Company Filing History:
Years Active: 2011-2015
Title: Anthony Ricamato: Innovator in Clinical Data Display and Predictive Notification Systems
Introduction
Anthony Ricamato is a notable inventor based in West Chicago, IL (US). He has made significant contributions to the field of clinical data display and predictive notification systems. With a total of 2 patents to his name, Ricamato's work has the potential to enhance the way clinical information is presented and utilized in medical settings.
Latest Patents
Ricamato's latest patents include a "Method and apparatus for dynamic multiresolution clinical data display." This innovative system graphically represents clinical information for users, featuring a user interface that provides clinical content and accepts user input. The system includes a graphical summary representation of patient-related clinical data values, with visible characteristics indicating their importance. Additionally, it offers a thumbnail trend view that graphs data elements used to provide the patient-related clinical data value. Another significant patent is for "Systems and methods for a predictive notification engine." This invention provides a notification engine that receives a sequence of data values from a medical device, determines predictions based on these values, and generates notifications accordingly.
Career Highlights
Ricamato is currently employed at General Electric Company, where he continues to innovate and develop new technologies. His work focuses on improving clinical data management and enhancing patient care through advanced notification systems.
Collaborations
Throughout his career, Ricamato has collaborated with talented individuals such as Eric Jester and Steven Eric Linthicum. These partnerships have contributed to the successful development of his patented technologies.
Conclusion
Anthony Ricamato is a distinguished inventor whose work in clinical data display and predictive notification systems is paving the way for advancements in medical technology. His contributions are vital for improving the efficiency and effectiveness of clinical information management.