25 results about "Clinical staff" patented technology

The invention belongs to the technical field of cognitive impairment intervention evaluation, and particularly relates to an evaluation system and method applied to cognitive impairment intervention. According to the method, the cognitive state is evaluated and the training tasks are allocated based on the real data of the user in the natural life scene, so that the one-sidedness of only depending on a laboratory or one-time evaluation is avoided, the training and intervention are closer to the real demand and life situation of the user, and the training efficiency is improved through multi-source data fusion. The influence of single signal noise or accidental fluctuation on judgment is reduced, the robustness and objectivity of evaluation are improved, indexes such as cognitive performance, intervention indexes and deviation degree are numeralized, long-term tracking and transverse comparison of the effects of different intervention measures are facilitated, interpretable quantitative evidences are provided for clinical personnel, and the accuracy of evaluation is improved. Intervention indexes are calculated in real time, intervention measures are automatically adjusted or reselected according to feedback results, and a quick-response closed-loop system is formed, so that the time from problem discovery to effective intervention is shortened, and the intervention conversion rate is increased.

Methods and systems for electrical properties tomography imaging are presented. Electrical properties such as conductivity and permittivity of intervertebral discs are calculated with improved accuracy and displayed for assessment of clinical personnel.

The invention discloses a business-driven medical service item charging management quality control method and system, and belongs to the technical field of medical service management.The business-driven medical service item charging management quality control method and system comprise the following specific steps that firstly, a business dictionary and a commodity price dictionary are built, the business dictionary comprises business behavior entries, and the commodity price dictionary comprises a commodity price dictionary; the commodity price dictionary comprises publicized financial amount entries; 2, constructing a mapping relation, and enabling the business behavior entries to correspond to the financial amount entries; 3, instructions are obtained, each instruction corresponds to one business behavior entry, and after medical staff select the instructions, corresponding financial amount entries are obtained through mapping relation processing. According to the invention, the medical service charging management knowledge base is driven by combing the business, and the business is associated with the charge, so that the clinical satisfaction is improved, and the clinical staff can use more time to treat and cure the patient.

The invention discloses a medical insurance payment-oriented disease type cost benchmark model establishment method and application. The method comprises the steps of collecting medical insurance or hospital historical disease type settlement data; performing standardization processing on historical disease category settlement data, and performing data statistics on charging items according to disease categories; establishing a disease cost benchmark model, and calculating benchmark frequency and benchmark number of the disease by using historical disease settlement data; adjusting the obtained benchmark frequency and benchmark number by using a large language model to obtain recommended benchmark frequency and benchmark number; in combination with diagnosis and treatment specifications of professional clinical personnel and clinical habits of an overall planning area, the recommended benchmark frequency and benchmark number are manually adjusted to obtain disease benchmark values, and the disease benchmark values are added into a disease data set. Through the constructed case cost benchmark model, disease cost standardization management is promoted through benchmark management, diagnosis and treatment behavior standardization and medical insurance payment cost management and control are achieved, and the balance between compliance medical treatment and economical medical treatment is achieved.

The invention discloses an anesthesia induction method and device and an anesthesia machine, and relates to the technical field of anesthesia induction. The anesthesia induction method comprises the following steps: acquiring brain wave signal data, arterial pressure signal data and airway intervention data of a set patient; based on a pre-trained anesthesia state evaluation model and in combination with brain wave signal data and arterial pressure signal data of the set patient, an induction depth response characteristic value of the set patient is analyzed; based on airway intervention data of a set patient and analysis of an induction stability characteristic value of the set patient, induction recommendation processing is performed on the set patient based on an induction depth response characteristic value and the induction stability characteristic value, so that the overall induction state of the patient is dynamically and comprehensively reflected, and a clear evaluation result is provided; clinical personnel are helped to timely judge whether a patient reaches a safe intubation and maintenance level or not, so that the risk of insufficient or excessive induction is reduced, and the safety of anesthesia induction is remarkably improved.

Described herein are systems and methods for determining medical staffing requirements for administering OIT to patients. Specifically, the methods and systems disclosed herein can determine the time required by a medical staff at a given treatment location to devote to administering OIT to patients as well as the number of patients undergoing OIT over a selected time period. The methods and systems disclosed herein can further provide the time required by providers and clinical staff at a given treatment location to devote to administering OIT to patients.

