8 results about "Primary physician" patented technology

The invention discloses a multifunctional traditional Chinese medicine diagnosis and treatment box, which belongs to the technical field of traditional Chinese medicine diagnosis and treatment boxes, and comprises a box body, a box cover, in-box accessories, a first-aid kit and auxiliary equipment, a main groove, a side groove, a sterile groove and a power supply groove are formed in a box body, and a storage plate with an elastic ring belt is arranged in a box cover; the first-aid kit can be quickly detached and comprises basic first-aid articles such as a tourniquet; in accessories in the box, an instrument box with sizing damping cotton is used for protecting glass cupping devices and the like, a medicinal material box is damp-proof and insect-proof, and a closed sterile box is used for storing acupuncture needles and the like; the auxiliary equipment comprises a power supply device and a foldable lighting device. The diagnosis and treatment box integrates diagnosis, treatment and disinfection functions, is portable and efficient, and adapts to home service and family diagnosis and treatment scenes of primary doctors.

Methods and devices for tying management of an implantable medical device to the activities of a primary care physician are described, including access control, simplified parameter optimization, support for tuning a device in response to the effects of other treatments in parallel, and support for helping a primary physician and a patient work together to tune device configuration to the activity and performance needs of the patient. In some embodiments, a medical device is self-configuring in a device parameter domain, based on inputs provided in a patient performance domain. The self-configuring of the medical device is based, for example, on an automatically applied transformation of inputs derived from patient performance domain observations into changes in the configuration of the medical device which affect technical parameters of its operation.

Methods and devices for tying management of an implantable medical device to the activities of a primary care physician are described, including access control, simplified parameter optimization, support for tuning a device in response to the effects of other treatments in parallel, and support for helping a primary physician and a patient work together to tune device configuration to the activity and performance needs of the patient. In some embodiments, a medical device is self-configuring in a device parameter domain, based on inputs provided in a patient performance domain. The self-configuring of the medical device is based, for example, on an automatically applied transformation of inputs derived from patient performance domain observations into changes in the configuration of the medical device which affect technical parameters of its operation.

A healthcare delivery system that embodies methods of empowering collaborative multidisciplinary healthcare and the clinics that support them for providing everyday care to patients with chronic conditions, through in part by eliminating the current referral system to multiple specialists and providing collaborative multidisciplinary healthcare. A healthcare delivery that upends the traditional model where primary care physicians, who have an essentially blind first visit with a patient, try to develop plan of coordinated care in a very fragmented manner by referring patients to multiple specialists as needed. The present invention takes unconventional ordering of combined steps to deliver improved healthcare drastically differently from the traditional model.

This invention relates to the field of medical artificial intelligence technology, and in particular to an AI-assisted diagnostic decision-making system for rare bladder diseases. The system includes modules for data acquisition, feature extraction and quantification, an AI rule-based reasoning engine, error warning, and treatment decision output. Its core lies in using natural language processing technology to transform unstructured clinical text into feature tags. The AI ​​engine then executes a multi-level identification process of "excluding infection – rapid screening of medical history – precise matching," outputting a list of candidate diseases sorted by probability. Simultaneously, the system can automatically warn of clinical errors such as antibiotic abuse and overtreatment, and generate a comprehensive report including primary care treatment plans and referral criteria. This invention combines a rule engine with intelligent reasoning, providing primary care physicians with a standardized and easy-to-use auxiliary diagnostic tool, which helps improve the efficiency and standardization of rare disease diagnosis and has high clinical translational value.

This invention describes how users can capture digital artifacts from any medical device using their mobile device. Some examples of medical devices included, but are not limited to a medical ID card, Medical ID bracelet, Electronic Medical Records, blood pressure machines, blood glucose, scales, inhalers, INR, prescription bottles and trays, pulse oximeter, etc. Digital artifacts included, but are not limited to a medical ID, basic patient information, patient contact information, emergency contact information, primary care physician information, health insurance information including co-pay and deductibles, prescriptions, office visit summary, appointment cards, Electronic Medical Records (EMR), lab results, blood type, organ / donor status, vital signs, diagnostic data, immunization records, payments and transaction history, pictures, etc

The invention discloses a medical image intelligent diagnosis method and system based on deep learning, and relates to the technical field of medical iconography, and the method comprises the steps: receiving a multi-mechanism medical image with an initial diagnosis label, and generating an enhanced sample according with anatomical features through an adaptive data enhancement module based on an anatomical structure according to organ partitions; a hierarchical federated learning framework is established, a central server cooperates with multi-mechanism edge nodes, the edge nodes train an initial deep learning model by using local data, a central aggregation gradient generates global parameter feedback, and iteration is performed until the model is converged; constructing an annotation consistency evaluation module, carrying out secondary annotation by the specialist physician, calculating a weighted Kappa coefficient and a Dice similarity coefficient, and if the index does not reach the standard, rechecking by a secondary and primary physician; establishing an annotation-model feedback closed loop, and finely adjusting the local model by using recheck data; inputting a to-be-diagnosed image into the global model, outputting a lesion thermodynamic diagram, property probability distribution and confidence, and triggering manual review and outputting a feature analysis report when the confidence is low.

A system is provided.SOLUTION: A system comprising: means for collecting food allergen information from a store; means for analyzing the collected food allergen information and identifying allergen components; means for storing the identified allergen components in a database; means for updating the allergen information in the database; means for providing the updated allergen information to a user; means for receiving a report from the user when an allergic reaction occurs; means for analyzing the received report information and identifying related menus and components; and means for linking the analysis result to a primary care physician.SELECTED DRAWING: Figure 1