163 results about "Nursing process" patented technology

The invention relates to the technical field of nursing data processing, in particular to a nursing operation tracking and feedback system, which comprises a nursing process sequence verification module, a node sequence setting module, a node sequence setting module, a node sequence setting module, a node sequence setting module, a node sequence setting module and a node sequence setting module, and comparing the state sequence of the current operation state and the standard state, judging the missing intermediate state in the path and whether the path does not reach the termination node, and generating a nursing process sequence verification result. According to the method and the device, the compliance and the efficiency of the operation process are effectively improved through multi-level accurate evaluation of the operation sequence, the execution time and the potential step omission of the nursing process. According to the scheme, a nursing operation process is divided into a state node sequence, and a current operation state is compared with a standard process, so that operation jump and missing nodes which do not conform to specifications can be identified in real time. The detailed verification ensures the operation integrity and the process continuity, and effectively avoids step omission.

The invention discloses a self-adaptive analysis nursing method based on a wound image. The method comprises the following steps: S1, acquiring multi-modal image data of a wound; s2, performing fusion processing on the acquired multi-modal image data to generate a fused image; s3, analyzing the fused image by using a deep learning target detection model, identifying boundary, type, area and depth information of the wound, and forming a wound information set; s4, according to the identified wound information set, combining the physical condition data of the patient, and generating a model through a self-adaptive nursing strategy to formulate a personalized nursing scheme; s5, in the nursing process, the change condition of the wound is monitored in real time, the multi-modal image data are collected again at regular intervals, the steps S2 to S4 are repeated, and the nursing scheme is dynamically adjusted according to a new analysis result. According to the method, wound information is accurately obtained, a personalized nursing scheme is formulated, dynamic adjustment is achieved, and the accuracy, effectiveness and intelligent level of wound nursing are remarkably improved.

The invention relates to the technical field of medical informatization and intelligent scheduling, and particularly discloses a ward nursing process prediction and dynamic scheduling method and system.The ward nursing process prediction and dynamic scheduling method comprises the steps that firstly, a digital twinborn simulation environment synchronized with a physical ward in real time is established, and a nursing process is simulated through a multi-agent network; carrying out multi-time sequence deduction based on the environment, generating a prospective scheduling instruction set, and issuing and executing the prospective scheduling instruction set; calculating a prediction mismatch degree index by collecting actual execution data and comparing the actual execution data with a plurality of dimensions of an expected state; when the index exceeds a dynamic threshold value, a meta control layer is triggered to carry out self-adaptive adjustment on simulation environment parameters, and the self-adaptive adjustment comprises reconstruction of an agent behavior logic weight or switching of a scene deduction mode; and deducing and generating an updated instruction set again based on the adjusted environment to form closed-loop optimization.

The invention relates to the field of activity evaluation, and discloses a data analysis-based infant supporting and rearing quality evaluation system and method, and the system comprises a behavior statistics unit which is used for obtaining a daily activity video of an infant in a supporting and rearing place; performing behavior recognition on the infant according to the daily activity video to obtain infant behavior characteristics; according to the behavior characteristics of the infants, behavior statistics is carried out on the supporting and rearing places, so that behavior distribution of the infants in the supporting and rearing places is obtained; and the activity evaluation unit is used for carrying out activity track extraction on the support rearing place according to the infant behavior distribution so as to obtain an infant activity track in the support rearing place. The behavior statistics unit can acquire daily activity videos of infants and perform behavior recognition on the daily activity videos to accurately capture behavior characteristics of the infants in the nursing process, and behavior distribution of the infants can be deeply understood by performing statistical analysis on the behavior characteristics.

The invention relates to the technical field of clinical nursing, in particular to a clinical nursing system for interventional operations, which can accurately identify and predict potential complications by performing deep neural network analysis in combination with preoperative medical history, intraoperative real-time physiological data and operation types. It is ensured that a nursing scheme can be finely adjusted based on individual differences of patients, complex physiological data can be processed through a deep neural network, key physiological data are recognized from the complex physiological data, the scheme is dynamically adjusted in the nursing process through a long-short-term memory network, and the nursing accuracy is improved. The change trend of data in the operation is deeply mined, the fluctuation of physiological indexes is tracked, the abnormity is timely identified, the potential risk is predicted, the nursing decision and the physiological state of the patient can be synchronously updated, the working efficiency of nursing personnel is optimized, and the postoperative recovery effect and comfort of the patient are improved.

