16282 results about "Nursing" patented technology

A physiological patient monitoring system with a healthcare professional-facing interface is disclosed. The healthcare professional interface may only display by default the most critical non-confidential patient information. To access the full range of features in the system, clinicians can unlock the device. Once unlocked, clinicians can access all of a patient's treatment history, and all the data may be consolidated and presented intuitively.

Systems and methods for improving reimbursement rates from payors for services or procedures provided by a medical care provider are disclosed herein. In some examples, reimbursement can be improved by improving the accuracy of medical coding of services and diagnosis codes through the use of machine learning techniques. In some examples, the system can suggest codes more likely to get reimbursed by a payor through analysis of patient data and / or insurance information. In some examples, the system can determine a likelihood of reimbursement through analysis of patient data and / or insurance information.

The invention relates to the technical field of data management, in particular to an information digital management system based on an intensive care medicine department. The system is used for executing the following steps: inputting information data of a patient in the intensive care medicine department by using terminal equipment; missing field value filling processing is carried out on the information data of the patient in the severe medicine department to obtain complete data of the critical patient; performing physiological index time risk analysis on the complete critical patient data to obtain physiological index abnormal risk data; performing intelligent risk early warning according to the abnormal risk data of the physiological indexes, and generating intelligent illness state risk early warning data; performing risk intervention opportunity reasoning on the intelligent disease risk early warning data to obtain risk intervention opportunity decision data; and performing medical resource optimization adjustment according to the risk intervention opportunity decision data to obtain an individualized diagnosis and treatment aid decision strategy. Individual intervention opportunity decision making is realized through intelligent illness risk early warning in the system, and the management efficiency and the resource utilization rate of the intensive care medicine department are remarkably improved.

Devices, systems, and methods for providing a patient with a personalized digital healthcare assistant. A medical history and biometric information for a patient are received by a computing device. A text conversation is conducted with the patient using a large language model (LLM) through a user interface (UI) to obtain a plurality of responses. The medical history, the plurality of responses, and the biometric information are stored in the non-transitory computer-readable memory medium. An intervention proposal is determined using a machine learning software based at least in part on the medical history, the plurality of responses, and the biometric information, and the intervention proposal is displayed on a display.

The present disclosure relates to an apparatus and method for carrying an infant comprising a waist support, panels, side supports, shoulder supports, and adjustable straps to combine the support of a traditional baby carrier with the lightness of a baby wrap. When in use, the baby is placed within the panels of the baby carrier of the present disclosure, which provides for a more ergonomic positioning of the baby. Fabric loops allow for an efficient adjustment to and from a wrap style carrier to a structured carrier.

The invention discloses an intelligent emergency pre-examination triage system based on big data, and relates to the technical field of data analysis, the emergency pre-examination triage system comprises a data acquisition module, an evaluation index extraction module, an intelligent analysis module, a triage evaluation module, a triage decision module, a feedback interaction module and a patient information management module, all the modules are connected through electric signals. According to the intelligent emergency treatment pre-examination triage system based on the big data, the comprehensive evaluation model and the triage evaluation coefficient are integrated, and the symptoms of the patient are evaluated quickly and accurately, so that the triage level and the recommended treatment department are quickly determined, the emergency treatment efficiency is remarkably improved, the waiting time of the patient is shortened, and the patient experience is improved. According to the method, medical resources are configured more reasonably, meanwhile, more comprehensive patient portraits can be provided for medical staff according to multi-dimensional information such as medical history and examination results of patients, and making of more accurate diagnosis and treatment decisions is facilitated.

