursing, comprising:

[0056] The data acquisition module is used to collect the patient's physiological indicators, determine the psychological indicators through some physiological indicators, and output the dual indicator data, including:

[0057] A physiological index collection unit is connected to an external collection instrument for collecting physiological indexes of patients including blood pressure, heart rate, pulse, etc., so as to collect and count physiological data;

[0058] An indicator statistics unit is used to compile physiological data into tables and graphs;

[0059] The psychological index calculation unit is used to calculate the physiological index data and determine the patient's psychological index during the recovery period according to the uploaded physiological reaction psychological reference data and the corresponding index interval.

[0060] The indicator monitoring risk assessment module analyzes the dual indicator data output by the data acquisition module to monitor the patient's physical conditions, evaluates the risk level based on the analysis results, issues warnings based on the risk level, and outputs corresponding medical events and alarm commands, including:

[0061] The data analysis module is used to analyze the imported physiological indicators and psychological indicators, obtain the indicator overlap rate by pre-simulating the overlap of the normal physiological indicator curve graph with the physiological indicator curve graph, and set the indicator overlap rate threshold as the judgment standard;

[0062] The plan command module makes judgments based on the preset plan according to the indicator overlap rate, issues a system warning, and changes the alarm command level in a step-by-step manner according to the preset number of plans.

[0063] The indicator visualization module can simulate the patient's image model and highlight the corresponding patient's affected parts on the model. It can also simulate the recovery status of the corresponding affected parts according to the patient's physiological indicators, so as to visualize the patient's recovery process. It can also be manually controlled by medical staff to understand the patient's various physical indicators, including:

[0064] The simulated human body material library records the body organ models of different age groups and different populations. It performs intelligent matching based on the various body information of the patient and dispatches the simulation model that is closest to the patient.

[0065] The patient part marking unit is used to highlight the patient part and switch to a dark warning display when an abnormality occurs in the patient part;

[0066] Physiological index synchronization animation simulation unit, which simulates the patient's part into a visual recovery animation by synchronizing physiological indicators;

[0067] The control framework is used to construct a controllable control panel to control the impact of physiological indicators on the simulated human body and dispatch the corresponding control function menu panel.

[0068] The projection module is used to display the visualized patient model and the affected part by holographic projection, so that the patient and his family can understand the patient's physical condition;

[0069] The intelligent interaction module is used to collect the patient's voice to quickly execute instructions, and when the patient's physiological indicators are abnormal, the module will talk to the patient to confirm the patient's awake state, and talk to the awake patient to comfort the patient and soothe the patient's emotions, including:

[0070] An intelligent dialogue unit is used to receive the patient's voice and to have a certain degree of dialogue with the patient, so as to monitor the patient's current physiological state according to the content of the dialogue, so as to issue an alarm command in time when the patient is uncomfortable or when the call fails when the patient is not sleeping;

[0071] The monitoring status determination unit is used to capture the patient's body outline in the monitoring area and determine the patient's current status based on physiological indicator data. It can determine the patient's movements when the patient is unable to speak and needs help, and issue an alarm command.

[0072] The alarm module receives medical events and alarm commands and calls medical personnel who can solve the medical events, including:

[0073] An alarm command receiving unit, used for receiving an alarm command and performing an alarm rating;

[0074] The personnel calling unit is used to call medical personnel and select corresponding candidates who can solve the medical incident according to the alarm rating.

[0075] Based on the above-mentioned risk assessment and early warning system for rehabilitation nursing, as another aspect of the present application, a risk assessment and early warning method for rehabilitation nursing includes the following steps:

[0076] Step 1: After obtaining various information of the patient, the data collection module continuously collects the patient's physiological index data, wherein the specific steps of collecting the patient's physiological index data are: collecting the patient's physiological index data through a physiological index collection unit connected to a collection instrument, and compiling the physiological data into tables and curves through an index statistics unit;

[0077] Step 2: Use the indicator monitoring risk assessment module to analyze and process the information collected by the data acquisition module and assess the risk level. The specific steps are as follows:

