Abstract: One embodiment provides a method including receiving natural language speech from a user. The method includes automatically converting the natural language speech into a text format and executing a function corresponding to the function portion of the natural language speech. The method includes translating data returned by executing the function into natural language, wherein the translating includes modifying sensitive information within the data returned by (i) changing a selected audible output device and output volume to prevent the at least one unauthorized user from hearing the data returned and (ii) modifying the data returned. The method also includes outputting the natural language via an audible output device. Other aspects are described and claimed.

Abstract: One embodiment provides a system for automatically generating and ranking search results matching a healthcare request, the system including: instructions to: retrieve, from at least one of a consumer device or a first provider device, one or more requests, each request associated with a healthcare service and including at least one criterion associated with the service; perform at least one of: requesting one or more bids from one or more second provider devices or retrieving one or more stored bids from a database of bids, the one or more requested or retrieved bids matching the healthcare service of the one or more requests; using a recommendation engine and the at least one criterion, generate a ranking of the one or more requested or retrieved bids; generate a graphical user interface including the one or more requested or retrieved bids; and output the graphical user interface.

Abstract: Systems, methods, and media are provided for hands-free interaction with a database. Disclosed embodiments may receive speech from the user via a microphone. Disclosed embodiments may also automatically translate the speech into text wherein the text comprises at least one command. Further, disclosed embodiments may, based on the at least one command, execute a function associated with the at least one command, wherein the function comprises querying a database. And, disclosed embodiments may translate data returned by querying the database into natural language. Additionally, disclosed embodiments may output the translated data via at least one speaker.

Abstract: The present disclosure relates to systems and methods for determining one or more appropriate treatment facilities for patient placement. A machine learning system may perform operations. The operations may receive a patient data set including patient attributes and patient location metrics; access a plurality of data sets for a plurality of medical facilities, the plurality of data sets include facility capacity, location, and capability metrics for each of the plurality of medical facilities; apply a model to match the patient data set with at least one of the plurality of medical facility data sets based on at least one of the patient attributes and patient location metrics and at least one of the facility capacity, location, and capability metrics; determine, based on the application of the model, one or more likelihoods of acceptance associated with each match.