43 results about "Patient evaluation" patented technology

Disclosed are probabilistic approaches to patient evaluation, warning and treatment of a neurological disorder. Disclosed techniques estimate probability distribution functions or cumulative distribution functions, determined by relying on representative historical profiles, comprising information in short and/or long timescales obtained at times that may be intermittent or temporally discontinuous from each other or from other events of interest. The patient may thereby be treated based on the determined probability information.

A patient evaluation method is disclosed in which non-standard input data is corrected in a syntax processing block with reference to a healthcare lexicon and a resulting corrected data file is thereafter used to reference an ontology in an ontology processing block to generate a standardized output.

Systems and methods for automated triage and scheduling in an emergency department are described. An example computer-implemented method of automatically triaging and scheduling patients in an emergency department includes associating a patient with an identification bracelet and processing the patient using a patient evaluation device. The processing includes obtaining patient data with the patient evaluation device and dynamically determining a risk level associated with the patient based on the patient data obtained. The method also includes automatically prioritizing and scheduling the patient with a healthcare practitioner based on the risk level determined.

A method and system employed by emergency responders to an emergency incident in the management of individuals injured in emergency incidents. An injured patient is tagged with a triage tag that has a bar code and an RFID inlay that identify the patient. At least one of the bar code and RFID inlay are scanned by a portable optical/electronic unit. As the patient is moved through various zones in which the condition of the patient is evaluated and, if necessary, the condition of the patient is treated, patient evaluation data is recorded in the in the portable optical/electronic unit and a command computer in association with patient identification data.

The invention provides a cervical cancer postoperative survival prediction method, system and device and a medium, and belongs to the technical field of medicine. On the basis of traditional patient evaluation, the influence of pathological factors on postoperative survival of patients is emphasized, and on the basis of a machine learning algorithm, a clinical prediction model for predicting postoperative survival of early cervical cancer patients is developed. According to the invention, more personalized clinical guidance opinions can be provided for selection and accurate treatment of earlycervical cancer postoperative adjuvant therapy schemes, so that the method has good practical application value.

A method and system facilitates the access by a patient of implanted medical device related data for patient participation in their own clinical care and therapy. In an example embodiment, the method includes establishing a communications link between an implanted medical device and a data processor via an implanted medical device interface. Access to a secured database is obtained via the implanted device data processor using a set of patient identification data. A query is then submitted via the data processor to the secured database in response to input patient diagnostic data. Data received from the secured database is then displayed for use in a patient evaluation.

The invention discloses a robot-based appointment registration system. The system comprises a single-chip microcomputer, a reminding module, a registration execution module, a user login module, a touch display screen, an intelligent mobile terminal and a cloud server; the single-chip microcomputer is connected with the cloud server; the single-chip microcomputer is connected with a plurality of intelligent mobile terminals through a communication module; the single-chip microcomputer is also connected with the touch display screen, a positioning module, the user login module, the reminding module, a patient evaluation module, and the registration execution module; the single-chip microcomputer is connected with a registration cancelling module through the reminding module, and is connected with a storage modules through the registration execution module; and the user login module includes a user login APP, and is also in network connection with the smart mobile terminals and the touchdisplay network. With the robot-based appointment registration system and method adopted, the efficiency of appointment registration can be improved, time can be saved, and timely medical consultation and treatment can be ensured. The robot-based appointment registration system is convenient and practical.

The invention belongs to the traditional Chinese medicine field, and concretely discloses a traditional Chinese medicinal compound preparation for treating the type 2 diabetes. The traditional Chinese medicinal compound preparation for treating the type 2 diabetes is prepared through adopting Radix Scutellariae, Rhizoma Coptidis and Radix Puerariae as primary medicines and mixing with auxiliary medicines. The invention also discloses a preparation method of the traditional Chinese medicinal compound preparation for treating the type 2 diabetes. Experiments show that the traditional Chinese medicinal preparation can adjust the glycometabolism of patients suffering from the type 2 diabetes, and can also improve the islet beta cell functions of the patients. The preparation can well treat the type 2 diabetes, and has the advantages of small dosage, appropriate price, safety and effectiveness after long-term taking, and good patient evaluation.

