158 results about "Patient identification" patented technology

The invention discloses a pre-inquiry method based on a long and short term memory management large model. The pre-inquiry method comprises the following steps: S100, acquiring identity information and complaint symptom information of a patient; s200, establishing long-term memory and short-term memory corresponding to the patient; all information generated in the pre-inquiry dialogue process is stored in the short-term memory; the long-term memory and the short-term memory are updated and maintained based on a memory storage mechanism; s300, based on the long-term memory and the short-term memory, using a large model to construct multiple rounds of pre-inquiry dialogues, and obtaining patient condition information; and S400, summarizing the patient identity information, the complaint symptom information, the long-term memory and the short-term memory to generate a pre-inquiry report. According to the pre-inquiry method based on the long-short-term memory management large model, the long-short-term memory management is separated from the large model to carry out multiple rounds of pre-inquiry dialogues, the method does not need to depend on the memory ability of the large model, and the memory loss phenomenon in multiple rounds of dialogues commonly seen in an existing large model can be effectively avoided.

The invention relates to the technical field of digital data processing, in particular to an intelligent triage and guide analysis method, device and system based on a large language model.The method comprises the steps that symptom information of a patient is collected in a text input or voice input mode, and the symptom information and patient identity information are associated; cleaning the collected symptom information and extracting a symptom keyword group; matching the extracted symptom keywords with data in a knowledge graph to determine a to-be-selected disease group; generating a corresponding recommended department table according to the to-be-selected disease group, and arranging the departments according to the priority; and correcting the arrangement sequence of the departments based on the historical treatment records of the patients. Through the steps, the symptom information of the patient can be efficiently collected and processed, and accurate and personalized medical suggestions can be provided. According to the method, the efficiency and the quality of medical services are greatly improved, and meanwhile, the medical experience of the patient is also improved.

A data command center visual display system presents dynamic data to a display screen. The command center visual display system includes a plurality of adjustable display panels configured to display predetermined combinations of patient identification information, patient insurance information, patient medical history information, a patient's insurance billing regulations, preferred practice patterns, and patient payment information, and a patient flowsheet that integrates the patient medical history information and patient payment information into a table that presents the patient's medical history by visit to one or more physicians with respective procedures or actions performed during each visit represented as icons identifying the procedure performed and icons indicating whether the procedure has been paid for in part or in full, the icons providing links to associated medical history data and / or financial data. The respective procedures or actions may also be activated directly from the table or display panels without leaving the display screen. In response to selection by a user of the visual display system, the adjustable display panels and patient flowsheet are moved into a task-based or specialty-specific display configuration such that the patient identification information, patient insurance information, patient medical history information, and patient payment information may be accessed without leaving the display screen.

The invention discloses a monitoring alarm system and method based on multi-modal fusion and regional perception, and the system comprises a multi-source perception module which collects the related data of a patient through a plurality of sensors; the data processing center is used for judging whether an abnormal state occurs or not based on the related data acquired by the multi-source sensing module, and triggering an alarm when the abnormal state occurs; and the notification terminal receives the alarm related information and executes alarm linkage measures. Wherein the data processing center realizes multi-modal data binding of the same patient by using the positioning identification module, so that the position of the patient is accurately positioned; the layered configuration module is used for setting alarm rules according to different patients and different areas. Multiple sensors are adopted for monitoring, the identity and state of a patient are accurately recognized through cross validation of multi-modal data, and the false alarm rate is reduced; a regional division monitoring strategy is adopted, excessive monitoring is avoided on the premise that the monitoring effect is ensured, and resource waste is avoided.

The invention discloses an emergency treatment high-risk patient real-time grading method based on an improved multi-mode Transform algorithm. The method comprises the following steps: S1, generating a time synchronization multi-mode event sequence; s2, obtaining a corresponding single-mode feature representation tensor; s3, obtaining a risk weighted cross-modal attention matrix; s4, in the improved multi-modal Transform fusion network, generating a fusion feature representation tensor by using a time sequence sliding window cache and incremental updating mechanism, and outputting a risk grading label and a corresponding risk grading confidence coefficient based on the fusion feature representation tensor; s5, inputting the risk grading label and the risk grading confidence into the interpretive sub-network, and generating clinical causal chain prompt information; and S6, synchronizing the risk grading label, the risk grading confidence and the clinical causal chain prompt information. According to the method, the accuracy of high-risk patient identification and the adaptability of the model to a clinical complex scene are remarkably improved, and a test result shows that the real-time identification accuracy of a high-risk case is improved compared with that of a conventional multi-modal model.