The invention relates to the technical field of medical data processing, in particular to an intelligent liver, gall, pancreatic and spleen disease nursing management system which comprises a parameter selection module, a feature extraction module, a risk assessment module, a node deduction module and a collaborative distribution module. According to the invention, through correlation analysis of disease types and physiological parameters, establishment of a monitoring parameter screening mechanism, avoidance of ineffective parameter interference, dynamic identification of key indexes, and quantitative evaluation of parameter deviation degree and organ function influence, the real-time evaluation capability of patient states is improved; risk level evolution trend prediction and intervention matching degree analysis are adopted, the timeliness and adaptation degree of nursing intervention measures are optimized, task pressure index calculation and role permission recognition are utilized, dynamic allocation of nursing resources among multiple roles is achieved, the response efficiency of a management system to an emergency state is enhanced, and the risk level evolution trend prediction and intervention matching degree analysis are combined. And the collaboration and the real-time performance of the nursing process are improved.

The invention relates to the technical field of medical care, in particular to a pediatric care quality evaluation method based on multi-modal data interaction. The method comprises the steps of multi-modal data acquisition, data preprocessing, nursing behavior feature analysis, infant state evaluation, and nursing quality scoring and feedback. According to the scheme, the multi-source heterogeneous data in the nursing process is collected, the ResNet50 model, the Glove model and the Mel-frequency cepstral coefficient are used for preprocessing and feature extraction of the multi-modal data of the image, the audio and the text, and the integrity and the analysis efficiency of feature fusion are improved; according to the scheme, a multi-granularity feature interactive fusion method is adopted, key features in the nursing process are extracted and fused from multiple dimensions, and the nursing behavior features and the infant state features are comprehensively obtained, so that the accuracy and the intelligent level of nursing quality evaluation are remarkably improved, and real-time monitoring and scientific feedback support of the nursing process are achieved.

The invention relates to the technical field of medical intelligent decision, in particular to an operating room nursing key node decision support system, which comprises the following steps: establishing a nursing operation reference containing a standard execution sequence and a parameter interval based on historical cases; by integrating discrete operation and continuous monitoring data in a real-time operation, a nursing process event chain with unified semantics is formed. The system compares the chain of events with an execution criterion to identify potentially risky segments and automatically extracts, for each segment, a complete operating room multi-dimensional state snapshot within a specific time window before and after its occurrence. And dynamically constructing a cause deduction network according to the state snapshots, and speculating cause chains possibly causing risks by traversing the network. And integrating all deviation information and cause analysis results, and generating a structured decision intervention prompt. According to the invention, deepening from automatic risk identification to root intelligent diagnosis can be realized, and accurate and efficient decision support is provided for operating room nursing.

The invention belongs to the field of teaching evaluation, and provides an intelligent evaluation system for elderly nursing education, which comprises the steps of acquiring and storing historical video data in an elderly nursing process; performing image processing on the historical video, and extracting at least one frame of image containing significant expressions, postures or motion features of the old as a key frame image; presenting the key frame image to an evaluated person, and receiving judgment information of the evaluated person on the current state of the old person based on the key frame image and a corresponding nursing treatment scheme; after judgment information and a nursing treatment scheme input by an evaluated person are received, a complete video clip corresponding to the key frame image is played, the judgment information and the nursing treatment scheme of the evaluated person are compared and analyzed with a preset standard answer, and a scoring result is generated in combination with complete video content; and feeding back the scoring result to the evaluated person in a graphical or text form, and providing an improvement suggestion.

The invention relates to the technical field of cardiology nursing informatization, and discloses a cardiology nursing information monitoring system based on cloud computing. A physical sign monitoring module of the system integrates real-time data streams of a wearable device and a bedside monitor, collects multi-dimensional physiological parameters and generates a dynamic vital sign set; the health assessment module identifies abnormal fluctuation nodes of the physical sign data, matches historical medical record records, quantifies the association strength of the current physical sign and a typical pathological mode, and generates a multi-dimensional health risk index; the resource allocation module analyzes a nursing resource occupation state based on the risk index, calculates a task emergency degree weight, dynamically allocates a working path and an equipment use sequence of medical staff, and generates a hierarchical nursing scheduling scheme; and the intervention analysis module executes the scheduling scheme, compares sign changes before and after resource allocation, detects abnormal response delay time, positions execution deviation nodes and generates a nursing effect traceability report. The system assists intelligent and refined management of the nursing process of the department of cardiology.