The invention discloses a whole course follow-up visit management system and method for gynaecology and obstetrics patients, and relates to the field of medical information management.The method comprises the steps that when a patient sees a doctor for the first time, basic information, medical related information, medical image data, gene detection data, sensor data and patient self-report data of the patient are input; preprocessing the input patient data, and integrating the preprocessed patient data into a personal health record; establishing a health assessment model of the patient based on the integrated personal health record, outputting a current health assessment score of the patient, and generating a follow-up visit plan according to the current health assessment score of the patient; and establishing an obstetrical complication prediction model based on the personal health record, and outputting a patient complication prediction value. Potential obstetrical complication risks are recognized in advance, especially when the health condition of the pregnant and lying-in woman changes, the prediction result can be dynamically updated, real-time monitoring and early warning of complication are achieved, and safety management of the lying-in woman is optimized.

The invention discloses a general surgery department medical information sharing method and system based on medical big data, and relates to the technical field of medical information sharing, and the system comprises an authority management module which is used for dynamically distributing medical data access authority according to the identity attribute of a user, establishing a multi-level access control model, and storing the access control model; the model is based on user identities and roles, and is combined with sensitivity levels of data. According to the general surgery department medical information sharing method and system based on the medical big data, through dynamic permission adjustment, the permission of the user is dynamically adjusted according to an emergency demand scene and a special situation in an actual medical environment, and medical demands in different scenes are met; the flexibility and adaptability of the system are improved, unauthorized access possibly caused by too loose permission and interference on medical operation efficiency caused by too strict permission in the permission distribution and management process are avoided, and meanwhile it is guaranteed that personal privacy of a patient is not invaded or leaked.

The invention relates to the technical field of medical document management, in particular to a digital management method and system for medical documents. Obtaining medical document images of a target medical business system, processing the medical document images, and generating a standardized text stream of unified coding of each medical document image; constructing a feature matrix with spatial-semantic dual attributes in a feature region in each medical document through the standardized text stream of the unified coding of each medical document image; and extracting an entity relationship triple in the feature matrix, obtaining semantic fingerprint features of each medical document according to the entity relationship triple, and classifying each medical document according to the semantic fingerprint features of each medical document. According to the invention, efficient and accurate classification of the medical documents can be realized, and the intelligent and automatic level of medical document management is improved.

The invention relates to the technical field of traditional Chinese medicine acupuncture and moxibustion teaching, in particular to a multi-view fused traditional Chinese medicine acupuncture and moxibustion visual teaching system which comprises a basic data construction module, an immersive environment building module, a multi-view interactive teaching module, a collaborative annotation conflict processing module, an annotation result auditing module and a model and data optimization module. Compared with the prior art, the traditional Chinese medicine acupuncture and moxibustion visual teaching method has the advantages that a new traditional Chinese medicine acupuncture and moxibustion visual teaching paradigm of data-driven cognition, interactive verification logic and intelligent optimization iteration is constructed through a closed loop of'problem definition-technical breakthrough-effect guidance ', space and modal limitations of traditional teaching are broken through, and the traditional Chinese medicine acupuncture and moxibustion visual teaching method is suitable for popularization and application. In addition, deep fusion of traditional Chinese medicine inheritance and modern medical education is achieved, and a reproducible digital solution is provided for standardized and precise acupuncture and moxibustion teaching.

The invention belongs to the technical field of image analysis, and discloses an old people health state prediction and alarm method based on AI image analysis, and the method comprises the steps: obtaining a depth image, a color image and a pressure image of an activity environment of old people, carrying out the combined analysis of the depth image and the pressure image, recognizing a terrain semantic region in a monitoring region, and carrying out the prediction of the health state of the old people; and carrying out dynamic segmentation on the gait contour of the old people. And the terrain gait coupling degree is calculated by analyzing the depth change characteristics and the motion period characteristics of the gait sub-regions, so that the abnormal gait sub-regions are screened out. And for the abnormal regions, the terrain gait coupling degree, the dynamic texture features of the color image and the pressure distribution features of the pressure image are fused, and a cross-modal health risk vector is constructed. Based on the vector, the health state of the old people is accurately predicted, and a corresponding alarm signal is generated. According to the invention, precise evaluation and timely early warning of the health state of the old people are realized, and intelligent guarantee is provided for the home safety of the old people.

