147 results about "Patient management" patented technology

The invention discloses an oral diagnosis and treatment patient service platform based on reinforcement learning, and relates to the technical field of diagnosis and treatment services, and the platform comprises a health scoring module which integrates multi-source data, generates personalized oral health scores through a dynamic weight distribution model, and displays high-risk items in combination with 3D visualization; the patient management and marketing module tracks patient behaviors, clusters and classifies the patient behaviors, generates a dynamic follow-up visit path by using multi-target reinforcement learning, and matches a precise marketing verbal skill through a knowledge graph; the in-diagnosis auxiliary module synchronizes health data of the patient to the doctor terminal in real time, detects prescription conflicts and performs early warning, and generates personalized communication verbal skills in combination with historical preferences of the patient and real-time emotion analysis; through multi-dimensional data integration and intelligent processing, the whole oral diagnosis and treatment process is optimized, the diagnosis and treatment efficiency and the patient satisfaction degree are improved, the operation cost is reduced, and remarkable innovativeness and practicability are achieved.

The invention discloses a multi-modal data fusion-based intelligent management system for a thoracic surgery monitoring unit, belongs to the technical field of medical information and artificial intelligence, and aims to solve the limitation of an existing thoracic surgery monitoring system in the aspects of multi-modal data fusion, heterogeneous data semantic alignment and intelligent deep analysis and prediction decision. The system is characterized by comprising a multi-modal data acquisition unit, a heterogeneous data fusion and semantic alignment module, an intelligent analysis and prediction decision module, a man-machine interaction and visual presentation module and a secure storage and management module. By the adoption of the technical scheme, comprehensive multi-modal data fusion, high real-time performance, deep intelligent analysis and prospective prediction can be achieved, intelligent decision support, resource optimization, continuous learning and self-adaptive optimization are provided, and the intelligent level and patient management efficiency of the thoracic surgery intensive care unit are remarkably improved.

The invention provides a digital management platform for temporomandibular joint disorder, which relates to the field of medical health management and comprises a data acquisition module, a data processing module, a symptom evaluation and diagnosis module, a treatment scheme generation module, a patient interaction management module and a data visualization module. Multi-dimensional symptom data of a temporomandibular joint of a patient is collected in real time, the collected multi-dimensional symptom data is analyzed through data fusion, symptoms and signs of the patient are analyzed, a personalized diagnosis result is generated, a personalized treatment scheme is automatically recommended according to the diagnosis result of the patient, and the treatment progress is tracked. The system records the health record of the patient, provides remote medical support and interactive management functions, visually presents the symptom change, the treatment effect and the motion data of the patient to the patient and a doctor in the forms of charts and curves, and displays the change trend of the illness state of the patient along with time. According to the management platform, the diagnosis precision, the treatment effect and the patient management level of the TMD disease can be remarkably improved.

A patient management system can include an implantable neurostimulation device configured to deliver vagus nerve stimulation (VNS) therapy to a patient and a non-invasive, external monitoring device comprising at least one sensor for detecting indicators of seizure or depression in the patient. In an example, the external monitoring device is configured to use information from the at least one sensor to detect a seizure event or a seizure precursor event, audibly ask questions of the patient and / or provide behavioral modification commands to the patient, and / or control the neurostimulation device to deliver the VNS therapy to the patient in response to a detected seizure event, seizure precursor event, or progression of depression symptoms.

The invention provides a rectal cancer patient management method and system based on postoperative rehabilitation data analysis, and relates to the field of postoperative rehabilitation management. And executing cross-scene associated feature anomaly recognition to extract a sensitive feature variable set as observation input of the hidden Markov model, driving a rehabilitation stage transition probability to calculate and output a state anomaly feature combination, comparing and positioning a real-time rehabilitation state, calculating and outputting a dynamic rehabilitation stage switching time window, and sending the dynamic rehabilitation stage switching time window to a medical end screen display. The technical problems in the prior art that rehabilitation stage division is extensive, rehabilitation stage switching prediction precision of individual users is insufficient, and rehabilitation management suitability is affected are solved. The technical effects of eliminating the rehabilitation stage division lag effect, performing rehabilitation stage switching accurate prediction and providing high-reliability time sequence feature support for rehabilitation management are achieved.

