Google Inc.

Other

International Business Machines Corporation

Uma Mahadevan

Shivakumar Venkataraman

Adam Isaac Juda

Giao Nguyen

Roberto J Bayardo, Jr

Shanmugasundaram Ravikumar

Keith Jonathan Coleman

Niniane Wang

Dandapani Sivakumar

Roberto Javier Bayardo

Alexander Paul Carobus

Jared Jacobs

Jacob Samuels Burnim

Gnani Palanikumar

A method for automated medical billing includes retrieving details of one or more encounters between a patient and a medical provider from a hospital software. A user input is obtained via a user interface on a medical provider computing device, wherein the user interface enables the medical provider to initiate automated billing of the patient after each encounter. Thereafter, a geo-location of the medical provider, a micro-location of the patient in hospital, a time associated with an encounter, and an identity of the patient and the medical provider are automatically sensed, and a bed number of the patient, a current time, a geo-location, an identification number of the medical provider, and a charge associated with the encounter is sent to the billing server. Finally, a claim form is automatically filled by the billing server, based on the received information; and the filled claim form is transmitted to a payment entity.

System and method to simplify medical billing for hospitalists

Display screen with a graphical user interface

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting controlling keywords. In one aspect, a method includes determining that two or more targeting keywords for a same content item source are matched by one or more terms in a content item request, where a first targeting keyword matches the one or more terms with a more specific type of match than the second targeting keyword. If the bid associated with the second targeting keyword does not exceed the bid associated with the first targeting keyword, the first targeting keyword and the second targeting keyword are ranked based on selection scores. The targeting keywords are ranked based at least in part on the quality scores when the bid associated with the second targeting keyword does exceed the bid associated with the first targeting keyword.

Tie breaking rules for content item matching

A method of serving an electronic document in response to a client request includes identifying an electronic document requested by a client. At least one information entity matching at least one predetermined information entity type is extracted from the electronic document. One or more links are then generated for each extracted information entity and are served to the requesting client in connection with other information corresponding to the at least one information entity and the electronic document. In some embodiments the electronic document is an email message, SMS message, transcribed voice message, or a combination of such messages. In some embodiments the extracted information entity is a physical address, an email address, a phone number, an object identification number, a product name, a company name, a stock symbol, a movie title, a book title, a calendar entry, an individual's name, a city name, a URL, or event information.

System and method for targeting information based on message content

A method of selecting information items in connection with an electronic message includes selecting a plurality of information items satisfying a predefined popularity condition and identifying any one from the selected information items whose associated keyword is found in the electronic message. A set of candidate items are selected periodically based on their respective popularity metrics. The popularity metric of an information item may be its click-through rate during a predefined time period. Each candidate information item has one or more keywords and the number of the keywords found in the electronic message determines the item's relevancy to a user accessing the message. In some embodiments, the method selects a subset of the information items using user geographical information associated with a user accessing the electronic message from a client and at least one of the selected information items is set to target users at a location corresponding to the user geographical information.

System and method for targeting information items based on popularities of the information items

This disclosure provides a method of and service for searching for locations (e.g., web sites) on a network (e.g., the internet). The method begins by inputting a query from a user and searching the internet based on the query to produce search results (comprising web sites) in an order of relevance, where more relevant results are ordered ahead of less relevant results. However, rather than directly reporting the search results to the user as conventional search methodologies do, the invention reorganizes the search results into storylines. More specifically, the invention identifies focused vocabularies from the search results, where each focused vocabulary forms a separate storyline. In addition, the invention maximizes the number of search results that are included in each storyline, minimizes the number of search results that are included in multiple storylines; and also minimizes the number of storylines. Then the invention reports the storylines to the user.

Computer system for identifying storylines that emerge from highly ranked web search results

Growing community of inventors

Cupertino, CA, United States of America

Uma Mahadevan