51 results about "Nursing care quality" patented technology

The invention discloses a medical care data intelligent evaluation system based on multi-modal data fusion, and belongs to the technical field of medical care. The problems that subjective deviation exists in the prior art, evaluation results of different medical workers on the same patient may be different, the medical data source is single, and patient information cannot be comprehensively reflected are solved. Through real-time feedback of nursing personnel, the frequency of abnormal data in a feedback result within a period of time is analyzed, so that the updating frequency of the model is dynamically adjusted, and misjudgment caused by model deviation is reduced; according to the method, the abnormal data in the multi-modal data are identified by calculating Z-score, the time sequence data are set to be high priority, and the abnormal data at the high priority are preferentially fed back to the nursing personnel, so that the response speed of the nursing personnel to abnormal conditions is increased, the distribution of nursing resources is optimized, and the nursing efficiency is improved. Therefore, nursing personnel can deal with emergencies in time, and nursing quality and patient safety are improved.

The invention discloses an anesthesia awakening state prediction method and system, and the method comprises the steps: firstly constructing a standard prediction model, then obtaining an actual physiological parameter set, generating an actual recovery state parameter set according to the actual physiological parameter set, and generating an initial recovery curve in the standard prediction model; generating a minimum verification circle, and performing primary correction on the initial recovery curve through the minimum verification circle to obtain a corrected recovery curve; according to the correction recovery curve and a standard prediction model, initial prediction waking time is calculated, according to the actual recovery state parameter set and the correction recovery curve, a composite deviation rate is generated, according to the composite deviation rate, secondary correction is carried out on the initial prediction waking time, and prediction waking time is obtained. According to the method, accurate positioning of the wake-up point is realized by correcting the intersection point of the recovery curve and the standard prediction model, and early warning is performed in time, so that the work pressure of medical staff is reduced, the orderly development of medical work can be ensured, and the nursing quality and the operation efficiency of a wake-up ward can be improved.

A system and method for facilitating a member journey through healthcare service by augmenting stewardship workflow across multiple service areas is disclosed. The system and method includes augmenting the healthcare stewardship workflow by standardizing the healthcare service practices, increasing the quality of care for patients, improving the workflow efficiency of healthcare personnel, reducing the costs associated with providing healthcare services, and enabling the ease of regulatory compliance using machine learning techniques. The system and method provides the healthcare personnel with access to healthcare-relevant and fact-based artificial intelligence powered by machine learning for decision support opportunities to drive recommended care pathways.

The invention provides a multi-mode intelligent analysis internal fistula postoperative rehabilitation nursing method and system, and belongs to the technical field of medical nursing and artificial intelligence crossing. The application aims to solve the problems of single monitoring dimension, subjective risk judgment and static homogenization of the nursing scheme in the existing internal arteriovenous fistula postoperative nursing. The method comprises the following steps: acquiring multi-modal data related to a wound state and a hemodynamic state of an internal arteriovenous fistula; processing the multi-modal data to generate standardized feature data which can be analyzed; generating a risk assessment result about the health condition of the internal arteriovenous fistula; and a preset nursing scheme is dynamically adjusted based on a risk assessment result. According to the method and the device, multi-modal data are fused and an intelligent algorithm is used for collaborative analysis, so that the accuracy and early stage of risk identification can be realized, the individuation and high efficiency of a nursing scheme are realized, and the nursing quality is improved.

The invention relates to an intelligent nursing and monitoring device used after glaucoma filtration, and belongs to the technical field of medical instruments, the intelligent nursing and monitoring device comprises a rigid main frame, the inner side of the rigid main frame is provided with a flexible sealing gasket, the upper portion of the rigid main frame is integrated with a self-adaptive positioning system, and the left side and the right side of the rigid main frame are connected with directional physical nursing execution systems; a microenvironment humidity monitoring system is embedded in the ball head, and the rear side of the frame is connected with an intelligent central control system. The self-adaptive positioning system accurately recognizes eyeball and filtered bubble areas, the directional physical nursing execution system reproduces standardized nursing operation, the microenvironment humidity monitoring system verifies the nursing effect in real time, and the intelligent central control system overall plans all the systems to cooperate and supports remote data transmission. The device can solve the problems of inaccurate postoperative nursing, lagged effect feedback and poor patient compliance, improves the nursing quality, assists in improving the success rate of an operation, and is suitable for families and clinical nursing scenes.

