Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for a healthcare similarity engine that uses healthcare data to identify a set of similar patients. One aspect of the subject matter described in this specification can be embodied in methods that include the actions of receiving a similarity request including a patient X data vector representing attributes of a particular patient X and a set of similarity parameters; calculating a set of similarity metrics using the patient X data vector and the set of similarity parameters; ranking the population of patients based on their respective similarity metrics; and generating a neighborhood subset of the population of patients most similar to patient X by selecting the top-ranked patients. Another aspect of the subject matter can be embodied in methods that include the actions of providing a display of a graphical representation of a healthcare similarity request input dashboard.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for a healthcare similarity engine that uses healthcare data to identify a set of similar patients. One aspect of the subject matter described in this specification can be embodied in methods that include the actions of receiving a similarity request including a patient X data vector representing attributes of a particular patient X and a set of similarity parameters; calculating a set of similarity metrics using the patient X data vector and the set of similarity parameters; ranking the population of patients based on their respective similarity metrics; and generating a neighborhood subset of the population of patients most similar to patient X by selecting the top-ranked patients. Another aspect of the subject matter can be embodied in methods that include the actions of providing a display of a graphical representation of a healthcare similarity request input dashboard.

Abstract: An upright vacuum cleaner includes a body. A dirt collection vessel and a suction generator are carried on the body. A cleaning wand is releasably held in a home position on the body. A supplemental cleaning tool is attached to the distal end of the cleaning wand when the cleaning wand is in the home position. The upright vacuum cleaner includes a first auxiliary operating mode wherein the cleaning wand and supplemental cleaning tool are removed together from the home position for use in a cleaning application and a second auxiliary operating mode wherein a cleaning wand is removed from the home position for use in the cleaning application and the supplemental cleaning tool is retained in the home position. Either auxiliary operating mode may be adopted without handling the supplemental cleaning tool.

Abstract: A vacuum cleaner includes a body having a nozzle assembly and a handle assembly. A suction generator and a dirt collection vessel are carried on the body. The vacuum cleaner also includes a cleaning wand, a supplemental cleaning tool connected to the first end of the cleaning wand and hose connected to a second end of the cleaning wand. Further the vacuum cleaner includes an airstream path passing serially through the nozzle assembly, the supplemental cleaning tool and the cleaning wand.

Abstract: An upright vacuum cleaner includes a body having a nozzle assembly, a handle assembly, a cleaning wand and a connection mechanism between the nozzle assembly and the canister assembly. That connection mechanism may be a pivot or a swivel. A suction generator and a dirt collection vessel are carried on the body. Further, the upright vacuum cleaner includes a supplemental cleaning tool and a swivel connection between a first end of the cleaning wand and the supplemental cleaning tool.

Abstract: An upright vacuum cleaner includes a body. A dirt collection vessel and a suction generator are carried on the body. A cleaning wand is releasably held in a home position on the body. A supplemental cleaning tool is attached to the distal end of the cleaning wand when the cleaning wand is in the home position. The upright vacuum cleaner includes a first auxiliary operating mode wherein the cleaning wand and supplemental cleaning tool are removed together from the home position for use in a cleaning application and a second auxiliary operating mode wherein a cleaning wand is removed from the home position for use in the cleaning application and the supplemental cleaning tool is retained in the home position. Either auxiliary operating mode may be adopted without handling the supplemental cleaning tool.

Abstract: An upright vacuum cleaner includes a body having a nozzle assembly and a canister assembly. A suction generator and a dirt collection vessel are both carried on the body. Two wheels support the vacuum cleaner on a surface to be cleaned. Those wheels are connected to the nozzle assembly by an axle. A swivel connecting the nozzle assembly and the handle assembly is secured to the nozzle assembly by that axle.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for a healthcare similarity engine that uses healthcare data to identify a set of similar patients. One aspect of the subject matter described in this specification can be embodied in methods that include the actions of receiving a similarity request including a patient X data vector representing attributes of a particular patient X and a set of similarity parameters; calculating a set of similarity metrics using the patient X data vector and the set of similarity parameters; ranking the population of patients based on their respective similarity metrics; and generating a neighborhood subset of the population of patients most similar to patient X by selecting the top-ranked patients. Another aspect of the subject matter can be embodied in methods that include the actions of providing a display of a graphical representation of a healthcare similarity request input dashboard.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for a healthcare similarity engine that uses healthcare data to identify a set of similar patients. One aspect of the subject matter described in this specification can be embodied in methods that include the actions of receiving a similarity request including a patient X data vector representing attributes of a particular patient X and a set of similarity parameters; calculating a set of similarity metrics using the patient X data vector and the set of similarity parameters; ranking the population of patients based on their respective similarity metrics; and generating a neighborhood subset of the population of patients most similar to patient X by selecting the top-ranked patients. Another aspect of the subject matter can be embodied in methods that include the actions of providing a display of a graphical representation of a healthcare similarity request input dashboard.

Abstract: Methods, systems, and apparatuses are disclosed for identifying healthcare claim fraud. In some embodiments, the methods may include defining links characterizing an interaction between a healthcare consumer and a healthcare provider. In some embodiments, the methods may further include generating, with a processing device, an archive of the links. Additionally, in some embodiments, the methods may include analyzing the archive to identify potential healthcare fraud. In some embodiments, analyzing the archive may include defining one or more patterns indicative of fraud and searching for the one or more patterns indicative of fraud within the archive.

Abstract: System and methods for detecting healthcare claim fraud and abuse are provided. In one embodiment, the system includes a combination of supervised method and a unsupervised method as well as with a responsiveness analysis.

Abstract: A method for using transaction records to detect fraud, including receiving a plurality of identity records comprising identity related information; receiving a plurality of transaction records comprising transaction information from a plurality of client institutions; linking the plurality of identity records with each other based on the identity related information; linking the plurality of transaction records with the identity records, wherein a link between a transaction record and an identity record is created when a characteristic of the transaction information of the transaction record is similar to a characteristic of the identity related information of the identity record, the links forming a graphical pattern; and performing statistical analysis of the graphical pattern to detect fraud, wherein the statistical analysis comprises analyzing the graphical pattern to determine whether the graphical pattern is anomalous when considered in relation to a normal graphical pattern.

Abstract: A method for identifying a fraudulent account application includes receiving a new account application comprising a plurality of identity-related fields and linking the identity-related fields associated with the new account application with identity-related fields associated with a plurality of historical account applications. The links form a graphical pattern on which statistical analysis can be performed to determine the likelihood that the new account application is fraudulent. The statistical analysis can comprise comparing the graphical pattern to a known, or normal graphical pattern in order to detect differences, or anomalies occurring in the graphical pattern associated with the new account application.