Intelligent reminding system for preventing stress injury of patients with acute and critical diseases and operation method

Abstract

The invention discloses an intelligent reminding system for preventing stress injury of an acute and critical patient and an operation method, a nursing benchmark management module is used for establishing and storing an individualized nursing benchmark for a target patient, and the individualized nursing benchmark at least comprises a taboo pressed area and / or a target pressure distribution reference template; the data acquisition module is used for acquiring real-time pressure distribution data output by the mattress sensor array; and the reminding output module is used for generating and outputting graded reminding information according to the taboo compression judgment result, the target template matching degree and the nursing operation effectiveness evaluation result. According to the intelligent reminding system for preventing the stress injury of the acute and critical patient and the operation method, by introducing an individualized nursing reference, real-time analysis and a nursing operation effect verification mechanism, graded reminding of stress injury risks and objective evaluation of nursing operation effectiveness are realized; therefore, the pertinence and reliability of nursing reminding are improved.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, specifically to an intelligent reminder system and its operation method for preventing pressure injuries in critically ill patients. Background Technology

[0002] Pressure injury is a common adverse event in the care of critically ill and long-term bedridden patients. Its occurrence is closely related to factors such as prolonged pressure on specific areas of the patient's body and restricted blood circulation. Current clinical nursing practices typically reduce the risk of localized pressure on the patient's body by regularly turning the patient, adjusting their position, or using pressure-relieving aids. Regarding information-based nursing equipment, some existing technologies use mattress sensors or pressure sensing devices to monitor the pressure distribution of patients in bed and alert nursing staff when the detected pressure exceeds a preset threshold, thus assisting in intervention. These technologies, to some extent, reduce the risks caused by continuous pressure.

[0003] For example, in the prior art, a reminder method and device for preventing pressure ulcers, with publication number CN114532995B, is described. This method establishes a pressure ulcer formation reminder model based on historical pressure ulcer formation data, stores the model in a newly created storage space, and provides an external calling interface. The historical pressure ulcer formation data is divided into a training set and a test set. The model is trained using the training set to obtain pressure ulcer formation coefficients. The model is tested using the test set and the pressure ulcer formation coefficients. Real-time monitoring data is acquired and input into the model to obtain the time A required for the monitored patient to develop a pressure ulcer. Based on the time A required for the monitored patient to develop a pressure ulcer and the current time, a reminder time is determined. This enables automatic reminders to medical staff to help patients turn over, preventing pressure ulcer formation.

[0004] The aforementioned existing technologies mostly use uniform pressure thresholds or fixed time intervals as the basis for alerts, often failing to adequately consider individual patient differences. For example, different patients may have special areas that cannot tolerate continuous pressure, such as wounds or indwelling catheters. These areas have a significantly lower pressure tolerance than other areas, and whether the nursing procedure itself truly improves the pressure distribution usually still relies on the nurse's experience. Existing systems often simply reset the timer or stop the alarm after the nursing procedure occurs, without systematically analyzing the changes in pressure before and after the procedure. Summary of the Invention

[0005] The purpose of this invention is to provide an intelligent reminder system and its operating method for preventing pressure injuries in critically ill patients. This addresses the problem that existing technologies often use uniform pressure thresholds or fixed time intervals as the basis for reminders, typically failing to adequately consider individual patient differences. For example, different patients may have special areas that cannot tolerate continuous pressure, such as wounds or indwelling tubes. These areas have significantly lower pressure tolerance than other areas, and whether the nursing procedure itself truly improves the pressure distribution usually still relies on the experience and judgment of the nursing staff. Existing systems often simply reset the timer or stop the alarm after a nursing procedure, without systematically analyzing the changes in pressure before and after the procedure.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an intelligent reminder system for preventing pressure injuries in critically ill patients, comprising the following modules: Nursing baseline management module: used to establish and store individualized nursing baselines for target patients, wherein the individualized nursing baselines include at least contraindicated pressure areas and / or target pressure distribution reference templates; Data acquisition module: used to acquire real-time pressure distribution data output by the mattress sensor array; Deviation analysis module: used to compare the real-time pressure distribution data with the individualized care baseline to output the contraindication pressure judgment result and / or target template matching degree; Operation feedback module: After a nursing operation is detected, it is used to evaluate the changes in the contraindication pressure judgment results and / or target template matching degree before and after the nursing operation, so as to generate nursing operation effectiveness evaluation results; The reminder output module is used to generate and output graded reminder information based on the contraindication pressure determination result, the target template matching degree, and the nursing operation effectiveness evaluation result.

