18 results about "Patient discharge" patented technology

Provided herein are computerized system and method for full patient flow management through an emergency department process, integrating multi-agents LLM. The system and method utilize a plurality of LLM-based agents configured to perform one or more of: extract relevant medical information and generate a summarized medical history; interactively questioning the subject regarding its medical history and regarding the main complaint(s); provide recommendations regarding various medical examinations; process the summarized medical history and the results of the recommended medical examination(s) and; provide further summary, recommendations or instructions, regarding diagnosis and a decision regarding discharge or admission of the subject.

A system for providing communications on mobile devices located in a healthcare facility receives a notification identifying a patient admitted to the healthcare facility, creates a patient-centric chat room based the notification, and adds caregivers to the patient-centric chat room. The system provides messaging communications in the patient-centric chat room, and terminates the patient-centric chat room after the patient is discharged from the healthcare facility.

The application relates to the technical field of medical artificial intelligence, and particularly discloses an acute pancreatitis chronicity risk prediction system and method and a storage medium, the system comprises a parameter acquisition module, a model training module, a risk prediction module, a risk stratification module, an AI analysis module and an interface interaction module, the parameter acquisition module is used for acquiring clinical parameters and enhanced variables of a target patient; the model training module is used for constructing a risk prediction model and an enhanced risk prediction model; the risk prediction module is used for predicting a prediction risk probability of the target patient in chronic pancreatitis after being discharged from hospital; the risk stratification module is used for dividing the target patient into a low-risk group, a medium-risk group or a high-risk group, and generating a risk stratification result; the AI analysis module is used for generating a clinical interpretation report; and the interface interaction module is used for displaying the prediction risk probability, the risk stratification result and the clinical interpretation report, so that high-risk patients with chronic pancreatitis can be effectively identified at an early stage, and a personalized follow-up scheme can be assisted in being formulated.

The invention provides an intelligent medicine box based on patient discharge medication. The intelligent medicine box comprises a hardware body and a matched control module. The matched control module comprises a remote information input sub-module, a data storage sub-module, a trigger control sub-module, a medicine approval sub-module and an intelligent analysis and decision-making sub-module; the remote information input sub-module obtains data related to diagnosis and treatment of a patient from a hospital end; the data storage sub-module collects and stores various data; the trigger control sub-module triggers the corresponding multimedia elements based on the signals returned by the elements of the various sensing units; the intelligent analysis and decision submodule formulates a personalized medication strategy based on the data from the hospital end and the physiological life data of the patient. Through the medicine box, the effect of guarding the medication safety of a patient after the patient is discharged from a hospital is achieved.

The invention discloses a ternary linkage type heart rehabilitation training method and related equipment, and relates to the field of medical nursing, and the method comprises the steps: constructing a hospital-community-family ternary linkage intelligent database and a remote rehabilitation guidance platform; the hospital screens the patients according with the rehabilitation indications and incorporates the patients into a remote rehabilitation guidance platform, and a rehabilitation revival number is generated; when the target patient is discharged from the hospital, the hospital formulates a personalized rehabilitation prescription, uploads the personalized rehabilitation prescription to the remote rehabilitation guidance platform, and synchronizes the personalized rehabilitation prescription to the community medical terminal and the patient family terminal rehabilitation instrument; follow-up visit, medicine prescription continuing and rehabilitation execution supervision are carried out on a patient through the community end, remote guidance and prescription adjustment are carried out by the hospital end according to platform dynamic data, and hospital-community-family ternary closed-loop management is achieved. According to the method, the defects of information isolated island and execution disjunction in a traditional rehabilitation system are overcome, and the safety, the intelligence and the patient compliance are improved.

The invention provides a clinical pathway and DRG cost collaborative management and control method and system. The method comprises the following steps: acquiring multi-source heterogeneous medical data; constructing a medical knowledge graph based on the medical data; reasoning the initial diagnosis and treatment information of the patient based on the medical knowledge map, and predicting and outputting a recommended clinical path of the patient and a corresponding DRG pre-grouping result; monitoring the deviation between the actual diagnosis and treatment behavior of the patient in the diagnosis and treatment process and the recommended clinical path and the difference between the actual cost and the DRG pre-grouping cost in real time, and performing intervention when a preset condition is triggered; and collecting complete diagnosis and treatment process data and a path execution result after the patient is discharged from the hospital, and feeding back an analysis and evaluation result to the medical knowledge graph after analysis and evaluation so as to carry out iterative optimization on the knowledge graph. According to the application, the originally isolated clinical pathways, DRG grouping, patient diagnosis and treatment and cost information are deeply fused and associated, and a rigid and static management mode of the traditional clinical pathways is broken through.