The invention relates to the technical field of health assessment, and discloses a user climacteric physical and psychological health assessment and science popularization system, which comprises a science popularization plot and dynamic assessment process module, a multi-dimensional assessment engine and a general knowledge and personalized knowledge content push engine which are in closed-loop communication connection in sequence. According to the application, the science popularization garden and dynamic evaluation process module not only ensures data integrity, but also adapts to real-time updating requirements of medical guidelines; the multi-dimensional assessment engine fuses the multi-dimensional data and processes the medical scale, so that more comprehensive and accurate health assessment is realized; a general knowledge and personalized knowledge content pushing engine constructs a dynamic user portrait based on multi-dimensional data and evaluation results, and realizes accurate matching and interpretable pushing of health knowledge through a tag system and a four-dimensional evaluation system; the flexibility and the operation efficiency of the evaluation system and the acceptability of the user to the health management content are improved, and a finer and more efficient physical and psychological health doctor-patient management scheme is provided for climacteric people.

The invention discloses a follow-up visit management system for an inflammatory bowel disease patient, and relates to the technical field of medical management. Comprising a patient management module which is in dynamic butt joint with a hospital information system, synchronizes patient data and endoscopic examination results in real time through an HL7 protocol, and establishes an electronic file containing an inflammatory bowel disease specificity tag; the diagnosis and treatment result module is used for storing structured data with temporal markers, including medication time sequences recorded by three groups of timestamps, administration routes and drug categories, auxiliary examination results accompanied with digestive tract pathological section images and hidden space feature vectors extracted from the images through a convolutional neural network; and the diet module is used for carrying out multi-level classification on diet photos uploaded by the patient through an image recognition unit based on MobileNetV3, and outputting food types and intake estimated values. According to the invention, by integrating the multi-dimensional data of the patient, the disease development trend is predicted, and personalized follow-up visit management is provided.

The invention relates to the technical field of medical information, in particular to a clinical test patient screening and dynamic follow-up visit management method based on artificial intelligence, and the method comprises the following steps: collecting and standardizing admission, examination, medication and image data, mapping test items to form associated health data, comparing the group entering standard, screening qualified patients, and performing dynamic follow-up visit management. And extracting distribution mark difference crowds of medical units and patients, analyzing a physiological data fluctuation trend, and adjusting a follow-up visit sequence to generate a dynamic management plan. According to the method, by collecting structured health information and mapping test items, accurate screening and synchronous rhythm control are achieved, distribution of patients and medical units is analyzed, differential groups are recognized, resource allocation is optimized, a time sequence is constructed through physiological data, the difference value is calculated, and the health fluctuation trend is captured. The follow-up visit node is combined to adjust time arrangement, the execution efficiency is improved, and the patient management response speed and the data processing integrity are enhanced through multi-link cooperation.

Disclosed is a system that includes a computer-readable medium (CRM) coupling a variety of devices. The variety of devices can include one or more patient wearable sensor devices, a paired patient device, and a patient devices docking station. The system can also include a smart patient care cart, a nurse station, a lift tracker station, and / or an agnostic aggregation station. The system can also include a patient datastore, a facility datastore, a caregiver datastore, a device datastore, a patient state datastore, a patient management datastore, a facility management datastore, a caregiver management datastore, an electronic health record (EHR) system datastore, a health / fitness datastore, and an agnostic aggregation datastore.

The invention discloses a chronic disease tracking management system, and belongs to the technical field of chronic disease patient management, and the system comprises a primary medical worker training module which is used for carrying out the skill and knowledge training of primary medical workers; the patient baseline data collection module is used for collecting patient baseline data and performing data analysis; the patient tracking guidance module is used for providing main control index monitoring guidance, daily nursing guidance, prevention control guidance, insulin injection guidance and the like for the patient; the prevention and improvement action plan module is used for monitoring health indexes of the patient, and regularly evaluating and timely adjusting a treatment scheme; analyzing and providing improvement suggestions according to the living habits of the patient; and the medical nutrition treatment module is used for formulating a personalized diet scheme with balanced nutrition for the patient. The system is intelligent, personalized and comprehensive, the chronic disease management level is integrally improved, and chronic disease prevention and treatment work is facilitated.

