Covera Health, Inc.

Robert Allen Epstein

Daniel Robert Elgort

Ron Vianu

Richard J Herzog

Grant Langseth

Greg Dubbin

Irwin Keller

Elizabeth Sweeney

Murray Becker

Mattia Ciollaro

Andre Perunicic

John Peloquin

Tia Vittitoe

Walter Vittitoe

Scott Schwartz

Kumar Abhishek

A tamper evident package for secure delivery of a product is disclosed. The tamper evident packaging includes a plurality of sidewalls having a closure providing access to an interior compartment of the packaging. The closure includes a closure slide that urges a closure seal into cooperative engagement during movement of the closure slide. Cooperating ratchet teeth are provided in the closure slide and at a closed end of the closure to retain the closure slide in a locked position. The closure slide includes a land for carrying a unique identifier code. The unique identifier code is visible through a window in the closure when the closure slide is in the locked position. The tamper evident packaging may be used with a product delivery service where the unique identifier code is used to identify an order through a packing of the product through receipt of the product by the customer.

Tamper evident delivery packaging

In an embodiment, a computer-implemented process comprises accessing a plurality of digitally stored, unstructured medical diagnostic data; digitally displaying a first subset of the medical diagnostic data, the first subset of the medical diagnostic data including at least a first set of diagnostic reports, using a computer display device, concurrently with digitally displaying one or more quality control checklists that are specific to a medical discipline represented in the first set of diagnostic reports; receiving digital input specifying one or more errors in the first set of diagnostic reports and digitally storing the digital input in association with the first subset of medical diagnostic data; training a hierarchical Bayesian machine learning model using the digital input and the first subset of medical diagnostic data; evaluating the hierarchical Bayesian machine learning model, after training, for a second subset of the medical diagnostic data, the second subset being different from the first subset, to result in outputting one or more provider error rate data; applying a grading algorithm to the one or more provider error rate data to yield one or more output provider quality score values.

Computer-implemented detection and statistical analysis of errors by healthcare providers

Growing community of inventors

Henderson, NV, United States of America

Robert Allen Epstein