Systems, methods, and computer-readable storage media are provided for determining and ascribing clinical conditions or diagnoses to patients and provide them to a caregiver, such as attending clinicians or other appropriate health services personnel. In particular, embodiments of the disclosure determine likely phenotypic findings that are salient to the decision-making context for a current human patient, based on anticipative sequence-mining and trajectory-mining. A sequential pattern mining and sequence itemset matching system is provided for determining likely, temporally-relevant concepts that are manifested in the information that is produced during the course of a patient's care. A clinician or caregiver may be provided the sequence itemset matching by generating a list or notice. In addition or alternatively, the results may be stored in an EHR associated with the patient.

The present application relates to the technical field of clinical nursing, in particular to a clinical nursing system for interventional surgery, in the present application, through the combination of preoperative medical history, intraoperative real-time physiological data and operation type, depth neural network analysis can accurately identify and predict potential complications, and the nursing plan can be adjusted according to the individual differences of patients, the nursing plan can be adjusted according to the individual differences of patients, the depth neural network can process complex physiological data and identify key physiological data, the long short-term memory network can dynamically adjust the scheme in the nursing process, the change trend of intraoperative data is deeply mined, the physiological index fluctuation is tracked, the abnormality is identified in time and the potential risk is predicted, the nursing decision can be updated synchronously with the physiological state of the patient, the working efficiency of the nursing staff is optimized, and the postoperative recovery effect and comfort of the patient are improved.

The invention provides a urine collection intelligent nursing system and a urine collection intelligent nursing method, and relates to the technical field of medical nursing, the urine collection intelligent nursing system comprises a urine collection device, and the urine collection device is provided with an intelligent identification system and a control unit; a plurality of communicating ports communicated with the collecting cavity are formed in the urine collecting device, and the communicating ports are used for being connected with different nursing systems respectively; the intelligent recognition system and the nursing system are connected with the control unit, the control unit is used for controlling the nursing system to be started or stopped, through cooperative detection of multiple sensors, the excretion event recognition precision is remarkably improved, and the false alarm rate is reduced; the communication port supports rapid connection with different nursing systems, and function customization is achieved; the control unit automatically triggers the nursing process, manual intervention is reduced, the nursing efficiency and timeliness are improved, and the comfort level and the health level of disabled people are improved.

The invention discloses an intelligent nursing decision generation auxiliary system based on medical record data analysis, and relates to the technical field of medical information. The medical record data sharing cloud is in communication connection with an input terminal, a feature extraction module, a nursing scheme recommendation module, a nursing effect feedback module, a data mining analysis module and a nursing scheme recommendation module; the input terminal is used for collecting medical record data of a patient; the feature extraction module is used for constructing a medical record feature set of the medical record data; the nursing scheme recommendation module is used for generating a nursing scheme according to the medical record feature set of the patient; the nursing effect feedback module is used for acquiring the nursing effect level of each nursing process sub-sequence; the data mining analysis module is used for obtaining medical record feature mode combinations and dividing the medical record feature mode combinations into large sample medical record feature mode combinations and small sample medical record feature mode combinations; the nursing scheme recommendation module is used for generating a nursing scheme recommendation model, and the scientificity and effectiveness of a nursing recommendation scheme are remarkably improved.

The invention provides a radar-based nursing behavior compliance auditing method, system and product, and the method comprises the steps: carrying out the target detection of collected radar echo data, and generating a target 2D point cloud based on a target detection result; human body target recognition is carried out based on the target 2D point cloud; performing trajectory tracking on the recognized human body target to obtain a trajectory coordinate sequence; nursing behavior characteristic parameters are extracted based on the track coordinate sequence, and nursing behavior compliance judgment is carried out based on the nursing behavior characteristic parameters; and generating a nursing behavior compliance auditing report based on the nursing behavior compliance determination result. According to the nursing behavior compliance auditing method, actual image data does not need to be collected, personnel in a scene can be recognized under the condition that privacy is not invaded, nursing behaviors are synchronously recognized, the whole nursing process can be monitored, the effectiveness of nursing process supervision is effectively improved, and the nursing efficiency is improved. And the auditing time cost of the nursing work order is effectively reduced.

