Global Specimen Solutions, Inc. (20240378555). CLOUD AND MOBILE DEVICE-BASED BIOLOGICAL INVENTORY TRACKING simplified abstract
Contents
- 1 CLOUD AND MOBILE DEVICE-BASED BIOLOGICAL INVENTORY TRACKING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 CLOUD AND MOBILE DEVICE-BASED BIOLOGICAL INVENTORY TRACKING - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Commercial Applications
- 1.9 Questions about Biological Inventory Tracking Technology
- 1.10 Original Abstract Submitted
CLOUD AND MOBILE DEVICE-BASED BIOLOGICAL INVENTORY TRACKING
Organization Name
Global Specimen Solutions, Inc.
Inventor(s)
Amelia Wall Warner of Raleigh NC (US)
Mark Anthony Collins of Raleigh NC (US)
CLOUD AND MOBILE DEVICE-BASED BIOLOGICAL INVENTORY TRACKING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240378555 titled 'CLOUD AND MOBILE DEVICE-BASED BIOLOGICAL INVENTORY TRACKING
Simplified Explanation
The patent application describes methods, systems, and computer program products for tracking biological inventory using cloud services and mobile devices. Information about specimen samples is input from a mobile device, including an image with identifying indicia. This information is uploaded, stored in an encrypted format, and accessible to authorized users. Characteristics of the specimen sample are determined based on the information, and real-time tracking and status updates are provided to the mobile device.
- Information input from mobile device about specimen sample
- Image of specimen sample with identifying indicia captured using mobile device
- Information uploaded and stored in encrypted format
- Characteristics of specimen sample determined based on information
- Real-time tracking and status updates provided to mobile device
Potential Applications
This technology can be used in various fields such as healthcare, agriculture, environmental monitoring, and research laboratories for efficient tracking and management of biological inventory.
Problems Solved
This technology addresses the challenges of manual tracking and management of biological inventory, ensuring accurate and real-time information for better decision-making.
Benefits
The benefits of this technology include improved efficiency, accuracy, and transparency in tracking biological inventory, leading to better inventory management and decision-making.
Commercial Applications
Title: "Enhanced Biological Inventory Tracking Technology for Improved Management" This technology can be commercially applied in healthcare facilities, agricultural farms, research laboratories, and environmental monitoring organizations to streamline inventory tracking processes and enhance overall operational efficiency.
Questions about Biological Inventory Tracking Technology
How does this technology improve the accuracy of tracking biological inventory?
This technology improves accuracy by allowing real-time tracking and providing detailed information about specimen samples, ensuring better management and decision-making.
What are the potential applications of this technology beyond biological inventory tracking?
This technology can be applied in various industries such as healthcare, agriculture, and research for efficient inventory management and tracking processes.
Original Abstract Submitted
the subject matter described herein includes methods, systems, and computer program products for biological inventory tracking using cloud services and mobile devices. according to one method, information is input from a mobile device about a specimen sample. the information includes an image of the specimen sample captured using the mobile device including an identifying indicia. the information is uploaded and stored in an encrypted format accessible to authorized and verified users. at least one characteristic of the specimen sample is determined based on the information. tracking and status information, as well as notifications or reminders, regarding the specimen sample are provided in real-time or near real-time to the mobile device.