A method of dynamically monitoring a health goal using a wearable device. The method may include receiving, by a processor, user input associated with the wearable device worn by an individual. The method may include obtaining, by the processor, health parameters associated with the individual from the wearable device and user feedback from the individual based on a physical condition of the individual associated with the health plan. Additionally, the method may include evaluating whether the health goal will be successfully reached by the individual following the health plan. Responsive to determining that the health goal will not be successfully reached, the health plan may be dynamically adjusted and provided to the individual to reach the health goal.

Disclosed is a system for providing personalized self-medication, onboarding, training and improving medication adherence. The system includes a patient computer system comprising at least one processor and at least one memory component: a display, an optional input device, and an optional pointing device, a server connected to the patient computer system by a network link, the server comprising at least one processor and at least one computer readable medium wherein at least one computer readable medium comprises instructions that when executed by at least one processor, cause at least one processor to perform acts comprising: (i) responsive to patient input data, producing a patient personalized assessment; (ii) formulating a customized intervention for the patient based on the patient input data and / or personalized assessment; and (iii) presenting the patient personalized assessment and / or customized intervention on the display.

The invention relates to the field of traditional Chinese medicine rehabilitation scheme recommendation, in particular to a traditional Chinese medicine rehabilitation scheme recommendation method and system. The method comprises the following steps: firstly, acquiring examination reports of a to-be-tested patient and each historical patient, acquiring a rehabilitation scheme of each historical patient, and performing natural language processing on each examination report and each rehabilitation scheme to obtain word vectors of phrases in the examination reports and the rehabilitation schemes; the method comprises the following steps: obtaining symptom similarity of each historical patient according to word vector difference of phrases in an examination report between a to-be-tested patient and the historical patients, screening out similar patients of the to-be-tested patient, obtaining scheme difference indexes of the to-be-tested patient according to word vector difference of phrases in rehabilitation schemes among the similar patients, and determining the symptom similarity of each historical patient based on the scheme difference indexes. And recommending traditional Chinese medicine rehabilitation schemes to the to-be-tested patient in different modes. Accurate traditional Chinese medicine rehabilitation scheme recommendation can be performed for patients, and the accuracy of the traditional Chinese medicine rehabilitation scheme recommendation system is improved.

A convertible highchair is described that includes a bucket seat with a contoured backrest and an adjustable harness to securely and comfortably hold an infant in place while eating or performing various activities. The bucket seat, acting as an infant seat, is also removable to accommodate infants of different sizes and ages. For instance, the bucket seat can be removed to transition the highchair from use as a baby feeding chair to use as a toddler feeding chair, where a toddler seat is height adjustable. The highchair also features a removable tray that is adjustable in distance from the infant to allow for easy access to food and drinks. The tray can also be equipped with a spill-resistant lip to prevent food and drinks from spilling onto the infant's lap or the floor. The highchair also includes a sturdy base with legs that ensure stability on various surfaces.

The invention discloses a chronic disease follow-up visit and management platform driven by a large model, and relates to the technical field of medical information technology platforms. The system is applied to managing and tracking the follow-up visit process of chronic disease patients and providing health consultation and answers, and comprises a user interface module, a logic control module, a database module, a large model module and an auxiliary function module, and the user interface module is used for providing an interactive interface between a patient and a doctor. An intelligent and efficient system platform is constructed by integrating a large model technology, a voice recognition technology and a digital human technology, the system platform adopts a privatized large model, data security and privacy protection are ensured, medical institutions are allowed to autonomously optimize and control the application of the model, and on the whole, through an advanced technical means, the intelligent and efficient system platform has the advantages of being high in practicability and easy to popularize. Refining, individuation and high efficiency of chronic disease management are remarkably improved, and the purpose is to improve the health outcome and life quality of patients.