The invention belongs to the technical field of medical instruments, and particularly relates to wound cleaning and nursing equipment for trauma, which comprises a base, a lifting and positioning mechanism, a support frame and a flushing and blowing mechanism are arranged on the base, a sliding groove is formed in the top of the support frame, and a sliding block is slidably arranged in the sliding groove; the flushing and blowing mechanism comprises a driving assembly, a liquid storage tank and a gas storage tank, and the driving assembly is in transmission connection with the liquid storage tank and the gas storage tank; cooperative operation of stable conveying of flushing fluid and rapid blowing-out of gas can be achieved, wounds and peripheral skin can be dried through the blowing head in time after cleaning, wiping injury is avoided, the risk of bacterium breeding is reduced, time consumed by the nursing process is shortened, extrusion pressure of the flushing fluid in the fluid storage tank can be controlled, and the nursing efficiency is improved. And the problem that the wound is secondarily damaged due to excessive pressure or the cleaning is not thorough due to excessive pressure is effectively avoided.

The invention discloses a gesture recognition intelligent nursing bed system based on deep learning and a control method, and the system comprises a nursing bed body, an upper computer and a lower computer. The upper computer comprises an image acquisition module, a gesture recognition main control module and a physiological monitoring module; the lower computer comprises a control module and an execution mechanism; the method comprises the steps of gesture image acquisition and preprocessing; carrying out gesture recognition by using a YOLOv12 deep learning model; mapping and transmitting gesture instructions; adjusting the posture of the nursing bed; and monitoring and transmitting physiological parameters. Gesture control, posture adjustment and real-time physiological monitoring are achieved through deep learning, the convenience, safety and intelligent level of the nursing process are improved, and the diversified requirements of nursing are met.

The invention relates to the technical field of index structure recombination, in particular to a nursing process management database index optimization method, which comprises the following steps of: performing cost calculation on multiple indexes by adopting a gradient lifting regression tree, comparing the cost calculation with a threshold value, and forming a recombination candidate priority list under the support of a numerical result; a potential recombination object has a quantifiable judgment standard, predicted consumed time is calculated in combination with the low-ebb IO capacity and compared with the time slice length, the screening process can correspond to the system resource bearing condition, a B + tree algorithm is adopted for calculating a loading factor and the continuous scanning length, and through merging, splitting and redistribution operation, the screening efficiency is improved. A node organization structure is finely adjusted, it is guaranteed that an index structure and an access mode are kept coordinated, information entropy is utilized to sort and screen a field sequence, the field arrangement with high distinction degree is preferentially used for constructing a new index, atomic switching operation is executed to replace an old index, and the field sequence has adaptability in a dynamic data environment.

The invention relates to the technical field of tumor nursing, in particular to a tumor nursing service management system based on artificial intelligence, and the system comprises a medication detection module, a combined medication module, a physical sign recognition module, an action pushing module and a resource scheduling module. And comparing the actual dose with the standard dose. According to the invention, by automatically analyzing a continuous medication mode of a patient, physical sign changes and real-time laboratory monitoring data and fusing multi-source health parameters, dynamic collection and linkage judgment are completed, risk factor high-frequency identification and sensitive physical sign fluctuation monitoring are realized, intervention measure pushing information is generated in time, and a nursing task response process is optimized; by means of multi-dimensional data fusion and intelligent task sorting, accurate matching of patient risk management and nursing resource scheduling is achieved, so that a data closed loop and an intervention closed loop in the whole tumor nursing process are promoted, and the initiative and adaptability of nursing decisions are enhanced.

The invention provides a tracheal catheter fixing and patient falling prevention linkage nursing device. The device comprises a tracheal catheter fixing module, a falling prevention detection module, an alarm intervention module and an interaction management module. The tracheal catheter fixing module is used for ensuring that the tracheal catheter does not slip or shift in the body position change or nursing process of a patient; the anti-falling detection module is used for monitoring the body position change of a patient on the nursing bed in real time; the alarm intervention module is used for giving an alarm to medical staff when potential dangers are monitored; the interaction management module is used for optimizing a risk reminding strategy in combination with medical care feedback of the device in the use process; by means of the linkage mechanism of catheter fixing and body position monitoring, accurate recognition and intelligent early warning of tracheal catheter slipping and the risk that a patient falls off a bed are achieved, and the safety and the active intervention capacity of clinical nursing are remarkably improved.