The invention discloses a patient information statistics system and method for an emergency department, and relates to the technical field of information statistics. A patient end is registered based on patient identity information, a storage unit is started based on the patient end, and the patient end is connected with the storage unit; the disease information of the patient is collected in real time, the disease information of the patient is stored in the corresponding storage unit, the bionic unit is derived according to the storage state of the storage unit, and the storage unit is replaced by the bionic unit. When unauthorized network access occurs, one bionic unit is started, a storage unit and other bionic units are transferred to another bit plane, if unauthorized network access still exists after transferring to another bit plane, one bionic unit is started again, and the storage unit and other bionic units are transferred again; therefore, the safety of the storage unit for storing the disease information of the patient can be ensured, the capability of dealing with unauthorized network access can be realized, and the safety of data is ensured.

The invention relates to the technical field of medical emotion early warning, and discloses an early warning system used based on a hospital platform. The system comprises a data acquisition module which is used for acquiring a patient identifier and treatment time, and acquiring voice dialogue and text record content and associated information to generate a patient data set; the sentiment analysis module is used for analyzing semantic and acoustic features of the voice and text contents and generating a sentiment analysis result set; the grading processing module is used for carrying out hierarchical division on emotions and generating a patient emotion grading result set; the information synchronization module is used for synchronizing the grading labels and the patient identifiers to a hospital information system display terminal according to specifications and generating grading information synchronization records; the intervention execution module is used for matching an AI automatic pacifying or manual intervention strategy for the patients higher than the basic warning level, and generating an intervention execution record set; and the early warning triggering module is used for marking the patient with the emotion activation risk and generating an early warning triggering result. The system can sense emotion changes of a patient in real time, active intervention is achieved, and the diagnosis and treatment order is maintained.

The invention relates to the technical field of patient management, and discloses a patient management method and system based on incubator traceability, and the method comprises the steps of information binding, data storage, expiration reminding and data verification. The system corresponds to the method. According to the application, the scanning device is utilized to realize accurate association of the incubator code and the patient identifier, and in combination with matching verification of the incubator function and the diagnosis and treatment stage, mistakes and omissions of manual binding are effectively avoided; equipment information, patient information and cleaning records are stored through an incubator database, multi-dimensional historical tracing query is supported, and full-life-cycle transparent management of an incubator use track and a cleaning process is achieved; a diagnosis and treatment association verification model is constructed, the accuracy of diagnosis and treatment data of a patient is intelligently verified based on multi-rule cross comparison such as spatial position, time logic and state change, and meanwhile, the early discovery capability of equipment abnormality and data contradiction is improved based on real-time monitoring of environmental parameters and linkage verification of physical sign data.

The invention discloses a surgical site marking and verifying system based on multi-modal sensing and AI real-time checking, and belongs to the technical field of medical instrument management. The system comprises: a data acquisition module for acquiring a copy of preset surgical site data associated with a patient identity identifier; the intelligent marking pen comprises a pen point; the real-time checking module is used for checking whether a physical position of the pen point is consistent with a target area limited by preset surgical site data or not in real time when a proximity sensor detects that the pen point is located within a preset distance of the skin of a patient; the mark execution module is used for forming a physical mark in the target area under the condition that the verification result of the real-time verification module is consistent; and the multi-mode verification module is used for verifying the physical mark in the operation so as to confirm the consistency of the physical mark, the patient identity identifier and the preset operation site data. According to the invention, marking errors are avoided, and the problem that traditional marks are easy to erase is solved.

The invention belongs to the technical field of health management, and particularly provides a hospital health management early warning method based on body temperature data, which comprises the following steps: collecting body temperature data of a patient in real time through a body temperature monitoring device deployed on the body surface of a clinical patient and / or a monitoring area, and comparing the body temperature data with a preset threshold range; when the body temperature data of at least one patient exceeds a preset threshold range, generating a warning signal containing an abnormal body temperature value, a timestamp and an equipment identifier, and sending the warning signal to the control terminal; the control terminal analyzes a position information source of the warning signal based on the equipment identifier, and calls electronic medical record information of a patient corresponding to the position; according to the abnormal body temperature value, the position information and the medical record information, generating a control signal comprising a patient identity label, an abnormal body temperature tendency chart and suggested medical measures, and sending the control signal to a mobile terminal of a specified medical worker; real-time continuous monitoring and automatic early warning response of the body temperature of a clinical patient are achieved, and the discovery and treatment timeliness of abnormal body temperature events is remarkably improved.