The invention relates to the technical field of patient management, and discloses a patient management method and system based on incubator traceability, and the method comprises the steps of information binding, data storage, expiration reminding and data verification. The system corresponds to the method. According to the application, the scanning device is utilized to realize accurate association of the incubator code and the patient identifier, and in combination with matching verification of the incubator function and the diagnosis and treatment stage, mistakes and omissions of manual binding are effectively avoided; equipment information, patient information and cleaning records are stored through an incubator database, multi-dimensional historical tracing query is supported, and full-life-cycle transparent management of an incubator use track and a cleaning process is achieved; a diagnosis and treatment association verification model is constructed, the accuracy of diagnosis and treatment data of a patient is intelligently verified based on multi-rule cross comparison such as spatial position, time logic and state change, and meanwhile, the early discovery capability of equipment abnormality and data contradiction is improved based on real-time monitoring of environmental parameters and linkage verification of physical sign data.

The invention relates to the technical field of health management, in particular to an obese patient remote dynamic intervention system based on AI early warning, which comprises a multi-dimensional data acquisition module, an AI risk layering and early warning module, a personalized intervention scheme generation module, a remote collaborative management module and an effect evaluation and optimization module, the multi-dimensional data acquisition module is used for acquiring patient related data; the AI risk layering and early warning module constructs a multi-dimensional dynamic score card model to carry out risk scoring and layering, and obesity health risk early warning is generated; a personalized intervention scheme generation module constructs a multidisciplinary intervention strategy matrix, and dynamically generates an intervention scheme according to an early warning result and individual features of a patient; the remote collaborative management module realizes information interaction and collaborative intervention of multi-party resources; and the effect evaluation and optimization module tracks the intervention effect and optimizes the model and the intervention scheme. Therefore, the problems of data lag, intervention scheme solidification, untimely early warning and the like in obese patient management are solved.

The invention discloses a wounded person management system based on a medical care AI robot and an application method, and relates to the technical field of artificial intelligence first aid, and the system comprises a triage emergency rescue module which is used for collecting and preprocessing vital sign data, calculating a comprehensive health score based on the preprocessed vital sign data, and carrying out the classification and emergency rescue; and the hospital guide psychological rehabilitation module is used for carrying out hospital guide and treatment according to the classification result, collecting facial expression images of the wounded after treatment and calculating the emotion intensity. According to the invention, a triage emergency rescue module is used for collecting and preprocessing vital sign data, calculating a comprehensive health score and carrying out classification and emergency rescue; the hospital guide psychological rehabilitation module is used for conducting hospital guide and treatment according to the classification result, collecting facial expression images of the wounded after treatment and calculating the emotion intensity; the efficiency and accuracy of emergency treatment are improved, delay and misjudgment in the process of wounded person treatment are reduced, and personalized and accurate suggestions for wounded person treatment are enhanced.

The invention discloses a postoperative sleep disorder key factor identification method, and belongs to the technical field of medical informatics, and the method comprises the steps: collecting data, and preprocessing the data into a candidate feature set; carrying out feature importance calculation by adopting evaluation methods of at least five different principles; the importance and stability of the features are evaluated through score and ranking analysis path fusion; the features are divided into four quadrants according to importance and stability indexes by using a two-dimensional scatter diagram, and feature classification is performed, so that key factors of the postoperative sleep disorder are accurately positioned. The method improves the robustness and consistency of feature evaluation through multi-model fusion, reduces the deviation of a single method, achieves the precise recognition of key factors of postoperative sleep disorders, supports the construction and intervention optimization of a clinical prediction model, and improves the diagnosis accuracy and patient management efficiency.

The present invention is directed to a universal holder for safely supporting a number of anesthesia and critical care equipment in an organized manner on a single device. The universal holder includes a principal structure that includes an upper portion, a middle portion defining a notched channel, and a lower portion. A receiver plate is movably mounted and is vertically adjustable within the notched channel of the main plate. The receiver plate includes a structure for mounting pressure monitoring devices and manifolds. A removable transesophageal echocardiogram “TEE” probe mount is provided and is removably attachable to the receiver plate to secure the TEE probe to the universal holder. The universal holder includes a self-adjusting flexible hook to attach the universal holder to a bed handrail of a hospital bed and a foldable base plate to support the universal holder between a mattress and the frame of the hospital bed.

The invention discloses a patrol service robot for a PET / CT waiting room, and the robot comprises a sensing and monitoring module which is used for monitoring the dynamic data of a patient and the environment in the waiting room in real time; the control system is used for planning a robot path according to the dynamic data and distributing task instructions; the mobile platform is used for enabling the robot to move to a designated position in the waiting room based on path planning; the interaction module is used for providing a man-machine interaction function and guiding the patient to complete preparatory work before examination; and the task execution module is used for executing the robot active intervention task based on the task instruction. Through multi-sensor fusion, intelligent control and man-machine interaction technologies, the problems of patient management, radiation protection, medical resource waste and the like are solved.