[0007] Preferably, the individualized care baseline is stored in the form of a patient record and includes at least: A set of forbidden pressure zones marked by medical staff through a graphical human body interface, where each forbidden pressure zone is associated with zone identification information and a maximum permissible pressure threshold; Select a target pressure distribution reference template from the body position template library and allow healthcare professionals to make local adjustments.

[0008] Preferably, the deviation analysis module is configured to prioritize the execution of forbidden pressure determination. When the real-time pressure corresponding to the forbidden pressure area exceeds the maximum allowable pressure threshold, a reminder message related to the forbidden pressure area is generated first. If the forbidden pressure reminder is not triggered, the target template matching degree is calculated and output based on the target pressure distribution reference template.

[0009] Preferably, in the process of calculating the target template matching degree, in order to eliminate the interference of the forbidden pressure area on the overall pressure distribution assessment and to focus on assessing the rationality of the pressure distribution, the data corresponding to the forbidden pressure area is masked or downweighted, and the target template matching degree is generated based on the pressure distribution characteristics of the remaining area.

[0010] Preferably, the operation feedback module is configured to detect the occurrence of nursing operations based on changes in real-time pressure distribution data, and enter a stability determination process after detecting a nursing operation to determine that the nursing operation has been completed.

[0011] Preferably, after the nursing operation is completed, the operation feedback module evaluates the change in the target template matching degree before and after the nursing operation; when the change does not meet the preset improvement target, it generates corrective reminder information to prompt the nursing operation to be readjusted.

[0012] Preferably, the operation feedback module is configured to record the changes in the matching degree between the nursing operation type and the corresponding target template, and to form an operation-response relationship record for the patient, for reference when reminding patients of subsequent nursing operations.

[0013] Preferably, the reminder output module records the comparison results of the triggered reminder while outputting reminder information, and stores the reminder information and the corresponding comparison results as a nursing process record for use in nursing quality retrospective or statistical analysis.

[0014] An operating method for running an intelligent reminder system includes the following steps: Step 1: Establish and store individualized care baselines for the target patient, which include at least contraindicated pressure areas and / or a target pressure distribution reference template; Step 2: Collect real-time pressure distribution data of the patient while in bed; Step 3: Compare the real-time pressure distribution data with the individualized care baseline, output the contraindication pressure judgment result and / or target template matching degree, and generate reminder information based on the result; Step 4: After a nursing procedure is detected, assess the changes in the contraindication pressure determination results and / or target template matching degree before and after the nursing procedure, and generate reminder information related to the effectiveness of the nursing procedure based on the assessment results.

[0015] Preferably, after a nursing procedure is detected, the step of assessing the effectiveness of the nursing procedure includes: After the nursing procedure is completed, the target template matching degree before and after the nursing procedure is obtained, and the nursing procedure is judged to have achieved the preset improvement goal based on the change of the target template matching degree.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: the intelligent reminder system and operation method for preventing pressure injury in critically ill patients, by introducing individualized nursing benchmarks, real-time analysis and nursing operation effect verification mechanisms, realizes graded reminders of pressure injury risk and objective evaluation of the effectiveness of nursing operations, thereby improving the pertinence and reliability of nursing reminders, as shown in the following details.

[0017] 1. By establishing individualized nursing benchmarks for different patients, and using contraindicated pressure areas and target pressure distribution reference templates as the basis for judgment, the system can distinguish between critical high-risk pressure areas and general pressure areas, avoiding the generalization problem caused by uniform thresholds or uniform time intervals in existing technologies, thereby improving the response priority of nursing reminders to critical risk areas; Furthermore, by detecting changes in pressure distribution and combining them with a stability determination process, the system identifies the moment when a nursing procedure is completed, and on this basis, assesses the changes in pressure state before and after the nursing procedure. This enables the system to distinguish whether a nursing procedure has occurred and whether the nursing procedure has truly improved the pressure distribution state.