[0078] S1. The data analysis module pre-simulates a normal physiological index curve chart according to the collected physiological index data;

[0079] S2. Set the indicator overlap rate threshold S, and divide the values ​​< S into multiple alarm stages;

[0080] S3, overlapping the normal physiological index curve graph with the physiological index curve graph to obtain the index overlap rate D;

[0081] S4. Compare the indicator coincidence rate threshold S with the indicator coincidence rate D. When S≤D, the indicator is judged to be normal; when S>D, the indicator is judged to be abnormal;

[0082] S5. According to the difference of (SD), the alarm stage is determined, and the determination time is set to 3S. The scheme command module is used to make alarm determinations. Different numbers and levels of alarm stages are determined, and different types of alarm command outputs are selected according to the preset schemes.

[0083] Step 3: Input various information of the patient, create an image model of the patient through the indicator visualization module, and highlight the corresponding diseased parts of the patient on the model;

[0084] Step 4: When the indicator monitoring risk assessment module detects that the patient's physiological indicators are abnormal, it issues an early warning based on the risk level and outputs a corresponding alarm command;

[0085] Step 5: The alarm module receives the alarm command, receives the alarm command through the alarm command receiving unit, and performs alarm rating. Then, according to the alarm rating, the corresponding candidate who can solve the medical event is screened, and the candidate is checked to see if he is idle. If there is no idle candidate, a higher-level medical personnel unit is automatically selected for calling. The alarm module receives the alarm command in the following cases: the monitoring status determination unit continuously captures the body contour of the patient in the monitoring area, determines the patient's current state according to the physiological index data, and when the patient is unable to make a sound and makes an abnormal movement, captures the body contour and movement trajectory of the patient's movement, determines the patient's distress signal, and issues an alarm command.

[0086] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A risk assessment and early warning system for rehabilitation nursing, characterized in that: include: The data acquisition module is used to collect the patient's physiological indicators, determine the psychological indicators through some physiological indicators, and output the dual-indicator data; The indicator monitoring risk assessment module analyzes the dual indicator data output by the data acquisition module to monitor the patient's physical conditions, evaluates the risk level based on the analysis results, issues warnings based on the risk level, and outputs corresponding medical events and alarm commands; The indicator visualization module can simulate the patient's image model, highlight the corresponding patient's diseased parts on the model, and simulate the recovery status of the corresponding diseased parts according to the patient's physiological indicators, so as to visualize the patient's recovery process. The module can be manually controlled by medical personnel to understand the patient's various physical indicators. The indicator visualization module includes: The simulated human body material library records the body organ models of different age groups and different populations. It performs intelligent matching based on the various body information of the patient and dispatches the simulation model that is closest to the patient. The patient part marking unit is used to highlight the patient part and switch to a dark warning display when an abnormality occurs in the patient part; Physiological index synchronization animation simulation unit, which simulates the patient's part into a visual recovery animation by synchronizing physiological indicators; The control framework is used to construct a controllable control panel to control the impact of physiological indicators on the simulated human body and dispatch the corresponding control function menu panel; The projection module is used to display the visualized patient model and the affected part by holographic projection, so that the patient and his family can understand the patient's physical condition; The intelligent interaction module is used to collect the patient's voice to quickly execute instructions, and when the patient's physiological indicators are abnormal, to communicate with the patient to confirm the patient's awake state, and to talk to the awake patient to comfort the patient and calm the patient's emotions. The intelligent interaction module includes: An intelligent dialogue unit is used to receive the patient's voice and to have a certain degree of dialogue with the patient, so as to monitor the patient's current physiological state according to the content of the dialogue, so as to issue an alarm command in time when the patient is uncomfortable or when the call fails when the patient is not sleeping; The monitoring status determination unit is used to capture the patient's body outline in the monitoring area and determine the patient's current status based on physiological index data. It can determine the patient's movements when the patient is unable to speak and needs help, and issue an alarm command; The alarm module is used to receive medical events and alarm commands, and call medical personnel who can solve the medical events.

