Cerner Innovation, Inc.

Pratik Nath

Jaipal Reddy

Srinidhi Kumble

Venkata Rama Raju Nadimpalli

Amit Kumar

Darshan Matada Shashidhara

Uttam Ramamurthy

Amarrtya Jana

Shiv Shankar

Mohit Goel

Veerapu Nagarjun

Chaithrika Rao

Ravi Shankar Singh

Manish Tahiliani

Shirshandu Bhattacharjee

Ankur Chatter

Kishore Kumar Naik Pujari

Methods, systems, and computer storage media are provided for utilizing health resources and enhancing healthcare coverage based on patient locations. A health resource navigation system is structured to generate an area roster based on one or more geo-fenced areas, determine a user device location as the user device navigates to a geo-fenced area corresponding to an indication of area selection, generate a patient roster based on the geo-fenced area, determine the user device location as the user device navigates to a patient location corresponding to an indication of patient selection, receive an indication of arrival at the patient location, receive patient information at the patient location, the patient information corresponding to a patient associated with the indication of the patient selection, and generate one or more patient recommendations based on one or more secondary patient locations and one or more stay durations responsive to the received patient information.

Methods and systems to optimize the utilization of health worker and enhance healthcare coverage for population to deliver critical/in-need healthcare services

Methods, systems, and computer-readable media are disclosed herein that utilizes historical changes made to files and methods in computer programming code to predict related files and methods that may be affected by current and/or future changes made to other files and methods. In aspects, when computer code for a particular method is going to be edited, other methods are identified that were changed in previous editing sessions that also included changes to the particular method. Using scoring techniques for the other methods, a recommendation is provided that details the relative strength of whether the other methods are predicted to be affected by any changes made to the computer code for the particular method that is edited.

System and method for predicting the impact of source code modification based on historical source code modifications

The technology disclosed relates to generating automated test plan scripts. Repository data associated with a test plan script is received. Source code and test plan solution data corresponding to the repository data are analyzed. For example, the repository data may be analyzed using natural language processing and static code analysis. In some embodiments, test steps of the test plan are performed to generate repository data. A suggestion of a reusable component for a particular test step or test validation is provided for one or more of the test steps. A selection of the suggestion of the reusable component for at least one of the test steps is received. An automated test plan script corresponding to the selection is generated.

Auto test generator

Methods, systems, and computer-readable media are disclosed herein that provide a comprehensive view that reveals all or nearly all possible method dependencies that are present in client workflows. In aspects, when computer code for a particular method is going to be edited, other methods are identified that have upstream or downstream dependencies relative to the particular method. The methods that will be affected based on the computer code editing can be presented in a user-interactive graphical user interface that facilitates exploration of upstream and downstream dependencies.

System and method for identifying source code defect introduction during source code modification

The technology disclosed relates to generating automated test plan scripts. A selection of a first test plan to automate is received. Test scripts and data from a repository are retrieved and the test scripts and the data correspond to the first test plan. Test steps of the first test plan are performed. A prediction of a reusable component for a particular test step or test validation is provided for each of the test steps. A selection of at least one prediction for at least one of the test steps is received. An automated test plan script corresponding to the selection of the at least one prediction is generated.

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Bengaluru, India

Pratik Nath