The present invention provides a method for batch analysis of missing QRS waves in dynamic electrocardiogram, which can assist clinicians in batch finding the missing QRS waves and simultaneously batch modifying and compensating for the missing QRS waves, greatly improving the efficiency of electrocardiogram analysis. By constructing a superimposed QRS waveform diagram and a bar chart of the number of QRS wave markers, and comparing the total number of heartbeats M at the QRS peak waveform in the superimposed QRS waveform diagram with the number of QRS wave markers N, all regions where QRS markers are missing can be found in batch, without the need for clinical staff to manually search item by item, greatly improving the efficiency of electrocardiogram analysis. At the same time, the present invention also discloses a system for batch analysis of missing QRS waves in dynamic electrocardiogram.

A method for controlling user interfacing with a patient information system. The method includes tracking (12), by means of a position tracking system (40), a position of at least one clinical staff member (82); detecting (14) a trigger event; obtaining (16) information from a patient information system (50) in response to the trigger event, wherein the patient information system is configured to provide access to information related to a plurality of patients; identifying (18) one or more output devices (62_n) from a plurality of output devices (62_1,...,62_N) based on a detected position of the at least one clinical staff member (82), wherein each of the plurality of output devices is operable to output clinical information to a user; and causing (20) the obtained information to be communicated to the identified one or more output devices.

The utility model relates to the technical field of medical instruments, in particular to a bottled poison and anesthesia medicine counting device which comprises a transparent medicine containing bottle, the bottom of the transparent medicine containing bottle is movably connected with a rotating assembly, and a scale replacement core (5) is clamped in the middle of the upper end of the transparent medicine containing bottle. A number graduated scale is arranged on the outer side of the transparent medicine containing bottle, and a first medicine storage groove, a second medicine storage groove, a third medicine storage groove and a fourth medicine storage groove are formed in the periphery of the lower end of the transparent medicine containing bottle respectively. According to the bottled poison and anesthesia medicine counting device, through the design, the replaceable drawing and inserting type poison and anesthesia medicine scale replacing core is adopted, clinical workers can be helped to clearly see the accurate remaining amount of tablets at present, the situation that the medicines are repeatedly poured out and then put back into a transparent medicine containing bottle is not needed, and the working efficiency is greatly improved. The possibility of medicine pollution is reduced, and the medication safety of a patient is ensured.

According to the intelligent monitoring system for the general anesthesia resuscitation stage, by arranging the monitoring equipment module, the intelligent audio module, the muscle monitoring module and the monitoring information analysis module, multi-source collection and comprehensive analysis of physiological data and action information of a patient are achieved. When monitoring data meet preset conditions, the system can automatically generate a calling trigger signal, drive an audio module to call speech or drive a muscle monitoring module to perform string stimulation, and judge consciousness recovery of a patient in combination with commanding actions collected by a camera and a grip strength sensor. Through the mode, the system not only improves the intelligent level of monitoring the patient in the resuscitation period, but also can generate a prompt signal in time to remind clinical personnel when the patient has abnormal actions or voice expression is uncomfortable, so that the risk in the resuscitation period is effectively reduced, and the safety and comfort of the patient are improved.

The invention relates to a computer-implemented method for providing treatment readiness data (BBD) of a child to be treated in preparation for medical treatment, comprising the steps - Acquisition (S11, S21, S31, S41) of input data (ED), whereby the input data (ED) - a treatment statement relating to the medical treatment to be carried out, - an indication of the child’s age and / or sex, and - include at least one exercise parameter characterising an exercise activity of the child, - applying (S12, S22, S32) a first trained function (TF1) to the input data (ED), thereby generating the treatment readiness data (BBD), - Providing (S13, S23, S33) the treatment readiness data (BBD) to clinical staff in the treating medical facility.

A system and methodology are provided for using a pulse oximeter to continuously measure a patient's blood flow over extended periods of time. For this purpose, a correlation factor is established which correlates a predetermined difference between wavelength colors detected by the pulse oximeter with blood pressure measurements taken by a sphygmomanometer. Variations of this correlation factor can then be subsequently monitored independently by the pulse oximeter and compared relative to previously established parameters for blood flow. Clinical personnel are thereby alerted when attention to the patient's health condition is required.

