San Mateo, CA, United States of America

Michael Grossman


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Michael Grossman: Innovator in Clinical Data Management Systems

Introduction

Michael Grossman is a notable inventor based in San Mateo, CA (US). He has made significant contributions to the field of clinical data management through his innovative patent. His work focuses on improving the efficiency and accuracy of clinical data processing, which is crucial for clinical research and trials.

Latest Patents

Michael Grossman holds a patent for a Clinical Data Management System. This system features databases and processors in servers that are programmed to process clinical data and communicate with user interfaces and external systems interfaces. The system is designed to import source data from various clinical site sources into staging databases at specified refresh intervals. It maintains data models and maps data from the staging databases into these models, ultimately delivering updated data for clinical site performance, quality, and risk metrics to a clinical study team. The data mapper servers play a critical role by identifying each source data stage and transforming data according to defined mapsets.

Career Highlights

Throughout his career, Michael has been associated with Icon Clinical Research Limited, where he has applied his expertise in clinical data management. His innovative approach has led to advancements in how clinical data is handled, ensuring that clinical studies are supported by accurate and timely information.

Collaborations

Michael has worked alongside talented professionals such as Colin Thomas Burns and Gareth Allan Milborrow. Their collaborative efforts have contributed to the success of various projects within the clinical research domain.

Conclusion

Michael Grossman is a key figure in the development of clinical data management systems, with a patent that enhances the efficiency of clinical data processing. His contributions are vital for the advancement of clinical research, ensuring that data is managed effectively for better outcomes.

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