The application discloses a medical care data intelligent evaluation system based on multi-modal data fusion and belongs to the technical field of medical care. The application solves the problems that the existing technology has subjective bias, the evaluation results of different medical staffs for the same patient can be different, and the medical data source is single and cannot comprehensively reflect the patient information. Through the real-time feedback of nursing staff, the frequency of model update is dynamically adjusted by combining the frequency of abnormal data in the feedback results in a period of time, so as to reduce the misjudgment caused by model bias; the abnormal data in the multi-modal data is identified by calculating Z-score, the time series data is set as high priority, and the abnormal data in the high priority is preferentially fed back to the nursing staff, which not only improves the response speed of the nursing staff in the face of abnormal conditions, but also optimizes the allocation of nursing resources, so that the nursing staff can more timely handle the emergency, thereby improving the nursing quality and patient safety.

The invention relates to a nursing device for hemodialysis patients, and belongs to the technical field of medical nursing devices. In order to solve the problems that in the prior art, cost is high, and numbness cannot be improved through active movement, an arm arc-shaped bearing piece, an auxiliary massage mechanism, a hand training piece, an angle adjusting mechanism and a debugging mechanism are arranged, the arm arc-shaped bearing piece is used for supporting the arm of a patient, and the auxiliary massage mechanism is arranged on one side of the arm arc-shaped bearing piece and communicates with the arm arc-shaped bearing piece; the hand training piece is connected to one end of the arc-shaped arm bearing piece, the angle adjusting mechanism is arranged at the bottom of the arc-shaped arm bearing piece and connected with the hand training piece, and the angle adjusting mechanism is matched with the hand training piece to adjust the angle of the arc-shaped arm bearing piece. The debugging mechanism is arranged on the auxiliary massage mechanism and connected with the hand training piece through an air guide pipe. According to the device, the massage strength can be adjusted according to individual requirements of a patient, the arm of the patient can bend and stretch at a micro angle during massage, numbness of the arm during dialysis is avoided, and the nursing quality is improved.

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.

The invention discloses an intelligent monitoring and tracing system for intravenous medication allocation nursing quality, and relates to the technical field of intelligent nursing management, and the system comprises a time anchoring module, a conflict sensing module, a number fusing module, a dual-factor code forming module and an entropy gate regulation and control module. The time anchoring module is used for constructing a unified time anchoring chain and establishing a number pool monitoring system; and recording traceability code generation request frequency and request node distribution in a time slice corresponding to the unified time anchoring chain, and generating a high-concurrency interval list according to a recording result. Dynamic hierarchical management of traceability code generation is realized through time anchoring and a conflict perception mechanism, a high-concurrency area is identified in advance, dispersed scheduling is carried out, and code uniqueness and traceability chain continuity are ensured. In combination with serial number fusing, two-factor coding and entropy gate regulation and control mechanisms, cross-node non-repeated coding and adaptive load adjustment are realized, the collision risk is reduced, and the safety and stability of medication tracing are improved.

The invention relates to an optimal evidence-based laparoscopic postoperative shoulder pain standardized nursing process optimization method and device, and the method comprises the steps: collecting the baseline data of a patient before the laparoscopic operation, and the baseline data comprises the demographic information, the medical history information and the operation information; inputting the baseline data of the patient into the trained preoperative individualized shoulder pain risk prediction and grading model, and predicting a risk grading result of the patient; inputting the risk grading result into a trained optimal evidence-based medical evidence rule engine model, and outputting a perioperative period nursing intervention scheme; the optimal evidence-based medical evidence rule engine model comprises a rule engine tree, an intervention strategy library, an intra-operative optimization module, a postoperative analgesia module and a postoperative rehabilitation module. Through the optimal evidence-based medical evidence rule engine model, the nursing intervention scheme in the perioperative period is intelligently output according to the risk level of the patient, and the nursing quality is remarkably improved.

