OPTICAL READER ANALYZING MEDICAL

Brand Owner Address Description
ACUCY SEKISUI DIAGNOSTICS One Wall Street Burlington MA 01803 Optical reader for analyzing medical diagnostic results and related printer peripheral;Diagnostic reagents for medical use; diagnostic preparations for medical purposes; kits comprised of diagnostic reagents for medical use; medical diagnostic kits comprised of medical diagnostic test strips for nasal secretion analysis; medical diagnostic lateral flow assay test strips for nasal secretion analysis and cassettes specifically adapted for carrying such test strips;Diagnostic controls for monitoring the performance of diagnostic reagents on an assay device for medical use, namely, calibrating and quality control fluids for biological specimen analyzers; kits comprised of diagnostic controls for monitoring the performance of diagnostic reagents on an assay device for medical use, namely, kits comprised of calibrating and quality control fluids for biological specimen analyzers; kits comprised of instrument calibrating and quality control fluids that are used to calibrate the performance of a medical diagnostic instrument for use with diagnostic reagents;Medical diagnostic apparatus for testing bodily fluids and human biological matter and structural parts and fittings for the aforesaid goods, namely, bodily fluid sample collection kits primarily consisting of dropping pipettes for medical purposes, bodily fluid collecting test tubes and also containing cotton swabs for medical use, calibration devices for calibrating bodily fluid testing devices and medical diagnostic lateral flow assay test strips for bodily fluid analysis;
 

Where the owner name is not linked, that owner no longer owns the brand

    
Technical Examples
  1. The invention includes a medical document handling system and method and automated coding systems and methods for assigning predetermined medical codes to medical documents based on the documents' contents. The invention functions by analyzing electronic medical records and extracting medical information using natural language processing and machine learning. The system collects and amalgamates medical documentation in various formats from multiple sources and locations, normalizes the information, analyzes the information, recognizes information indicating contents corresponding to classification codes, assigns classification codes, and presents information in context correlated to medical records for billing and other purposes.