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CN-122024994-A - Incontinence care closed-loop system and method based on perceived service mapping

CN122024994ACN 122024994 ACN122024994 ACN 122024994ACN-122024994-A

Abstract

The invention discloses an incontinence care closed-loop system and a method based on perceived service mapping, the intelligent nursing system comprises a sensing acquisition module, a data analysis module, a service mapping module, a service execution module, a nursing rule base, a database, an AI model, a feedback loop and a nursing staff intelligent terminal. The system directly converts the sensing data into a care service instruction through sensing service mapping, realizes automatic judgment and intelligent scheduling of excrement monitoring, body position monitoring, diaper replacement and turning care, supports multi-task linkage execution, task priority, priority of responsible nursing staff, merging scheduling and AI optimization, and adapts to multiple occasions of home, pension and entrance care by adopting an edge-cloud architecture. The invention realizes the automatic closed loop of the incontinence care full flow, improves the care timeliness, the care efficiency and the care safety, reduces the labor cost and the disturbance to the cared person.

Inventors

  • HUANG XINKAI
  • CHEN ZHEN
  • XU FEI

Assignees

  • 一代科技有限公司

Dates

Publication Date
20260512
Application Date
20260415

Claims (20)

  1. 1. An incontinence care closed loop system based on perceived service mapping, comprising: The sensing acquisition module (101) is used for acquiring sensing original data related to incontinence scenes; The data analysis module (102) is connected with the sensing acquisition module (101) and is used for processing the sensing original data and generating standardized sensing characteristic data; the service mapping module (103) is connected with the data analysis module (102) and the care rule base (105) and is used for matching the standardized sensing characteristic data with rules in the care rule base (105) and personalized data of a cared person based on the perceived service mapping relation to generate a service execution instruction; The service execution module (104) is connected with the service mapping module (103) and is used for pushing the service execution instruction to the intelligent nursing staff terminal (107) and receiving execution feedback information; The system realizes full closed loop automatic operation from data acquisition, instruction generation to execution feedback through cooperation of the modules.
  2. 2. The system of claim 1, wherein the processing of the sensory raw data by the data parsing module (102) includes at least one of preprocessing, format normalization conversion, and scene feature extraction.
  3. 3. The system of claim 1, further comprising a care rules repository (105), the care rules repository (105) being a evidence-based care database storing standardized care rules formed based on clinical evidence and industry specifications.
  4. 4. A system according to claim 3, characterized in that in the care rules repository (105) different permissible exposure periods are provided for different faecal exposure levels, wherein a higher exposure level corresponds to a shorter permissible exposure period.
  5. 5. The system of claim 1, further comprising a caretaker database (106) for storing caretaker personalization data, the service mapping module (103) and the service execution module (104) each being communicatively coupled to the caretaker database (106) for reading personalization data and writing execution feedback data.
  6. 6. The system of claim 1, wherein the perceived service map is a scenerized mapping from sensory characteristic data to care service instructions, and the service map module enables automatic matching of incontinence status to corresponding care operations based on the mapping.
  7. 7. The system of claim 1, wherein the service mapping module is further configured to filter against caretaking triggering conditions to eliminate conditions that do not require caretaking intervention to reduce redundant caretaking operations and ineffective interventions.
  8. 8. The system of claim 1, wherein the executive feedback comprises manual executive feedback input by a carer intelligent terminal (107) and automatic feedback formed by automatically identifying the service execution completion status and the care effect by collecting the status change data of the care trunk prognosis through a sensing collection module (101).
  9. 9. The system according to claim 1, wherein the sensing acquisition module (101) comprises a faeces monitoring unit adapted to a pant diaper for real time acquisition of quantitative faeces exposure information of bedridden persons; the data analysis module (102) processes the excrement exposure information to obtain excrement exposure data and stores the excrement exposure data into a cared person database (106); The service mapping module (103) is configured to determine diaper changing time and generate corresponding changing instructions according to the excrement exposure data and combining the individualized data of the attendees with the nursing standards in the evidence-based nursing database.
  10. 10. The system of claim 9, wherein the fecal exposure data comprises at least one of a current fecal exposure level, a single exposure period, a cumulative exposure level, and a cumulative exposure period.
  11. 11. The system according to claim 1, wherein the sensing acquisition module (101) further comprises a posture monitoring unit for acquiring posture data of the bedridden person in real time, the posture data comprising a bedridden posture and a duration of a corresponding posture; the data analysis module (102) analyzes the body position data and synchronously stores the body position data into a attended database (106); The service mapping module (103) is configured to intelligently judge turning-over time and generate corresponding turning-over service execution instructions according to the body position data and combining the individual data of the attendees and the care standards in the care rule base (105).
  12. 12. The system of claim 1, wherein the service mapping module (103) is configured to further determine whether the synchronous execution condition is satisfied when it is determined that the diaper replacement and the turn-over operation are required to be executed, and if so, generate a linkage care instruction for executing the two operations in combination.
  13. 13. The system of claim 1, further comprising a caregiver database (108); The service execution module (104) is in communication connection with the nursing staff database (108) and is used for acquiring the on-duty state, the workload and the task execution state of the nursing staff, screening the nursing staff in the order-available state and directionally pushing the nursing task order to the corresponding intelligent terminal (107) of the nursing staff; The service execution module (104) is also configured to receive execution feedback from the caregivers and to synchronously update the execution results to the caregivers database (108).
  14. 14. The system of claim 13, wherein the service execution module (104) is configured with a task scheduling mechanism, and the mechanism is configured to combine multiple tasks of the same attendee into one instruction push if a combination condition is met, and push the multiple tasks sequentially according to a priority order if the combination condition is not met.
  15. 15. The system of claim 14, wherein the task scheduling mechanism is further configured to provide task priority discrimination, to allow a low priority routine care task to be suspended for priority execution when an urgent care task is generated and no caregivers are available, and to resume execution of the suspended routine task or to assign it to other available caregivers for continued execution after the urgent care task is completed.
  16. 16. A system as in claim 14 wherein the task scheduling mechanism is capable of consolidated scheduling of tasks for multiple continuously executable care tasks of the same caretaker to improve care efficiency and wherein subsequent care tasks of the same caretaker are preferentially assigned to the same caretaker who performed their earlier tasks.
  17. 17. The system of claim 13, further comprising an AI model (109), wherein the AI model (109) establishes a communication connection with at least one of the service mapping module (103), the service execution module (104), the attended database (106), the caretaker database (108), and the on-door care scheduling platform (116), respectively, for intervention and optimization of care task scheduling results output by the service execution module (104).
  18. 18. The system of claim 17, wherein the AI model (109) is configured to obtain caretaker resource data provided by a caretaker database (108) or a top care scheduling platform (116), caretaker care requirement data output by the service mapping module (103), and care history data stored by the caretaker database (106), and to complete the planning and scheduling of care tasks based on a preset scheduling policy.
  19. 19. The system of claim 18, wherein the preset scheduling policy includes fair allocation of all caretaking tasks based on existing caretaking resources, compression of standard execution time length of conventional caretaking tasks when caretaking is insufficient, off-peak scheduling of tasks in combination with historical data, or combined scheduling of two or more caretaking tasks that can be combined for execution.
  20. 20. The system of claim 19, wherein the preset scheduling policy further comprises at least one of a cost-first policy, a caretaker resources-first policy, and a caretaker comfort-first policy.

