46 results about "Patient profile" patented technology

A system for real-time generation of therapeutic plans based on predictive analytics of patient profile data including a processor of a therapeutic plan server (TPS) node configured to host a machine learning (ML) module and connected to at least one patient-entity node over a network and a memory on which are stored machine-readable instructions that when executed by the processor, cause the processor to: receive the patient profile data including patient nutrients intake data and medications intake data from the at least one patient-entity node; parse the patient profile data to derive a plurality of key classifying features; query a local database to retrieve local historical patients-related data based on the plurality of key classifying features; generate at least one classifier feature vector based on the plurality of key classifying features and the local historical patients-related data; provide the at least one feature vector to the ML module coupled to an Artificial Neural Network (ANN); receive a plurality of nutrients-medications correlation parameters from a therapeutic plan predictive model generated by the ML module using outputs of the ANN based on the at least one feature vector; and generate a therapeutic plan for the at least one patient-entity node based on the nutrients-medications correlation parameters.

The invention provides a DTP medical advice automatic notification method and system based on short message triggering, and belongs to the technical field of DTP medical advice automatic notification. The method comprises the following steps: verifying and synchronizing subject information according to subject data, monitoring transition of a prescription state and generating a trigger event; calling a preset message template library, and matching to obtain a corresponding first short message content and an acceptance role; the subject information is processed based on a predefined label rule base, a patient portrait label is constructed, and a doctor advice notification risk score of a patient is calculated; and according to the patient portrait label and the patient medical advice notification risk score, adjusting the first short message content to obtain a second short message content, and according to the determined short message notification mode, touching the second short message content to the accepting role to complete DTP medical advice automatic notification. According to the invention, through a state driving mechanism, mode change from passive waiting to active triggering is realized. The optimal notification strategy is intelligently matched by fusing patient portraits, testee ages and the like.

The invention discloses a patient file generation method and device applied to clinical tests and a medium, and relates to the technical field of data processing. The method comprises the steps that field metadata and text description information are typeset and combined through a visual editor, a patient file structure module is constructed, visual self-defined editing is achieved, and different medical fields and scene requirements can be rapidly met. By constructing the converted patient data, integration of multi-source data is realized, so that when the structured template is modified, traversing and searching of each data source are not needed, the data integration rate is improved, batch patient archive generation of multi-target patient IDs is supported, the patient archive generation efficiency is improved, the structured template can be stored in a template library after being designed, and the generation efficiency of the patient archives is improved. And when other application scenes need, the information can be directly called, so that the time consumption and the error probability of newly creating the patient file are reduced while the unified management of the structured template is realized. Therefore, the generation efficiency and quality of the patient file are improved.

A drug administration management method according to one embodiment disclosed herein may comprise the steps of: receiving identification information of a first drug from a pharmacist terminal; transmitting permission information corresponding to the identification information of the first drug to the pharmacist terminal; receiving customized medication guidance, in which the permission information is personalized according to patient profile information of a patient, from the pharmacist terminal, and storing the customized medication guidance in a patient information database; receiving identification information of a drug from a patient terminal and searching for the identification information of the drug in an internal database; and generating a customized administration schedule for the patient according to administration schedule information of the first drug included in the customized medication guidance if the searched identification information of the drug is the identification information of the first drug.

An example embodiment may involve receiving, by way of a user interface of a computing system, an indication of a healthcare patient profile and further input; based on the indication of the healthcare patient profile, obtaining, by the computing system, health records and genetic data of a patient associated with the healthcare patient profile; based on the health records and the genetic data of the patient and the further input, generating, by the computing system, a natural language prompt, wherein the natural language prompt contains instructions to generate a healthcare document for the patient; providing, by the computing system, the natural language prompt to a generative natural language model; receiving, by the computing system, the healthcare document from the generative natural language model; and providing, by way of the user interface, a version of the healthcare document.

Systems and / or methods for assessing the sleep quality of a patient in a sleep session are provided. Data is collected from the patient and / or physician including, for example, sleep session data in the form of one or more physiological parameters of the patient indicative of the patient's sleep quality during the sleep session, a subjective evaluation of sleep quality, etc.; patient profile data; etc. A sleep quality index algorithm, which optionally may be an adaptive algorithm, is applied, taking into account some or all of the collected data. Sleep quality data may be presented to at least the patient, and it may be displayed in any suitable format (e.g., a format useful for the patient to be appraised on the progress of the treatment, a format useful for a sleep clinician to monitor progress and / or assess the effectiveness of differing treatment regimens, etc).