The invention discloses a functional capability and nursing risk-based elderly care method and related equipment, and relates to the field of medical nursing, and the method comprises the steps: obtaining multi-dimensional functional capability information and nursing risk indexes of an elderly patient, carrying out the structural integration through a weighted scoring model, and generating a joint evaluation file; and outputting the function baseline value, the risk category and the comprehensive risk index. The system calls a nursing intervention rule base according to the file, and a personalized intervention list is automatically generated to serve as an execution baseline for trend monitoring. Continuously updating function and risk data in the nursing process, and generating a time sequence trend chart and a risk level change curve; when a drop in function or an increase in risk is detected, the system triggers reevaluation and automatically adjusts the intervention list. According to the method, fusion of function evaluation and risk identification and automatic generation and dynamic adjustment of intervention suggestions are realized, and the intelligent and individualized levels of elderly care are improved.

The invention discloses a grid distribution type massage air bag intelligent inflation and deflation method and system, and relates to the technical field of massage nursing, and the method comprises the following steps: constructing a space-time distribution matrix based on a bed surface air pressure fluctuation field in a mattress, converting the pressure change of each air bag in an inflation and deflation period into a continuous air pressure disturbance sequence, fourier transform is carried out on the barometric disturbance sequence to extract a dominant frequency component, and an air bag alternating frequency spectrogram is formed to serve as an input base line. Through frequency spectrum mapping and coupling measurement, dynamic interaction identification of air bag inflation and deflation and human body micro-vibration is achieved, early warning is conducted in advance, the resonance risk is reduced, and local stress fluctuation and bedsore occurrence are effectively reduced. Meanwhile, when the coupling coefficient is close to a set threshold value, a self-adaptive frequency deviation mechanism is triggered, the inflation and deflation rhythm is adjusted in real time, the sensitive frequency band is actively avoided while the pressure reduction and massage effects are guaranteed, and the safety, comfort and long-term stability of the nursing process are improved.

A nursing bed device for the digestive system department comprises a bed body, a middle plate, an adjusting device and leg bending devices, the middle plate is inserted into the middle of the bed body, the lower portion of the bed body is connected with the liftable adjusting device, and the upper portion of the adjusting device is connected with the two rotatable leg bending devices. A middle groove is formed in the middle of the bed body, a groove is formed in the rear side of the middle groove, a middle plate is inserted into a slot in the middle of the rear side of the groove, and the middle plate is flush with the surface of the middle groove. The adjusting device comprises an adjusting seat, the lower portion of the adjusting seat is fixedly connected with a lifting motor, an output shaft of the lifting motor is connected with a lifting lead screw, and the lower portion of the lifting lead screw is rotationally connected with an adjusting seat bearing seat. Nursing personnel nurse a wound from the front of the wound of a patient, the wound of the patient cannot be hurt, and dirt generated in the nursing process is easy to remove.

The present application provides a nursing machine. The nursing machine includes a housing (1), the housing (1) includes a clothing treatment area, the clothing treatment area includes a nursing area (402) and a storage area (403), a partition door (5) is provided between the nursing area (402) and the storage area (403), the partition door (5) is closed when the nursing area (402) is in the state of nursing the clothing (13), and is opened when the clothing (13) moves from the nursing area (402) to the storage area (403) after the nursing of the clothing (13) is completed. According to the nursing machine of the present application, the nursing area and the storage area of the nursing machine can be separated, so as to avoid affecting other materials of clothing during the nursing process, and ensure the nursing quality and nursing effect.

1. Name of the Design Product: Nursing Work Platform. 2. Use of the Design Product: This product is applicable to various environments that require continuous care, such as hospitals, nursing homes, and medical institutions. By integrating Internet of Things (IoT), artificial intelligence (AI), and big data analysis technologies, the platform can monitor the health status of patients in real time, automatically process call requests, record and analyze data, evaluate the nursing needs of patients, and provide personalized nursing plans and more accurate and efficient nursing services, realizing the intelligent management of the nursing process. 3. Design Key Points of the Design Product: Lies in the shape. 4. Picture or Photograph that Best Illustrates the Design Key Points: Front View.

