Julie Ann Jensen

Title: Innovations by Julie Ann Jensen

Introduction

Julie Ann Jensen is an accomplished inventor based in Olathe, KS (US). She has made significant contributions to the field of machine learning, particularly in the healthcare sector. With a total of 2 patents, her work focuses on improving the efficiency and accuracy of health plan predictions.

Latest Patents

One of her 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. The model generates and displays a predicted set of valid combinations based on known identifiers and work location data associated with a patient.

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. It utilizes HIPAA transactions to train a model that intelligently links payers and health plans to specific employers. The model builds a mapping of employers, payers, and health plans, ensuring that the scan data is accurately mapped according to this information.

Career Highlights

Julie Ann Jensen is currently employed at Cerner Innovation, Inc., where she continues to develop innovative solutions in healthcare technology. Her work has been instrumental in enhancing the capabilities of machine learning applications in the industry.

Collaborations

Some of her notable coworkers include James L Poteet, III and Raymond Glen Delano, III. Their collaboration contributes to the innovative environment at Cerner Innovation, Inc.

Conclusion

Julie Ann Jensen's contributions to machine learning in healthcare demonstrate her commitment to innovation and improving health plan predictions. Her patents reflect her expertise and dedication to advancing technology in this critical field.