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.

The invention relates to an ICU bedside pressure sore risk image identification and early warning method. The method comprises the following steps: continuously acquiring images at a preset frame rate before and after the same skin area of a patient is pressed and decompressed to obtain a sequence; extracting color, brightness or texture features of the region from the sequence, comparing the color, brightness or texture features with baseline features before decompression, if a recovery threshold is met, judging that the region is reversible, otherwise, judging that the region is limited in recovery when continuous deviation exceeds a first time length; calculating regional displacement and deformation within a second duration under the condition that the limited state is recovered, and judging that the compression is hidden and continuous when the displacement is smaller than a threshold value; and comparing the characteristics of the region before and after body position adjustment or nursing intervention, and if the characteristics are not improved or deteriorated, outputting a pressure sore high-risk early warning. The method does not need an additional contact type sensor, is suitable for continuous and non-invasive monitoring beside an ICU bedside, can provide early warning in the early stage of formation of pressure sores and even before macroscopic injuries occur, and helps nurses to take targeted intervention measures in time, so that the occurrence rate of the pressure sores is reduced, and the nursing quality and the working efficiency of the ICU are improved.

The invention discloses a grading intelligent evaluation system and method for patients in an anesthesia recovery period, belongs to the technical field of anesthesia, and solves the problems that subtle changes of numerous physiological parameters of the patients are difficult to comprehensively and continuously monitor by adopting a traditional evaluation mode and depending on self-evaluation of indexes of a monitor and the like at present; the method comprises the following steps: collecting physical sign monitoring data of a patient in real time based on a sensor and an Internet of Things technology, carrying out multi-dimensional parallel evaluation analysis on the physical sign monitoring data of the patient by an anesthesia recovery period patient evaluation model, and outputting an evaluation analysis result of the patient. Judging whether the real-time state evaluation level exceeds a preset patient risk threshold value or not; according to the method, the anesthesia recovery period patient evaluation model is used for carrying out multi-dimensional parallel evaluation analysis on the physical sign monitoring data of the patient, the nursing grading requirement of the patient is judged in an intelligent mode, objectivity and scientificity of nursing grading decision making are ensured, nursing quality is improved, complication risks are reduced, and meanwhile the comfort degree and satisfaction degree of the patient are improved.

The utility model belongs to the technical field of medical supplies, and particularly discloses a constraint robe for delirium patients. The robe comprises a robe body, a lining is arranged in the robe body, fixing assemblies are arranged on the two sides of the robe body and the two sides of the lining, the lining is located in the robe body, the two sides of the robe body are connected with gloves, and restraining assemblies are arranged in the two gloves. The situation that a patient takes off a pulse oxygen clamp in gloves and digs out the net face end is avoided, the nursing problem after a delirium patient is covered with a quilt is solved, the observation blind area of a nurse is reduced, the patient is prevented from rubbing off a pipeline in the quilt, stimulation caused by the fact that the patient lifts the quilt due to body temperature changes after the operation is avoided, and therefore the adverse effect on postoperative recovery is reduced. Meanwhile, nurses can conveniently observe the condition of the patient, unnecessary stimulation of the patient is reduced, more comprehensive and effective constraint and protection are provided for the delirium patient, and the nursing quality and the rehabilitation effect of the patient are improved.