The invention provides an epileptic information management method and system, and relates to the technical field of medical information management. The method comprises the following steps: firstly, performing standardization processing on multi-source heterogeneous data of a patient, and constructing a multi-dimensional patient portrait containing static, dynamic and time sequence features; secondly, performing multi-level clustering on historical patients based on treatment response and disease course evolution similarity; generating a management suggestion according to the association degree of the to-be-managed patient and the clustering cluster and the current management scene; and finally, dynamically updating the portrait and the clustering affiliation based on treatment feedback. According to the invention, by mining time sequence features and establishing a closed loop feedback mechanism, precise classification and dynamic personalized management of epileptics are realized, and the accuracy of clinical treatment recommendation is significantly improved.

Disclosed embodiments may include a method for matching patient data to clinical study sponsors. The system may receive a first data package comprising one or more first patient profiles comprising a plurality of data elements each associated with a respective patient. A data tag indicating a data type for each data element may be assigned. The first data package and the data tags are stored. Study criteria comprising inclusion and exclusion criteria for a first study are received. Each of the inclusion and exclusion criteria of the first study are mapped to a respective data tag. Based on the mapping and the data tags assigned to each data element, one or more second patient profiles from the first data package are identified that are compatible with the inclusion and exclusion criteria. Each data element associated with the identified one or more second patient profiles is shared with the user device.

This invention discloses a method, system, and medium for dynamic prediction of pregnancy complications in SLE patients, belonging to the field of medical information technology. It aims to solve the technical problems of existing risk assessment methods, such as the inability to effectively integrate multi-dimensional time-series data and the lack of causal mechanism analysis of the dynamic evolution of risk, resulting in biased, delayed, and clinically inoperable prediction results. The method includes the following steps: S1: Acquiring multimodal health data of the target patient during pregnancy as a time series; S2: Based on the multimodal health data, constructing and updating a dynamic patient profile reflecting the patient's psychosocial state, immune inflammatory activity, and target organ function; S3: Inputting the dynamic patient profile into a trained risk prediction model. This invention, by constructing a dynamic patient profile and employing a time-series deep learning model for risk prediction, achieves a comprehensive, dynamic, and mechanistically transparent risk assessment of pregnancy complications in SLE patients.

A system for real-time generation of therapeutic meal plans based on predictive analytics of patient profile data including a processor of a therapeutic plan server (TPS) node configured to host a machine learning (ML) module and connected to at least one patient-entity node over a network and a memory on which are stored machine-readable instructions that when executed by the processor, cause the processor to: receive patient profile data from the at least one patient-entity node; parse the patient profile data to derive a plurality of key classifying features; query a local database to retrieve local historical patients-related data based on the plurality of key classifying features; generate at least one classifier feature vector based on the plurality of key classifying features and the local historical patients-related data; provide the at least one feature vector to the ML module coupled to an Artificial Neural Network (ANN); receive a plurality of meal recommendation parameters from a meal plan predictive model generated by the ML module using outputs of the ANN based on the at least one feature vector; and generate a meal plan for the at least one patient-entity node based on the plurality of meal recommendation parameters.

The invention discloses an electronic medical record analysis and personalized rehabilitation recommendation method and system based on a large model, and relates to the technical field of medical information processing and artificial intelligence. Comprising the steps of collecting multi-source medical data of a patient from a hospital information system; preprocessing the multi-source medical data; fusing the preprocessed multi-source medical data, and constructing a multi-modal patient portrait; inputting the constructed patient portrait into a pre-trained artificial intelligence analysis model, and performing multi-dimensional analysis to obtain an analysis result; constructing a personalized rehabilitation recommendation engine; based on the analysis result, generating a rehabilitation recommendation scheme through a personalized rehabilitation recommendation engine; in the execution process of the rehabilitation recommendation scheme, continuously collecting feedback data of the patient, and performing incremental learning and retraining on the artificial intelligence analysis model. According to the method, the electronic medical record can be automatically and accurately analyzed, and the personalized rehabilitation recommendation scheme is generated based on the analysis result.

A clinical data interface device provides integrated portions of the electronic medical record system to identify and confirm a patient file for receiving data and personality modules for receiving and translating data from a variety of clinical device monitors for that identified patient.