The invention relates to an intelligent internet bed reservation system, which comprises a diagnosis and treatment group intelligent management module for receiving disease characteristic data of a patient, generating a diagnosis and treatment group distribution scheme and outputting an operation schedule table to a dynamic scheduling engine; the dynamic scheduling engine module is used for generating time window prediction according to the operation scheduling table and starting a grading notification process; the notification and interaction module is used for generating patient customized notification content, feeding back a confirmation state to the patient management module and updating the hospitalization preparation progress; and the patient full-period management module is used for generating an electronic hospitalization certificate and optimizing a period prediction algorithm. According to the system, method and device for reserving the bed through the intelligent internet, the processor and the computer readable storage medium, the working efficiency of medical staff is improved, the patient receiving and treating plan is flexibly adjusted, and time is saved. The queuing condition can be checked at any time, and the patient can conveniently and reasonably arrange personal affairs.

The invention relates to the technical field of medical treatment, in particular to a chronic infectious disease patient management system, which comprises a registration module used for registering identity information, body information, chronic infectious disease type information, chronic infectious disease condition information and other medical history information of a patient; the information database is used for storing disease condition characteristic data, historical treatment scheme data and precautions data of the chronic infectious diseases; the management platform comprises a doctor work station, a patient information station and a feedback module, and the doctor work station is used for obtaining cooperative information of a treatment scheme; the patient information station is used for generating a medicine taking scheme, a doctor seeing scheme and life precautions, and data of the patient information station is sent to the patient terminal, so that a patient obtains treatment and life related information; and the feedback module is used for inputting discomfort information of the patient. The treatment management efficiency of a hospital on the chronic infectious disease patient can be improved, and the chronic infectious disease patient can feed back own conditions in time.

The invention, which relates to the technical field of clinic management business, discloses a clinic treatment auxiliary system comprising a medicine management module, a member management module, a patient management module, an outpatient service management module, a pharmacy management module, an execution management module, a reservation management module, an examination management module and a number calling large screen module. The medicine management module is used for counting according to the consumption state of each type of medicine; the member management module is used for managing member assets accumulated by the patient, such as points, recharge and balance, and associated family members enjoy common rights and interests; the patient management module is used for the system to automatically record files for each patient seeing a doctor in a clinic; the outpatient service management module comprises a patient file, doctor seeing information, doctor seeing information and a viewing report; the pharmacy management module is used for providing basic data, such as medicine names, specifications, usage and quantity information states, required by doctors during medicine preparation and also realizing online diagnosis and treatment and online medicine preparation functions; the execution management module is used for displaying patient archives and execution prescriptions; the appointment management module is used for enabling the patient to do not need to queue up and wait offline after online appointment time; the inspection management module displays the inspection analysis report according to the inspection; according to the clinic treatment assisting system, doctor-patient communication is facilitated, appointment and registration of the patient are facilitated, the queuing time for seeing a doctor is saved, and the efficiency is improved.

1. The name of the design product: oral cavity detection report generation graphical user interface of electronic equipment. 2. The use of the design product: an electronic device. 3. The design points of the design product: the graphical user interface in the display screen panel. 4. The picture or photo that best shows the design points: front view. 5. The use of the graphical user interface: the interface is used to show the pages of the oral cavity detection report generation platform, the front view is the interface of logging into the oral cavity detection report generation platform and entering after clicking the "patient management" control; interface change state diagram 1 is the interface entered after clicking the control corresponding to the less than symbol in the right side of the front view; when the cursor is moved to the upper row of tooth icons in the two rows of tooth icons between the "tooth position map" label and the "image data" label in interface change state diagram 1, the tenth tooth icon from left to right, the interface shown in interface change state diagram 2 is displayed; interface change state diagram 3 is the interface entered after clicking any tooth icon between the "tooth position map" label and the "image data" label in interface change state diagram 2; interface change state diagram 4 is the interface entered after clicking any rectangular selection box below the "symptom overview" label in interface change state diagram 3; interface change state diagram 5 is the interface entered after clicking the gray block below the "image data" label in interface change state diagram 4. In each interface, the gray block represents a replaceable picture or oral three-dimensional model, and the symptom label is displayed around the oral three-dimensional model represented by the gray block. The front view reference diagram is the reference diagram of the front view, and the interface change state reference diagrams 1-5 are the reference diagrams of the interface change state diagrams 1-5.

