80 results about "Care plan" patented technology

Personalized Physics Engines (PPE) are provided via personalizing a musculoskeletal representation for a person under monitoring (PUM) for care according to a Health Care Plan (HCP) to represent a movement capability of the PUM; receiving data from a sensor enabled environment (SEE) to identify behaviors of the PUM in the SEE; identifying an intent for a first series of performed behaviors of the PUM; modeling a series of predicted behaviors of the PUM via the PPE based on the intent and a current behavior of the PUM; identifying a second series of performed behaviors of the PUM; identifying a variation between the second series of performed behaviors and the series of predicted behaviors that satisfies an actionable threshold; in response to identifying that the variation satisfies the actionable threshold, engaging a hardware device associated with the SEE identified based on at least one of the intent and the variation.

A system for automated healthcare management of a patient including a virtual agent system that includes multiple specialized personas, each configured to perform specific tasks within a healthcare management process. The personas include a schedule builder persona configured to generate a personalized care plan based on patient data, integrating input from one or more expert resources to tailor the care plan to the patient's needs; and a message builder persona configured to generate and schedule patient communications based on the generated personalized care plan, ensuring that each message is compliant with healthcare regulations.

The present application relates to the technical field of medical auxiliary decision-making, in particular to a system and method for generating individualized nursing plans based on comprehensive assessment of the elderly. In the present application, by collecting multi-class physiological time series data of the elderly in a specific life scene and extracting the periodic fluctuation characteristics, the subtle change trend of the daily rhythm can be accurately identified. Further, by comparing the rhythm deviation degree and persistence in different time periods, the dynamic influence of the progress of chronic diseases on the physiological state is revealed. In combination with the trend change rate and its directionality, the interaction mode between physiological changes and chronic disease indicators is depicted in continuous observation, thereby realizing the measurement of the coupling adaptation degree between individual physiological response and chronic disease condition. Through normalized amplitude difference and matching interval screening, the individual physical ability and chronic disease adaptation label are accurately assigned. Then, the adaptation priority of each intervention element in the individual is comprehensively measured in a multi-dimensional scoring manner, and a nursing intervention combination for a specific population state is constructed.

A system is provided.SOLUTION: A system comprising: means for inputting health information of a person to be cared for; means for organizing and transmitting the inputted health information to a server; means for analyzing the health information stored in the server and generating a AI model; and means for providing a care plan generated by the AI model to a device of the person to be cared for.SELECTED DRAWING: Figure 1

Provide a system. 【Solution means】means for collecting and analyzing the status data of the care recipient; means for collecting and analyzing the status data of the care recipient; means for generating a care plan based on the status data; means for providing the care plan to the caregiver; means for providing the caregiver with information resources for guiding care techniques; means for evaluating the stress level of the caregiver and providing relaxation methods; means for providing a community function that enables information sharing with other caregivers; means for real-time monitoring of the health data of the care recipient using a smart device; means for notifying the generated care plan and displaying information based on the care history; A system including the above.

This invention discloses a method for intelligently presenting plant care plans and a method for intelligent plant care. The method for intelligently presenting plant care plans includes, in response to input of a plant name, presenting the care plan corresponding to the plant name in a visual interface; and / or, making adaptation adjustments to the matched care plan; and outputting the adjusted care plan to the user in a visual interface format. This method, which allows for intelligent generation of care plans by simply inputting the plant name, improves the efficiency of care plan generation.

A system is provided.SOLUTION: A system comprising: means for collecting personalized physiological data; means for transmitting the physiological data to a cloud environment; means for using a generative model for analyzing the physiological data and evaluating a health condition of a user in the cloud environment; means for generating a personalized health care plan based on an analysis result of the generative model; means for transmitting the health care plan to a terminal of the user; means for transmitting an execution result and feedback of the health care plan to the cloud environment again; and means for analyzing the feedback and updating the health care plan.SELECTED DRAWING: Figure 1

We provide the system. [Solution] A means of automatically generating treatment policies and care plans by analyzing patient information using generative artificial intelligence, A method for converting visit records into digital data using handwriting recognition technology and centrally managing the information, A means of automatically generating answers to questions outside of one's area of ​​expertise based on analyzed information, We protect information in secure data centers and implement measures to ensure the strict management of highly confidential information. A system that includes this.