The application provides a kind of affected side spatial stratification activation and multi-modal unilateral spatial neglect (USN) cognitive function evaluation and training intelligent system, aiming at solving the pain points such as low efficiency of evaluation, training homogeneity, effect difficult to transfer in USN patient rehabilitation, and building a whole-process intelligent rehabilitation system of "accurate evaluation-personalized training-dynamic optimization-effect transfer". Through the combination of rapid quantitative evaluation system, behavior data and electroencephalogram signal, the objective grading of USN severity is realized, which gets rid of artificial dependence and greatly improves the evaluation efficiency and accuracy; through the whole-process automatic operation and machine learning self-adaptive optimization, the operation cost of clinical personnel is reduced, the rehabilitation effect is traceable and evaluable, and an accurate and personalized intelligent rehabilitation system is built, which provides a whole-process solution for USN patients and has important significance for promoting the intelligent development of post-stroke neurological dysfunction rehabilitation.

A health monitoring system for the autonomous support of elderly people, the system comprising the following: a variety of Internet of Medical Things (IoMT) sensors, including at least one wearable physiological sensor, one or more environmental sensor units, a mobility tracking device and a medication intake module, wherein the IoMT sensors are configured to continuously collect physiological, environmental, behavioral and medication use data; an edge processing device that includes an embedded processor and a lightweight machine learning inference unit configured to perform real-time anomaly detection and generate local alerts in the absence of cloud connectivity; a cloud-based analytics engine comprising one or more deep learning models configured to perform longitudinal health modeling, population-level clustering, and predictive risk forecasting using historical and real-time data; and a multi-channel communication unit configured to securely transmit notifications, reports, and emergency triggers to nursing staff, clinical staff, family members, and emergency services, wherein the edge processing device includes a dedicated hardware accelerator selected from a field-programmable gate array (FPGA), the accelerator being optimized to perform low-latency computations, including fall detection, arrhythmia detection, and respiratory abnormality monitoring, within a processing window of less than 200 milliseconds;and wherein the wearable physiological sensor is designed as a wrist-worn or patch-based device comprising a set of sensor elements, including an electrocardiography (ECG) electrode, a photoplethysmography (PPG) sensor for SpO2 measurement, a three-axis accelerometer, a gyroscope, and a skin temperature probe, the device further being configured to integrate raw signal data streams through a multimodal fusion technique performed locally on the edge device to minimize noise, compensate for motion artifacts, and improve the specificity of anomaly detection across multiple concurrent parameters.

A method for managing alarm events associated with patients assigned to clinical staff members. The method includes detecting an alarm event associated with a patient clinical status using a patient information system, identifying an assigned clinical staff member, and detecting the staff member's current location using a position tracking system. A user output subsystem includes a real time output channel and a post-hoc output channel, and wherein information relating to the detected alarm event is selectively output to the identified at least one clinical staff member by means of the first output channel or the second output channel in dependence upon the detected current location of the identified clinical staff member.

Provided herein are surveillance systems, platforms, and methods for autonomous monitoring of clinical studies that address these technical challenges and improve the credibility and validity of a clinical study by ensuring reliability of the data that is collected. In certain aspects, these systems, platforms, and methods assist in the communication between those responsible for analyzing the clinical study data (e.g., the data scientists, etc.) and those responsible for collecting the data (e.g., the physicians and clinical staff, etc.), allowing for proactive debugging of gaps in data coverage and data availability while there is still an opportunity to address the conditions of the clinical study leading to the missing data.

A method for managing alarm events associated with patients assigned to clinical staff members. The method includes detecting an alarm event associated with a patient clinical status using a patient information system, identifying an assigned clinical staff member, and detecting the staff member's current location using a position tracking system. A user output subsystem includes a real time output channel and a post-hoc output channel, and wherein information relating to the detected alarm event is selectively output to the identified at least one clinical staff member by means of the first output channel or the second output channel in dependence upon the detected current location of the identified clinical staff member.

A method for controlling user interfacing with a patient information system. The method includes tracking (12), by means of a position tracking system (40), a position of at least one clinical staff member (82); detecting (14) a trigger event; obtaining (16) information from a patient information system (50) in response to the trigger event, wherein the patient information system is configured to provide access to information related to a plurality of patients; identifying (18) one or more output devices (62_n) from a plurality of output devices (62_1,...,62_N) based on a detected position of the at least one clinical staff member (82), wherein each of the plurality of output devices is operable to output clinical information to a user; and causing (20) the obtained information to be communicated to the identified one or more output devices.