The invention discloses an intent recognition system and method for disabled old people based on gaze and environment interaction, and belongs to the technical field of intelligent old people care and artificial intelligence. The invention aims to solve the problem of difficult communication of disabled old people caused by language and dyskinesia. The system comprises a multi-modal data acquisition unit which is used for acquiring staring target sequences and multi-dimensional situation information such as physiology, time, space and the like of old people; the situation feature fusion and construction unit is used for integrating the multi-source heterogeneous data into structured comprehensive situation representation; the core of the intention reasoning unit is a large language model, and the intention reasoning unit is used for carrying out deep semantic understanding and logical reasoning on the comprehensive situation and generating a candidate intention list with confidence; and the man-machine interaction output unit is used for presenting the recognition result to nursing personnel. According to the method, the staring behaviors and the rich situation information are deeply fused, the powerful reasoning ability of the large language model is utilized, the complex and dynamic intentions of the disabled old people can be accurately recognized in a natural and low-cognitive-load mode, and the communication efficiency and the nursing quality are remarkably improved.

The invention relates to a full-automatic sound control respiratory tract sputum cleaning device special for old people, and belongs to the technical field of medical instruments, the device comprises a fixed base, an inflatable flexible limiting pillow integrated with a multi-mode sensor is arranged on the fixed base, and the inflatable flexible limiting pillow is used for supporting the head of a patient and collecting physiological signals; the double-shaft linkage positioning mechanism is arranged above the fixed base, comprises a horizontal sliding base and a semi-arc sliding arch frame, and is used for driving the execution assembly to move; the execution assembly comprises an automatic telescopic sputum aspirator and an infrared vision fusion positioning module and is used for accurate positioning and operation. The central controller is integrated in the equipment and used for processing multi-mode signals, intelligently making decisions and coordinating actions of all mechanisms. The respiratory tract secretion state early-stage automatic identification and on-demand intervention can be achieved, safe and soft whole-process automatic sputum clearing operation is completed through accurate positioning and force feedback control, the aspiration pneumonia risk is effectively reduced, the discomfort of a patient and the workload of nursing personnel are relieved, and the nursing quality and efficiency are improved.

The utility model discloses a portable nursing inspection tour assembly, which belongs to the technical field of medical instruments and comprises a machine body, a clamping plate, a machine cover, a switch button, a lithium battery block, a telescopic nurse watch, a charging port, a lamp hose, a tricolor lamp and a pupil contrast ring. Through cooperative use of the machine body, the clamping plate, the machine cover, the switch button, the lithium battery block, the telescopic nurse watch, the charging port, the lamp hose, the three-color lamp and the pupil contrast ring, the telescopic nurse watch, the three-color lamp and the pupil contrast ring are integrated into an integrated portable inspection tour device, so that the inspection tour device is guided by clinical requirements; therefore, clinical requirements can be taken as a guide, light source scene division precise adaptation and tool integration are achieved, patient experience and nurse occupational health are both considered, nursing quality and efficiency are improved, the problems that nurses are inconvenient to operate, and nursing operation efficiency is low are solved, and practicability of the device is improved.

The invention relates to the technical field of image processing, in particular to an intelligent medical care interaction platform system based on an image processing technology. The method comprises the following modules: a data acquisition module, a target identification module, a nursing behavior identification module and an auxiliary prompt module. The method specifically comprises the following steps: respectively acquiring local camera data and infrared sensing data of a ward area; according to the local camera data, a to-be-nursed target and a nursing execution target are identified, and the effective behavior interaction time of the nursing execution target and the to-be-nursed target is determined in combination with the infrared sensing data; comparing the interaction behavior characteristics in the effective behavior interaction time with a preset nursing behavior label, and determining the suitability of the current nursing behavior type; and screening a connection nursing behavior tag from the nursing behavior tags according to the suitability of the current nursing behavior type. Under high-frequency nursing scenes such as intensive care, omission risk and operation error rate can be reduced, and nursing safety and nursing quality are integrally improved.

The utility model relates to the technical field of medical instruments, and particularly discloses a ventricular drainage tube placing frame which comprises a sliding frame, a sliding seat is connected to the outer side of the sliding frame in a sliding mode, an adjusting ring is connected to the outer side of the sliding frame in a threaded mode, a limiting column is arranged on the outer side of the sliding frame, and a laser positioner is arranged at one end of the sliding seat. A graduated scale is fixedly connected to the top end of the sliding seat, a hook frame is slidably connected to the outer side of the graduated scale, an adjusting mechanism used for adjusting the height of the hook frame is arranged in the hook frame and comprises a rotating column, a rotating piece and an extrusion block, and the outer side of the rotating column is in threaded connection with the interior of the hook frame. Adjustment can be carried out according to the specific condition of a patient, visual inspection and operation depending on feeling are not needed any more, the ventricular drainage tube can be placed more accurately, the operation method of nurses is unified, the operation method is more standardized, and the nursing quality is improved.

