F. Hoffmann-La Roche had ten patents in cybersecurity during Q1 2024. The patents filed by F. Hoffmann-La Roche Ltd in Q1 2024 include a healthcare computer system for anonymizing and generating healthcare data packets, a handheld vision tester for vision self-testing with a touchscreen display and interface port for transmitting results to healthcare providers, and a system for tracking adverse events by recording patient experiences, searching for relevant records, and storing adverse event logs. GlobalData’s report on F. Hoffmann-La Roche gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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F. Hoffmann-La Roche grant share with cybersecurity as a theme is 50% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Medical laboratory computer system (Patent ID: US20240096456A1)
The patent filed by F. Hoffmann-La Roche Ltd. describes a healthcare computer system that receives healthcare data packets containing information about medical tests performed on samples. The system includes modules for generating strings based on sample identifiers and timestamps, applying one-way functions to anonymize sample identifiers, and generating anonymized healthcare data packets. The system ensures the privacy and security of patient data by anonymizing identifiers and transmitting data securely to a server for inclusion in an anonymized healthcare dataset.
Additionally, the patent includes claims for a method of generating anonymized healthcare data, involving steps such as receiving healthcare data packets, generating strings based on sample identifiers and timestamps, applying one-way functions to anonymize identifiers, and transmitting anonymized data packets to a server. The method also includes features like using random strings for anonymization, concatenating identifiers and timestamps, and applying cryptographic hash functions for anonymization. This method ensures the secure handling and transmission of sensitive healthcare data, particularly from in-vitro diagnostics laboratories, while maintaining patient privacy and data integrity.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
