Location History:
- New York, UA (2023)
- New York, NY (US) (1992 - 2024)
Company Filing History:
3 out of 12 
2 out of 47 
2 out of 511 
Years Active: 1992-2024
Title: The Innovations of David Feldman in Data-Driven Healthcare Solutions
Introduction
David Feldman, an accomplished inventor based in New York, NY, has made significant contributions to the field of healthcare technology with a total of seven patents to his name. His innovative work focuses on machine-learning technologies that aim to enhance data analysis and provide valuable healthcare recommendations.
Latest Patents
Feldman's latest patents include a sophisticated data processing system designed for machine-learning driven data analysis and healthcare recommendations. This system is capable of obtaining digital healthcare service provider information linked with multiple healthcare providers and querying user parameters to deliver targeted healthcare services to employees. By employing a machine learning model, the system categorizes user queries and predicts suitable healthcare providers that may interest the user. Additionally, another patent revolves around analyzing insurance claim information and user demographics to facilitate reminders and recommendations for digital healthcare services that users may benefit from based on their specific claims.
Career Highlights
David Feldman has worked with prominent companies in the healthcare industry, such as Nayya Health and Iolab Corporation. His role in these organizations has allowed him to focus on deploying advanced technologies for improving healthcare delivery and enhancing user experiences through data-driven solutions.
Collaborations
Throughout his career, Feldman has collaborated with colleagues like Aaron Rosenblatt and David H. Rosenblatt. These partnerships have contributed to the development of cutting-edge innovations that address pressing healthcare challenges through technology.
Conclusion
David Feldman's inventive efforts continue to pave the way for advancements in healthcare technology. His work in machine-learning driven data analysis showcases the immense potential of innovation in improving healthcare recommendations and service delivery. As he moves forward with his career, it is expected that his contributions will have a lasting impact on the healthcare industry.