The invention relates to the field of artificial intelligence medical treatment, in particular to a self-adaptive health care robot interaction method, which comprises the following steps of: acquiring facial tongue pictures, physiological waveforms, body fluid chemistry and environmental behavior information, encrypting fragments, writing a hash chain and embedding a digital watermark; after decryption, quantizing the signal into a pulse sequence, inputting the pulse sequence into a liquid state machine to generate a pulse grid, extracting a topological signature, cascading the topological signature with a multi-scale feature, and obtaining a digital twin state vector through a streaming variational encoder; the vector is mapped to a directed acyclic causal diagram, fractional order diffusion is applied to form a propagation tensor, an Isin model is constructed, minimum energy spinning is obtained through silicon optical coherent annealing, and an intervention effect vector is generated through write-back simulation; taking the digital twin state and the intervention effect as input, and adopting an energy covariance constraint near-end strategy to optimize an output care plan; if the confidence is insufficient or drug conflicts are detected, manual confirmation is triggered; according to the invention, low-delay, interpretable and end-to-end encrypted family health closed-loop intervention is realized.

This invention discloses a personalized patient care information management system, comprising a server and medical staff, caregiver, and family member terminals connected to the server. The server is configured with: an information recording module for recording basic patient care information and temporarily added information; a permission management module for assigning corresponding operation permissions; a collaborative interaction module for real-time synchronization of care information among the medical staff, caregiver, and family member terminals; and an approval module that receives care plans submitted by the caregiver terminal and pushes approval requests to the family member terminal, synchronizing the approval results to both the caregiver and medical staff terminals after the family member terminal provides feedback. If the care plan is modified midway, a second approval request is pushed, and the modified care plan can only be implemented after approval by the family member terminal. Its beneficial effects are: this invention enables multi-dimensional information recording, real-time sharing of multi-party collaboration, and care plan approval management, improving care efficiency and accuracy.

A computing system can obtain health record data of a user from health record sources. The system can generate, on a computing device of a call agent, an interactive agent interface comprising prepopulated data based on the health record data. Based on an interaction between the call agent and the user during a call session, the system can receive input data from the computing device of the call agent. Based on at least one of the health record data or the input data, the system can generate a set of health outcome predictions for the user, and based on the set of health outcome predictions, the input data, and the health record data, the system can generate a set of health care plan rankings for the user.

The system according to this embodiment aims to analyze the health status and lifestyle needs of care recipients and propose and monitor an optimal care plan. [Solution] The system according to the embodiment comprises a data collection unit, an analysis unit, a proposal unit, and a monitoring unit. The data collection unit collects data from sensors and medical devices. The analysis unit analyzes the data collected by the data collection unit to determine the health status and living needs of the care recipient. The proposal unit proposes an optimal care plan based on the analysis results obtained by the analysis unit. The monitoring unit monitors the progress of the care plan proposed by the proposal unit in real time.

We provide the system. [Solution] Means for acquiring user care data, medical information, and preference information, A means of analyzing acquired data to generate the optimal care plan, A means for transmitting the generated care plan to the caregiver's information device, A method for analyzing work-related memos and instructions entered by caregivers and updating the database, A method for caregivers to perform their duties while checking care plans in real time and receiving visual instructions using smart glasses, A system that includes this.

A care plan can be created based on the analysis results regarding the user's physical function. [Solution] According to one embodiment of the information processing method, the method includes an acquisition step of acquiring a care plan, an analysis step of acquiring analysis results regarding the user's physical functions, a classification step of categorizing the user's goals, a sorting step of sorting the analysis results and the categorized results into a matrix, and a generation step of generating a care plan and a plan document from the results of the sorting matrix.

Systems and methods are described for generating a customized care plan for a patient, tracking data and progress of the patient across a service line history over time, generating at least one analytics dashboard, and causing display of the at least one analytics dashboard, wherein the patient information in the at least one analytics dashboard is encrypted and accessible for view according to predefined patient permissions.

The present invention provides an information processing method, an information processing program, and an information processing device for evaluating the status of care services provided. [Solution] The information processing method includes the steps of: accumulating work data when a care worker performs a service-related task; obtaining a care plan relating to the plan for performing the service-related task; evaluating the service by associating the work data with the care plan; and outputting the service evaluation results.