[0018] 2. After the nursing procedure is completed, an effectiveness assessment process is introduced. When the nursing procedure does not achieve the preset improvement goal, corrective reminder information is generated to prompt the nursing staff to further adjust the position or support method, so that the nursing intervention process forms a closed-loop feedback, thereby improving the controllability and error correction ability of the nursing procedure. Furthermore, the evaluation results of multiple nursing procedures are recorded, and a record of the operation and response relationship is formed. This enables the system to identify nursing procedures that have a more stable improvement effect on specific patients, and to add individualized optimization prompts to subsequent nursing reminders, thereby gradually adapting to individual differences in patients during long-term care. Attached Figure Description

[0019] Figure 1 Flowchart for establishing the individualized nursing baseline of this invention; Figure 2 This is a flowchart of the nursing operation detection and completion determination process of the present invention; Figure 3 This is a flowchart of the nursing operation effectiveness assessment and reminder process of the present invention; Figure 4 This is a flowchart illustrating the individualized optimization reminder process of the present invention. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] Please see Figures 1-4 The present invention provides the following technical solution: Example 1: In the bedridden care of critically ill patients, patients often have body parts that cannot be continuously pressured, such as wounds, bony prominences, or tubes. At the same time, the pressure distribution of different patients in the same position varies significantly. Existing technologies often use uniform turning time or a single pressure threshold for reminders, failing to distinguish the priority between key pressure-risk areas and the overall pressure distribution. This can easily lead to untimely responses to contraindicated pressure areas or the influence of local abnormal pressure on the overall assessment results. This example aims to improve the pertinence and reliability of nursing reminders by introducing individualized nursing benchmarks and clarifying the processing order between contraindicated pressure determination and overall pressure distribution assessment during pressure state analysis.

[0022] Specifically, it includes: a nursing baseline management module: used to establish and store individualized nursing baselines for target patients, which at least include contraindicated pressure areas and / or target pressure distribution reference templates; a data acquisition module: used to acquire real-time pressure distribution data output by the mattress sensor array; a deviation analysis module: used to compare the real-time pressure distribution data with the individualized nursing baselines to output contraindicated pressure judgment results and / or target template matching degree; an operation feedback module: used to evaluate the changes in contraindicated pressure judgment results and / or target template matching degree before and after a nursing operation is detected to generate a nursing operation effectiveness assessment result; and a reminder output module: used to generate and output graded reminder information based on the contraindicated pressure judgment results, target template matching degree, and nursing operation effectiveness assessment results. Individualized care benchmarks are stored in the form of patient records and include at least: a set of contraindicated pressure areas marked by healthcare professionals through a graphical human body interface, where each contraindicated pressure area is associated with area identification information and a maximum permissible pressure threshold; a target pressure distribution reference template selected from a position template library and allowing healthcare professionals to make local adjustments; a deviation analysis module configured to prioritize contraindicated pressure determination, and when the real-time pressure corresponding to a contraindicated pressure area exceeds the maximum permissible pressure threshold, a reminder message related to the contraindicated pressure area is generated first; and if no contraindicated pressure reminder is triggered, the target template matching degree is calculated and output based on the target pressure distribution reference template. During the calculation of the target template matching degree, in order to eliminate the interference of contraindicated pressure areas on the overall pressure distribution assessment and to focus on assessing the rationality of the pressure distribution, the data corresponding to the contraindicated pressure areas are masked or downweighted, and the target template matching degree is generated based on the pressure distribution characteristics of the remaining areas.

[0023] In this embodiment, the system first establishes individualized nursing baselines for the target patient through the nursing baseline management module. Medical staff use the graphical human body interface provided by the nursing terminal to mark body parts that cannot withstand continuous pressure as contraindicated pressure areas on the human body diagram according to the patient's current nursing risk status, and set the maximum allowable pressure threshold for each contraindicated pressure area. At the same time, medical staff select a target pressure distribution reference template that matches the patient's nursing needs from the body position template library, and adjust the local pressure reference range in the selected template according to nursing experience to form the patient's exclusive individualized nursing baseline.