The invention discloses an AI auxiliary sample sharing method and system. The AI auxiliary sample sharing method comprises the following steps: searching in a dialogue form between a GUI (Graphical User Interface) and a system; the AI intelligent matching module is used for carrying out semantic analysis on a query request submitted by a user based on a deep learning algorithm, and intelligently screening clinical special disease biological samples meeting user requirements from a clinical special disease biological sample database; personalized recommendation of the user can be provided according to historical behaviors and preferences of the user and currently inquired context information, and matching precision and efficiency are improved; by adopting the method, the efficiency of inquiring the required clinical special disease biological sample by clinical personnel can be greatly improved, so that the overall clinical research test efficiency is improved.

A method for improving the health of a population is provided comprising the use of a trained artificial intelligence to: • receive requests for provision of clinical services in relation to a patient, the request comprising a specification of the clinical services required and an indication of presence or absence of relevant patient acuity factors in the patient concerned; • allocate or assist in allocation of patients to clinical service providers wherein allocation is based on optimising use and clinical effectiveness of clinical personnel and / or resources by the healthcare provider taking into account the specified clinical services and patient acuity factors; • receive feedback on performance of one or more of the specified clinical services the artificial intelligence being trained on performance data relating to clinical personnel, clinical service providers, clinical resources, referrers, patient acuity factors, and patient outcome, the performance data being modified continuously or periodically to reflect the feedback.

The present application provides a radiotherapy system, a data processing method and a storage medium, which relate to the technical field of radiotherapy. The system includes a calibration database, a training module and a data processing module. The calibration database can obtain a plurality of sample data generated during the clinical treatment process. The training module can perform deep learning on the plurality of sample data stored in the calibration database to obtain a treatment algorithm model. The data processing module can process the detection data received during the clinical treatment process according to the treatment algorithm model to generate preliminary treatment data. Since the treatment algorithm model is obtained by performing deep learning on a large amount of clinical data, the reliability of the treatment algorithm model is relatively high. Correspondingly, the accuracy of the preliminary treatment data generated by the treatment algorithm model is also relatively high, which can be directly used for clinical treatment, or only requires a small amount of revision by clinical staff to be used for clinical treatment, thereby effectively improving the treatment efficiency of the radiotherapy system.

Methods and systems for electrical properties tomography imaging are presented. Electrical properties such as conductivity and permittivity of intervertebral discs are calculated with improved accuracy and displayed for assessment of clinical personnel.

An internal fistula needle for hemodialysis treatment relates to the technical field of medical instruments and comprises an internal fistula needle tube, the tail of the internal fistula needle tube is in threaded connection with a screw cap, the head of the internal fistula needle tube is provided with a first needle head, a branch tube is communicated and fixed to the position, close to the first needle head, of the internal fistula needle tube, and the tail of the branch tube is provided with a second needle head. According to the internal fistula needle for hemodialysis treatment, when blood needs to be drawn in the dialysis process of a patient, the risk that a pipeline is polluted can be reduced, a transfer needle tube is not needed, cost can be saved, operation is easy and fast, the risk of errors is reduced, meanwhile, the internal fistula needle can be used for hemodialysis treatment, and the internal fistula needle can be used for hemodialysis treatment. The blood loss risk in the operation process is greatly reduced, the risk that large external force is generated on the pipeline is not likely to happen, operation of clinical personnel is better facilitated, using is safer, adverse events such as needle pricking injury and blood loss can be reduced, and the effect of improving the comfort level, the satisfaction degree and the nursing quality of a patient is achieved.

A method for managing alarm events associated with patients assigned to clinical staff members. The method includes detecting an alarm event associated with a patient clinical status using a patient information system, identifying an assigned clinical staff member, and detecting the staff member's current location using a position tracking system. An availability status of the staff member is determined based on their location. If the staff member is unavailable to attend the alarm event, an alarm event summary is generated and communicated to the staff member using a user output subsystem. The method may involve determining availability based on predetermined areas, detecting non-response or unavailability inputs from the staff member, and communicating summaries to mobile devices.

A method of analyzing a patient's mental state, by automatically processing, integrating, and analyzing text-based and audio-based sources from the patient and clinical staff, and generating real-time outcomes and predictions. A system for processing, analyzing, and managing a patient's input including a data pool, model HUB, search service, topic modeling service, mental health related prediction service, and analytics all in electronic communication. A method of analyzing a patient, by processing, analyzing, and managing a patient's and clinical staff's text and audio input, and informing and augmenting diagnostic and prognostic processes, identifying improvement and deterioration of a patient's mental state, and identifying adverse events in psychotherapy, counseling, and other mental health management activities. A system for processing, analyzing, and managing clinical and diagnostic texts, and audio transcripts.