To provide a medication history management apparatus with which a highly accurate medication history is registered and utilized.SOLUTION: A server includes a communication unit, a storage unit, and a control unit. The communication unit receives, from a patient terminal, which is a terminal of a patient, a drug image which is an image of drugs captured when the patient takes them. The storge unit stores the drug image received by the communication unit in association with patient identification information identifying the patient, the date of medication, and the time of medication. The control unit reads, from the storage unit, in accordance with a request from a health worker terminal which is a terminal of a dispensing pharmacy or a hospital, medication history data in which the drug image, the date of medication and the time of medication are associated with each other, corresponding to the patient identification information received from the health worker terminal, transmits the data to the health worker terminal, and displays a medication history screen in which the drug image, the date of medication and the time of medication are associated, on the health worker terminal.SELECTED DRAWING: Figure 5

The invention relates to the field of intelligent medical treatment, and discloses a hospital integrated platform system based on artificial intelligence, which comprises the steps of extracting current patient identification information, identifying a surgical patient in an anesthesia state in real time, and automatically associating a preoperative electronic medical record with an intraoperative anesthesia plan; based on an artificial intelligence semantic recognition model, performing image character extraction and semantic understanding on parameter contents set in real time in a respirator equipment screen; constructing a cross-system risk factor graph according to the semantic difference between the set parameters and the system identification, and performing risk linkage scoring on the operation behavior in the operation in real time; calling a parameter evolution path under the previous similar operation mode, and carrying out analogy modeling by combining the anesthesia depth of the current patient, the physiological data and the intraoperative stage; and when it is confirmed that strategy level abnormity exists in the setting, the early warning level and the display form are dynamically adjusted based on the operation equipment type, the setting personnel role and the load intensity of the current stage. The system has the advantage of improving the intelligent level of a hospital.

The invention discloses an inquiry diagnosis and treatment and examination treatment suggestion method and device based on an information updating management mechanism and a storage medium. The method comprises the steps that patient identity information is acquired, and patient diagnosis and treatment information is acquired; establishing multiple rounds of inquiry dialogues, wherein the process comprises the following steps: initiating a first round of inquiry dialogue question; extracting patient condition information based on the patient answer information, and extracting associated information related to the patient condition information from the patient diagnosis and treatment information; summarizing the patient condition information and the associated information to obtain patient inquiry information; dividing patient inquiry information into long-term memory information and short-term memory information, and updating and maintaining based on an information updating management mechanism; calling the large model to give inquiry diagnosis and treatment based on the inquiry information of the patient, judging whether the inquiry is finished or not, and if not, obtaining a next round of inquiry dialogue problem through the large model; if yes, the large model gives final inquiry diagnosis and treatment, and the final inquiry diagnosis and treatment comprise examination and treatment suggestions. Therefore, historical diagnosis and treatment information of the patient is fully utilized, and inquiry accuracy and efficiency are improved.

The invention provides a drug tracing information automatic acquisition method based on two-dimensional code recognition, and the method comprises the steps: obtaining drug batch information and a subpackage record, and generating a dynamic tracing label which comprises a batch number, subpackage time and a subpackage number; extracting a medication cycle and a medicine validity period from the patient-level traceability identifier, identifying a matching degree of non-uniform validity period distribution and time window overlapping according to the medication cycle and the medicine validity period, and determining a medication cycle distribution scheme of the subpackaged medicine; according to the medication cycle distribution scheme, the medication demand and the medicine flow data of the patient are recognized, a dynamic flow record containing the identity of the patient, the subpackage time deviation and the medication time is generated, and medicine flow tracking information after information granularity is reduced is obtained; and according to the adverse reaction traceability report, updating the dynamic traceability label in the block chain, and generating optimized traceability data with reduced information granularity.

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.

The embodiment of the invention provides an intensive care data acquisition method and system, which can solve the problems of alarm fatigue, low equipment management efficiency and data islanding existing in an ICU environment for a long time. The method comprises the following steps: receiving a Bluetooth broadcast data packet reported by a plurality of Bluetooth gateways deployed in an ICU ward, wherein the Bluetooth broadcast data packet comprises Bluetooth Beacon signals periodically broadcasted by bed unit Bluetooth tags configured by a plurality of sickbed units and low-power-consumption Bluetooth broadcast signals from a plurality of Bluetooth converters; performing position estimation on each Bluetooth converter based on the Bluetooth broadcast data packet, so as to automatically bind the medical equipment and the bed units according to the spatial position relationship between the Bluetooth converters and each bed unit; and when the equipment monitoring data from the Bluetooth converter is received, associating the equipment monitoring data with the patient information of the corresponding bed unit, and generating a structured monitoring data record with the unique identification of the bed unit, the patient identification and the medical equipment identification.

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).

