Toronto, Canada

Leonardo Dias

USPTO Granted Patents = 1 

Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Leonardo Dias: Innovator in Patient Care Forecasting

Introduction

Leonardo Dias is a notable inventor based in Toronto, Canada. He has made significant contributions to the field of healthcare through his innovative patent. His work focuses on improving patient care by utilizing advanced techniques in machine learning.

Latest Patents

Leonardo Dias holds a patent titled "System and method for identifying complex patients, forecasting outcomes and planning for post discharge care." This patent describes techniques for identifying complex patients and forecasting patient outcomes based on various factors, including medical, socio-economic, mental, and behavioral aspects. The method employs machine learning models to predict patient outcomes such as length of stay, discharge trajectories, and readmission likelihood. These models are applied to patients currently admitted to hospitals, predicting their discharge destinations based on clinical and non-clinical data points. The method also provides discharge information to care providers, facilitating the management and coordination of inpatient and post-discharge care.

Career Highlights

Leonardo Dias is associated with Ge Precision Healthcare LLC, where he applies his expertise in healthcare innovation. His work has the potential to transform how healthcare providers manage complex patients, ultimately improving patient outcomes and care coordination.

Collaborations

Leonardo collaborates with talented individuals such as Bex George Thomas and Andrew Day. Their combined efforts contribute to the advancement of healthcare technologies and patient care solutions.

Conclusion

Leonardo Dias is a pioneering inventor whose work in patient care forecasting exemplifies the intersection of technology and healthcare. His innovative approaches are set to enhance the quality of care for complex patients, making a lasting impact in the field.

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