24 results about "Patient identification" patented technology

Automatically generating a structured medical note during a remote medical consultation using machine learning. A provider tele-presence device may receive audio from a medical provider. A medical documentation server may be coupled to the network. A machine learning network receives audio data from the provider tele-presence device, the machine learning network generating a structured medical note based on the received audio data, and wherein the structured medical note is stored in the medical documentation server in association with an identity of a patient.

A method for patient identification comprises the steps of: determining (S10) initial identification data during an initial measurement of a patient (P) using a first measuring device (1) for determining ophthalmic and / or optometric measurement data; and determining (S30) a patient ID of the patient based on the determined initial identification data. The invention also relates to a system or computer program (product).

This disclosure proposes a medical network image processing method and apparatus. In response to acquiring a pathological image to be processed, the method extracts a mask region of the pathological image to be processed. Since the mask region represents the region of the patient's identity features corresponding to the pathological image to be processed, a pre-trained adjustment model is used to adjust the mask region corresponding to the pathological image to be processed. The resulting target privacy-preserving image only adjusts the region of identity features and does not adjust other regions. While removing the patient's identity information, the relevant pathological features in the pathological image are preserved.

A system for a dysphagia patient 100 includes: an information acquisition unit 10 that acquires patient identification information 30 capable of identifying a patient and bed angle information 31 of the patient's bed 6 based on the patient's swallowing function; a storage unit 11 in which the patient identification information 30, location information 32 indicating one of an address of the bed 6, an address of a display device 3 installed in a location visible from the bed 6, and the patient's whereabouts, and the angle information 31 are stored in association with each other; and a control unit 12. The control unit 12 uses the patient identification information 30 to acquire the location information 32 and the angle information 31 associated with the patient identification information 30 from the storage unit 11, and uses the location information 32 to transmit the angle information 31 to at least one of the bed 6, the display device 3, and an information terminal 8 held by a caregiver for the patient's meal.

The application discloses a time axis key node automatic acquisition system for chest pain diagnosis and treatment, relates to the field of information and communication technology of medical data, and comprises a pre-stored interval template containing starting or ending anchor point rules; an event stream carrying chest pain patient identification and source system time stamp derived from one or more medical information systems is acquired in real time; an active interval instance in memory is created and maintained for the chest pain patient; a candidate ending event is inferred; source system time reference drift is identified, and a reliability label is attached to time-consuming data. The application realizes automatic and real-time monitoring of the time consumption of the diagnosis and treatment process. The system not only supports starting and ending anchor point matching, automatically identifies time reference drift and attaches a reliability label, but also guarantees the reliability of time-consuming data in a real complex environment without relying on strict time synchronization of the whole hospital system.

The utility model relates to medical instrument technical field, concretely provides a multiple drug resistant bacteria infusion support, aims at solving the problem of easy to appear the mark error among the existing static multiple drug resistant bacteria visual warning measure. For this purpose, the utility model provides a multiple drug resistant bacteria infusion support, and the multiple drug resistant bacteria infusion support includes: the frame body, mobile device is set up on the frame body, and mobile device is provided with scanning camera, and scanning camera is used for scanning patient identification to obtain identification information, the display is set up on the frame body, and the display is used for at least showing the multiple drug resistant bacteria kind information of patient, first treater is connected with mobile device and the display respectively, and first treater is used for processing identification information to at least obtain the multiple drug resistant bacteria kind information of patient, and make the display at least show the multiple drug resistant bacteria kind information of patient. The utility model solves the problem of easy to appear the mark error among the existing multiple drug resistant bacteria visual warning measure through above -mentioned measure.

The application discloses a thyroid cancer and neck lymph node metastasis risk assessment method, relates to the cross technical field of bioinformatics and metabolomics, and mainly comprises the following steps: converting single-cell metabolomics signals into a metabolic feature matrix with cells as rows and metabolites as columns, constructing a patient-level metabolic dataset based on patient identification information, preprocessing the patient-level metabolic dataset to obtain a preprocessed patient-level metabolic dataset, screening features to obtain key metabolic features, and performing hierarchical summary prediction to obtain individual risk assessment results. The thyroid cancer and neck lymph node metastasis risk assessment method can non-invasively and accurately predict the risk of thyroid cancer and neck lymph node metastasis.

