Portland, OR, United States of America

Jau-Huei Lin


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Jau-Huei Lin: Innovator in Clinical Terminology Mapping

Introduction

Jau-Huei Lin is a distinguished inventor based in Portland, Oregon, who has made significant contributions to the field of clinical terminology mapping through innovative technologies. With her pioneering work, she aims to improve the efficiency of healthcare communications by utilizing natural language processing.

Latest Patents

Jau-Huei Lin holds a patent titled "Clinical terminology mapping with natural language processing." This patent describes methods and systems designed to facilitate the mapping of clinical terminology by generating a word relationship graph for various mappings between different code sets. The innovation allows for the automatic mapping of codes from differing medical vocabularies, enhancing interoperability while minimizing processing time and the need for manual intervention.

Career Highlights

Currently, Jau-Huei Lin is associated with VVC Holding Corporation, where she continues to advance her research in clinical terminology and natural language processing. Her work focus has been instrumental in transforming how medical data is interpreted and utilized, fostering better communication within the healthcare sector.

Collaborations

Throughout her career, Jau-Huei Lin has collaborated with esteemed professionals such as Wei Huang and Eric Wu. These collaborations have helped propel her innovations forward and contribute to her success in the evolving field of healthcare technology.

Conclusion

Jau-Huei Lin exemplifies the spirit of innovation through her dedication to improving clinical terminology mapping. Her patent not only reflects her technical expertise but also serves as a testament to the impact of her work in enhancing healthcare communication. As the industry continues to evolve, her contributions will undeniably play a crucial role in shaping the future of medical data processing.

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