The invention provides a patient identity information sticker based on laser water transfer printing paper and a transfer printing method, the patient identity information sticker comprises a wear-resistant layer, an information bearing layer, a skin-friendly adhesive layer and a breathable backing which are laminated in a composite mode, and the transfer printing method comprises the steps of cleaning skin, covering a sticking part, applying force for transfer printing and the like. Patient information is accurately printed on the information sticker through the laser water transfer printing paper printing technology, the information sticker is pasted to stable parts such as the inner side of the arm of a patient, and the problems that a traditional wrist strap is prone to falling off, and information is fuzzy are solved; by optimizing the material and design, the wearing comfort and the medical experience of the patient are improved.

The invention discloses a patient medical health joint decision-making system, and the system comprises a patient terminal which is used for carrying out the medical health interaction of a patient with a doctor terminal; the dialogue system is used for performing dialogue with the patient through the patient terminal according to a friendly dialogue mode which is easy to understand the patient condition so as to obtain the current patient condition and patient identity information; the patient historical data aggregation device is used for collecting patient historical medical information, including treatment and examination information, of the patient according to the patient identity information; the auxiliary decision-making system is used for generating a plurality of patient auxiliary medical schemes according to the patient historical medical information and the patient current illness state collected by the patient historical data aggregation device; and the doctor terminal is used for making a patient preliminary diagnosis and treatment scheme by a doctor according to a plurality of patient auxiliary medical schemes from the auxiliary decision-making system, interacting with the patient through the patient terminal, and jointly making decisions, so that the medical effect of the patient can be ensured, and the patient can also satisfy and accept the medical scheme.

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.

The invention discloses an intelligent wrist strap monitoring system for an inpatient, which belongs to the technical field of inpatient data set management and comprises an intelligent wrist strap, a hospital information system and mobile terminal equipment. The intelligent wrist strap serves as a core, multiple functional modules are integrated, the functions of patient identity recognition, physiological parameter monitoring, position tracking, information interaction and the like are achieved, seamless joint with a hospital information system is achieved, and an intelligent and digital hospitalized patient management system is constructed. The invention aims to improve the management efficiency of hospitalized patients in hospitals, ensure the safety of the patients and optimize the medical service quality.

A patient access amount intelligent recording method, device and equipment and storage medium, comprising: scanning the patient identity carrier through the identity recognition module of the handheld intelligent terminal to obtain the patient identity information; receiving the access amount type information input by the user through the type selection interface of the handheld intelligent terminal; collecting the weight data of the measured object through the intelligent weighing device wirelessly connected with the handheld intelligent terminal and sending to the handheld intelligent terminal; converting the weight data into volume data according to the preset physical quantity conversion rule through the data processing module of the handheld intelligent terminal, combining the patient identity information to generate the access amount record; and sending the access amount record to the medical information system for storage, solving the technical problems of tedious operation steps, low efficiency and data recording errors caused by the existing manual operation mode, and realizing the simplification of operation steps to improve the work efficiency and accuracy.

Patient identification is transmitted to a health care provider prior to the patient arriving at the health care provider. The patient identification may be a driver's license, health insurance card, or other identification, and may be used to pre-register the patient. The transmission may include other information, such as health status, purpose of visit, intended procedures, symptoms, or other information. The transmission may be made via a device, such as a cellular telephone, where the information may be encrypted and transmitted using a secure mechanism. The system may be used by ambulance personnel, paramedics, or other emergency responders to notify a hospital, for example, of an inbound patient, as well as by patients prior to an appointment. The system may also be used by clinicians or other health care providers to prepare for emergent or non-emergent patients prior to arrival.

The invention discloses a secure communication method, device and system based on patient identity identification in a clinical brain-computer interface, and the method comprises the steps: system initialization, user key generation, patient intention extraction and processing, patient intention confirmation, message source verification and malicious behavior monitoring. According to the method, patient identity authentication is realized and dual authentication is prevented by utilizing conversion between a user identity identifier and a one-time signature architecture, unforgeable security and key extractability are met, a dynamic anomaly monitoring mechanism is provided for a BCI communication process, and misoperation interception and medical responsibility tracing are realized. The method has the advantages of being high in safety, complete in function, high in operation efficiency and the like, has a great promotion effect on safety standardization of neural rehabilitation equipment, and is suitable for communication safety protection of various BCI equipment at all levels.

