430 results about "Patient care" patented technology

The invention discloses a critical patient nursing intelligent monitoring system and method, and relates to the technical field of intelligent monitoring. Collecting physiological data and activity data of a patient in real time by using a multi-sensor system, and establishing an initial health file of the patient; according to the collected physiological data and activity data, daily activities and behavior modes of the patient are analyzed, and an individualized health baseline is established; monitoring physiological data and activity data of the patient in real time, identifying an abnormal trend, and generating an early warning signal; preferentially distributing nursing measures according to the state of the patient; the nursing measure effect is evaluated, and if the expected nursing effect is not achieved, the monitoring strategy is readjusted; according to the invention, the health state of the patient is comprehensively monitored and accurately analyzed in real time, so that abnormity can be found and intervened in time when the abnormity occurs, the patient can be nursed and treated in time, waste of nursing resources and nursing errors are reduced, and the treatment effect and the nursing quality of the critical patient are improved.

A computer implemented method for training a whole medical image foundation model, including: receiving a plurality of medical image datasets; extracting local sections of image data from the plurality of medical image datasets; obtaining one or more causal variables associated with the local sections and / or patient; training one or more self-supervised learning models based on the local sections of image data and the causal variables; combining the one or more trained self-supervised learning models with a deep learning network configured to combine a latent representation of the local sections of image data from the one or more trained self-supervised learning models into a patient-level representation; and combining, with the one or more trained self-supervised learning models and the deep learning network, at least one further network or function configured to accept the patient-level representation as input, the at least one further network or function operable to perform one or more patient-specific prediction tasks.

The invention relates to the field of hospital patient safety management, and particularly discloses a hospital patient safety management system and method based on data analysis, and the method comprises the steps: firstly obtaining the hospitalization record of a patient, the heart rate values, collected by an intelligent device, of the patient at a plurality of preset time points, and the blood pressure values, collected by the intelligent device, of the patient at a plurality of preset time points; and then feature extraction and correlation analysis are carried out on the three by using a deep learning technology, and finally whether a patient safety early warning is sent out is judged through a classifier, so that the patient nursing quality is improved, and the response speed to the health condition of the patient is improved.

A patient data charting device configured to automatically capture electronic patient care record (ePCR) data from a caregiver is provided. The device includes a memory storing an ePCR including a plurality of data fields, an output device, a microphone configured to acquire speech, and a processor. The processor is configured to convert the speech to text, identify a first value of a data field of the plurality of data fields based on the text, populate the first data field with the first value, generate a prompt that requests a second value of a second data field of the plurality of data fields based on the first data field, and present the prompt to the caregiver via the output device.

A system and method to configure a rule set used in connection with a medical monitoring system for monitoring patients and patient care equipment, especially medication delivery pumps, based on a variety of conditions and parameters associated with monitored biometric information and equipment information and for providing user-defined responses to those conditions and parameters.

A system and method for generating patient care instructions based on real-time sensor and medical data. The method includes receiving time-stamped sensor data from a sensor network comprising motion, occupancy, and environmental sensors, and receiving medical data associated with a patient, including medical conditions, treatment history, medication data, and biometric data. The sensor data is enriched with room-specific information, and activity pattern data is generated in real time using a pattern recognition model. The activity pattern data includes mobility, sleep patterns, medication adherence, statistical measures, temporal patterns, and correlations with medical data. Anomalies indicating potential health risks are detected by comparing current activity patterns with baseline data. A prediction model, trained on historical patient data, assesses the patient's health and generates care instructions accordingly. The care instructions are securely delivered to patient devices, caregiver applications, or automated medication dispensing systems, enabling timely interventions and continuous patient monitoring.

A patient care system is disclosed that includes a medical device such as an infusion pump. The medical device generates a data message containing information such as the status of the therapy being delivered, operating data or both. An alarm generating system assesses the data message from the pump and generates an alarm message if certain conditions established by a first set of rules are met. The alarm message is assessed according to a second set of rules as to whether to suppress the alarm message. The data message contains a required input for both the first and second algorithms. A dispatching system is adapted to forward the alarm message to an alarm destination according to a third set of rules. The alarm destination expresses an alarm upon receipt of the alarm message.