[0024] During the patient's bed rest, the data acquisition module continuously collects real-time pressure distribution data output by the mattress sensor array and transmits the real-time pressure distribution data to the deviation analysis module.

[0025] When analyzing real-time pressure distribution data, the deviation analysis module prioritizes the pressure conditions at the locations corresponding to forbidden pressure zones. When the real-time pressure at any location corresponding to a forbidden pressure zone exceeds its maximum allowable pressure threshold, the module directly outputs the forbidden pressure determination result and uses this result as the primary basis for judging the current nursing status.

[0026] If the contraindication to pressure is not triggered, the deviation analysis module will then assess the patient’s current overall pressure distribution status based on the target pressure distribution reference template to generate the target template matching degree.

[0027] In the process of assessing the overall pressure distribution, in order to avoid the abnormal pressure values ​​at the locations corresponding to the forbidden pressure areas from interfering with the overall assessment results, the data corresponding to the forbidden pressure areas are not included in the calculation of the target template matching degree or are included in the calculation with reduced weight, so that the target template matching degree mainly reflects the rationality of the pressure distribution in the non-forbidden areas.

[0028] The reminder output module generates reminder information corresponding to the current nursing status based on the contraindication pressure judgment result and / or the target template matching degree, thereby enabling priority response to the risk of contraindication pressure during the nursing process, and further assessing and prompting the overall pressure distribution status after the risk of contraindication pressure is relieved.

[0029] In this embodiment: Individualized nursing benchmarks refer to a set of reference information established for a single patient to judge the nursing status, the content of which is manually set and stored by medical staff.

[0030] Contraindicated pressure areas are patient body parts that are not allowed to be subjected to continuous pressure during care. These areas are associated with the maximum permissible pressure threshold.

[0031] The target pressure distribution reference template is reference data used to describe the pressure distribution state under a specific nursing position.

[0032] The target template matching degree is used to characterize the degree of consistency between the real-time pressure distribution state and the target pressure distribution reference template.

[0033] Scenario simulation description: Taking patient "Zhang San" as an example, Zhang San was admitted to the intensive care unit due to heart failure and had a stage I pressure ulcer on his sacrum and coccyx.

[0034] In step A (benchmark establishment), the nurse marks Zhang San's sacrum and coccyx as a contraindicated pressure area through the human body graphical interface on the tablet computer and sets its maximum allowable pressure threshold to 25. At the same time, the nurse selects "heart failure patient semi-recumbent position (45°)" as the target pressure distribution reference template from the position template library.

[0035] In step B (real-time monitoring and priority determination), after Zhang San lies down on the hospital bed, the data acquisition module detects that the real-time pressure at the corresponding position of the sacrum and coccyx reaches 30. The deviation analysis module first determines the forbidden pressure area, confirms that the pressure exceeds the maximum allowable pressure threshold, and immediately outputs the forbidden pressure determination result. The reminder output module generates a first-level reminder message.

[0036] In step C (overall assessment after the removal of contraindication risk), the nurse raised the bed back to 45° and placed a pressure-reducing pad under Zhang San's buttocks. After the system detected the change in pressure distribution and entered a stable state, the deviation analysis module performed analysis again and confirmed that the pressure in the contraindicated pressure area had dropped to 18, and the contraindicated pressure judgment was not triggered. On this basis, the deviation analysis module further evaluated the overall pressure distribution state based on the target pressure distribution reference template, and did not participate in or reduced the weight of the corresponding data of the sacrum and coccyx when calculating the target template matching degree.

[0037] In step D (reminder output), the reminder output module outputs reminder information corresponding to the current nursing status based on the contraindication pressure judgment result and the target template matching degree, providing a basis for subsequent nursing operations.