The embodiment of the invention provides a hospitalized patient falling risk assessment method, device and equipment and a storage medium, the method is applied to the technical field of hospitalized patient management, and the method comprises the steps: obtaining multi-dimensional assessment information corresponding to a target patient; the multi-dimensional evaluation information comprises evaluation information corresponding to basic daily life activity information, evaluation information corresponding to fall risk evaluation scale information and evaluation information corresponding to a medical advice medication list; inputting the multi-dimensional assessment information into a risk assessment model for risk prediction, and obtaining a target risk prediction result; generating a target nursing scheme based on the target risk prediction result and the multi-dimensional evaluation information; and managing the target patient based on the target nursing scheme. According to the embodiment of the invention, the falling risk assessment efficiency of the inpatient can be improved, and the falling occurrence rate of the inpatient is reduced.

1. Name of the product of this design: Graphical user interface for disease prevention management of electronic equipment. 2. Purpose of this design product: This design product is used in electronic equipment. 3. The design highlights of this design product are the graphical user interface content displayed on the screen of the electronic device. 4. The picture or photo that best illustrates the key points of the design: main view. 5. Use of graphical user interface: used for disease prevention and management. 6. Human-computer interaction of the graphical user interface: In the main view, click "Login" to enter the interface change state diagram 1; in the interface change state diagram 1, click "My Patients" to enter the interface change state diagram 2; in the interface change state diagram 2, after entering various information, click "Save Temporarily" to enter the interface change state diagram 3; in the interface change state diagram 3, multiple health data information is displayed, click "Health Data" on the right side of any health data information to enter the interface change state diagram 4; in the interface change state diagram 4, slide down the interface to enter the interface change state diagram 5; in the interface change state diagram 5, click "Scheme Management" to enter the interface change state diagram Interface change state diagram 6; In interface change state diagram 6, multiple management plan information is displayed. Click "Management Plan" on the right side of any management plan information to enter interface change state diagram 7; In interface change state diagram 7, click "Add" to enter interface change state diagram 8; In interface change state diagram 8, click "Patient Management" to enter interface change state diagram 9; In interface change state diagram 9, click "System Management" to enter interface change state diagram 10; In interface change state diagram 10, click "Add" to enter interface change state diagram 11; In interface change state diagram 11, click "Confirm", and then click " Delete key" icon to enter interface change state diagram 12; in interface change state diagram 12, click "Role management" to enter interface change state diagram 13; in interface change state diagram 13, click "Message management" to enter interface change state diagram 14; in interface change state diagram 14, click the "pencil-shaped edit key" icon under "Operation" to enter interface change state diagram 15; in interface change state diagram 15, click "Confirm", and then click the "Delete key" icon under "Operation" to enter interface change state diagram 16; in interface change state diagram 16, click "OK", and then click "Organization management" to enter the interface change state diagram 17; in the interface change status diagram 17, click "Add" to enter the interface change status diagram 18; in the interface change status diagram 18, click "Confirm", and then click the "Delete Key" icon on the right side of any institution management information to enter the interface change status diagram 19; in the interface change status diagram 19, click "Hardware Management" to enter the interface change status diagram 20; in the interface change status diagram 20, click "View" to enter the interface change status diagram 21; in the interface change status diagram 21, click "Patient Equipment" to enter the interface change status diagram 22; in the interface change status diagram 22, click "View" to enter the interface change status diagram 23. 7. Other Situations Requiring Explanation: The “x” in each view represents variable text and / or numbers.

The invention relates to a microfluidic device for monitoring chloride ions and glucose in cerebrospinal fluid. The microfluidic device integrates a micro sensor, an automatic fluid management system and a data analysis platform. According to the equipment, a cerebrospinal fluid sample is guided to flow through a micro-fluidic chip, the chloride ion concentration is detected by adopting an ion selective electrode technology, and the range is 0.01 mM; the glucose sensor adopts a glucose oxidase electrode, and the detection range is 0.1 mM. A micro pump and a valve system control fluid inlet and outlet speed and flow division, and automatic monitoring is achieved. The data acquisition system improves signal strength and precision, and the micro-control unit controls and transmits data to a computer or a mobile terminal in real time. The device is suitable for intensive care units, neurosurgery and hydrocephalus patient management, supports remote monitoring and anomaly detection, and provides powerful support for brain disease monitoring and diagnosis. The system has the remarkable advantages of being high in precision, minimally invasive, intelligent, wide in clinical application and the like.