A method and a system for managing healthcare records of a user are provided. The method includes storing an electronic medical record related to the user in form of a non-fungible token (NFT) written to a blockchain, associating a smart contract to the NFT in the blockchain, authorizing a request to access the electronic medical record related to the user based on the defined ownership of the electronic medical record stored in the blockchain, identifying one or more NFTs from the blockchain comprising one or more electronic medical records related to the user based on processing of the identifier information in associated one or more smart contracts therewith, in response to the request, and sending the one or more electronic medical records corresponding to the identified one or more NFTs to a requestor associated with the request.

A patient support apparatus, such as a bed, cot, stretcher, operating table, recliner, or the like, include a litter frame, a support deck, a battery, an AC connector for receiving electrical power, a plurality of motorized actuators, and a control system. The control system limits the amount of electrical power available to the motorized actuators to different levels depending upon whether the AC connector or the battery is powering the patient support apparatus. The control system may also or alternatively change the power available to the motorized actuators depending upon whether a mattress therapy is currently in progress or not. Still further, the control system may pause battery recharging during actuator movement, may utilize one or electronic fuses to control power delivery, and / or wake up sleeping (or shut down) microcontrollers using a specialized network transceiver command that cause the recipient transceiver to wake up its associated microcontroller.

There may be one or more methods, systems, and devices for data management as it relates to patient care in the home or non-traditional setting. Additionally, the patient care team may be managed by one or algorithms of an application. Additionally, one or more sensors may connect to a device running a client instance of the application, which may be connected to one or more sensors that may be utilized to ensure accurate and up to date information is recorded regarding the patient.

A system and method to detect an unauthorized device coupled to an interface of a control system for a patient support apparatus. The interface may be wired or wireless, and the system and method may involve determining an operating signature of a device coupled to an interface. Based on the operating signature being consistent with a device signature stored in memory, the system may determine the device coupled to the interface is an authorized device.

The techniques may include receiving patient data of patients of a service facility, each patient assigned to a service unit. In addition, the techniques may include inputting patient data into a classification model trained to output classifications. The techniques may include determining a classification for each patient. Moreover, the techniques may include assigning each patient to a patient group based at least in part on a classification common with members of the patient group. The techniques may include determining a recommendation associated with at least one of: (1) servicing a first service resource associated with a third service unit, or (2) procuring a second service resource associated with a fourth service unit. This recommendation can be based at least in part on the classifications. Further, the techniques may include presenting on a user device of a patient care provider for coordinating patient care among service units of the service facility.

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 present invention relates to a virtual reality (VR) system and method for enhancing medical training. Integrating advanced hand tracking technology with a VR headset, this system offers an immersive training environment for a variety of medical procedures, including CPR, emergency medical interventions, and physical examinations. The hand tracking sensors provide precise monitoring of hand movements, allowing for gesture-based interaction without physical controllers. The system includes several modules for different medical scenarios, each designed to accurately replicate medical techniques and provide real-time feedback. Key innovations include haptic feedback, adjustable difficulty levels, interactive tutorials, and an AI-driven virtual instructor for a personalized training experience. The system is particularly beneficial for training healthcare professionals in critical skills necessary for effective patient care in emergency situations, representing a significant improvement over traditional training methods.

The present invention relates to a smart mattress that primarily uses non-contact sensors to measure the user's physiological data. Through a non-contact sensing method, it is capable of detecting REM sleep stages, monitoring heart rhythm, and measuring vital information such as respiration, as well as recording and storing physiological data such as bed-leaving movements and sleeping position. By connecting to a mobile device or a computer via a control box, all the recorded information can be displayed as a screen output or uploaded to a cloud database for storage. This enables long-term measurement of the user's physiological data or real-time monitoring, thus contributing to targeted patient care.

In some examples, an ambulatory medical device is provided. The ambulatory medical device includes at least one sensor configured to acquire data descriptive of the patient, one or more processors in communication with the at least one sensor, a patient care component executable by the one or more processors, and a limited functionality component executable by the one or more processors. The patient care component is configured to perform one or more primary operations of the ambulatory medical device at least in part by accessing the data descriptive of the patient. The limited functionality component is configured to exchange information with a communication device and to not affect the one or more primary operations of the ambulatory medical device.

