Beijing, China

Weijia Shen


Average Co-Inventor Count = 5.6

ph-index = 2

Forward Citations = 7(Granted Patents)


Company Filing History:


Years Active: 2018-2021

where 'Filed Patents' based on already Granted Patents

3 patents (USPTO):

Title: Weijia Shen: Innovator in Medical Data Processing

Introduction

Weijia Shen is a prominent inventor based in Beijing, China. He has made significant contributions to the field of medical data processing, holding three patents that enhance the efficiency of handling medical information. His work is particularly relevant in today's data-driven healthcare environment.

Latest Patents

Weijia Shen's latest patents focus on methods and apparatuses for processing medical data. One of his notable inventions is a computer-implemented method for processing a plurality of medical indication conditions. This method involves obtaining predetermined indication conditions related to various parameters and forming conditional segments based on their respective values. Each segment corresponds to different value ranges of the parameters, which include measurement items, reference standards, time periods, measurement conditions, and measurement manners. This innovative approach improves the processing efficiency of patient data by reducing the chances of inefficiency caused by multiple data acquisitions and analyses.

Career Highlights

Weijia Shen is currently employed at International Business Machines Corporation (IBM), where he continues to develop cutting-edge technologies in medical data processing. His work has garnered attention for its potential to streamline healthcare data management and improve patient outcomes.

Collaborations

Some of Weijia Shen's coworkers include Jing Mei and Wen Sun, who contribute to the collaborative environment that fosters innovation at IBM.

Conclusion

Weijia Shen's contributions to medical data processing exemplify the impact of innovative thinking in healthcare technology. His patents not only enhance data efficiency but also pave the way for improved patient care.

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