{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9854111","patent":{"patent_number":"US-9854111","title":"Methods and systems for cloud- and mobile device-based biological inventory tracking","assignee":null,"inventors":[],"filing_date":"2017-07-17T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["G06Q","G06F","G06F","G16H","G16H","G16H","G16H","G16H","H04L","H04L","H04L","H04N","H04W","H04L","H04N"],"num_claims":19,"abstract":"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."},"analysis":{"summary":"Methods and Systems for Cloud- and Mobile Device-based Biological Inventory Tracking provides a novel approach to managing biological specimens by leveraging cloud services and mobile devices. The core innovation lies in enabling real-time data capture and secure storage of specimen information, including images and identifying indicia, via mobile devices. This addresses the problem of inefficient and error-prone manual tracking methods prevalent in healthcare, research, and pharmaceutical sectors.\n\nThe technical approach involves utilizing mobile devices for data input, secure encrypted cloud storage for data management, and a software application for user access and tracking. The system determines specimen characteristics based on uploaded information and provides real-time tracking and status updates. Notifications and reminders are also integrated to ensure timely actions and prevent sample degradation.\n\nThe business value of this technology lies in its ability to improve data accuracy, reduce operational costs, and enhance productivity. By automating data capture and tracking, the system minimizes human error and streamlines workflows. This leads to faster research progress, improved patient safety, and reduced time-to-market for pharmaceutical products. The market opportunity is significant, as the demand for efficient and secure biological inventory management continues to grow across various industries.\n\nThis innovation presents a valuable solution for organizations seeking to optimize their biological inventory processes, enhance data security, and improve overall operational efficiency. The system ensures that specimens are accurately tracked and managed, minimizing the risk of loss or degradation. The enhanced efficiency and accuracy of specimen tracking also contribute to faster research progress, accelerating scientific discoveries. The potential impact of this patent on the biotechnology and healthcare industries is substantial, promising a more secure and efficient future for biological inventory management.","layman_explanation":"Methods and Systems for Cloud- and Mobile Device-based Biological Inventory Tracking is designed to solve the problem of inefficient and error-prone biological sample management. Many labs and research facilities still rely on manual methods, leading to inaccuracies, lost samples, and wasted time.\n\nThis system works by using mobile devices to capture information about each sample, including photos and identifying details. This data is then securely stored in the cloud, making it accessible to authorized personnel from anywhere. Think of it as a digital inventory system for biological samples, similar to how retailers track their products but with enhanced security and specific features for scientific applications. Instead of writing down information on paper, researchers use their phones or tablets to create a digital record of each sample.\n\nThis technology matters because it can significantly improve the efficiency and accuracy of research and healthcare processes. By reducing errors and streamlining workflows, it can save time and money, while also improving the reliability of research data and patient care. For example, this system can help ensure that the correct samples are used for diagnostic testing, reducing the risk of misdiagnosis. It also can streamline the process of tracking samples through complex research projects, ensuring that data is accurate and reliable. Potential ROI and business value include reduced labor costs, improved data quality, and faster research outcomes.\n\nFuture applications include integration with other lab management systems and the development of advanced analytics tools for analyzing sample data. Market adoption is expected to increase as more labs and research facilities recognize the benefits of this technology. Investment implications are positive, as this system offers a cost-effective solution for improving the efficiency and accuracy of biological sample management.","technical_analysis":"Methods and Systems for Cloud- and Mobile Device-based Biological Inventory Tracking employs a multi-tiered architecture comprising mobile devices, cloud storage, and a software application. The mobile devices serve as the primary data capture interface, enabling users to input specimen information, including images with identifying indicia, directly at the point of collection. These devices are equipped with a software application that facilitates data entry, image capture, and secure data transmission.\n\nThe captured data is then transmitted to a secure cloud storage environment, where it is stored in an encrypted format. The cloud storage provides scalability, accessibility, and data redundancy, ensuring that specimen information is always available and protected against data loss. The encryption process employs industry-standard encryption algorithms to safeguard sensitive biological data from unauthorized access.