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US 12,178,759 B2Granted
Relocation module and methods for surgical equipment
AssigneeAugustine Biomedical + Design, LLC
InventorsScott D. Augustine, Susan D. Augustine, Garrett J. Augustine, Brent M. Augustine, Ryan S. Augustine, Randall C. Arnold
Life of this patent
Estimating the term…
Abstract
Module for housing electronic and electromechanical medical equipment including a portable digital camera and processing circuitry with machine vision and machine learning software for automatically documenting healthcare events and healthcare equipment operations in the electronic health record.
Claims25
An automated data consolidation module including a system to receive and record data produced by electronic and electromechanical medical equipment, the automated data consolidation module comprising:
- a module;
- at least one handheld digital camera configured to produce digital data;
- and
- processing circuitry in wired or wireless electrical communication with the at least one handheld digital camera to receive the digital data, wherein the digital data is automatically delivered to the processing circuitry and software, and wherein the processing circuitry and software is configured to interpret the digital data by:
- performing at least one of machine learning (ML) and artificial intelligence (AI) analysis to:
- identify specific visual elements of an image of the digital data by matching a subject image of the digital data to known images stored in an image library, to create matched identified specific visual elements of the image that show an operating parameter of a medical item or device performing a dose event or the specific visual elements of an image that show a measurement of a response event;
- add time stamps or other indicators of time to the identified specific visual elements so that the digital data can be temporally correlated during subsequent big data or clinical decision support analysis;
- and
- automatically save information provided by the matched identified specific visual elements of the image or the image itself to an electronic record or database;
- wherein the at least one handheld digital camera, processing circuitry and software are configured to photograph, analyze, and record at least one of a quick response (QR) code, a barcode, or other identifier that is attached to the medical item or device, and wherein the QR code, barcode, or other identifier identifies at least one of a type of item or device, a manufacturer of the item or device, and a model of the item or device, narrowing the ML or AI analysis by directing the ML or AI analysis to a folder containing images of a specific type, manufacturer, or model of the item or device associated with the identifier.
7 more elements
An automated data consolidation module including a handheld digital camera comprising:
- a module;
- at least one handheld digital camera;
- and
- processing circuitry in wired or wireless electrical communication with the at least one handheld digital camera to receive and record digital data produced by the at least one handheld digital camera, wherein the at least one handheld digital camera and the processing circuitry and software are configured to photograph, analyze, and record at least one of a QR code, a barcode or other identifier that is attached to a medical item or device, the QR code, barcode, or other identifier identifying at least one of a type of the medical item or device, a manufacturer of the medical item or device, and a model of the medical item or device;
- wherein the digital data from the at least one handheld digital camera includes an image of the medical item or device that is automatically delivered to the processing circuitry and software, and wherein the processing circuitry and software are configured to perform at least one of machine learning (ML) and artificial intelligence (AI) analysis to:
- identify specific visual elements of the image by matching the image to known images stored in an image library to form matched specific visual elements of the image that show an operating parameter of the medical item or device performing a dose event or the specific visual elements of an image that show a measurement of a response event;
- and
- automatically save information provided by the matched specific visual elements of the image or the image itself to an electronic record or database;
- and
- wherein the QR code, barcode, or other identifier that is attached to the medical item or device narrows the ML and AI image analysis by directing a search of the analysis to a folder containing images of the type, manufacturer, or model of the medical item or device.
7 more elements
An automated data consolidation module including a system to receive and record data produced by electronic and electromechanical medical equipment, the automated data consolidation module comprising:
- a module;
- at least one handheld digital camera configured to produce digital data, the at least one handheld digital camera including a laser pointer to assist in aiming the at least one handheld digital camera at a subject item or device;
- and
- processing circuitry in wired or wireless electrical communication with the at least one handheld digital camera to receive the digital data, wherein the digital data is automatically delivered to the processing circuitry and software, and wherein the processing circuitry and software is configured to interpret the digital data by:
- performing at least one of machine learning (ML) and artificial intelligence (AI) analysis to:
- identify specific visual elements of an image of the digital data by matching a subject image of the digital data to known images stored in an image library, to create matched identified specific visual elements of the image that show an operating parameter of a medical item or device performing a dose event or the specific visual elements of an image that show a measurement of a response event;
- add time stamps or other indicators of time to the identified specific visual elements so that the digital data can be temporally correlated during subsequent big data or clinical decision support analysis;
- and
- automatically save information provided by the matched identified specific visual elements of the image or the image itself to an electronic record or database;
- wherein the at least one handheld digital camera, processing circuitry and software are configured to photograph, analyze, and record at least one of a quick response (QR) code, a barcode, or other identifier that is attached to a medical item or device, and wherein the QR code, barcode, or other identifier identifies at least one of a type of item or device, a manufacturer of the item or device, and a model of the item or device, narrowing the ML or AI analysis by directing the ML or AI analysis to a folder containing images of a specific type, manufacturer, or model of the item or device associated with the identifier.
7 more elements
An automated data consolidation module including a handheld digital camera comprising:
- a module;
- at least one handheld digital camera;
- and
- processing circuitry in wired or wireless electrical communication with the at least one handheld digital camera to receive and record digital data produced by the at least one handheld digital camera, wherein the at least one handheld digital camera and the processing circuitry and software are configured to photograph, analyze, and record at least one of a QR code, a barcode or other identifier that is attached to a medical item or device, the QR code, barcode, or other identifier identifying at least one of a type of the medical item or device, a manufacturer of the medical item or device, and a model of the medical item or device;
- wherein the digital data from the at least one handheld digital camera includes an image of the medical item or device that is automatically delivered to the processing circuitry and software, and wherein the processing circuitry and software are configured to perform at least one of machine learning (ML) and artificial intelligence (AI) analysis to:
- identify specific visual elements of the image by matching the image to known images stored in an image library to form matched specific visual elements of the image that show an operating parameter of the medical item or device performing a dose event or the specific visual elements of an image that show a measurement of a response event;
- and
- automatically save information provided by the matched specific visual elements of the image or the image itself to an electronic record or database;
- and
- wherein the QR code, barcode, or other identifier that is attached to the medical item or device narrows the ML and AI image analysis by directing a search of the analysis to a folder containing images of the type, manufacturer, or model of the medical item or device;
- and
- wherein the QR code, barcode, or other identifier is attached to the medical item or device in a prescribed location on the medical item or device relative to the specific visual elements to be identified and the prescribed location of the QR code, barcode, or other identifier becomes a target for a laser pointer to standardize a scene and to orient the at least one handheld digital camera to match similarly structured scenes and camera orientations of the known images stored in an image library.
9 more elements
Dependencies are inferred from the claim text.