Cerner Innovation, Inc.

Venkata Nageswara Rao Desaraju

Sudarshan Babu Kotapati

Sneha Raveendran

Ranjeet Joseph Kumar Anthonappa

James L Poteet, Iii

Roma Kumari

Vidya N V

Mandar Vijay Kulkarni

Pogaku Shahazad

Sparsha Shetty

Methods, systems, and computer-readable media are disclosed herein combine randomization functionalities with the machine-learning prioritization of workflows for performance testing. In aspects, a primary workflow having a sequence of user interface steps is input. Testing workflows are generated that represent each variable position of unlocked steps in the sequence of the primary workflow while maintaining the sequential position of any locked steps. These testing workflows are then ingested to a machine learning model that identifies as subset of the testing workflows to prioritize over other. Specifically, testing workflows are prioritized that at least partially match sequence patterns in historical workflow data that is associated with vulnerable computer code. The subset is output and tested by testing engine to generate a report of any vulnerable computer code.

System and method for autonomous testing, machine-learning model-supervised prioritization, and randomized workflow generation

Systems and methods for providing a financial/clinical data interchange are provided. The financial/clinical data interchange provides a distributed implementation to a secure hash key (i.e., a token) and value pair data derived from a medical claim (e.g., patient identification, submitter identification, payer identification, encounter identification, and the like) and enriched with submitter-based domain data. The token may be used as a data attribute in an API that unlocks a pointer to the value (e.g., a fast healthcare interoperability resources (FHIR) uniform resource identifier (URI) to the patient encounter associated with the claim) to leverage a FHIR query for all documented medical records associated with the claim the payer is authorized by the submitter to view.

Providing a financial/clinical data interchange

Growing community of inventors

Bengaluru, India

Venkata Nageswara Rao Desaraju