34 results about "Patient discharge" patented technology

The invention relates to the technical field of medical management, in particular to a medical insurance, medical treatment and finance integrated collaborative management system which comprises a data integration module, a DRG intelligent management module, a medical service management module and a finance and operation management module. The DRG intelligent management module is used for grouping the patients according to the illness state data of the patients in combination with a DRG grouping rule and generating unique codes; the DRG intelligent management module is also used for acquiring a doctor's advice issued by the doctor in real time, calculating treatment cost, hospital cost and income according to the doctor's advice issued by the doctor, and associating the treatment cost with the code of the patient; the DRG intelligent management module is also used for obtaining the treatment cost of the patient according to the code of the patient when the patient is discharged from the hospital, and calculating the medical insurance payment amount and the self-payment amount of the patient in combination with the medical insurance policy and the medical insurance settlement rule. The system is complete in logic, and can effectively improve the financial management capability of hospitals.

The invention relates to the technical field of medical health monitoring and neural networks, and provides a chronic obstructive pulmonary disease patient leaving hospital monitoring system which comprises the steps that multi-source data of a patient is acquired, and the multi-source data at least comprises daily health monitoring data and electronic medical record data; preprocessing and feature extraction are conducted on the multi-source data through a data processing module, health feature data of the patient are obtained, and the health feature data are features related to the chronic obstructive pulmonary disease condition selected from the multi-source data and comprise features based on respiratory functions, features based on lifestyles and behaviors and features based on complications and complications; and features based on drug use; integrating and updating the health feature data through a patient health condition evaluation module, and performing clustering analysis on the integrated and updated real-time health data by adopting a density-based clustering algorithm DBSCAN to obtain a health portrait of the patient; the health portrait is analyzed through a medical large model analysis module, an illness state evaluation result and a health management suggestion are obtained, and a deep learning model designed by combining a convolutional neural network CNN with a multi-modal model architecture of an attention mechanism Transform is used in the medical large model analysis module; remote monitoring, interactive communication and personalized intervention operation are executed through the remote medical intervention module according to the illness state evaluation result.

The invention belongs to the field of rehabilitation medicine, and particularly relates to a hospital discharge preparation degree evaluation system for sports injury patients. The system comprises an acquisition module, a processing module, an analysis module and an evaluation module. The acquisition module receives a diagnosis and treatment medical record of the patient sent by the medical care terminal, the diagnosis and treatment medical record comprises medical advices, and the three-axis acceleration of the affected part of the patient is monitored according to the content of the diagnosis and treatment medical record; the processing module is used for acquiring the three-axis acceleration, acquiring the movement duration of the affected part of the patient according to the acquisition time and the change period of the three-axis acceleration, and combining the movement duration with the change period and the peak value of the three-axis acceleration to quantify the movement intensity of the affected part of the patient; the analysis module is used for acquiring the exercise intensity and the doctor's advice of the affected part of the patient, comparing the exercise intensity with the doctor's advice and calculating the similarity between the exercise intensity and the doctor's advice. According to the scheme, the problems that the preparation degree evaluated by an existing hospital discharge preparation degree evaluation mode of the sport injury patient is inaccurate, and the actual condition of the patient is difficult to reflect truly and comprehensively are solved.

The invention relates to a patient post-hospital follow-up visit system and a follow-up visit method, and relates to the technical field of medical treatment, and the system comprises a risk index module which is used for determining a risk index after a patient is discharged from a hospital; the follow-up visit frequency module is used for determining personalized follow-up visit frequency obtained by dynamically adjusting the risk index of the patient; the priority determination module is used for determining the task priority of the patient follow-up visit task; an integrity evaluation module for determining a data integrity indicator for evaluating the multi-modal data of the patient; the health early warning module is used for determining an early warning value for evaluating the health state of the patient according to the risk index of the patient, the personalized follow-up visit frequency, the task priority and the four-dimensional parameter set of the data integrity index; and the comprehensive evaluation module is used for determining a comprehensive evaluation index of the follow-up visit effect according to a ternary evaluation system of the early warning score, the data integrity index and the patient compliance parameter in combination with a configurable weight coefficient. The system can improve the follow-up visit effect of the patient.

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.

A method (100) for determining a home care enhancement probability for an inpatient, comprising: (i) receiving (120) patient data from a medical record database; (ii) extracting (130) a set of promoted probability features from the received patient data; (iii) analyzing (140) the boosted probability feature set by a trained boosted probability algorithm (263) at a first point in time to determine a boosted probability of discharge of the hospitalized patient relative to continued hospitalization; (iv) comparing (150) the determined lifting probability to a predetermined lifting probability threshold to determine a recommendation, where the recommendation is to keep the inpatient hospitalized when the determined lifting probability is below the predetermined lifting probability threshold, and where the recommendation is to keep the inpatient hospitalized when the determined lifting probability is below the predetermined lifting probability threshold. When the determined lifting probability is higher than the predetermined lifting probability threshold, the recommendation is to discharge the inpatient; and (v) providing (160) the recommendation to the user via a user interface.