The embodiment of the invention provides an emergency patient intelligent scoring method and system based on a special disease scoring tool. The method comprises the following steps: capturing pressure fluctuation characteristics and a microbial leakage threshold value of a biological sample of an emergency patient in a transmission process in real time, synchronously analyzing use conditions of an antiviral drug, an antibiotic and an immunomodulator, calculating a transmission risk value of the individualized biological sample, and constructing a dynamic transmission risk map. And by fusing the pressure fluctuation characteristics of the atlas and an immunomodulator administration mode, generating an early warning score grade, triggering a shunting instruction to isolate a high-risk sample, and adjusting the airflow parameter and the drug storage priority of a negative pressure isolation region. The method effectively improves the efficiency and safety of infectious disease patient management, and achieves the precise medical resource distribution and risk control. According to the technical scheme provided by the embodiment of the invention, the capability of coping with infectious disease emergencies of hospitals is remarkably improved.

This invention relates to the fields of medical health and artificial intelligence technology, and particularly to a nasopharyngeal carcinoma patient management robot based on proactive health management and user profiling. It includes a main control module, a hardware layer, and a software functional layer. The hardware layer includes a screen interaction module, a voice interaction module, a data acquisition module, and a communication module for human-computer interaction, user data acquisition, and data communication. The software functional layer includes a user profile construction module, a multimodal emotion recognition module, an evidence-based response module, a multimodal temporal symptom proactive prediction module, a rehabilitation training module, and a diagnosis and treatment assistance module for nasopharyngeal carcinoma patient user profile construction, emotional interaction, evidence-based guidance, complication risk prediction, rehabilitation training, and diagnosis and treatment assistance. The storage module pre-stores a nasopharyngeal carcinoma-specific evidence-based knowledge base. This invention achieves precise symptom management for each nasopharyngeal carcinoma patient, completing a closed-loop management system encompassing multimodal empathic interaction, full-cycle coverage, data collection, analysis, intervention, and iteration.

The invention discloses a chronic obstructive pulmonary disease intelligent management system based on artificial intelligence, and the system comprises a doctor team module which is used for the login of a family doctor team and an operation system, and the doctor team module comprises a main interface and a menu bar; the patient management module is used for a patient and a guardian to log in and use the system, and the patient management module is divided into a patient login entrance and a guardian login entrance; and the AI cloud platform is used for storing, processing and pushing the health information of the patient, and the AI cloud platform is based on big data and strong deep learning ability thereof. According to the chronic obstructive pulmonary disease intelligent management system based on artificial intelligence, a doctor operation platform is comprehensive, a patient operation platform is simplified, family doctors are helped to provide chronic obstructive pulmonary disease health management, meanwhile, the acceptability of patients is improved, and the treatment compliance of the patients is improved through supervision of guardians.

The application provides an intestinal preparation quality real-time evaluation and whole-process management system based on artificial intelligence, which comprises the following functions: patient end provides intestinal preparation start time setting, laxative type selection, examination process and matters needing attention query and online consultation function; medical staff end provides patient management, progress and cleanliness score monitoring, early warning processing, data export and message interaction function, wherein the intelligent data acquisition module acquires multi-dimensional data; the artificial intelligence dynamic scoring module analyzes the data based on a deep learning model, generates a cleanliness pre-score and determines a quality grade; the active early warning and intervention module analyzes the data in real time, issues an early warning and provides intervention suggestions; the medical examination result closed-loop verification module receives the doctor's score after colonoscopy, compares and analyzes the pre-score, and optimizes the evaluation model. The application realizes the standardized guidance, active risk early warning and closed-loop optimization management of the intestinal preparation process, effectively improves the preparation quality, guarantees the safety of patients and optimizes the clinical decision-making.

Disclosed is a system that includes a computer-readable medium (CRM) coupling a variety of devices. The variety of devices can include one or more patient wearable sensor devices, a paired patient device, and a patient devices docking station. The system can also include a smart patient care cart, a nurse station, a lift tracker station, and / or an agnostic aggregation station. The system can also include a patient datastore, a facility datastore, a caregiver datastore, a device datastore, a patient state datastore, a patient management datastore, a facility management datastore, a caregiver management datastore, an electronic health record (EHR) system datastore, a health / fitness datastore, and an agnostic aggregation datastore.