The invention discloses a smart clinic. The smart clinic is composed of a smart clinic cloud platform, a registered clinic, a registered clinic terminal, a registered expert terminal, a patient terminal, a sensor group module, a full department diagnosis and treatment center and a full department diagnosis and treatment center terminal; the smart clinic cloud platform is connected with the varioustypes of terminals through an optical fiber or a 4G or 5G wireless mode; the sensor group is in wireless or wired connection through the various terminals so as to complete data acquisition; and theterminals perform data interaction through accessing the cloud platform. Smart diagnosis software modules include an expert registration authentication module, a consultation and diagnosis expert verification module, an expert rating module, an expert consultation and diagnosis log module, a patient basic information acquisition module, a sensor module, an inquisition information module, a video module, a remote diagnosis (consultation) module, a fee payment and invoice module, a disease classification module, a full department diagnosis and treatment center and a patient evaluation module. With the smart clinic of the invention adopted, a clinic can be enpowered, people can enjoy high-quality medical resources and health medical products conveniently at low cost, medical frauds and medical disputes can be effectively prevented, and the health of the Chinese people can be protected.

A method, system and apparatus for assessing the coupling between lung perfusion and ventilation in a patient who is mechanically ventilated or who is breathing spontaneously through a conventional artificial airway is provided. Embodiments of the apparatus comprise an adaptor configured to fit between the artificial airway and mechanical ventilator (or to attach to the free end of the artificial airway in cases where the patient is breathing spontaneously), a measuring chamber in constant fluid communication with the adaptor via one or more measuring chamber sampling ports, and a monitoring unit where data obtained from temperature and relative humidity sensors located in the measuring is calibrated, sampled, logged and analyzed together with anthropometric patient data provided by the operator in order to calculate and/or derive a novel cardio-pulmonary coupling index termed "Qi" as described, and to enable ongoing diagnostic cardio-pulmonary monitoring of a patient by comparing changes in the patient's Qi index during a monitoring interval. The Qi index is expressed in non-dimensional units, and is displayed relative to a range of "normal" values defined with reference to values that are commonly observed at rest in persons in good general health and who generally match a given patient in gender, age and body size, and/or as a specific patient's baseline values at rest or under stress at the outset of a monitoring interval.

The invention provides a doctor-patient communication emergency nursing platform, which comprises a patient client, a patient real-name-authenticated account, a mobile phone client, a network client, an online consulting module, a key field screening module, a central processor, a registration integrated processing module, a network registration module, an outpatient service registration module, a doctor client, a doctor real-name-authenticated account, a comprehensive scoring module, a personal information module and a patient evaluation module, wherein the patient client is connected with the doctor client through the key field screening module and the central processor in sequence. The doctor-patient communication emergency nursing platform has the beneficial effects of allowing doctors and patients to communicate before face-to-face diagnosis and treatment, and making full use of the first-aid time.

An in-person physician examination scheduling system and processes for pairing mobile devices to initiate patient communication with a nearby physician and for using 3D human anatomical models to self-report symptoms to the physician for an in-person examination are disclosed. The in-person physician examination scheduling system provides two-way communication between patients with urgent medical needs and physicians who are available to facilitate in an in-person examination. The in-person physician examination scheduling system utilizes comprehensive medical algorithms with the assistance of a 3D human anatomical model to improve diagnostic accuracy and timely treatments during physician-patient evaluations. The in-person physician examination scheduling system records geospatial data, enabling the analysis of real-time medical trends by demographic criteria and geographical regions. The in-person physician examination scheduling system provides visual annotations of patients' symptoms using the 3D human anatomical model to describe and illustrate symptoms.

What is disclosed is a software tool which enables medical practitioners to manually or automatically analyze a thermal image of an area of breast tissue for the presence of tumorous tissue. In one embodiment, the software interface tool disclosed herein comprises a patient details object which enables the display of a patient details screen wherein a user can enter/edit patient information. A thermal analysis object enables a user to analyze a displayed thermal image of a breast of a patient for breast cancer screening and to classify tissue identified in the thermal image as being tumorous. A modalities object concludes the patient evaluation, persists all data collected from other sections of the tool, and generates reports for documentation purposes. The information can be captured from a database and edited and analyzed further using the tool. Also, report containing all the relevant data is generated for doctor's reference.

A whole-patient system for joint replacement care has seven intrinsic steps/features, which apply both to the patient care method itself and to the overall administrative system which embodies the method. These key seven steps are: (1) Patient evaluation and pre-screening; (2) Body Mass Index assessment; (3) Diagnostic study selection protocol; (4) Operating room set-up protocol; (5) Joint size and type selection and delivery; (6) Procedure length duration estimation; and (7) Post-operative nausea/vomiting and pain management. These steps are institutionalized into a business method in which each is particularly documented.

