14 results about "Nursing care quality" patented technology

This invention provides an intelligent anti-extubation vest and its application control method. Through sensor fusion and intelligent control technologies, it upgrades traditional passive fixation to an active protection system, shifting from "post-event handling" to "pre-event warning." Clinical trials show that it can reduce unplanned extubation rates, shorten nurse response times, and significantly improve the safety and quality of care for thoracic surgery patients. This invention achieves active protection through a closed-loop control system of "real-time monitoring - automatic clamping - multi-level alarms," ​​realizing an active anti-extubation mechanism and improving fixation reliability.

An integrated labor management system is used to monitor laboring patients and their fetus or fetuses during labor and delivery. The system is intended to reduce complications, improve quality labor care and, ultimately, reduce adverse maternal and neonatal outcomes. The system is designed for labor monitoring by caregivers such as obstetricians, nurses, and midwives. By integrating the technologies described, the integrated care delivery system provides a low-cost, fit-for-purpose, highly interoperable and customizable labor management technology package for LMIC settings.

This invention discloses an intelligent fluid intake and output management tool, relating to the field of medical device technology. The platform includes: a fluid intake and output measurement module for real-time collection of patient intake and output data; a data transmission module for transmitting the intake and output data to a mobile management terminal; a fluid intake and output conversion module for acquiring intake and output fluid data; and a data entry module for recording the intake and output fluid data and generating a fluid intake and output report. This invention solves the technical problem of inaccurate patient fluid intake and output records in clinical nursing due to subjective confusion in measurement methods and duplicate or missed recordings. It achieves the technical effect of improving the accuracy and convenience of recording, reducing human error, and ensuring the quality of basic nursing care by automatically converting fluid data and generating standardized fluid intake and output reports.

This application discloses a digital management method and system for hospital nursing quality indicators, relating to the field of medical and nursing quality information technology. The method includes the following steps: setting assessment rules for evaluating nursing process quality indicators; acquiring patient nursing records and constructing a patient-centered event time series; based on the assessment rules, filtering nursing events related to the corresponding nursing process from the event time series; dynamically adjusting the strictness of the assessment rules based on the identity information of nursing staff and the clinical status information of patients; verifying the event time series according to the adjusted assessment rules and obtaining verification results; determining the compliance of the nursing process based on the verification results, and generating a compliance conclusion and audit report for the nursing process. This application can intelligently distinguish between genuine nursing quality defects and discrepancies in record appearances caused by differences in personnel and context, solving the problems of fragmented processes, isolated data, and delayed assessment in traditional nursing quality management.

The application discloses an ear-nose-throat-head-neck surgery nursing quality intelligent management and control system and relates to the technical field of nursing quality management and control. The system comprises the following steps: processing operation mode information, doctor's advice information, vital sign information, pipeline information, drainage information, symptom information, nursing record information and handover record information, and generating a nursing event sequence; identifying a current risk stage based on the nursing event sequence, generating a current stage nursing obligation set, and performing closed loop verification, stage switching re-authentication and nursing quality state output. The system can adjust the nursing strategy according to the change of the patient risk stage, and realize nursing abnormality identification and nursing breakpoint positioning.

The application discloses a hospital nursing quality and efficiency evaluation method and system, and relates to the technical field of hospital quality management, and specifically relates to a hospital nursing quality and efficiency evaluation method and system. The application introduces information entropy dynamic weight, calculates the maximum Lyapunov index, combines the recovery index to construct a chaotic nursing resilience index, and fuses the three views of patients, safety and management to improve the quantification of the distinguishing degree and the recovery capacity. The application uses a clustering algorithm to evaluate the nursing quality and efficiency, combines fuzzy membership and firefly mixed optimization, and uses a target function containing time attenuation and resilience penalty to enhance global search and convergence. The application maps the membership degree to an individual quality index, weights and sums up the individual quality index to obtain a hospital score, calculates a confidence interval and structured output, and obtains efficient and accurate nursing quality and efficiency evaluation results, which facilitates system docking and decision-making.

The application relates to the technical field of neurosurgery nursing management and control, in particular to a whole-process management and control system for the qualified rate of postoperative nursing quality in neurosurgery, which comprises an archive creation module, a procedure matching module, a state monitoring module and an event processing module. When a patient is transferred to a nursing unit after surgery, the system creates a unique digital nursing tracking archive, synchronously inputs basic pathological information, operation key operation record and preliminary nursing target, and matches and associates a corresponding standard nursing procedure template. Real-time physiological data flow is collected through a bedside sensor array, physiological state analysis engine and postoperative complication early warning rules are combined, physiological parameter abnormal fragments are identified, independent abnormal event records are generated and associated with the archive, and an alarm message containing abnormal fragment key features is pushed to a mobile nursing terminal. The system realizes integrated collection of nursing information, continuous analysis of physiological data, accurate identification of abnormal states and real-time pushing, and strengthens the whole-process standardized management and control of postoperative nursing.