The present application relates to the field of home medical monitoring and provides a method and system for predicting the risk of coronary heart disease. The method includes obtaining behavioral data of a user after a physical examination and determining the user's behavior pattern based on the behavioral data; obtaining corresponding influence weights and influence factors based on real-time detection data under the user's behavior pattern; adjusting the most recent physical examination data based on the influence factors and influence weights to obtain predicted physical data; and initiating an alarm when the predicted physical data meets a preset health risk condition. The system fine-tunes the most recent physical examination data based on the user's behavior, thereby estimating the physical condition under the state corresponding to the current user's behavior data, and then estimating the predicted physical data to determine whether there will be health risks, thereby estimating the patient's physical condition after discharge, and making an early prediction of the physical condition.

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.

A method (100) for determining a home care uplift probability for a hospitalized patient, comprising: (i) receiving (120) patient data from a medical record database; (ii) extracting (130) an uplift probability feature set from the received patient data; (iii) analyzing (140), at a first time point, the uplift probability feature set by a trained uplift probability algorithm (263) to determine an uplift probability for discharge of the hospitalized patient versus continued hospitalization; (iv) comparing (150) the determined uplift probability to a predetermined uplift probability threshold to determine a recommendation, wherein the recommendation is to keep the hospitalized patient hospitalized when the determined uplift probability is below the predetermined uplift probability threshold, and wherein the recommendation is to discharge the hospitalized patient when the determined uplift probability is above the predetermined uplift probability threshold; and (v) providing (160), via a user interface, the recommendation to a user.

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.

To enable estimation of items that may influence a patient's discharge.SOLUTION: A nursing necessity analysis device comprises a contribution item analysis unit 10 that analyzes items whose variations in nursing-necessity values contribute to a patient becoming possible to be discharged, with nursing-necessity values of each item at the time immediately before discharge during a hospitalization period as discharge-possible state item values, and nursing-necessity values of each item during the hospitalization period prior to the time immediately before discharge as discharge-impossible state item values on the basis of patient-specific history information in which transitions of nursing necessity during the hospitalization period are recorded for each item. The device can estimate nursing-necessity items that may be influencing the patient's discharge by analyzing items that may contribute significantly to the patient becoming possible to be discharged on the assumption that the patient becomes possible to be discharged as a result of the nursing-necessity values of each item at times earlier than the time immediately before discharge shifting to the nursing-necessity values at the time immediately before discharge.SELECTED DRAWING: Figure 1

The invention relates to the technical field of ward disinfection, and discloses a self-disinfection bedside table used for a ward and remotely controlled through a hospital HIS system, the self-disinfection bedside table comprises a bedside table main body, two drawers are movably installed at the upper end of one side of the bedside table main body, and ultraviolet disinfection modules are arranged in the drawers; an ozone disinfection module and a driving part are respectively mounted on the inner wall of the bedside table main body; through cooperative use of the ultraviolet disinfection module and the ozone disinfection module, three-dimensional disinfection of the internal space of the bedside table and the surface of the bedside table is achieved, dual disinfection technologies cooperate for disinfection, the disinfection effect is guaranteed, the sterilization rate is increased, and through connection of the control module and a hospital HIS system, the disinfection system can be automatically started when a patient is discharged from a hospital or admitted to the hospital. The disinfection effect is monitored; through the design of the door opening sensing module, in the self-disinfection process, if the cabinet door is accidentally opened, the disinfection process is automatically stopped, ultraviolet rays / ozone are prevented from leaking, and manual interference on disinfection is avoided.

The utility model relates to a clinical medical examination sampling device. The clinical medical examination sampling device comprises a collecting funnel and a catheter, the catheter comprises a connecting pipe section, an arc-shaped pipe section and a storage tank body which are communicated with one another, the connecting pipe section and the arc-shaped pipe section are integrally formed, and a liquid outlet of the arc-shaped pipe section faces the sanitary ware; the connecting pipe section is fixedly connected with the collecting funnel, and the collecting funnel is communicated with the connecting pipe section; the storage tank body and the arc-shaped pipe section are integrally formed, the storage tank body is communicated with the arc-shaped pipe section, the storage tank body is used for temporarily storing urine, and the volume of the storage tank body is larger than the urine amount required by detection. In the application, a patient discharges midstream urine into the collecting funnel, and the urine is discharged into the sanitary ware through the collecting funnel and the catheter; when urine flows through the arc-shaped pipe section of the catheter, part of the urine flows to the storage tank body to be stored; therefore, the patient does not need to specially control the urine output, and the sampling device can sample urine.