The utility model relates to the technical field of medical nursing equipment, in particular to a gastrointestinal postoperative enema multipurpose nursing bed which comprises a bottom plate, supporting rods are fixedly connected to the front side and the rear side of the right end of the bottom plate, and a turnover device is fixedly connected to the inner wall face of the bottom plate. L-shaped connecting rods are fixedly connected to the front side and the rear side of the left end of the bottom plate correspondingly, a fixing column is fixedly connected to the inner side faces of the two L-shaped connecting rods jointly, the outer surface of the fixing column is movably sleeved with a rotating lasso, and a connecting plate is fixedly welded to the right side of the outer surface of the rotating lasso; the end, away from the rotating lasso, of the connecting plate is fixedly connected with a mattress device, and the right end of the mattress device is movably connected with a foot pad through a bearing. According to the multi-purpose nursing bed for enema after the gastrointestinal surgery, multi-dimensional accurate body position adjustment and diversified body position requirements of patients after the gastrointestinal surgery can be achieved through the turnover device, medical workers can conduct treatment work more efficiently, and nursing quality is improved.

1. The name of the design product: graphical user interface of head nurse management manual for electronic device. 2. The use of the design product: for an electronic device. 3. The design points of the design product: the content of the graphical user interface. 4. The picture or photo that best shows the design points: change state diagram 2. 5. The use of the graphical user interface: for the running of the head nurse management manual program. 6. The human-computer interaction mode of the graphical user interface: input the "account, password" of the ward head nurse in the main view login interface, click "login" to enter change state diagram 1; click "head nurse manual" in the menu bar at the top of change state diagram 1 to enter change state diagram 2; click "Chapter 1 Nursing Human Resource Allocation and Management" in the left navigation menu of change state diagram 2, select "1-1 Nursing Staff Basic Information" from the drop-down menu to enter change state diagram 3; click "Chapter 2 Nursing Work Plan and Summary" in the left navigation menu of change state diagram 3, select "2-1 Plan Focus 'Confirm'monthly' and other information to query" from the "type" drop-down menu to enter change state diagram 4; click "Chapter 3 Nursing Quality Management" in the left navigation menu of change state diagram 4, select "3-2 Nursing Sensitive Indicator Monitoring Results Table" from the drop-down menu, click "query", enter change state diagram 5; click "Chapter 4 Nursing Teaching Management" in the left navigation menu of change state diagram 5, select "4-4 Nursing Theory Test Score Registration Table" from the drop-down menu, click "add", enter change state diagram 6; click "Chapter 5 Nursing Research Management" in the left navigation menu of change state diagram 6, select "5-7 Annual Summary Table of Nursing Research Situation" from the drop-down menu, click "add", enter change state diagram 7; click "Chapter 6 Nursing Culture Construction" in the left navigation menu of change state diagram 7, select "6-3 Nurse Head Communicate Record Table" from the drop-down menu, click "add", enter change state diagram 8; click "Chapter 7 Other Records" in the left navigation menu of change state diagram 8, select "7-1 Major Events / Special Events Record" from the drop-down menu, click "add", enter change state diagram 9.

The utility model discloses a turnover supporting device for a long-term bedridden patient. The turnover supporting device comprises a bed frame and a bed board movably connected to the bed frame through a sliding connecting part. A driving unit is installed on the bed frame and used for driving the bed board to slide along the arc-shaped track of the sliding connecting part, and therefore the patient can be effectively turned over. The nursing opening is formed in the bed board and detachably connected with the back board, so that medical staff can conveniently clean and nurse the back of the patient. By means of the structure, the pressure sore occurrence risk can be reduced, nursing convenience and comfort are improved, and the nursing quality of long-term bedridden patients is remarkably improved.