Disclosed are a patient-customized training content recommendation device and a method thereof. The device includes a profile receiver that receives a patient profile including basic information and cognitive information of a patient, a cognitive ability evaluating unit that calculates a function-specific cognitive score of the patient by evaluating a cognitive ability of the patient based on the patient profile, a training recommendation unit that recommends at least one training content through an artificial intelligence (AI) rehabilitation recommendation model, and a training conducting unit that calculates a result for the training content provided to the patient through a user terminal.

1. The name of the design product: individual brain event-related brain function analysis 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 content of the graphical user interface. 4. The picture or photo that best indicates the design points: design 1 interface change state diagram 2. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: the present graphical user interface is used for individual brain event-related brain function analysis. 7. The human-computer interaction mode of the graphical user interface: design 1 main view is a patient management interface, which can create a patient file and add a task; clicking icon A of design 1 main view enters design 1 interface change state diagram 1 to create an individual brain background, which shows the position of electrodes on the patient's brain, and the specific interface is shown in design 1 interface change state 1 reference diagram; clicking "next step" of design 1 interface change state diagram 1 enters design 1 interface change state diagram 2 to create a task-based brain function area positioning map, which characterizes the activation degree of electrode nodes by color. Design 2 main view is a patient management interface, which can create a patient file and add a task; clicking icon B of design 2 main view enters design 2 interface change state diagram 1 to create an individual brain background, which shows the position of electrodes on the patient's brain, and the specific interface is shown in design 2 interface change state 1 reference diagram; clicking "enter Mapping" of design 2 interface change state diagram 1 enters design 2 interface change state diagram 2, which can create and edit intraoperative and bedside functional electrical stimulation on the individual brain background.

Systems and methods for multimodal monitoring of physiological conditions are disclosed. The systems include a sensor hub that can detect a presence of sensor devices in its environment. The sensor devices are configured to sense a parameter relevant to patient fluid inflow or outflow. The sensor hub associates at least a subset of the detected sensor devices with a patient profile and determines parameters relevant to patient fluid inflow or outflow that the associated sensor devices are capable of sensing. Based on the determined parameters, the sensor hub enters a mode of multimodal monitoring, activates sensor streams from the associated sensor devices in accordance with the mode of multimodal monitoring, establishes a secured communication channel with a patient medical record system, and transmits an update to the patient medical record system based on data received from the sensor streams.

To provide a system for improving treatment results of a patient.SOLUTION: Means for receiving, in real time, biological information and diagnosis results of a patient, storing the biological information and the diagnosis results in a cloud database, and centrally integrating the biological information and the diagnosis results with the cloud database, means for updating a patient profile in real time based on the integrated data, means for analyzing text data of an electronic medical record and extracting important medical information and patterns, means for adding an analysis result to a corresponding patient profile so that a medical professional can easily access the analysis result, and means for generating dashboard data based on information of the patient, A system comprising: means for transmitting to a terminal; means for visualizing dashboard data generated by the terminal and providing an interface for use by a medical professional; means for collecting up-to-date medical research and evidence from a cloud database; means for associating the collected medical information with patient data; and means for predicting future medical conditions and treatment effects based on historical data.SELECTED DRAWING: Figure 1

Techniques for improved data services are provided. A check-in scan indicating a user device in a medical facility is received, and a medical professional associated with the user device is identified. A patient of the medical facility is identified based at least in part on the check-in scan. Access permission of the medical professional is validated, with respect to the patient, based at least in part on the check-in scan. In response to validating the access permission of the medical professional, credentials of the medical professional are not requested, a patient profile of the patient is automatically retrieved via one or more networks, and input describing the patient, from the medical professional, is automatically stored in the patient profile via the one or more networks.

The invention relates to the field of medical equipment, in particular to a subcutaneous injection positioning device and system. Comprising a data acquisition layer used for acquiring original information related to injection, a data processing layer used for processing and analyzing acquired data and generating a positioning instruction, a data storage layer used for storing patient archives and historical injection data, and an interaction layer used for realizing man-machine interaction and positioning guidance, the data acquisition layer comprises an identification unit, a photoacoustic imaging unit and a depth camera shooting and calculating unit; the data processing layer comprises an information matching module, an organization feature extraction module, a width calibration module and a positioning decision module; the data storage layer comprises a local encryption database and a cloud database; the interaction layer comprises an AR holographic projection module and a touch feedback module. According to the method, the accuracy and safety of injection are improved, meanwhile, effective management and analysis of injection data of a patient are achieved, and support is provided for personalized medical treatment.