This invention discloses a method for assessing abnormal exposure risk during nuclear medicine brain examinations in epilepsy patients. By establishing a correspondence between nuclear medicine department areas, radiation monitoring equipment, and patient identification equipment, path deviation events or timeout events are generated based on the patient's preset and actual path information. Combined with the regional radiation monitoring value sequence, regional population density sequence, and the stage weight corresponding to the current process stage during the abnormal duration, the method determines the abnormal exposure contribution value, cumulative abnormal exposure value, and abnormal exposure risk level, thereby achieving abnormal exposure risk assessment for nuclear medicine brain examinations in epilepsy patients. This invention provides quantitative results for risk grading assessment of patients at different stages of the examination process and provides a basis for subsequent early warning, guidance, and process control.

Embodiments of the present application disclose a capsule endoscope identity information confirmation method, device, equipment and medium. The method comprises: establishing a first communication connection between a control terminal and a capsule endoscope, and sending first identity information to the capsule endoscope; in a scenario where a patient to be examined has swallowed the capsule endoscope and is waiting for examination, the control terminal receives second identity information of the patient to be examined input by medical staff, the control terminal receives the first identity information in the swallowed capsule endoscope, and it is determined whether the first identity information and the second identity information are the same. The technical scheme of the embodiments of the present application solves the problem of low efficiency of manual capsule endoscope identity information confirmation, can bind the identity information of the patient to the capsule endoscope, and realizes confirmation of the identity information of the patient in the capsule endoscope by matching the identity information of the patient in the capsule endoscope, thereby improving the accuracy and efficiency of capsule endoscope identity information confirmation.

This application provides a medical data information analysis method and system based on artificial intelligence, including: acquiring verbal communication information from medical staff and recognizing the verbal communication information to obtain instructions or statements in text form; performing semantic analysis on the text instructions or statements to extract operation type, patient identification, time information, and intent to adjust parameters; generating temporary calibration rules for correcting data interpretation logic based on the semantic analysis results, and injecting the temporary calibration rules into the medical data analysis system; when the medical data analysis system processes physiological monitoring data, the temporary calibration rules are preferentially applied to correct the judgment of data anomalies. This application can distinguish between data anomalies caused by normal clinical operations and actual changes in the patient's condition, effectively reducing false alarms and false negatives, and improving the accuracy and reliability of data analysis in intensive care environments.

The present application relates to the technical field of medical records, in particular to a stoma treatment management system based on a timeline, which comprises a starting collection module, a content arrangement module, a sequence integration module, an identity comparison module and an intermittent presentation module.In the present application, a time difference identification mechanism is established by extracting the image generation time and the submission time, data binding is completed by combining the image number and the identity information, semantic merging is achieved by integrating the excrement description, product replacement and processing action content, consistency judgment logic of multi-source information is constructed, the sequence structure is constructed according to the time field to guarantee the integrity and accuracy of record connection, the differences of each field content in the same period are identified and a collaborative identifier is generated based on the patient identity, the correlation ability of multi-party data between cross-period and cross-person is improved, and finally the image and nursing content are encapsulated according to the time sequence to form a continuous graphic view with clear structure, consistent content and comparison.

A method for identifying patients comprises the following steps: determining (S10) first identification data during a first measurement of a patient (P) by means of a first measuring device (1) for determining measurement data obtained by an ophthalmologist and / or optometrist; and determining (S30) a patient ID of the patient on the basis of the determined first identification data. The invention also relates to a system and to a computer program (product).

This invention provides a system for patients with swallowing difficulties that can suppress human errors related to the transmission of bed angle information when adjusting the bed angle for patients with swallowing difficulties. [Solution] This swallowing disorder patient system 100 includes an information acquisition unit 10 that acquires patient identification information 30 that can identify the patient and angle information 31 of the patient's bed 6 which is set based on the patient's swallowing function, a storage unit 11 in which the patient identification information 30, location information 32 indicating either the address of the bed 6, the address of a display device 3 visible from the bed 6, or the patient's whereabouts, and the angle information 31 are stored in association with each other, and a control unit 12. The control unit 12 uses the patient identification information 30 to acquire the location information 32 and angle information 31 associated with the patient identification information 30, and uses the location information 32 to transmit the angle information 31 to at least one of the bed 6, the display device 3, and an information terminal 8 held by the patient's meal assistant.