The application discloses an electronic medical record connotation quality control method and device based on diagnosis and treatment thought chain. The method comprises the following steps: first, acquiring electronic medical record data and performing standardization processing to obtain standardized data containing patient identification, diagnosis information, medical order information and the like; based on a pre-constructed hierarchical diagnosis and treatment thought chain knowledge graph, integrity, logicality and timeliness verification is performed on the standardized data through a rule engine, a bidirectional reasoning engine and a time window; three types of verification results are aggregated to generate a quality control report, and the report contains quality scores, problem details and reasoning path visualization data. The knowledge graph of the application contains a core general layer and a special plug-in layer, covers multiple types of diagnosis and treatment nodes and relationships, can accurately identify deep logical contradictions and timeliness problems of medical records, provides transparent and interpretable quality control results, and significantly improves the accuracy and clinical practicability of medical record connotation quality control.

Disclosed are computer-implemented methods which encompass determining whether two medical images were taken of the same patient. In a first aspect, this is done by analysing a registration of the two images with one another. The registration may be a direct registration between the two images or an indirect registration, for example via an atlas to which each image is registered. In other aspects, a machine learning algorithm is trained on the basis of image registrations to determine whether the two images were taken of the same patient. The disclosed methods serve the purpose of being able to group medical images together which were taken of the same patient without having to provide or otherwise process data about the identity of the patient.

There is obtained a cheek retractor that a right outer flange and a left outer flange are provided with a right personal authentication identification code plate portion and a left personal authentication identification code plate portion, respectively, on which two-dimensional barcodes are printed. Since the cheek retractor is mounted on an oral cavity of a patient by holding an arm, which is close to the right personal authentication identification code plate portion and the left personal authentication identification code plate portion, by hand and by pushing the arm inward against a spring force, and an image including a right personal authentication identification code and a left personal authentication identification code is captured, even without experience, an image can be captured to encompass the entirety of a mouth, and since identification information of the patient can be acquired, who the patient is can be grasped.

This invention discloses a multi-channel infusion volume monitoring terminal and an intelligent infusion stand management system. The monitoring terminal integrates multiple sets of electromagnetic induction sensors to simultaneously detect the remaining fluid volume of multiple infusion bags, and combines this with an RFID identification module to automatically identify patient information. The control module within the terminal executes a multi-channel isolation algorithm on the sensor signals to eliminate electromagnetic interference between adjacent channels and accurately calculate the remaining volume of each infusion bag. When a bag of fluid is nearly empty or the infusion is abnormally interrupted, the terminal's audible and visual alarm module immediately triggers an alarm and locates the abnormal infusion bag via a corresponding indicator light. Simultaneously, the terminal can transmit monitoring data and alarm information to the central monitoring device at the nurse station via a wireless network, enabling centralized real-time management of multiple patient infusions. This invention improves the automation and safety of batch infusion monitoring, reduces nurses' workload, and has advantages such as compact structure, accurate monitoring, and wide applicability.

The invention discloses a deep learning-based lung cancer adjuvant chemotherapy benefited patient identification method and system, and relates to the technical field of lung cancer precise treatment and artificial intelligence crossing, and the method comprises the steps: analyzing and preprocessing preoperative and postoperative registration logs of a patient to obtain basic information of the patient, a pathological image of the patient and a treatment strategy of the patient; the method comprises the following steps: performing segmentation processing on a patient pathological image by adopting nnformer to obtain a focus region segmented image, performing feature extraction and enhancement on the focus region segmented image to obtain image omics features, and constructing an improved 3D survival analysis model; and analyzing the basic information of the patient, the radiomics characteristics and the treatment strategy of the patient by adopting an improved 3D survival analysis model to obtain an identification result of the lung cancer adjuvant chemotherapy benefited patient. According to the method, the quantitative survival risk score and the adjuvant chemotherapy sensitivity conclusion are output, and an interpretable reference basis is provided for clinical decision making.

The invention relates to the technical field of patient skeleton X-ray image recognition, in particular to an image processing-based latent fracture auxiliary recognition method. And positioning a skeleton region and a soft tissue region connected with the skeleton region in the X-ray image. Selecting a reference skeleton area, and evaluating the fracture expression degree by analyzing similar gray pixel distribution and edge positions of the reference skeleton area; and for the soft tissue region, calculating the necessary degree of soft tissue enhancement according to the gray difference between the soft tissue region and the peripheral tissue, the gray difference between the two internal regions and the distance between the soft tissue region and the skeleton. And determining the necessary degree of bone enhancement according to the number of the soft tissues connected with the bone, the necessary degree of enhancement of each soft tissue and the fracture expression degree. And screening a to-be-enhanced area to perform image enhancement, and finally realizing accurate identification of the occult fracture. According to the invention, extremely small bone trabecula structure disorder or density change can be detected, so that the patient identification accuracy of related personnel is improved.