A handheld electronic drug request device includes a handle configured to be held by a patient, a display embedded in the handle, and a touch activation controller integrated in the handle or the display. The handheld device performs operations comprising the steps of: determining that the device is electrically coupled to a drug delivery device for delivering a drug to a patient; and in response to determining that the device is electrically coupled to the drug delivery device, receiving information related to a patient profile associated with the patient; presenting to the patient, on a display, a user interface element including information related to a patient profile associated with the patient; receiving a patient request to deliver a dose of medicament to the patient via the touch activation controller; and causing the dose of medicament to be delivered in response to the patient request.

Disclosed embodiments may include a method for matching patient data to clinical study sponsors. The system may receive a first data package comprising one or more first patient profiles comprising a plurality of data elements each associated with a respective patient. A data tag indicating a data type for each data element may be assigned. The first data package and the data tags are stored. Study criteria comprising inclusion and exclusion criteria for a first study are received. Each of the inclusion and exclusion criteria of the first study are mapped to a respective data tag. Based on the mapping and the data tags assigned to each data element, one or more second patient profiles from the first data package are identified that are compatible with the inclusion and exclusion criteria. Each data element associated with the identified one or more second patient profiles is shared with the user device.

Systems and methods are provided for a medical software platform for enabling authenticated communications between various entities to, for example, expedite a worker compensation process between the entities. For example, the medical software platform can receive healthcare and claim data as it is determined and identify relevant parties and deadlines that need to receive the data and respond to the data. This information may be associated with a patient profile. The medical software platform can provide various end users with instructions and data on how to follow and navigate the care of a worker compensation patient. The medical software platform can reduce the overall time in providing timely treatment to the patients and ensure that all the entities involved in the care of the patient are all on the same page.

The invention discloses a tumor patient individualized medication dose optimization method, which comprises the following steps: establishing a patient file, calculating an initial dose based on evidence-based knowledge, making a structured follow-up visit plan, integrating data from communities, families and patient reports, analyzing by using a fusion rule and an intelligent algorithm, and generating a dose optimization suggestion. After doctor-patient auditing, a situational medication reminding and recording tool is automatically updated and pushed, and finally continuous loop feedback and iteration of a treatment scheme are achieved; according to the invention, long-term follow-up visit and dosage decision are bound, and medication reminding, patient education and clinical support are combined, so that real-time, accurate and individualized adjustment of the medication dosage is effectively realized in a basic scene, and the treatment safety and compliance are improved.

The invention discloses a file synchronization method and platform for multiple HIS systems, and relates to the field of medical communication, and the method comprises the steps: responding to a file establishment request of a patient, determining a target HIS system, and generating a unique main index identifier; sending the unique main index identifier to a target HIS system, wherein the target HIS system is used for generating filing information; based on the filing information, a filing service message is issued to a message queue service, the message queue service is used for sending the filing service message to a corresponding non-target HIS system, and each non-target HIS system is used for determining archive information and writing the archive information back to the unified identity platform; acquiring multiple pieces of archive information, and determining patient archive data in each piece of archive information; and merging all the patient file data, and generating a patient main index based on the merged patient file data. The method can effectively solve the problem of dispersion of multi-system patient files, realizes real-time synchronization of patient data, and improves the medical service efficiency.

This invention relates to the technical field of radiotherapy information management, and more specifically, to an intelligent management system and method for the entire radiotherapy process. The system includes shelves, a mobile device, a transport device, a docking station, a cleaning mechanism, a radiotherapy information system program, and a radiotherapy storage management system program. The radiotherapy information system program is used to create patient files, and the radiotherapy storage management system program is used to manage and automatically transport radiotherapy molds. By incorporating the mobile device, transport device, docking station, cleaning mechanism, a radiotherapy information system program capable of creating patient files and sending outbound instructions, and a radiotherapy storage management system program with lifecycle management algorithms, order priority algorithms, and storage location allocation algorithms, this invention enables the entire process from admission and file creation, mold storage and retrieval, treatment execution to final cleaning, without requiring the patient to handle the molds personally.