2. A risk assessment and early warning system for rehabilitation nursing according to claim 1, characterized in that: The data acquisition module comprises: A physiological index collection unit is connected to an external collection instrument for collecting physiological indexes of patients including blood pressure, heart rate, pulse, etc., so as to collect and count physiological data; An indicator statistics unit is used to compile physiological data into tables and graphs; The psychological index calculation unit is used to calculate the physiological index data and determine the patient's psychological index during the recovery period according to the uploaded physiological reaction psychological reference data and the corresponding index interval.

3. A risk assessment and early warning system for rehabilitation nursing according to claim 1, characterized in that: The indicator monitoring risk assessment module includes: The data analysis module is used to analyze the imported physiological indicators and psychological indicators, obtain the indicator overlap rate by pre-simulating the overlap of the normal physiological indicator curve graph with the physiological indicator curve graph, and set the indicator overlap rate threshold as the judgment standard; The plan command module makes judgments based on the preset plan according to the indicator overlap rate, issues a system warning, and changes the alarm command level in a step-by-step manner according to the preset number of plans.

4. A risk assessment and early warning system for rehabilitation nursing according to claim 1, characterized in that: The alarm module comprises: An alarm command receiving unit, used for receiving an alarm command and performing an alarm rating; The personnel calling unit is used to call medical personnel and select the corresponding person who can solve the medical incident according to the alarm rating.

5. A risk assessment and early warning method for rehabilitation nursing, using a risk assessment and early warning system for rehabilitation nursing as claimed in any one of claims 1 to 4, characterized in that: The following steps are involved: Step 1: After obtaining various information of the patient, the patient's physiological index data is continuously collected through the data collection module; Step 2: Use the indicator monitoring risk assessment module to analyze and process the information collected by the data acquisition module to assess the risk level; Step 3: Input various information of the patient, create an image model of the patient through the indicator visualization module, and highlight the corresponding diseased parts of the patient on the model; Step 4: When the indicator monitoring risk assessment module detects that the patient's physiological indicators are abnormal, it issues an early warning based on the risk level and outputs a corresponding alarm command; Step 5: The alarm module receives the alarm command, and the alarm command is received by the alarm command receiving unit, and the alarm is rated. Then, the corresponding candidate who can solve the medical event is screened according to the alarm rating, and it is checked whether the candidate is idle. When there is no idle candidate, a higher-level medical personnel unit is automatically selected for calling.

6. A risk assessment and early warning method for rehabilitation nursing according to claim 5, characterized in that: In the step 1, the specific steps of collecting the patient's physiological index data are: collecting the patient's physiological index data through a physiological index collection unit connected to a collection instrument, and compiling the physiological data into tables and curve graphs through an index statistics unit.

7. A risk assessment and early warning method for rehabilitation nursing according to claim 5, characterized in that: The specific steps for assessing the risk level in step 2 are: S1. The data analysis module pre-simulates a normal physiological index curve chart according to the collected physiological index data; S2. Set the indicator overlap rate threshold S, and divide the values ​​< S into multiple alarm stages; S3, overlapping the normal physiological index curve graph with the physiological index curve graph to obtain the index overlap rate D; S4. Compare the indicator coincidence rate threshold S with the indicator coincidence rate D. When S≤D, the indicator is judged to be normal; when S>D, the indicator is judged to be abnormal; S5. Determine the alarm stage according to the difference of (SD), and set the determination time of 3S. Use the scheme command module to make alarm determination. Determine different numbers and levels of alarm stages, and select different types of alarm command outputs according to preset schemes.

8. A risk assessment and early warning method for rehabilitation nursing according to claim 5, characterized in that: The situation in which the alarm module receives the alarm command in step five also includes: the monitoring status determination unit continuously captures the patient's body contour in the monitoring area, determines the patient's current state according to the physiological indicator data, and when the patient is unable to make a sound or make an abnormal movement, captures the patient's body contour and movement trajectory, determines the patient's distress signal, and issues an alarm command.

Images