[0038] Example 2: In the actual nursing process of critically ill patients, nurses often need to frequently turn them over, make minor adjustments to their position, or adjust pressure-reducing aids. However, existing technologies usually regard "nursing operation has occurred" and "nursing effect has been achieved" as the same result, lacking an objective judgment mechanism for whether the nursing operation has truly improved the pressure state. In this case, the nursing operation may fail to effectively reduce the pressure on key parts due to insufficient adjustment, positional rebound, or inadequate support, but the system still resets the timer or stops the reminder, leading to ineffective nursing being misjudged as effective nursing. This example aims to solve the problem that it is difficult for the system to automatically identify and evaluate whether the nursing operation has been completed and whether the nursing operation is effective.

[0039] Specifically, the operation feedback module is configured to detect the occurrence of nursing operations based on changes in real-time pressure distribution data, and enter a stability determination process after detecting a nursing operation to determine that the nursing operation is completed. After the nursing operation is completed, the operation feedback module evaluates the change in the target template matching degree before and after the nursing operation; when the change does not meet the preset improvement target, it generates corrective reminder information to prompt the readjustment of the nursing operation.

[0040] In this embodiment, based on continuous real-time pressure monitoring, the system introduces an automatic detection and evaluation mechanism for nursing operations. When the data acquisition module detects a significant change in the real-time pressure distribution data output by the mattress sensor array within a short period of time, the operation feedback module identifies this change as a candidate event for nursing operations. After a candidate event occurs, the operation feedback module enters the stability determination process. By continuously monitoring the fluctuation of real-time pressure distribution data, it determines whether the pressure distribution tends to stabilize within a preset time period. When the pressure distribution change range remains within the allowable range within the preset time period, the system determines that a nursing operation is completed and uses the completion time as the starting point for subsequent evaluation. After the nursing procedure is completed, the operation feedback module enters the evaluation time window. Within this time window, the target template matching degree before and after the completion of the nursing procedure is obtained, and the change in matching degree is calculated. The operation feedback module determines whether the nursing procedure has achieved the preset improvement goal based on the change in matching degree: when the change in matching degree meets the improvement goal, the system determines that the nursing procedure is a valid procedure; when the change in matching degree does not meet the improvement goal, the system determines that the nursing procedure is an invalid procedure. If a nursing procedure is deemed invalid, the reminder output module generates a corrective reminder message to prompt the nursing staff to readjust the current position, support method, or arrangement of pressure-relieving devices. If a nursing procedure is deemed valid, the system records the corresponding assessment result and enters the monitoring state for the next nursing cycle. Through the above process, the system can distinguish between whether a nursing operation is "completed" and whether it is "effective", thus avoiding misjudgments of nursing effects based solely on the occurrence of the nursing action itself.

[0041] In this embodiment, nursing operation refers to actions performed by nursing staff on the patient, such as turning over, adjusting body position, or adjusting pressure-relieving aids; candidate event refers to an event that is identified by the system as a possible nursing operation due to a significant change in real-time pressure distribution data; stability determination process refers to the monitoring process used to determine whether the real-time pressure distribution has entered a stable state after the occurrence of a candidate event; evaluation time window refers to the time interval used to obtain the effect of the nursing operation after its completion; improvement target refers to the matching degree change standard used to determine whether the nursing operation has achieved the expected effect.

[0042] Scenario simulation description: Taking patient "Li Si" as an example, Li Si was admitted to the intensive care unit due to severe pneumonia and has been bedridden for a long time, which poses a risk of pressure on both scapular regions.

[0043] In step A (operation occurrence detection), the nurse performs a turning operation on Li Si. The system detects that the pressure distribution of his mattress changes significantly in a short period of time, identifies this change as a candidate event for nursing operation, and enters the stability determination process.

[0044] In step B (operation completion determination), the system continuously monitors the changes in pressure distribution. If the pressure distribution remains stable within a preset time period, the system determines that the turning operation is complete and starts the evaluation time window.

[0045] In step C (operation effectiveness assessment), the system compares the target template matching degree before and after the turning operation. It finds that the matching degree only increased from 50% to 58%, which did not reach the preset improvement target. Based on this, the system determines that the nursing operation is invalid and generates a corrective reminder through the reminder output module, prompting the nurse to suggest that the current position has limited decompression effect on the scapular region and to readjust the position or check the support method.