The invention discloses a multiple myeloma patient nursing management system and method, and relates to the technical field of medical nursing, and the method comprises the steps: obtaining the medical data of a multiple myeloma patient through a data fusion platform, and integrating the medical data through a multi-source heterogeneous data set; making a medical plan for the multiple myeloma patient based on the preprocessing result of the medical data; and performing intervention suggestion on the medical plan according to the medical treatment decision model to complete nursing management of the multiple myeloma patient. According to the method, efficient integration and high-quality processing of medical data are achieved, abnormal data can be recognized and repaired in time, the accuracy and safety of a medical plan are ensured, and the nursing quality and the treatment effect of multiple myeloma patients are remarkably improved in combination with intervention suggestions of a medical treatment decision model.

The invention provides a lung expiration training system for nursing a patient outside a chest, which relates to the technical field of medical rehabilitation training and comprises a respiratory signal acquisition module, a main control and signal processing module, a feedback and excitation module and a data management and scheme customization module, the respiratory signal acquisition module is used for acquiring an instantaneous pressure difference signal in the expiration process of a patient in real time by utilizing a differential pressure type flow sensor; the main control and signal processing module converts the pressure difference signal into instantaneous flow, obtains an expiration flow-time curve, a primary expiration amount and expiration efficiency based on discrete sampling, smooth operation and integral calculation, and calculates an error sum of squares and a curve goodness of fit to form a comprehensive control amount; the feedback and excitation module provides visual, auditory or tactile feedback according to the comprehensive control quantity, and can present a gamification interface to guide the patient to adjust the breathing rhythm; the data management and scheme customization module is used for setting a personalized training scheme and recording training data, and the trend analysis unit generates a rehabilitation trend report based on historical indexes.

A cloud-based, AI-powered data analytics platform for personalized healthcare and therapy, consisting of: • A data collection module configured to capture patient data from various sources, including electronic health records (EHRs), wearable devices, and sensors; • A cloud storage module configured to securely store the collected data in a cloud environment; • A data processing module configured to preprocess the collected data by removing noise and standardizing formats for analysis; • A computer and machine learning module configured to analyze pre-processed data and identify patterns to generate personalized healthcare insights; • A user interface configured to provide medical professionals with an intuitive interface for interacting with the system, viewing insights, and managing patient care.

Systems, methods, and devices involve approaches for limiting the number of detected cardiac events for which a physician is alerted. Approaches involve detecting cardiac events based on electrocardiogram (ECG) data and associating the cardiac events with a criticality. ECG data associated with a subset of the cardiac events is transmitted to a remote computing system based, at least in part, on the criticality. An electronic notification is transmitted to a patient care group regarding at least one of the cardiac events in the subset. Approaches further include determining whether an acknowledgement of the electronic notification has been received by the server from the patient care group within a set period of time.

In one embodiment, a method for presenting information along plural stages of patient care, the method comprising: initializing an interactive flow diagram (88) based on data, the interactive flow diagram based on an underlying data model, the interactive flow diagram comprising nodes (92) comprising an aggregated visual representation of key-value pairs, columns (90) comprising a stacked bar visualization of the nodes, and links (16) between the nodes; displaying the interactive flow diagram; and dynamically updating the interactive flow diagram based on user interactions with the interactive flow diagram, the interactions resulting in updates to the underlying data model that change an arrangement of at least one of the nodes, the columns, or the links.

A system for electronic patient care includes a gateway and a medical device. The gateway is configured to provide at least one of a routing functionality, a medical device software update, and a web service. The medical device is configured to operatively communicate with the gateway using the web service.

A method and system enhances patient care through a sophisticated data-driven decision support platform. Initially, it begins by receiving patient data, which lays the groundwork for the method. Then, it proceeds to use this patient data to ascertain one or more possible medical conditions that the patient might have. In response to these conditions, the method involves guiding a user—likely a healthcare practitioner—to appropriate resources that are specifically chosen based on the identified conditions, favorably facilitating further medical understanding, treatment, or investigation.

