In the field
What these inventions look like once they are running
A claim is abstract until somebody deploys it against a real EHR interface, a real device feed, a real authorization queue, or a real trial site. These entries describe that step.
Product teams use these to judge fit: what the environment looked like, what had to integrate, what broke, and what changed once it ran. The failures are included, because a use case that only reports wins is marketing.
If one of these matches a system already on your roadmap, we can license the underlying rights, build alongside the team, or hand over what we already learned.
5 records. Showing 1 to 5.
E-learning platforms can utilize real-time streaming of contextual content in accordance with the learning requirements of each learner based on their performance preferences and learning pace.
Real-time digital streaming of contextual micro-content blocks will advance AI chatbot functionalities, enabling next-gen systems to customize learning experiences through advanced AI and machine learning. These chatbots will continuously adapt, refining content based on user interactions and feedback to deliver increasingly personalized support and guidance.
Over a decade of innovation in precision learning and education has led to a significant surge in patent activity, with filings growing from 85 in 2014 to 1145 in 2023, marking a clear trend towards increased innovation and investment in this sector. Driven by a surge in demand for remote learning solutions during the COVID-19 pandemic, the precision learning sector has witnessed an unprecedented focus on developing and commercializing e-learning platforms recently, which is visible in patenting trends as well.
Online learning has emerged as a fundamental component of contemporary education, reshaping traditional pedagogical methods.
Electronic Medical Records (EMR) systems are used for efficient and effective patient care management. However, with the increasing reliance on these digital systems comes a significant challenge: ensuring the security and integrity of sensitive medical data.