The invention discloses a wound nursing device for the dermatology department, and belongs to the technical field of wound nursing, the wound nursing device comprises a nursing cleaning seat, the nursing cleaning seat is connected with a wound nursing cover body through a sliding connecting piece, a cleaning tank is arranged in the nursing cleaning seat, a circulating flushing assembly is arranged in the cleaning tank, and conveying side seats are arranged on the two sides of the wound nursing cover body. The conveying side base is connected with a spraying moving inner ring through an electric sliding rail assembly, and a plurality of mist spray heads are arranged in the spraying moving inner ring. Through the nursing and cleaning seat and the wound nursing cover body slidably arranged on the nursing and cleaning seat, when a large-area wound is cleaned, the effect of automatic cleaning and disinfection can be achieved, and after cleaning, the wound nursing cover body above the nursing and cleaning seat can be used for automatically smearing liquid medicine on the wound, so that the nursing and cleaning effects are improved. Sanitary safety in the whole wound surface nursing process can be guaranteed, the wound surface is prevented from being infected, the working intensity of medical workers can be remarkably reduced through automatic wound surface nursing, and the wound surface nursing efficiency is improved.

The application discloses a skin wound nursing device, belonging to the technical field of wound nursing, which comprises a nursing and cleaning seat, a wound nursing cover body connected to the nursing and cleaning seat through a sliding connecting piece, a cleaning groove arranged in the nursing and cleaning seat, a circulating flushing assembly arranged in the cleaning groove, conveying side seats arranged on the two sides of the wound nursing cover body, a spraying and moving inner ring connected to the conveying side seats through an electric sliding rail assembly, and a plurality of mist sprayers arranged in the spraying and moving inner ring. When a large-area wound is cleaned, the nursing and cleaning seat and the wound nursing cover body arranged in sliding mode can achieve the effect of automatic cleaning and disinfection, and the wound can be automatically smeared with medicinal liquid through the wound nursing cover body above the nursing and cleaning seat after cleaning, so that the sanitary safety during the whole wound nursing process is ensured, the wound is prevented from being infected, the work intensity of medical staff is remarkably reduced, and the wound nursing efficiency is improved.

The invention discloses an adjustable intelligent upper limb constraining device which comprises a hand constraining body, an arm constraining body matched with the hand constraining body and an intelligent control system. The hand restraining body comprises a hand restraining supporting plate and a flexible transparent turning cover movably covering the hand restraining supporting plate. The arm restraining body is fixedly or movably connected to the hand restraining supporting plate. The intelligent control system comprises a controller, a wireless transmission module, an alarm module, a storage battery, a pressure sensor, a heart rate sensor and a body temperature sensor. By means of the structure, hierarchical constraint on the wrist, the hand and the arm of a patient is achieved, the constraint process is good in flexibility and high in comfort degree, psychological pressure in the treatment process can be obviously reduced, meanwhile, through automatic collection and remote transmission of sensing data, the workload in the nursing process is reduced, and the nursing accuracy and safety are improved. The device has the advantages of simplicity in operation, convenience in use, low cost and the like, and can meet the use requirements of upper limb restraint treatment of patients in different states.

The invention discloses a neonatal kangaroo type nursing method, which relates to the technical field of neonatal nursing, and comprises the following steps: S1, guiding a nurse to lean against the neonatal kangaroo at an inclination angle of 60-90 degrees, and putting a back cushion on the back to keep the posture stable; s2, executing baby meeting and skin attaching operation, so that maximum-area skin direct contact between the newborn and the nurse is realized; s3, placing the newborn on the chest and abdomen of the caregiver in a vertical prone posture, and enabling the head of the newborn to turn to one side so as to keep the respiratory tract unobstructed; by constructing a parameterized and standardized nursing process, the safety and operability of neonate kangaroo type nursing are remarkably improved, a nurse stably leans obliquely at a scientific angle of 60-90 degrees, and in combination with the infant body position of vertical lying prone-head side turning, the smoothness of the respiratory tract is fundamentally guaranteed, the asphyxia risk is greatly reduced, and the nursing effect is improved. The whole action process is clear, and the technique is clear.

The invention discloses a nursing data intelligent analysis method and system, and relates to the technical field of medical data intelligent analysis, and the method comprises the steps: employing a semantic reasoning mechanism of a semantic mapping system, and carrying out the recognition of classified nursing data; constructing a nursing data evolution path with context sensing ability by identifying a relationship between the classified nursing data and combining time sequence information of state change in a nursing process; the nodes in the evolution path are matched, the matched priority is dynamically presented through a visual interaction interface, nursing suggestions are put forward, and intelligent analysis of nursing data is completed. According to the method, the semantic understanding and intelligent analysis capability of the nursing data is improved, the scientificity, the real-time performance and the individuation level of nursing decision making are remarkably improved, and the method has a good popularization prospect.