The embodiment of the invention provides a detection item recommendation method, a clinical examination aid decision-making system and a hospital information system, which are used for improving the accuracy of recommending detection items to patients. The method comprises the steps that latest diagnosis information of a patient in the hospitalization period is obtained from a hospital information system and displayed in a preset display interface, the latest diagnosis information of the patient at least comprises a patient identifier and a disease identifier of the latest definite diagnosis of the patient, and the preset display interface further comprises a detection doctor's advice display control; and in response to a trigger operation on the detection doctor's advice display control, querying the detection item index table according to the latest diagnosed disease identifier of the patient to determine a necessary detection item and / or an optional detection item associated with the latest diagnosed disease identifier, and according to the necessary detection item and / or the optional detection item, displaying the detection item according to the necessary detection item and / or the optional detection item. And displaying the necessary detection item component and the selectable detection item component which can be selected in a preset display interface.

This invention discloses a teaching method for intelligent simulation analysis of fall risk in elderly hypertensive patients based on machine learning, belonging to the field of fall risk simulation analysis technology. It includes: acquiring patients' frailty data to obtain a frailty dataset; classifying patients into at least three risk levels based on the frailty dataset, with each risk level corresponding to a different time folding coefficient, thus obtaining a frailty level classification item. This invention establishes a triangular assessment system of age, comorbidities, and cognition, and dynamically compensates for the underestimation of elderly or multi-disease patients by traditional models through a frailty adjustment coefficient, thereby improving the accuracy of high-risk patient identification. Furthermore, through intelligent time window compression technology, the monitoring period is automatically scaled based on the frailty level, shifting the golden window for patient intervention earlier, increasing the monitoring frequency for severely frail individuals, and improving the high-risk event capture rate.

This invention relates to the technical field of multimodal interactive consultation efficiency improvement methods, specifically: a method and device for improving consultation efficiency by combining multimodal interaction, comprising the following steps: Step 1: Multimodal consultation initiation and initial data collection, building an interactive terminal integrating at least three modalities among voice, image, text, gesture / touch, and physiological signals, and collecting multimodal data of patient identity information, basic information, and initial symptoms; Step 2: Multimodal data preprocessing and noise reduction, cleaning, noise reduction, and standardization of the initial data of each modality collected in Step 1, storing and establishing a data index after verification; In this invention, by building a multimodal interactive terminal, it adapts to different groups of people and consultation scenarios, solves the limitations of single-modal interaction, and lowers the consultation participation threshold for various types of patients.

The present application relates to the technical field of knowledge graph updating, in particular to a multi-department medical record knowledge graph updating method and system based on big data. It comprises the following steps: using a layered privacy calculation architecture to process multi-institution patient identity information, generating a patient global virtual identifier; based on the identifier, linking patient cross-institution, cross-department treatment events in time series, and constructing a patient space-time trajectory chain; based on the trajectory chain, extracting a cross-institution time sequence association candidate set, filtering through a dynamic time window verification mechanism, and only when the time interval is within the preset medical reasonable window and the confidence exceeds the threshold, triggering the graph update; when the update is triggered, each institution locally calculates the update gradient and encrypts it to upload to the collaboration node. The present application realizes the reconstruction of the cross-institution patient diagnosis and treatment process under privacy protection, and through the combination of medical time sequence constraints and individual characteristics of the dynamic time window verification, the accuracy and medical reasonableness of the knowledge graph updating are improved.

The utility model relates to medical instrument technical field, concretely disclose a kind of medical ophthalmology daytime operation postoperative patient multifunctional rest device, including multifunctional seat, the multifunctional seat includes seat plate, the outer surface of the seat plate is hinged with two electric push rods by two first pin shafts, one end of two electric push rods is respectively hinged with backrest and footrest, and the outer surface of the seat plate is hinged with backrest and footrest one end by second pin shaft. The medical ophthalmology daytime operation postoperative patient multifunctional rest device, by chair back, seat and leg can be electrically adjusted, realize half-sitting, lying and other postures, right hand armrest inner side hides body position pad, position is adjusted by slide rail and locking mechanism, meet facing down body position, left lateral position, right lateral position requirement, chair head is built-in display screen, support patient identity identification such as scanning code or card swiping, display screen can play postoperative health propaganda video, with voice function, it is convenient for patient to learn postoperative nursing knowledge.

The invention relates to the technical field of physiological parameter monitoring, in particular to a dynamic urine flow rate intelligent measuring system and method. The method comprises the following steps: collecting identity data of a patient; when urine flows into the urine volume signal acquisition device with the weighing sensor, the output voltage of the weighing sensor is changed to form an original signal; carrying out physiological signal filtering on the original signal through a microprocessor; when the total urination amount is smaller than the threshold total amount, prompt information is output, and urination time is recorded; when the total urination amount is larger than or equal to the threshold total amount, urine data are calculated; and recording all urine data of the patient in a preset collection period, and binding the urine data with the patient identity data to form personalized urine data. According to the invention, through fusion of identity recognition, signal processing and data management, high precision, individualization, scene diversification and remote intelligent application of urine flow rate measurement are realized.