A computer-implemented method for generating an acknowledgement in an automated conversational healthcare pipeline, the method comprising: receiving an input from a user; deciding whether to provide a generated acknowledgement to the user in response to the input using a filtering mechanism configured to avoid inappropriate acknowledgements; responsive to a decision to provide the generated acknowledgement, outputting the generated acknowledgement produced by processing the input using a generative acknowledgement model; and continuing with the automated healthcare pipeline, by generating a next output of the conversational healthcare pipeline and outputting the next output of the conversational healthcare pipeline.

A method for providing mental health advice, a method for training a deep-learning network and a deep-learning based mental health advisory system using Acceptance and Commitment Therapy (ACT). The method for providing mental health advice comprises the steps of: receiving textual input from a user in a consultation session; processing the textual input by applying a mental health condition relationship to the textual input to identify the mental health status of the user; and providing an output associated with the mental health status of the user.

Methods, systems and apparatuses for infant and child monitoring, for changing pads, and for tracking heath. One system is an intelligent changing pad system for infants and children that includes a main body with a changing surface, a scale integrated within the changing surface for measuring weight, a plurality of sensors configured to monitor health-related metrics of a human including temperature and hydration levels, a graphical user interface for displaying the human's health metrics and alerts, and a wireless communication system for transmitting the monitored data to a remote computing device.

The invention discloses an equipment health assessment method and device and electronic equipment. The method comprises the following steps: acquiring running state data of the equipment, the running state data being various parameter characteristics acquired at multiple positions of the equipment; adjusting the initial weights corresponding to the various parameter features to obtain target operation state data; a health assessment model is adopted to assess the target operation state data, an equipment health degree score is obtained, and the equipment health degree score is used for quantitatively assessing the equipment health state. The technical problem that the actual health state of the equipment cannot be accurately reflected due to the fact that the static weight factor is adopted to evaluate the health state of the equipment in the prior art is solved.

A wearable device consists of a smart band and a display unit. The smart band comprises a microbial biosensor, a particulate matter sensor, an enviro sensor, a physiological sensor, a biofluid sensor, a biokinetics sensor, a lifestyle sensor, and a single board computer. The microbial biosensor detects, measures, and monitors microorganisms, and a sterilizer kills pathogens. The particulate matter sensor detects, measures, and monitors a set of suspended particles in the surrounding air. The enviro sensor monitors environmental conditions surrounding the user. The biofluid sensor detects, measures, and monitors biological fluid parameters of the user. The physiological sensor detects, measures, and monitors physiological parameters of the user. The biokinetics sensor detects, measures, and monitors physical activities of the user. The lifestyle sensor detects, measures, and monitors healthy lifestyle activities of the user. The wearable device allows for continuous monitoring of user health for accurate clinical outcomes and wellness programs.

The invention relates to the Internet of Things technology, and discloses an animal health monitoring system which comprises wearable equipment and a cloud server. The wearable equipment comprises a processor, and an acceleration sensor, a body temperature sensor and a wireless transceiver which are connected with the processor; the processor is configured to determine the posture of the animal according to the acceleration data detected by the acceleration sensor, and obtain the body temperature of the animal from the body temperature sensor; the posture-body temperature data pair is sent to a cloud server through a wireless transceiver; the cloud server is configured to input a plurality of groups of posture-body temperature data pairs which are sequenced according to the time sequence and come from the wearable device into a pre-trained first machine learning model, and the animal health state output by the first machine learning model is obtained. According to the system, the transmission energy consumption is reduced, the endurance time is prolonged, and the accuracy of animal health state judgment is improved.

The invention relates to the technical field of health management, and provides a health management system and method.According to the health management system, in the prevention and control of infectious diseases, real-time data drives model and strategy updating, for example, high-risk area disinfection and personnel protection are rapidly enhanced and propagation is restrained when an epidemic situation suddenly occurs; with ease of an epidemic situation and precise reduction of prevention and control intensity, through continuous data monitoring and analysis, the spreading change trend of infectious diseases in a hospital can be caught sensitively, prevention and control measures can be enhanced rapidly, high-frequency disinfection is achieved, personnel protection is upgraded, and resources are allocated emergently in the rapid spreading stage of the early stage of the epidemic situation, so that epidemic situation spreading is effectively restrained; and as the epidemic situation enters a stable or slowed-down stage, management and control can be accurately and moderately relaxed, resources are reasonably allocated, excessive investment is avoided, the dynamic adjustment mechanism always ensures that the management strategy is closely matched with the actual epidemic situation, and the flexibility and accuracy of a hospital for coping with infectious diseases are greatly improved.