The application discloses a hospital nursing quality control management method, comprising the following steps: a system background generates a plurality of nursing work plan lists with different time dimensions according to patient conditions, nursing grades and medical orders, sets a reminding time for reminding nurses to perform nursing tasks specified in the nursing work plan lists, and starts a reminding time timer so that the nurses perform nursing work according to the nursing work plan lists, and uploads nursing execution records of performing each nursing task through a nurse terminal; the system background reminds the nurses to perform emergency nursing on patients according to patient abnormal data and 'critical value' reports, and receives emergency nursing execution records of performing each emergency nursing task uploaded by the nurses through the nurse terminal; and the system background evaluates nursing work completion quality according to the nursing execution records and the emergency nursing execution records uploaded by the nurses through the nurse terminal.

This invention discloses an integrated intelligent feeding neonatal status monitoring system and method. The invention relates to the field of neonatal care equipment technology. The system includes a sensing module, an edge computing module, an execution module, a human-computer interaction module, and a compliance assurance module. This invention achieves intelligent integrated closed-loop control, deeply integrating multimodal physiological monitoring with three feeding methods and nipple training. The core algorithm dynamically optimizes the feeding strategy based on real-time data, solving the problem of disconnect between monitoring and feeding, and realizing precise adaptive feeding for newborns. This significantly improves clinical efficiency and nursing quality and can be widely applied in neonatal intensive care units and nursing centers.

This invention relates to the field of intelligent rehabilitation nursing technology, specifically to an interactive management method and system for rehabilitation nursing that integrates the Internet of Things (IoT) and AI. The method includes the following steps: collecting heart rate, blood oxygen, and body temperature data from a wearable terminal and aligning them with the time; combining this with body mass index (BMI) and previous medical records; determining drug dosage and exercise metabolic equivalent based on risk-matching nursing rules; and adjusting parameters and updating the intervention parameter set based on feedback scores. In this invention, by accurately aligning timestamps and collecting multidimensional physiological data, the time synchronization problem in traditional methods is avoided. Kalman filtering improves the accuracy and anti-interference ability of data fusion. Combined with health risk analysis, personalized rehabilitation intervention plans are achieved. Bayesian networks, through comprehensive evaluation of physiological data, BMI, and historical medical records, accurately determine drug dosage and exercise metabolic equivalent, providing decision support for individualized treatment. A dynamic adjustment mechanism ensures real-time updates of nursing parameters, improving rehabilitation effectiveness and nursing quality.

This invention relates to a method and apparatus for quality control in ECMO nursing care. The apparatus includes a server and a monitoring unit. The server includes at least a processing unit; the processing unit is configured to: when medical staff are performing nursing work in the context of ECMO equipment use, and the acquisition component sends the collected ECMO equipment operating parameters and patient physiological parameters to the processing unit, establish a site parameter model corresponding to the patient's body parts and physiological parameters based on a time axis and the patient's body parts; the processing unit adjusts the ECMO equipment operating parameters through the site parameter model, and based on the determined adjustment and combined with a medical database, the processing unit generates auxiliary adjustment operations and nursing opinions for medical staff to perform. The apparatus, method, and system provided by this invention have the advantages of controlling the nursing process and ensuring treatment efficiency, and also have the effects of improving and reducing data transmission and processing volume, reducing workload, etc., meeting the high-efficiency and high-professional requirements of ECMO equipment use.

This invention relates to a method and system for quantifying the work efficiency of medical caregivers based on multidimensional data, belonging to the field of efficiency quantification. The method includes: acquiring historical data streams; constructing a ward information entropy field based on the historical data streams to obtain location demand entropy; continuously acquiring real-time data streams; evaluating negative entropy based on the real-time data streams and location demand entropy, and outputting a real-time negative entropy flow trajectory; reconstructing the phase space based on the real-time data streams to obtain a real-time control margin trajectory; identifying cross-scale causal emergence based on the real-time data streams and outputting a real-time causal emergence intensity trajectory; and optimizing strategies based on the real-time negative entropy flow trajectory, real-time control margin trajectory, and real-time causal emergence intensity trajectory, outputting a comprehensive efficiency report. This invention achieves the integration of multidimensional data to dynamically quantify, predict, and optimize caregiver work efficiency in real time, thereby improving nursing quality, ensuring caregiver health, and optimizing resource allocation.

The application discloses a kind of for ward without accompanying nursing nursing staff-patient precision matching method, it is related to nursing staff patient precision matching technical field, mainly is to the technical problem that nursing staff ability and patient demand are not matched, part high-demand patient cannot obtain high-quality efficient nursing, specifically is through four-step process to realize the efficient use of nursing resources and the precision landing of nursing service, first through the construction of scientific nursing staff level evaluation system by nursing staff competence analysis, then the nursing needs of patients are quantified and classified, based on the characteristics of both for targeted precision matching, finally through safety double-lock check mechanism to ensure the safety and accuracy of nursing operation, combined with nursing staff regular skill training and level reevaluation, realize the dynamic optimization of matching system, ultimately improve the nursing quality, efficiency and safety of ward without accompanying.