Glen Rock, NJ, United States of America

Oleg Ledeniov


Average Co-Inventor Count = 10.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Oleg Ledeniov: Innovator in Enhanced Enterprise Image Reading

Introduction

Oleg Ledeniov is a notable inventor based in Glen Rock, NJ (US). He has made significant contributions to the field of enterprise image reading, particularly through his innovative patent that enhances the way information is accessed and streamed.

Latest Patents

Ledeniov holds a patent titled "Enhanced enterprise image reading with search and direct streaming." This patent encompasses systems, apparatus, instructions, and methods for enterprise reading that facilitate the search and streaming of information from both local and remote sources. The apparatus includes a viewer that generates requests for patient content and displays a subset of that content according to a hanging protocol. Additionally, it features a search service that queries multiple sources for patient content based on a patient identifier, returning metadata to create tokens that encapsulate the location of identified patient content and access indications. The streaming service then utilizes these tokens to obtain and display the identified patient content.

Career Highlights

Oleg Ledeniov is currently associated with GE Precision Healthcare LLC, where he applies his expertise in developing advanced healthcare technologies. His work focuses on improving the efficiency and effectiveness of healthcare information systems.

Collaborations

Ledeniov collaborates with talented professionals in his field, including Vijay Arlagadda and Yik Chi Benjamin Cheung. Their combined efforts contribute to the advancement of innovative solutions in healthcare technology.

Conclusion

Oleg Ledeniov's contributions to enterprise image reading demonstrate his commitment to enhancing healthcare information systems. His innovative patent reflects a significant step forward in the accessibility and efficiency of patient content management.

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