The utility model relates to the technical field of medical examination, and discloses a medical examination urine collection device which comprises a urine collection tank, the right end of the urine collection tank is fixedly connected with the left end of a grip, the surface of the grip is fixedly connected with the inner wall of an anti-skid sleeve, and the front end of the urine collection tank is fixedly connected with the front end of a classification board. The bottom end of the urine collecting tank is fixedly connected with the top end of the anti-skid pad, the rear end of the urine collecting tank is fixedly connected with the rear end of the graduated scale, the left end of the urine collecting tank is fixedly connected with the right end of the urine outlet pipe, and the top end of the urine outlet pipe is in transmission connection with the bottom end of the urine outlet valve. A user firstly opens the tank cover, and the tank cover is opened by rotating around the rotating block. And then, the patient discharges the urine into the urine collection tank. The structural design of the urine collection tank ensures that the urine can smoothly enter the tank and does not leak. In the collection process, the classification board can mark related information or inspection items and other contents of the patient in advance, and follow-up recognition is facilitated.

The invention discloses an elderly patient discharge standard evaluation system and method based on a standard reaching theory, and relates to the technical field of medical evaluation, the system comprises a data acquisition module, a preprocessing module, a hierarchical mapping evaluation module, a family function evaluation module and a comprehensive standard reaching judgment module; according to the invention, through the hierarchical mapping evaluation module, the basic standard reaching layer, the optimized standard reaching layer and the personalized standard reaching layer are divided based on the treatment process parameters, the refined evaluation of each link of the treatment process is realized, the standard reaching rate of each level can be quantified, and the overall standard reaching score can be calculated through a hierarchical mapping evaluation score algorithm; the standard reaching condition of the treatment process is visually reflected, and more importantly, when the standard reaching rate of any level is lower than a threshold value, the defects in the treatment link can be accurately positioned by marking short plate parameters, scientific support is provided for providing targeted improvement suggestions for medical staff, and therefore the treatment effect is improved, and it is ensured that a patient is discharged from a hospital safely.

The invention discloses a respiratory action tracking and recording solution. The recording scheme comprises the following steps: logging in an applet, registering an account and filling basic information, selecting a hospital and a doctor, importing patient data, and automatically making a training plan according to the patient data. The method comprises the following steps: providing a corresponding training rehabilitation video according to a formulated training plan, playing the training rehabilitation video by a training module and performing man-machine interaction, transmitting an action image when a patient follows the training to a monitoring module in real time, detecting the action strength and the action standard degree by the monitoring module, and analyzing respiratory frequency and depth data according to the respiratory action of the patient; if the monitoring module monitors that the action is not standard, voice prompt is carried out until the training item is completed. The system is convenient to use, and can achieve tracking and recording when a patient is not supervised by professionals and returns to home.

This application discloses a BCRL risk prediction method and management system based on a patient 360-degree view, belonging to the field of medical information technology. This application obtains static medical data of patients from a locally pre-set patient 360-degree view system and dynamic postoperative data of patients before discharge; based on the static medical data and dynamic postoperative data, a pre-set risk scoring model is used to determine the real-time risk value of lymphedema in patients; and based on the real-time risk value, static medical data, and dynamic postoperative data, the postoperative recovery level of target patients is risk-stratified; based on the risk stratification results, an adaptive follow-up plan is generated, wherein the adaptive follow-up plan includes at least differentiated follow-up frequencies and follow-up content for different patients and / or the same patient; the adaptive follow-up plan is sent to relevant medical personnel for execution, and for regular monitoring of the postoperative lymphedema risk of each patient.

System, methods and computer storage media are disclosed for providing a decision support tool for reducing readmissions of AMI patients through early prediction of readmission. An AMI patient may be identified using a working diagnosis and / or an elevated troponin level. One or more machine learning models may be utilized to predict readmission at a time prior to discharge. Based on the prediction, an intervening action may be automatically initiated. Further embodiments include training machine learning model(s) to predict readmission of an AMI patient. In some embodiments, a first model may be trained using reference patient data as it existed at a predetermined time following the patient's admission (e.g., 12 hours after admission), and a second model may be trained using reference patient data as it existed at a later time (e.g., discharge). Readmission risk scores from each model may be combined to determine an overall risk for an AMI patient.

The utility model relates to the technical field of urine collector, and disclose a special urine collector after operation, including device body, device body includes: fixed trousers outside is provided with urine cover, and penetrates fixed trousers, catheter is set up in one end of urine cover, one end of catheter is provided with collection assembly, collection assembly includes: connecting pipe is set up in one end of catheter, rotating block is set up in the bottom of connecting pipe, shunt is set up in the bottom of rotating block, and with rotating block rotation connection, rotating block is provided with the flow guide hole of cooperation shunt, collection bottle is set up in the bottom of shunt, the inside of symmetrical partition board of collection bottle, positioning assembly is set up on rotating block and shunt, through collection assembly makes every time the urine of patient discharged can carry out separate collection, thereby the convenience medical staff to patient multiple urine of discharging observes and compares, reduced the work load of medical staff, improved the flexibility and practicality of the special urine collector after operation.