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.

According to the use method of the intelligent center-of-gravity transfer trainer, the intelligent center-of-gravity transfer trainer comprises a center-of-gravity moving device and a controller, the center-of-gravity moving device comprises an arc-shaped swing plate and a swing pointer, and the controller comprises a left gravity sensor, a right gravity sensor, a displayer, a left distance measuring sensor and a right distance measuring sensor; during use, under the guidance of a doctor, a rehabilitation patient uses the left foot and the right foot to control the arc-shaped swing plate to swing, and uses the swing pointer to indicate that the gravity center moves leftwards or rightwards; meanwhile, center transfer data are detected through a left gravity sensor, a right gravity sensor, a left distance measuring sensor and a right distance measuring sensor of the controller and displayed through a displayer, during rehabilitation training of the patient, accurate data of gravity center transfer gravity and transfer proportion of the patient are provided for a doctor, and the patient can see the gravity center transfer condition of himself / herself; a basis is provided for a doctor to formulate a next medical scheme; in addition, the intelligent gravity center transfer trainer can also be used for home rehabilitation after the patient leaves the hospital.

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 method (100) for determining a probability of improvement in home care for an inpatient, comprising: (i) receiving (120) patient data from a medical database; (ii) extracting (130) a probability of improvement feature set from the received patient data; (iii) analyzing (140) the probability of improvement feature set at a first time point by a trained probability of improvement algorithm (263) to determine a probability of improvement for discharging the inpatient versus continuing inpatient treatment;(iv) comparing (150) the determined probability of improvement with a predetermined probability of improvement threshold to determine a recommendation, wherein the recommendation is to keep the hospitalized patient in the hospital if the determined probability of improvement is below the predetermined probability of improvement threshold, and wherein the recommendation is to discharge the hospitalized patient if the determined probability of improvement is above the predetermined probability of improvement threshold; and (v) providing (160) the recommendation to a user via a user interface;

The invention discloses a medical oxygen inhalation mask, and relates to the technical field of oxygen inhalation masks, the medical oxygen inhalation mask comprises a sputum suction machine and an atomization machine, the top of the atomization machine is provided with a humidification pipeline, the end portion of the humidification pipeline is provided with a sputum suction cover in an inserted connection mode, the sputum suction cover is fixedly provided with a sputum suction mask, and the two ends of the sputum suction mask are fixedly provided with hook-and-loop fasteners. By arranging a limiting block, an arc-shaped groove, a telescopic rod, a first adjusting disc, two first fan-shaped grooves, two second fan-shaped grooves, a second adjusting disc and two third fan-shaped grooves, under the condition that a patient discharges much thick sputum, the second fan-shaped grooves are switched to be opened in a staggered mode, the sputum hung on the wall is sucked out in a targeted mode, and the patient can conveniently take out the thick sputum. A first fan-shaped groove is blocked while a second fan-shaped groove is adjusted to be opened, it is guaranteed that the caliber for sputum to pass through is small, the suction force of sputum suction is high, the sputum suction efficiency of the sputum suction machine is improved, and through arrangement of an abutting block, sputum on the inner side wall of the hollow cylinder is comprehensively sucked out.

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.

Examples of the disclosure include a method of operating a patient-discharge-optimization system to improve medical outcomes, the method comprising: accessing, from memory and / or storage, historical patient flow information including a plurality of timestamped events for each of a plurality of patients; converting, by the discharge-optimization system, the historical patient flow information into standardized flow information having a standardized format defined by a plurality of standardized parameters; generating, by the discharge-optimization system, a plurality of models, each model indicating an effect of modifying at least one parameter of the standardized parameters for each of the patients; deriving, by the discharge-optimization system and based on the models, an optimal discharge histogram for one or more days; forecasting, based on the historical patient flow information, an anticipated future number of discharges for the day(s); deriving an optimal patient discharge timetable for the day(s); and providing the optimal patient discharge timetable to users.

Examples of the disclosure include a method of operating a patient-discharge-optimization system to improve medical outcomes, the method comprising: accessing, from memory and / or storage, historical patient flow information including a plurality of timestamped events for each of a plurality of patients; converting, by the discharge-optimization system, the historical patient flow information into standardized flow information having a standardized format defined by a plurality of standardized parameters; generating, by the discharge-optimization system, a plurality of models, each model indicating an effect of modifying at least one parameter of the standardized parameters for each of the patients; deriving, by the discharge-optimization system and based on the models, an optimal discharge histogram for one or more days; forecasting, based on the historical patient flow information, an anticipated future number of discharges for the day(s); deriving an optimal patient discharge timetable for the day(s); and providing the optimal patient discharge timetable to users.

[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.