An object of a system according to an embodiment is to efficiently generate and provide an individual care plan for a dementia patient.SOLUTION: A system includes a collection unit, an analysis unit, a generation unit, and a provision unit. The collection unit collects personal information, medical history, and lifestyle data of a patient. The analysis unit analyzes the data collected by the collection unit and analyzes the state of the patient in detail. The generator generates a care plan based on the analysis result obtained by the analyzer. The providing unit provides the care plan generated by the generating unit to the patient, his / her family, and the healthcare professional.SELECTED DRAWING: Figure 1

To provide a data processor, a data processing method, and a program for creating a care plan.SOLUTION: The data processing device includes a reception unit that receives attribute information of a person in need of assistance for creating a care plan, and a processing unit that performs a specifying process using a generation AI model that generates an output result according to an input sentence, and the processing unit generates the care plan as a result of the specifying process by output of the generation AI model when a text instructing a process of generating the care plan from the attribute information received by the reception unit is set as the input sentence.SELECTED DRAWING: Figure 3

We provide the system. [Solution] A means of collecting individual health data of users, A means of analyzing collected health data in real time, A means of generating individual care plans based on analysis results, Means of providing the generated care plan to the user, A means of regularly monitoring and re-evaluating the progress of users, A system that includes means of providing feedback to parents or instructors based on the user's health status and progress.

An object of a system according to an embodiment is to continuously evaluate a health condition of an elderly person or a person to be cared for and provide an optimal care plan.SOLUTION: A system includes a data collection part, an analysis part, a care plan generation part, and a provision part. The AI collector continuously collects date of the elderly person or the person to be cared for by utilizing the generated date. The analysis unit analyzes the data collected by the data collection unit and evaluates a health condition of the elderly person or the person to be cared for. The care plan generator automatically generates an optimum care plan based on the health condition evaluated by the analyzer. The provider provides the care plan generated by the care plan generator to the caregiver or the concerned party.SELECTED DRAWING: Figure 1

A patient management system and method for providing a risk profile and care plan to a patient and provider. The patient management system includes a risk analysis module configured to convert unstructured data to structured data and includes a data acquisition module for collecting and transmitting unstructured data and a classifier module for analyzing unstructured data and converting the unstructured data into structured data. The data acquisition module receives the unstructured data set, and the classifier module converts the unstructured data to a structured data set. A provider interface system is in communication with the classifier module and is configured to collect a plurality of structured data sets, analyze the collected structured data sets and output a risk profile / group to a provider.

The invention discloses a personalized nursing scheme generation system for hepatitis patients. The personalized nursing scheme generation system comprises a signal acquisition and processing unit, a dynamic decision-making unit and a feedback optimization unit, the signal acquisition and processing unit adopts a flexible wearable hepatic region monitoring patch and a bio-impedance spectroscopy sensor array, acquires data of electrophysiological signals and metabolic characteristics of a patient in real time, and eliminates medical environmental noise from the data; the dynamic decision-making unit is used for cooperatively transmitting data by integrating a fractal antenna array and a medical special LoRaWAN protocol, establishing a three-layer cascade decision-making model, integrating patient medical history, gene detection data and clinical guidelines, and generating a personalized nursing scheme; the feedback optimization unit carries out dynamic optimization processing on the personalized nursing scheme; the multi-modal data of electrophysiological signals, metabolic characteristics, medical history and gene detection are fused to generate a highly personalized nursing scheme, so that patient requirements can be accurately matched, and the accuracy and pertinence of the nursing scheme are improved.

The system according to the embodiment aims to provide a health care plan customized based on individual health data.SOLUTION: A system according to an embodiment includes a health data input unit, a data analysis unit, an exercise plan generation unit, a nutrition guideline providing unit, and a stress management advice providing unit. The health data input unit inputs health data. The data analysis unit analyzes the health data input by the health data input unit. The motion plan generation unit generates a motion plan based on the result analyzed by the data analysis unit. The nutrition guideline providing unit provides a nutrition guideline based on the result analyzed by the data analyzing unit. The stress management advice providing unit provides stress management advice based on the result analyzed by the data analysis unit.SELECTED DRAWING: Figure 1

