Wauwatosa, WI, United States of America

Vamsee Krishna Rangavajhala

This inventor holds 2 USPTO granted patents. Top assignees: Ge Precision Healthcare LLC, The General Hospital Corporation, The Brigham and Women's Hospital, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Vamsee Krishna Rangavajhala. Retrieved from https://idiyas.com/inventor/vamsee-krishna-rangavajhala

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 5.5

ph-index = 1


Company Filing History:


Years Active: 2026

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2 patents (USPTO):Explore Patents

Title: Vamsee Krishna Rangavajhala: Patents in Healthcare Analytics

Introduction

Vamsee Krishna Rangavajhala is an inventor based in Wauwatosa, Wisconsin. His work includes patent inventions related to healthcare analytics and machine learning. He holds 2 patents.

Latest Patents

Rangavajhala’s listed patents include “Workflow Predictive Analytics Engine” and “Automated Training of Machine Learning Classification for Patient Missed Care Opportunities or Late Arrivals.” These titles point to applications of predictive analytics and machine learning in identifying care opportunities and late arrivals.

Career Highlights

Rangavajhala has worked with GE Precision Healthcare LLC and The General Hospital Corporation. His patent work reflects an interest in applying data-driven methods to healthcare workflows.

Collaborations

His listed coworkers include Oleg Pianykh and Ezra Nathaniel Ojeda Rodriguez. Their shared professional context connects their work to healthcare and related technical fields.

Conclusion

Vamsee Krishna Rangavajhala’s two patents and healthcare-related career highlight his contributions to predictive analytics and machine learning applications in healthcare.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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