The invention discloses a cross-regional cross-mechanism health medical data security sharing method based on a block chain, and relates to the technical field of data security, and the method comprises the steps: 1, carrying out the content balance fragmentation of an electronic health record, and obtaining a plurality of content fragments, encrypting each content fragment by using a random salt value generated by the head hash value of the previous height block to obtain a salt-added ciphertext fragment; 2, calculating a hash sequence for all salted ciphertext fragments of the same patient and generating a Merkel root; 3, when the external medical institution makes an access application, the chain smart contract compares the identity code set of the applied external medical institution with the patient agreement white list; and when an agreement threshold value set by the patient is met, generating and verifying an access authorization token by adopting a signature mechanism, and writing an authorization result into a block chain auditing side chain. According to the method, the problems of low data sharing efficiency, high trust dependence, difficulty in auditing and the like in a traditional mode are solved.

A method and a Large Language Model (LLM) evaluation system provides an end-to-end evaluation of LLM, which includes evaluating both input prompts and output prompt responses, wherein the evaluation includes assessing a plurality of input and output characteristics that encompasses both quality and quantity. Each of the plurality of input characteristics are assigned with a corresponding normalized score by employing one or more statistical techniques to derive a composite health score for the input prompts. Evaluation further comprises evaluating output prompt responses in both absence and presence of the ground truth. Upon evaluating both input prompts and output prompt responses, a final aggregated health score for the LLM is computed by a scorer module employing threshold based statistical techniques that considers input prompt health and output prompt response health, wherein the aggregated health score is generated based on the granular scores of each characteristic.

The invention relates to the field of intelligent health situation monitoring, in particular to an elderly health situation monitoring and early warning system and device based on digital twinning, and the system comprises a data collection module, a digital twinning module, a risk prediction module and an early warning module. Wherein the data acquisition module acquires physiological and environmental data in real time; the digital twin module constructs an environment and individual model which dynamically reflects the physical state of the old people, predicts the environment risk and adjusts the state of the model; the risk prediction module evaluates health risks according to the vital sign data and a twinborn model; and the early warning module customizes a health management scheme or sends early warning to nursing personnel according to the evaluation result. The system has the advantages of real-time performance and accuracy, realization of personalized health management, effective prediction of environmental risks, timely early warning and presentation of technical advantages. Meanwhile, physiological and environmental factors are comprehensively considered, comprehensive health management support is provided for old people, and health monitoring and risk early warning efficiency is remarkably improved.

An external medical device is provided. The external medical device includes a memory and circuitry, in communication with the memory, to receive input specifying at least in part at least one prompt relating to a health survey for a patient, the at least one prompt being customized based on the patient; convert the at least one prompt to an audio representation; and perform the health survey by at least delivering to the patient the audio representation.

Methods, systems, and apparatus, including medium-encoded computer program products, including receiving, through a user interface, a request for a healthcare education content item including one or more healthcare education terms, providing, for presentation in the user interface, a subset of healthcare education content items, receiving a selection of a healthcare education content item of the subset of healthcare education content items, providing the selected healthcare education content item and the one or more reflective prompts for the selected healthcare education content item, receiving a user reflection responsive to a reflective prompt presented with the selected healthcare education content item, generating, by machine learned models, a user reflection score corresponding to reflection assessment criteria of the user reflection, classifying the user reflection based on whether the user reflection meets a threshold healthcare education credit criteria, and providing a notification including the classification of the user reflection.