The invention discloses a bone fracture patient nursing transfer device, and relates to the technical field of medical instruments, the bone fracture patient nursing transfer device comprises a transfer bed body, the bottom of the transfer bed body is fixedly connected with a plurality of supporting legs, and one side of the transfer bed body is movably connected with a headrest part for placing the head of a wounded person. Firstly, the position between the injured leg supporting plate and the leg bending plate is adjusted according to the position of the injured leg side of a wounded person, then the wounded person lies on the transferring bed body on the side, the head is located at the headrest part, the back or the abdomen of the wounded person is attached to one side of the opened side top plate, and then the injured leg is placed on the injured leg supporting plate at the position below; when a patient is injured, the other good leg can be bent and placed on the bent leg plate, then the side check block slides towards one side so that the side check block can be attached to the back or the abdomen of the patient, then the injured leg part, the uninjured leg part and the trunk part of the injured person are fixed through the trunk binding assembly, the injured limb binding assembly and the good limb binding assembly in sequence, and secondary injury is avoided.

A transducer interface system / method allowing conversion from an analog sensor input to a standardized analog output interface is disclosed. In some preferred embodiments the system / method permits a fiber optic pressure sensor to be interfaced to a standard patient care monitor (PCM) system using standardized Wheatstone Bridge analog interface inputs. Within this context the Wheatstone Bridge sensed output is defined by stimulus from the PCM and modulation of bridge element values by the conditioned output of an analog pressure sensor. The use of analog-to-digital-to-analog conversion in this transducer interface permits retrofitting of PCM devices having analog Wheatstone Bridge inputs with advanced patient monitoring sensors without the need for specialized modifications to the baseline PCM data collection framework. Methods disclosed herein include techniques to connect arbitrary types / numbers of analog sensors to traditional PCM systems without the need for PCM system hardware / software modifications.

A patient care system for treating a patient is provided. The patient care system includes a patient transport apparatus, a chest compression system configured to provide automatic chest compressions to a patient, and a retainer for securing the chest compression system to the patient. The patient transport apparatus includes a base, an intermediate frame arranged for movement relative to the base, and a patient support deck which defines a patient support surface. The chest compression system includes a driver having a driver body movably supporting a plunger, and a driver frame to support the driver adjacent to the chest of the patient. The retainer includes a collar releasably engageable with the chest compression system, and a brace including a shoulder support and a retainer frame. The shoulder support is arranged to abut a shoulder of the patient and to brace the chest compression system relative to the patient.

An embodiment relates to systems and methods to deliver medications precisely within body of a subject as prescribed and tailored to individual needs. The system comprises a miniaturized implantable drug delivery device that dispenses drugs subcutaneously with controlled precision; a stable drug formulation that remains effective at body temperature; a biosensor that continuously monitors at least one of a drug level and health markers; and an analytics platform that analyses data to optimize drug delivery in real-time, ensuring highly personalized and effective patient care.

A digital healthcare ecosystem to transform patient care with real-time queue management, including: an appointment and laboratory test booking module configured to allow patients to easily book and schedule doctor consultations and diagnostic tests; a healthcare provider module configured to manage appointments, patient records, billing, internal laboratory and pharmacy integration, and operational analytics, with the healthcare provider module configured to manage dashboard features for physicians, hospital administrators, and laboratory technicians to monitor and update patient status; a real-time queue management module coupled to the healthcare provider module and the appointment and laboratory test booking module, wherein the real-time queue management module is configured to assign a digital token number to patients upon booking once accepted by the healthcare provider module, wherein the real-time queue management module is configured to update the queue position of patients using time-stamped data; a patient interface configured to allow patients to view real-time queue updates, book appointments, and access lab reports using the digital token number; a notification system configured to send notifications to patients and physicians regarding appointment reminders, queue progress, and follow-up instructions; a cloud-based server configured to securely store patient data and enable seamless communication between the patient interface and the healthcare provider module; a display unit configured to show estimated waiting times and notify patients when it is their turn; and a dynamic scheduling module configured to take into account physician availability, patient preferences, and historical data to minimize waiting times and avoid overbooking.

A system for electronic patient care includes a gateway and a medical device. The gateway is configured to provide at least one of a routing functionality, a medical device software update, and a web service. The medical device is configured to operatively communicate with the gateway using the web service.