This invention discloses a preoperative waiting vital sign monitoring and early warning method based on rPPG, belonging to the field of vital sign monitoring and early warning. Its purpose is to solve the technical problem of low accuracy in vital sign monitoring and alarms due to the lack of vital sign monitoring in waiting areas outside operating rooms and catheterization rooms, and the inability to dynamically set thresholds based on the individual conditions of patients in the waiting area. The monitoring and early warning method includes: acquiring facial video streams of patients in the waiting area; extracting facial features and vital sign time-series data from the facial video streams; comparing the facial features with patient information in the hospital information system to identify patient identity information and retrieve medical records; generating individual baselines for each indicator based on individualized physiological baselines in the medical records; generating dynamic thresholds for corresponding indicators based on individual baselines and key diagnostic information; and using the vital sign time-series data and the dynamic thresholds for corresponding indicators for monitoring and early warning of patient vital signs.

A patient monitoring and nursing method and system based on AI multi-scenario linkage is disclosed. The method includes: (1) installing monitoring terminals at the bedside, ward entrance, corridor wall, toilet wall, toilet cubicle wall and main entrance of medical institution respectively; (2) incorporating a pre-trained patient identification model, balance assessment algorithm and companion identification model, and completing patient identity confirmation, gait feature extraction, balance status quantification score, physical fitness status assessment and identification of whether there are family members accompanying the patient through real-time image data collected by the monitoring terminal; (3) triggering an alarm when the patient is detected to be out of bed and the balance score is ≤6 points, without family members accompanying the patient, appearing in the high-risk area of ​​the corridor wall / toilet wall and with an unstable gait, near the main entrance without a caregiver and without triggering the discharge registration process; (4) the monitoring terminal transmits the alarm signal, the patient's real-time location, risk level and on-site image to the server through wireless communication, and the server pushes it to the nurse's early warning terminal simultaneously.

The application provides a case information exchange method and device, electronic equipment and storage medium. The case information exchange method comprises the following steps: generating N patient identification numbers based on obtained patient identity information; obtaining a patient identification number corresponding to a first institution identification number from the N patient identification numbers, the institution identification number being an identification number of an obtained medical institution; sending a query request to a second institution by the first institution based on the patient identification number corresponding to the first institution identification number; in response to the query request, the second institution judges whether the patient identification number corresponding to the first institution identification number has been used to query the first institution; and if not, exchanging case information. Under the premise of protecting patient privacy data, information can be quickly exchanged, the purpose of reducing the high cost of clinical trials and accelerating the progress of clinical trials is achieved.

This invention relates to the field of medical informatics and medical data processing technology, and discloses a standardized storage method for airway stenosis treatment data. By converting a three-dimensional medical image of the airway into a topological graph, and sequentially constructing an adjacency matrix, a node attribute matrix, and an edge attribute matrix, the multidimensional structural features of each node are calculated, and a standardized permutation matrix is ​​generated through normalized sorting. Then, a unified standardized structural encoding vector is formed through rearrangement and vectorization concatenation. Standardized storage records are generated by combining patient identification and time, and fingerprint verification is performed. This solves the problems of incomplete preservation, difficulty in retrieval, and easy loss of context in traditional clinical data storage. This method restores the structure without secondary reconstruction through matrix and vectorization processing; unified sorting eliminates differences in node order among different cases; the high-dimensional encoding after vectorization saves storage space and is compatible with vector retrieval libraries; and fingerprint verification ensures data integrity and security.

This invention discloses a method, device, equipment, and medium for dynamic management of controlled substances. The method includes: determining the drug information, dispensing information, and patient identification information corresponding to the controlled substances to be dispensed; allowing the dispensing of the controlled substances after verification based on the drug information, dispensing information, and patient identification information; determining the drug usage information, drug retrieval information, and drug traceability information of the controlled substances to be dispensed; verifying the consistency of use of the controlled substances to be dispensed based on the drug information, dispensing information, patient identification information, drug usage information, drug retrieval information, and drug traceability information; and determining the management log of the controlled substances to be dispensed based on the drug information, dispensing information, patient identification information, dispensing compliance verification results, and usage consistency verification results. This achieves full traceability of drugs from dispensing to use and retrieval, meeting the stringent requirements of controlled substance management regulations.