A server system implemented by a service provider may store health data of a user according to a multi-node data structure. The server system may generate transaction records based on requests to access the health data. Responsive to requests for the transaction records, the server system may query a database that includes the health data and generate a data package based on the querying. The data package may be sent to a requesting system. The data package may be usable by the requesting system to identify which patient profiles were accessed by which physicians.

The application discloses a menopausal health comprehensive management system and method. The system interfaces with the provincial maternal and child health management system and realizes data intercommunication, and is deployed with a patient file management module, an exercise log management module, a multi-dimensional scale evaluation module, an intelligent guidance suggestion generation module, a follow-up management module and a data statistical analysis module. Each module realizes data persistence through a unified database layer, and performs cross-module data association through a unique health file number as a global index identifier, forming a complete business closed loop covering patient daily data collection, doctor professional evaluation, intelligent intervention suggestion and standardized follow-up tracking. The system aims to realize the integrated management of automatic collection of patient daily health data and doctor end professional evaluation, intervention and follow-up, and can automatically detect when multiple rules are activated and mutual exclusion suggestions are made.

Methods, apparatuses, and systems for determining a peritoneal transport status classification of a patient based on mass analyzing low volumes of peritoneal dialysis (PD) effluent evaluated using PD effluent fingerprints of known transport statuses to determine a peritoneal transport status classification of the patient are described. In one example, a method includes obtaining a volume of PD effluent of the dialysis patient, generating patient information via mass analysis of the volume of PD effluent, and determining patient profile information based on evaluating the patient information with a profile library, the patient profile information comprising a peritoneal transport status classification. The PD effluent fingerprints may include information of at least one biomarker including at least one of L-tryptophan, 2-methoxy-2-methylpopanoic acid, 2-hydroxy-3-methyl-butyric acid, L-glutamine, L-phenylalanine, L-leucine, L-serine, L-α-glycerophosphorylcholine, cis-cinnamic acid, L-tyrosine, uric acid, L-histidine, N1-acetylspermidine, L-isoleucine, 5′-methylthioadenosine, and 4-hydroxybenzoic acid.

The invention discloses a full-scene medical data acquisition method, system and device and a medium, and the method comprises the steps: obtaining the information of a health behavior, converting the information of the health behavior, constructing a plurality of data acquisition units, and configuring a label value for each data acquisition unit; according to the current label value stored in the patient file, the current label value is matched with the data acquisition unit of the corresponding label value and pushed; the data acquisition unit is used for performing data acquisition and processing the acquired data to obtain a latest index value and a label value; and updating the newest index value and the label value to the file of the patient, thereby realizing the collection of full-scene medical data, automatically constructing an individualized health behavior path map, and improving the long-term health intervention effect of chronic disease management and the like.

The invention relates to a breast cancer whole-course intelligent follow-up visit management system and method based on an evidence-based guide. The system comprises a patient file module used for acquiring an electronic health record of a patient and preprocessing the electronic health record to obtain a patient health file; the evidence-based guide module is used for performing knowledge acquisition on an evidence-based guide text based on a text extraction technology to obtain an evidence-based guide follow-up visit template; the follow-up visit personalization module is used for generating a personalized follow-up visit plan according to the patient health archive by adopting executable rule reasoning based on the evidence-based guide follow-up visit template; the interaction module is used for generating a patient interaction task and a corresponding pushing instruction according to the personalized follow-up visit plan; and the multi-modal risk assessment module is used for updating the follow-up visit health data to the patient health archive and performing risk assessment according to the updated patient health archive to obtain a multi-dimensional concurrent risk vector. By adopting the method, whole-course, personalized and intelligent follow-up visit management can be carried out on the breast cancer patient.

A system and method for determining a testing and treatment protocol for a predetermined medical condition are provided. The system comprises having a processor and a non-transitory computer readable medium, a medical evidence database written on and stored to the non-transitory computer readable medium, and a processor configured to execute the computer executable instructions embodied on the non-transitory computer readable medium, and thereby execute the present method of determining a testing and treatment protocol for a predetermined medical condition including: comparing a patient profile to a predetermined set of patient characteristics defined by a plurality of patient cohorts; matching the patient profile to a patient cohort; identifying markers for evaluation and testing based on the matched patient cohort; matching the identified markers to a plurality of test order sets; matching a treatment protocol to the patient profile based on a result returned by the test order set.