Raymond Glen Delano, Iii

Title: Innovations of Raymond Glen Delano, III

Introduction

Raymond Glen Delano, III is an accomplished inventor based in Kansas City, MO. He has made significant contributions to the field of machine learning, particularly in the healthcare sector. With a total of 3 patents, his work focuses on improving the efficiency and accuracy of health plan predictions.

Latest Patents

One of his latest patents is titled "Machine learning model for predicting health plans based on missing input data." This invention provides methods, computer systems, and computer storage media that utilize machine learning to predict health plans. The model is trained to predict valid combinations of employer-payer-health plans in response to missing identifiers based on transaction data from electronic data interchange (EDI) insurance transactions. It generates and displays a predicted set of valid combinations on a user interface, enhancing the decision-making process for healthcare providers.

Another notable patent is "Intelligently linking payer/health plan combinations to specific employers." This invention also employs machine learning to verify payers and/or health plans. By utilizing HIPAA transactions, the model builds a mapping of employers, payers, and health plans, allowing for accurate verification of scan data. This innovation streamlines the process of linking health plans to specific employers, ultimately improving healthcare administration.

Career Highlights

Raymond is currently employed at Cerner Innovation, Inc., where he continues to develop innovative solutions in healthcare technology. His work has been instrumental in advancing the use of machine learning in the industry, making healthcare more efficient and accessible.

Collaborations

Raymond collaborates with talented individuals such as James L. Poteet, III, and Julie Ann Jensen. Their combined expertise contributes to the success of their projects and the advancement of healthcare technology.

Conclusion

Raymond Glen Delano, III is a notable inventor whose work in machine learning has the potential to transform healthcare. His innovative patents demonstrate a commitment to improving health plan predictions and linking payers to employers effectively. His contributions are paving the way for a more efficient healthcare system.