Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

900 results about "Patient need" patented technology

System and method for automatically generating evidence-based assignment of care providers to patients

A system and related techniques automatically generate optimized, best-match or sufficient assignments of care providers, such as physicians, nurses or technicians, to a patient based on clinical evidence, documentation, workload, infectious status and other factors. In embodiments, the patient's chart or other clinical record may be accessed by a rules-based engine configured with rules which relate a patient's clinical status and needs to the qualifications, certifications, capabilities and skills of care providers and select the care provider best qualified to service that patient's clinical requirements. The pool of available care providers may for example be ascertained from personnel systems recording staff schedules and estimated workload, while the qualifications of each provider indicating the categories of patient care and support that provider is qualified to provide may be accessed from a provider data store. For instance, nurses or technicians trained or certified in acute, emergency or surgical care may be identified for assignment to high acuity patients, or those presenting special or advanced care demands. According to the invention in a further regard, the provider's potential infectious exposure to other patients or from other sources may be screened to prevent that provider from being assigned to immune-compromised or other patients. Embodiments of the invention may present floor managers with a graphical display of available providers and generated assignments, which in embodiments the manager may override at their clinical discretion. Because patient needs are automatically aligned with provider capabilities, availability and other factors, the errors, oversights and inefficiencies of manual or informal assignment systems are avoided and better health care delivery can be realized.
Owner:CERNER INNOVATION

Artificial intelligence auxiliary diagnosis and treatment system and construction method thereof, equipment and storage medium

The invention discloses an artificial intelligence auxiliary diagnosis and treatment system and a construction method thereof, equipment and a storage medium and belongs to the technical field of lifehealth. The system includes a disease knowledge map module, a disease diagnosis model module and a machine learning decision module, wherein the disease knowledge map module is configured to collectvarious resources about diseases and form a disease knowledge database for querying and reading, the disease diagnosis model module is configured to receive the patient information, store the information in the system database, input the information to the machine learning decision module, extract indicator data from the disease knowledge map module through the machine learning decision module toperform comparative analysis, push a patient information set and suggest an examination which a patient needs to take and a scheme set of related drug treatment for choose of doctors. The system is advantaged in that the underlying knowledge map is comprehensive and authoritative, interaction operation is simple, use efficiency is high, on the human-computer interaction level, the intelligence degree is high.
Owner:长沙瀚云信息科技有限公司

Electroencephalograph-based anesthesia depth monitoring method

InactiveCN104545949AAi value is reasonableDiagnostic signal processingSensorsPatient needDeep anesthesia
The invention discloses an electroencephalograph-based anesthesia depth monitoring method. The electroencephalograph-based anesthesia depth monitoring method comprises the following steps of (11) collecting electroencephalograph signals of a patient during the whole operation process for the patient needing an operation with anesthesia, and calibrating the state of anesthesia in time intervals according to actual requirement; (12) removing artifacts and noise in the electroencephalograph signals for the collected electroencephalograph signals; (13) calculating frequency domain index, complexity and burst suppression index for the interference-free electroencephalograph signals obtained in the step (12); (14) according to index parameters in the step (13), dividing the signals into five types of sobriety, light anesthesia, medium anesthesia, deep anesthesia and ultra-deep anesthesia; (15) assigning the weights of the index parameters in the step (13), integrating the indexes into Ai index, and carrying out the judgment of anesthesia depth according to the Ai index, wherein the Ai index is equal to FORMULA, and indexi is an index parameter in the step (13), and wi is the weight of the index parameter. Different weight values are given according to varied obvious degree at different periods, so that the obtained Ai value is more reasonable.
Owner:ZHEJIANG PEARLCARE MEDICAL TECH

Three-stage brain-controlled upper limb rehabilitation method combining steady-state visual evoked potential and mental imagery

The invention relates to a three-stage brain-controlled upper limb rehabilitation method combining steady-state visual evoked potential and mental imagery (MI). The method comprises the following steps: (1) the first stage of VR video guidance training: a patient is made to be familiar with upper limb rehabilitation movements through VR video guidance; (2) the second stage of VR-SSVEP training: the patient needs to concentrate to observe pictures that represent different upper limb movements and flicker with a specific frequency, EEG signals of the patient are collected in real-time to analyzeintentions of the patient, and visual feedback is provided to the patient through VR animation to make the patient learn to concentrate; and (3) the third stage of VR-MI training: EEG signals of theleft and right upper limbs of the patient during MI are collected during off-line training, and a mental imagery intention recognition model is established. The EEG signals of mental imagery of the patient are analyzed according to the model during online training, movement intentions of the patient are recognized, and movements of a 3D character in an interface are controlled in real time, so that brain central nerve remodeling is facilitated through MI. The method exhibits a good immersion property, enables active rehabilitation to be realized, enables rehabilitation to proceed step by step,and is a new method for upper limb rehabilitation of a cerebral stoke patient.
Owner:SHANGHAI UNIV

Multifunctional nursing chair bed

A multifunctional nursing chair bed relates to a nursing device for patients in hospitals and families and aims to resolve problems that the adjusting angle of a backrest of an existing sickbed is small, a patient cannot sit on the sickbed, the patient needs to be lifted up or sling so as to move to a wheelchair from the sickbed or to the sickbed from the wheelchair, labor intensity is high when the patient is lifted up, equipment investment is high when the patient slings, most of toilet stools matched with the existing sickbed and the existing wheelchair are basin-shaped and are fixed, the patient is easy to defecate or urinate outside the toilet stools, and an indoor environment is affected. The multifunctional nursing chair bed has the advantages that the patient can be easily shiftedto the chair bed from a sickbed or to the sickbed from the chair bed, so that nursing labor intensity is relieved. The patient can sit at optional angles. The patient can sleep reversely and the likeby means of adjusting the heights of three hydraulic cylinders, and recovery of the patient is facilitated. A liftable toilet stool can improve a nursing environment and the quality of indoor air. Accordingly, the multifunctional nursing chair bed is suitable for hospitals, recuperation and hospice care institutions and families with patients.
Owner:康力元(天津)医疗科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products