Maryland Patent of the Month – September 2024
Welldoc’s latest innovation in digital therapeutics leverages advanced machine learning to personalize healthcare delivery, making it smarter, more efficient, and accessible to patients. This system identifies users who are most likely to benefit from the therapeutic based on a range of factors such as medication adherence, blood glucose levels, and engagement history. By analyzing these characteristics, the platform tailors treatments to individual needs and delivers them through user-friendly mobile interfaces.
The digital therapeutic program continuously adapts to each user’s behavior. For example, it monitors daily inputs like carbohydrate intake or weight and provides real-time feedback on treatment. The program also predicts engagement levels, ensuring that users who might need more encouragement to stay on track receive timely interventions. The goal is not only to provide immediate feedback but also to create a cycle of engagement that improves long-term health outcomes.
Welldoc’s machine learning model is a key driver of this innovation, identifying the right moments to prompt users and enhancing user experience by analyzing past interactions. This targeted approach optimizes treatment adherence and improves patient outcomes. By integrating clinical data with user behavior, the program ensures that medical recommendations are relevant and actionable.
Beyond its core functionality, the system generates detailed reports that help healthcare providers track patient progress and adjust treatment plans as needed. These reports also allow for population-level insights, enabling more effective disease management strategies. Welldoc’s digital therapeutic system is not just a tool for managing health—it’s a dynamic, evolving platform that adapts to each patient’s needs in real-time, empowering individuals to take control of their health while simplifying the process for healthcare providers.
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