The invention discloses a neuroblastoma-related tumor marker PHF20 and application of a kit for detecting the expression level of PHF20 to neuroblastoma detection and diagnosis or prognostic patient evaluation, and belongs to the field of tumor diagnosis and molecular targeted therapy. The expression level of the PHF20 is closely related to clinicopathological parameters and patient prognosis, sothat the PHF20 can be used as a specific tumor marker for early detection of neuroblastoma or a prognostic index.

A method for evaluating a patient is disclosed herein. The method includes performing an exercise test on a patient, obtaining an electrocardiogram during the exercise test, converting the electrocardiogram to an audio file, and analyzing the audio file in order to evaluate the patient. A corresponding system for evaluating a patient is also provided.

The invention provides a method for predicting delirium through artificial intelligence, and belongs to the field of critical patient evaluation. The method comprises the steps: related data of a patient and a hospital are included through a structured language; feature variables are screened based on a random forest, and a prediction model is constructed through regularization logistic regression, K nearest neighbor, a support vector machine, the random forest, limit gradient lifting and a deep neural network algorithm; and through prediction probabilities of different methods, ensemble learning is carried out through a limit gradient lifting algorithm to finally predict whether a critical patient has delirium or not, and the occurrence probability of the delirium is further calculated. According to the method, patient data and hospital feature information are utilized as much as possible, and individualized evaluation for predicting the critical patient is carried out, so that prediction bias caused by a certain model is weakened, and prediction accuracy is improved.

The invention discloses artificial cochlea implanted child patient evaluation and training application system engineering, comprising the following specific steps of (1), sensing barrier by a child patient; (2), carrying out evaluation; (3), mounting a mobile phone APP client according to an evaluation result, inputting information, carrying out registration and authorizing a training course through prompt; (4), training the child patient; (5), automatically recoding everyday training time of the child patient, and moreover, obtaining everyday training effect of the child patient; (6), drawing a development curve through the APP according to the everyday training time and training effect of the child patient; (7) uploading information to a background server employed by a doctor or a doctor version APP client every day, wherein if the training effect is poor or the training time is not enough, the doctor timely communicates with a parent and requires the child patient to carry out further consultation or adjusts a training scheme; and (8), automatically prompting the further consultation time to the parent in advance according to the further consultation or the adjusted training scheme. The engineering has the beneficial effect of high pertinence and good effect.

The present disclosure relates to antibodies, for example monoclonal antibodies, and their use in clinical patient evaluation and therapy. The present disclosure further relates to a method for modulating the activity of human CXCL-1 protein (hereinafter, referred to as CXCL1). In an aspect, antibodies described herein are capable of being used as a medicament for the prevention and/or treatment of diseases involving CXCL1 function, for example, pathological angiogenesis and inflammatory diseases.

The invention discloses an automatic assessment method for limb dysfunction of a lumbago patient based on multi-source features, and the method comprises the steps: firstly, carrying out the automatic segmentation of multifidus muscle and erector spine muscle in a waist nuclear magnetic resonance (MRI) image through a U-Net neural network, and achieving the extraction of imaging features, such as the muscle cross-sectional area and the fat infiltration degree, through a maximum between-class variance method; secondly, screening clinical common lumbago patient evaluation scales, and extracting scale characteristics; then, screening all features by using a support vector machine recursive feature elimination algorithm (SVM-RFE), reducing feature redundancy, and determining an optimal feature combination; and finally, a support vector machine (SVM) method in machine learning is selected to construct a limb dysfunction assessment model of the lumbago patient, and automatic assessment and discrimination of dysfunction of the lumbago patient are realized. According to the method, the automatic assessment of the limb dysfunction degree of the lumbago patient is realized by combining a support vector machine method based on multi-source feature combination such as scale and iconography for the first time.

A method includes receiving audio files from a computer using a portable electronic device. The audio files are electrocardiograms obtained during exercise tests performed on patients and converted to an audio format. The method also includes performing audio playback of the audio files, receiving user input at the portable electronic device regarding an analysis of the patients based on the playback of the audio files, and compiling a list of a group of the patients selected for further investigation based on the user input.