[0046] In step D ( readjustment and confirmation), the nurse made a second minor adjustment to Li Si's position according to the prompts. After the system detected the change in pressure distribution again and completed the stability determination, the assessment found that the target template matching degree improved to 75%, achieving the improvement target. The system determined that the nursing operation was an effective operation and recorded the corresponding assessment results.

[0047] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An intelligent reminder system for preventing pressure injuries in critically ill patients, characterized in that: It includes the following modules: Nursing baseline management module: used to establish and store individualized nursing baselines for target patients, wherein the individualized nursing baselines include at least contraindicated pressure areas and / or target pressure distribution reference templates; Data acquisition module: used to acquire real-time pressure distribution data output by the mattress sensor array; Deviation analysis module: used to compare the real-time pressure distribution data with the individualized care baseline to output the contraindication pressure judgment result and / or target template matching degree; Operation feedback module: After a nursing operation is detected, it is used to evaluate the changes in the contraindication pressure judgment results and / or target template matching degree before and after the nursing operation, so as to generate nursing operation effectiveness evaluation results; The reminder output module is used to generate and output graded reminder information based on the contraindication pressure determination result, the target template matching degree, and the nursing operation effectiveness evaluation result.

2. The system according to claim 1, characterized in that: The individualized care benchmarks are stored in the form of patient records and include at least: A set of forbidden pressure zones marked by medical staff through a graphical human body interface, where each forbidden pressure zone is associated with zone identification information and a maximum permissible pressure threshold; Select a target pressure distribution reference template from the body position template library and allow healthcare professionals to make local adjustments.

3. The system according to claim 1, characterized in that: The deviation analysis module is configured to prioritize the execution of forbidden pressure determination. When the real-time pressure corresponding to the forbidden pressure area exceeds the maximum allowable pressure threshold, it prioritizes the generation of reminder information related to the forbidden pressure area. Without triggering the taboo pressure warning, the target template matching degree is calculated and output based on the target pressure distribution reference template.

4. The system according to claim 1, characterized in that: In the process of calculating the target template matching degree, in order to eliminate the interference of the forbidden pressure area on the overall pressure distribution assessment and to focus on assessing the rationality of the pressure distribution, the data corresponding to the forbidden pressure area is masked or downweighted, and the target template matching degree is generated based on the pressure distribution characteristics of the remaining area.

5. The system according to claim 1, characterized in that: The operation feedback module is configured to detect the occurrence of nursing operations based on changes in real-time pressure distribution data, and enter a stability determination process after detecting a nursing operation to determine that the nursing operation has been completed.

6. The system according to claim 1, characterized in that: After a nursing operation is completed, the operation feedback module evaluates the change in the target template matching degree before and after the operation. When the change does not meet the preset improvement target, it generates corrective reminder information to prompt the nursing operation to be readjusted.

7. The system according to claim 1, characterized in that: The operation feedback module is configured to record changes in the matching degree between nursing operation types and corresponding target templates, and to form an operation-response relationship record for the patient, which can be used as a reference for subsequent nursing operation reminders.

8. The system according to claim 1, characterized in that: The reminder output module outputs reminder information while recording the comparison results that trigger the reminder, and stores the reminder information and the corresponding comparison results as a nursing process record for use in nursing quality retrospective or statistical analysis.

9. A method of operation for running the intelligent reminder system according to any one of claims 1-8, characterized in that: It includes the following steps: Step 1: Establish and store individualized care baselines for the target patient, which include at least contraindicated pressure areas and / or a target pressure distribution reference template; Step 2: Collect real-time pressure distribution data of the patient while in bed; Step 3: Compare the real-time pressure distribution data with the individualized care baseline, output the contraindication pressure judgment result and / or target template matching degree, and generate reminder information based on the result; Step 4: After a nursing procedure is detected, assess the changes in the contraindication pressure determination results and / or target template matching degree before and after the nursing procedure, and generate reminder information related to the effectiveness of the nursing procedure based on the assessment results.

10. The operating method according to claim 9, characterized in that: After a nursing procedure is detected, the steps for assessing the effectiveness of the nursing procedure include: After the nursing procedure is completed, the target template matching degree before and after the nursing procedure is obtained, and the nursing procedure is judged to have achieved the preset improvement goal based on the change of the target template matching degree.

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