\n\nThe software application provides a user-friendly interface for managing and tracking specimens. It allows authorized users to access specimen data, view images, and generate reports. The application also incorporates features such as real-time tracking, automated notifications, and integration with other laboratory systems. The real-time tracking feature uses GPS or other location-based technologies to monitor the current location and status of each specimen. The automated notification feature alerts users to critical events, such as sample expiration or temperature excursions.\n\nThe integration with other laboratory systems, such as LIMS, streamlines data exchange and reduces the need for manual data entry. The system also incorporates advanced features such as image recognition, which automatically identifies specimen characteristics based on the uploaded images. This feature uses machine learning algorithms to analyze images and extract relevant information, such as specimen type, condition, and quantity.\n\nFrom a performance perspective, the system is designed to handle large volumes of data and support a high number of concurrent users. The cloud-based architecture provides scalability, allowing the system to adapt to changing data volumes and user demands. The system also incorporates caching mechanisms and other performance optimization techniques to ensure fast response times and minimal latency. The implementation details involve the use of various programming languages, such as Java, Python, and JavaScript, as well as cloud computing platforms such as Amazon Web Services (AWS) or Microsoft Azure. The system also uses various open-source libraries and frameworks to accelerate development and reduce costs.","business_analysis":"Methods and Systems for Cloud- and Mobile Device-based Biological Inventory Tracking presents a significant market opportunity in the healthcare, research, and pharmaceutical sectors. The traditional methods of biological inventory management are often inefficient, error-prone, and costly. This technology offers a solution by automating and streamlining the entire process, from data capture to storage and retrieval.\n\nThe market opportunity size is substantial, as the demand for efficient and secure biological inventory management continues to grow. The increasing complexity and volume of biological samples, coupled with stringent regulatory requirements, are driving the need for advanced tracking solutions. This technology offers a competitive advantage by providing real-time data capture, secure cloud storage, and automated tracking capabilities. The system also incorporates features such as image recognition, which automatically identifies specimen characteristics based on the uploaded images.\n\nThe revenue potential is significant, as the system can be offered as a subscription-based service or as a one-time purchase. The subscription-based model provides a recurring revenue stream, while the one-time purchase model allows for upfront revenue generation. The business model can also be tailored to meet the specific needs of different customers, such as small laboratories or large pharmaceutical companies.\n\nThe strategic positioning of this technology is strong, as it addresses a critical need in the market and offers a unique set of capabilities. The system can be positioned as a cost-effective solution for improving data accuracy, reducing operational costs, and enhancing productivity. The ROI projections are favorable, as the system can generate significant cost savings and revenue increases. The cost savings are achieved through reduced labor costs, improved resource utilization, and minimized data entry errors. The revenue increases are achieved through faster research progress, improved patient safety, and reduced time-to-market for pharmaceutical products.\n\nThe system also offers a strategic advantage by enabling new business models and partnerships. For example, the system can be integrated with other laboratory systems, such as LIMS, to provide a comprehensive solution for managing biological data. The system can also be offered as a white-label solution to other companies, allowing them to offer their own branded inventory tracking services. The potential impact of this technology on the biotechnology and healthcare industries is substantial, promising a more secure and efficient future for biological inventory management.","faqs":null,"topics":["biological inventory tracking","cloud services","mobile devices","specimen management","healthcare technology","methods","systems","cloud"],"tech_cluster":null},"seo":{"title":"Cloud-Based Biological Inventory Tracking - Patent US-9854111","description":"Discover Methods and Systems for Cloud- and Mobile Device-based Biological Inventory Tracking for real-time specimen tracking. Full patent analysis, claims, and business implications.","keywords":["biological inventory tracking","cloud services","mobile devices","specimen management","healthcare technology","patent","patent US-9854111"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9854111","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9854111","citation_suggestion":"Patentable. \"Methods and systems for cloud- and mobile device-based biological inventory tracking\" (US-9854111). https://patentable.app/patents/US-9854111","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9854111","json":"https://patentable.app/api/llm-context/US-9854111","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T05:11:06.127Z"}