The invention discloses a nurse training examination system based on OKR. According to the system, a nurse can effectively master clinical theoretical knowledge and skills through the system, the nursing service quality is improved, medical errors are reduced, the work satisfaction degree and occupational development of the nurse are improved, modernization of nursing education is greatly promoted through implementation of the system, and the development of the nurse is promoted. The invention discloses an OKR-based nurse training examination system, and aims to ensure that continuous education and professional development of nurses can meet the goals of medical institutions, and improve the nursing quality and patient nursing results at the same time. By integrating the OKR into the training and assessment process, the progress can be better tracked, nurses are helped to improve professional skills, finally, the medical service quality is improved, and benefits are brought to patients. According to the system, a customized and high-efficiency nurse training system is created, and contributions are made to the development of the nursing industry.

The invention belongs to the technical field of medical nursing equipment, particularly relates to a lacuna irrigator for anorectal nursing, and aims to solve the problems of low irrigating precision, unstable liquid medicine proportioning and heating and pipeline blockage by impurities of the conventional anorectal irrigating equipment, the following scheme is provided: the lacuna irrigator comprises an operation nursing bed; the central control system is mounted on the right side of the operation nursing bed; the flushing cavity is connected to the mounting groove of the operation nursing bed; the flushing device is arranged on the rear side of the flushing cavity and used for flushing the affected part; according to the system, various defects of existing flushing equipment for the anorectal department are effectively overcome, standardization, refinement and convenience of the whole nursing process of the anorectal department are achieved through multi-module cooperative linkage and automatic precise control, the nursing quality and efficiency are remarkably improved, safety and comfort of a patient are guaranteed, and the system is worthy of popularization and application. The system is suitable for clinical nursing scenes of anorectal departments of medical institutions at all levels, and has high practical value and popularization prospect.

The invention discloses an intelligent scheduling method and system for operating room nurses, a terminal and a storage medium, and the method comprises the steps: determining nurse information and shift configuration, carrying out the input processing of the nurse information and the shift configuration, and obtaining a nurse information table and a shift configuration table; obtaining a target shift, searching in the shift configuration table according to the target shift to obtain a basic scheduling condition, and performing primary screening processing on the nurse information table according to the basic scheduling condition to obtain a candidate nurse set; and screening the candidate nurse set again to obtain a target scheduling result. According to the invention, the corresponding scheduling condition is generated according to the shift configuration, and the nurses are automatically scheduled according to the scheduling condition, so that the scheduling efficiency and the nursing quality of the nurses are remarkably improved.

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 invention relates to the technical field of medical care, and discloses a medical care cloud platform based on deep learning. The platform comprises a data acquisition module, a model analysis module, a scheme generation module and an abnormity early warning module. The data acquisition module is used for acquiring basic health data and real-time monitoring data of a patient; the model analysis module receives the nursing request, constructs a deep learning model to divide analysis time periods, and dynamically analyzes the health state of a patient to obtain nursing intervention demand indexes of all the time periods; the scheme generation module generates a personalized nursing scheme and continuously tracks the health indexes of the patient in the execution period; the abnormity early warning module monitors vital sign indexes, medication compliance and nursing operation standardability of a patient and carries out abnormity early warning. The platform integrates multi-source data of the patient, realizes dynamic analysis and personalized nursing, improves the nursing quality through continuous tracking and abnormal early warning, and is suitable for nursing management of various patients.

The application relates to the technical field of medical assistance, and discloses a nursing assistance system for neurology departments, which realizes effective integration of medical multi-source data of patients through a data integration module, and realizes fusion analysis of the medical data after data integration through different neural network algorithms through a data analysis module, so that the accuracy of analysis results is improved. In addition, a convenient and efficient information sharing and cooperation platform is provided to improve the stability of nursing means and the nursing quality in the nursing process of medical staff to patients.

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.