An object of a system according to an embodiment is to reduce the workload of a care manager and improve the quality of a care plan.SOLUTION: A system includes a user information acquisition part, a care plan generation part, a feedback collection part, and a care plan adjustment part. The user information acquisition unit acquires information on a user. The care plan generator generates a care plan based on the user information acquired by the user information acquirer. The feedback collector collects user feedback on the care plan generated by the care plan generator. The care plan adjuster adjusts the care plan based on the feedback collected by the feedback collector.SELECTED DRAWING: Figure 1

The invention discloses a personalized nursing plan making method and device. The method comprises the following steps: acquiring a medical record of a patient; the medical records comprise basic information, historical diagnosis results, historical treatment records, questionnaire conditions, patient nursing records filled by nursing personnel and various vital sign data; inputting the medical record of the patient into a preset state evaluation model, and determining a physiological state score, a psychological state score and a social state score of the patient; according to the physiological state score, the psychological state score and the social state score of the patient, the nursing demand needed by the patient is determined; inputting the nursing demand and the medical record of the patient into a nursing plan making model, and generating a personalized nursing plan of the patient; the personalized nursing plan comprises nursing directions, nursing measures and corresponding nursing time. According to the invention, decision differences among different nurses can be avoided, and the accuracy, objectivity and consistency of nursing decisions are improved.

A system is provided.SOLUTION: A system comprising: sensor means for collecting motion data of a user; collection means for collecting image data and audio data of daily activities of the user; analysis means for analyzing the collected motion data, image data, and audio data to identify a behavior pattern and health condition of the user; provision means for providing the user with a personalized care plan generated based on the analysis results; and interaction means for interacting with the user to collect and analyze information from the user.SELECTED DRAWING: Figure 1

The present application relates to the field of artificial intelligence medical treatment, and especially relates to a robot interaction method for adaptive health care, which comprises the following steps: collecting facial tongue image, physiological waveform, body fluid chemistry and environmental behavior information, fragment encryption, writing into a hash chain and embedding digital watermark; after decryption, quantizing the signals into pulse sequences, inputting into a liquid state machine to generate a pulse grid, extracting a topological signature and cascading with multi-scale features, obtaining a digital twin state vector through a streaming variational encoder; mapping the vector to a directed acyclic causal graph, applying fractional order diffusion to form a propagation tensor, constructing an Ising model and obtaining a minimum energy spin through silicon light coherent annealing to generate an intervention effect vector through backwriting simulation; taking the digital twin state and the intervention effect as inputs, adopting an energy covariance constraint proximal strategy to optimize an output care plan; if the confidence is insufficient or a drug conflict is detected, triggering artificial confirmation; the present application realizes a low-delay, interpretable, end-to-end encrypted family health closed-loop intervention.

We provide the system. [Solution] Means of collecting audio data, A means for analyzing the audio data and extracting emotional states, A means for generating a self-care plan based on the said emotional state, Means for providing the self-care plan to the user, A system that includes this.

A computing system can obtain health record data of a user from a number of health record sources, and generate, on a computing device of the user, an interactive user interface comprising prepopulated data based on the health record data. Based on interactions by the user on the interactive user interface, the system can receive input data from the computing device of the user, the input data corresponding to health-related information provided by the user. Based on at least one of the health record data or the input data, the system can generate a set of health outcome predictions for the user, and based on the set of health outcome predictions, the input data, and the health record data, the system can generate a set of health care plan rankings for the user.

The invention relates to a children insulin resistance risk prediction method and a computer readable storage medium, the children insulin resistance risk prediction method comprises a machine learning model and an interpretable algorithm, the machine learning model is constructed based on children obesity related variables, the interpretable algorithm is integrated in the machine learning model, and the interpretable algorithm comprises a first algorithm and a second algorithm. The first algorithm is used for screening key obesity-related variables influencing the insulin resistance of the children from the obesity-related variables of the children, and the second algorithm is used for analyzing the synergistic effect of each key obesity-related variable on the insulin resistance of the children. Compared with the prior art, the method has important significance on prevention and management of the IR, and the risk of IR occurrence is reduced by intervening and adjusting related variable indexes of obesity of children. In addition, the method is beneficial to formulating a personalized nursing plan from the perspective of children obesity related variables, and functions are deployed on an open source website, so that pediatricians, parents and children can use the system conveniently.