A system for providing communications on mobile devices located in a healthcare facility receives a notification identifying a patient admitted to the healthcare facility, creates a patient-centric chat room based the notification, and adds caregivers to the patient-centric chat room. The system provides messaging communications in the patient-centric chat room, and terminates the patient-centric chat room after the patient is discharged from the healthcare facility.

Various methods and systems are provided for predicting a discharge date of a patient of a healthcare facility. In one embodiment, a method for a patient management system of a healthcare facility comprises receiving a selected confidence level from a user of the patient management system; predicting a date for discharging a patient of the healthcare facility using a trained discharge date prediction model, based on a set of patient data of the patient, the discharge date prediction model trained on historical patient data of the healthcare facility; based on the received confidence level and an output of the trained discharge date prediction model, predict a discharge date window of the patient; generating a predicted discharge date window element summarizing the discharge window prediction in a user interface (UI) of the patient management system; and displaying the UI on a display device of the patient management system.

[Problem] To construct a network for sharing information between medical institutions and a patient or patient's family, ascertain, within this network, the present state of an illness of the patient, the degree of nursing care therefor, and a history of transfer between facilities, and to give advice related to facility selection so that appropriate medical care and nursing care can be received as necessary. Additionally, to facilitate appropriate selection of a future referral destination of a discharged patient by evaluating actual conditions of medical care and nursing care received at facilities from the viewpoint of the patient or patient's family. Furthermore, to refer an appropriate facility in consideration of the medical condition and state of nursing care to a discharged patient, as well as when a request for a referral to an in-patient facility has been received from a patient or patient's family. [Solution] Provided are: a facility registration means for registering facility names of medical institutions and care facilities; a registration means for discharged patients; and a transfer history management means for managing the history of transfer between the facilities after discharge of the patient.

The invention provides an iodine-131 treatment patient discharge monitoring system, and the method comprises the steps: carrying out the initialization modeling, and generating an initial attenuation curve based on a physical half-life period; introducing a composite attenuation model containing double components of physical decay and biological metabolism; periodically receiving actually measured environment dose rate data reported by the patient terminal; performing intelligent dynamic calibration on metabolic component parameters in the composite model by using time sequence measured data to generate a personalized dynamic attenuation curve; predicting a future accumulated exposure dose based on the curve and performing risk assessment; customized closed-loop safety intervention is automatically executed according to an evaluation result, and the method relates to the technical field of medical health information technology and radiation protection, and realizes conversion from static general management to dynamic precise intelligent protection by deeply fusing a theoretical physical model, an individual physiological metabolism model and real-time monitoring data. And the accuracy, the initiative and the compliance of radiation safety risk management are remarkably improved.

The application discloses a diabetes patient discharge preparation analysis method and system based on data fusion, and relates to the technical field of medical data processing. The method comprises the following steps: obtaining in-hospital blood glucose monitoring data, complication risk assessment data, life habit data, patient willingness data and home blood glucose safety threshold of a patient to be analyzed; constructing a metabolic evolution model according to the in-hospital blood glucose monitoring data and the life habit data; inputting the complication risk assessment data into the metabolic evolution model to calculate an initial risk envelope boundary; identifying a high-risk scene according to a self-management deviation degree and comparing the high-risk scene with the home blood glucose safety threshold to generate a target risk set; extracting a risk subset to be processed based on the target risk set and matching the risk subset to a evidence-based knowledge base, and combining the patient willingness data to generate candidate discharge care suggestion data for medical staff to review. The application improves the consistency and reproducibility of home risk identification, and reduces the false negative rate of metabolic abnormal events that exceed the absolute threshold.

The present application relates to the technical field of patient monitoring, and particularly relates to an emergency slow severe patient adaptive follow-up data acquisition and dynamic evaluation system. The system comprises a baseline twin module, which is used for constructing a digital twin baseline vector representing individualized steady state of a patient and an inherent fluctuation range of the vector based on in-hospital clinical data, standardized multi-modal images and physiological characteristics when the patient is discharged; a non-sensing acquisition module, which is used for performing low-burden and non-contact daily sparse acquisition of facial video, gait video and body surface image of the patient through a mobile terminal camera in an out-of-hospital environment, and extracting multi-modal physiological and motion characteristics in real time; and a deviation mapping module, which is used for projecting the characteristics acquired each time to the same characteristic space as the baseline vector through a shared embedding network, and generating a multi-dimensional deviation vector reflecting the deviation degree and deviation mode of the current state of the patient relative to the baseline of the patient.