{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9853972","patent":{"patent_number":"US-9853972","title":"Pharmacy authentication methods and systems","assignee":null,"inventors":[],"filing_date":"2015-09-30T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H04L","G06F","G06F","G06F","H04L","G06F"],"num_claims":20,"abstract":"An electronic image that includes information identifying a user of a client device is received, as is another electronic image that captures the face of the user. A first account (e.g., a store account) is linked to a second account (e.g., a pharmacy account) if an image of the user extracted from the first electronic image matches the face of the user."},"analysis":{"summary":"Pharmacy Authentication Methods and Systems introduces a novel approach to user authentication in pharmacy settings, leveraging facial recognition technology to enhance security and streamline operations. The core innovation lies in linking a user's store account with their pharmacy account through facial biometric verification. This technology addresses the critical problem of prescription fraud and identity theft, which costs the healthcare industry billions of dollars annually and compromises patient safety. The patent describes a system that captures an electronic image of the user's face and compares it against a stored image from their linked account, providing a quick and reliable means of verifying identity. This approach offers significant business value by reducing fraud, improving operational efficiency, and enhancing customer satisfaction. The market opportunity is substantial, as pharmacies increasingly seek ways to improve security and enhance the patient experience. By providing a secure and convenient authentication method, this technology has the potential to transform the way pharmacies operate, making them more secure, efficient, and patient-centered. The automated verification process also speeds up transactions, leading to shorter wait times and improved customer satisfaction. Furthermore, this innovation aligns with the growing trend of using biometric data for authentication in various industries, indicating its potential for widespread adoption.","layman_explanation":"Pharmacy Authentication Methods and Systems aims to solve the problem of prescription fraud and identity theft in pharmacies. Existing solutions, such as manual ID checks and PIN codes, are often inadequate and can be easily compromised. This innovation works by using facial recognition technology to link a user's store account with their pharmacy account. When a patient goes to pick up a prescription, the system captures an image of their face and compares it to the image stored in their account. If the images match, the patient is authenticated, and the prescription can be dispensed. This matters because it reduces the risk of unauthorized individuals obtaining prescription medications, protecting both patients and pharmacies. The market impact is significant, as it provides a more secure and efficient way to verify patient identities. Potential ROI includes reduced fraud losses, improved operational efficiency, and enhanced customer satisfaction. Future applications could include integration with electronic health records and other healthcare systems. Market adoption is expected to increase as pharmacies seek ways to improve security and enhance the patient experience. Investment implications are positive, as this technology has the potential to transform the pharmacy industry.","technical_analysis":"Pharmacy Authentication Methods and Systems employs a multi-faceted technical architecture to achieve secure and efficient user authentication. The system comprises an image capture module, a facial recognition engine, a secure database, and integration APIs. The image capture module acquires electronic images of the user's face, either through a client device camera or a dedicated pharmacy kiosk. The facial recognition engine utilizes advanced image processing algorithms to extract facial features from the captured images and compare them against stored images in the database. This engine typically employs convolutional neural networks (CNNs) trained on large datasets of facial images to achieve high accuracy and robustness. The secure database stores user images and account information, employing encryption and access control mechanisms to protect sensitive data. The integration APIs enable seamless integration with existing pharmacy management systems, allowing pharmacies to easily adopt and deploy the technology. The system's performance characteristics are optimized for speed and scalability, ensuring quick authentication even with large user populations. Code-level implications involve careful consideration of image processing library selection, CNN model optimization, and secure coding practices. The system's architecture is designed to be modular and extensible, allowing for future enhancements and integration with other biometric modalities.","business_analysis":"Pharmacy Authentication Methods and Systems presents a compelling business opportunity within the healthcare technology sector. The market opportunity is significant, driven by the increasing prevalence of prescription fraud and the growing demand for enhanced security measures in pharmacies. The system's competitive advantages include its use of facial recognition technology, its seamless integration with existing pharmacy management systems, and its ability to reduce fraud and improve operational efficiency. The revenue potential is substantial, as pharmacies can generate revenue through subscription fees, licensing agreements, and value-added services. The business model can be structured as a software-as-a-service (SaaS) offering, providing recurring revenue streams and scalability. The strategic positioning of Pharmacy Authentication Methods and Systems is strong, as it addresses a critical need in the pharmacy industry and aligns with the growing trend of using biometric data for authentication. ROI projections indicate a high return on investment, driven by reduced fraud losses, improved operational efficiency, and enhanced customer satisfaction. The system's potential to transform the pharmacy industry makes it an attractive investment opportunity for venture capitalists and strategic investors.","faqs":null,"topics":["pharmacy authentication","facial recognition","prescription security","biometric authentication","healthcare technology"],"tech_cluster":null},"seo":{"title":"Pharmacy Authentication - Patent US-9853972","description":"Secure pharmacy authentication using facial recognition. Reduce fraud & improve efficiency with the Pharmacy Authentication Methods and Systems patent.","keywords":["pharmacy authentication","facial recognition","prescription security","biometric authentication","healthcare technology","prescription fraud","patient safety","identity theft","pharmacy management","patent US-9853972"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9853972","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-9853972","citation_suggestion":"Patentable. \"Pharmacy authentication methods and systems\" (US-9853972). https://patentable.app/patents/US-9853972","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9853972","json":"https://patentable.app/api/llm-context/US-9853972","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T04:28:43.123Z"}