Description

Incontinence care closed-loop system and method based on perceived service mapping Technical Field The invention belongs to the technical fields of intelligent care, medical internet of things and intelligent care and nursing automation, and particularly relates to an incontinence care closed-loop system based on perceived service mapping and an implementation method. Background Evidence-based care is the mainstream standard of current clinical care, emphasizes that standard and scientific care operations are carried out based on clinical evidence and industry guidelines, and becomes a recognized quality control criterion in long-term care scenes such as incontinence, pressure sore prevention and the like. Incontinence care is a high frequency core scenario in clinical care and home care of bedridden elderly, disabled and semi-disabled people, postoperative patients. The traditional incontinence care depends on timing checking, manual judgment and manual intervention of nursing staff, and has the problems of lag response, inaccurate monitoring, untimely care, easy occurrence of incontinence-related dermatitis and pressure sores (complications caused by incontinence), high care intensity, high labor cost and the like. The existing intelligent incontinence monitoring scheme mainly only has single sensing detection and alarm prompt functions, can only realize abnormal state reminding, cannot form a complete closed loop from sensing acquisition, data analysis, care decision, task scheduling and execution feedback to continuous optimization, generally lacks standardized care rules based on clinical evidence, is difficult to realize personalized and accurate care by combining individual conditions of caregivers, does not establish an automatic mapping mechanism of sensing data to care services, cannot realize intelligent linkage and combined execution of a plurality of care tasks such as turning over, diaper replacement and the like, depends on manual operation on the distribution and resource scheduling of the care tasks, and is difficult to adapt to multi-scene large-scale and efficient care requirements such as home, care institutions and on-door care. To sum up, the prior art cannot realize the automatic, standardized, accurate and closed-loop operation of incontinence care, and is difficult to meet the increasing demands of intelligent care and efficient care. Disclosure of Invention The invention aims to overcome the defects of the prior art and provide an incontinence care closed-loop system based on Sensing-to-Service (S2S) mapping, which forms a complete closed loop through Sensing acquisition, data analysis, service mapping, task scheduling and execution feedback, thereby realizing automatic Sensing, intelligent judgment, accurate dispatch, linkage execution and continuous optimization of incontinence care. In order to achieve the above purpose, the invention adopts the following technical scheme: An incontinence care closed loop system based on perceived services (S2S) mapping, comprising the following components: the sensing acquisition module is used for acquiring sensing original data related to the incontinence scene; The data analysis module is connected with the sensing acquisition module and is used for processing the sensing original data and generating standardized sensing characteristic data; the service mapping module is connected with the data analysis module and the care rule base and is used for generating a service execution instruction based on the perceived service S2S mapping relation; the service execution module is connected with the service mapping module and is used for pushing instructions and receiving execution feedback; the care rule base is used for storing standardized care rules formed based on clinical evidence and industry specifications for the evidence-based care database; A attendee database for storing attendee personalization data; The intelligent terminal of the nursing staff is used for receiving the care task and uploading and executing feedback; A caregiver database for storing caregiver information; the AI model is used for caring task planning, resource scheduling optimization, image analysis and self-learning iteration; the feedback loop is connected with the AI model and is used for synchronizing the execution feedback to the AI model to complete iterative optimization; the multi-scene management module comprises a single-user management module, a multi-user management module, a system management module, a business operation management platform, an external nursing staff registration module and a door-to-door nursing scheduling platform. The system realizes full closed loop automatic operation from multi-mode Sensing data acquisition, standardized analysis, maintenance Service instruction generation, intelligent scheduling pushing and task execution to feedback iteration based on Sensing Service S2S (Sensing-to-Service) mapping relation. The perceived service