Abstract: In an illustrative embodiment, a system for providing automation and virtual assistance to medical claims processing includes a predictive analytics platform configured to receive patient information for a medical claim from a claims processing system, cross-reference the patient information with stored data to identify a patient record, apply the patient information to machine learning classifier(s) to estimate a likelihood of match between the patient information and the patient record, provide patient record information to the claims system, receive claims data from the claims system, access, from a data universe, requirements corresponding to a payer corresponding to the medical claim, the requirements having been generated through training machine learning classifier(s) with claims data corresponding to claims denied by the payer, verify the claims data in view of the requirements, and provide an indication of missing claims information and/or invalid claims information to the claims system.

Abstract: Systems and methods for calculating medical claims payment estimates may receive a medical claim for a first patient including billing code(s) and demographic data, apply the demographic data to identify payer(s) for the first patient, access a data universe including patient data collection(s) of patient data records for a second group of patients, payer data collection(s) of data records for payers, and a financial history data collection including financial data record(s) for the first patient, identify, for each billing code, a payer payment pattern based on a combination of the patient data records and payer data record(s) corresponding to the payer for the first patient, identify a patient payment pattern based on the financial data record(s), and apply the payer payment pattern and the patient payment pattern to the medical claim for the first patient to calculate a payment estimation for the medical claim.

Abstract: In one embodiment, a first administrative entity having first members may initiate an operated shared workspace having a policy control engine. The first administrative entity may configure a first set of policies regarding workspace access, while a second administrative entity, having second members, may configure a second set of policies regarding workspace access. The policy control engine may then apply the first policies to the first and second members, and also may apply one or more policies of the second set of policies to the second members in response to the respective policies being stricter than corresponding policies of the first set of policies.

Abstract: A system and method for content-based search and retrieval of visual objects. A base visual information retrieval (VIR) engine utilizes a set of universal primitives to operate on the visual objects. An extensible VIR engine allows custom, modular primitives to be defined and registered. A custom primitive addresses domain specific problems and can utilize any image understanding technique. Object attributes can be extracted over the entire image or over only a portion of the object. A schema is defined as a specific collection of primitives. A specific schema implies a specific set of visual features to be processed and a corresponding feature vector to be used for content-based similarity scoring. A primitive registration interface registers custom primitives and facilitates storing of an analysis function and a comparison function to a schema table. A heterogeneous comparison allows objects analyzed by different schemas to be compared if at least one primitive is in common between the schemas.

Abstract: A system and method for content-based search and retrieval of visual objects. A base visual information retrieval (VIR) engine utilizes a set of universal primitives to operate on the visual objects. An extensible VIR engine allows custom, modular primitives to be defined and registered. A custom primitive addresses domain specific problems and can utilize any image understanding technique. Object attributes can be extracted over the entire image or over only a portion of the object. A schema is defined as a specific collection of primitives. A specific schema implies a specific set of visual features to be processed and a corresponding feature vector to be used for content-based similarity scoring. A primitive registration interface registers custom primitives and facilitates storing of an analysis function and a comparison function to a schema table. A heterogeneous comparison allows objects analyzed by different schemas to be compared if at least one primitive is in common between the schemas.

Abstract: A system and method for content-based search and retrieval of visual objects. A base visual information retrieval (VIR) engine utilizes a set of universal primitives to operate on the visual objects. An extensible VIR engine allows custom, modular primitives to be defined and registered. A custom primitive addresses domain specific problems and can utilize any image understanding technique. Object attributes can be extracted over the entire image or over only a portion of the object. A schema is defined as a specific collection of primitives. A specific schema implies a specific set of visual features to be processed and a corresponding feature vector to be used for content-based similarity scoring. A primitive registration interface registers custom primitives and facilitates storing of an analysis function and a comparison function to a schema table. A heterogeneous comparison allows objects analyzed by different schemas to be compared if at least one primitive is in common between the schemas.

Abstract: A system and method for content-based search and retrieval of visual objects. A base visual information retrieval (VIR) engine utilizes a set of universal primitives to operate on the visual objects. An extensible VIR engine allows custom, modular primitives to be defined and registered. A custom primitive addresses domain specific problems and can utilize any image understanding technique. Object attributes can be extracted over the entire image or over only a portion of the object. A schema is defined as a specific collection of primitives. A specific schema implies a specific set of visual features to be processed and a corresponding feature vector to be used for content-based similarity scoring. A primitive registration interface registers custom primitives and facilitates storing of an analysis function and a comparison function to a schema table. A heterogeneous comparison allows objects analyzed by different schemas to be compared if at least one primitive is in common between the schemas.

Abstract: A menu system incorporates a display surface having sets of buttons displayed thereon. Some sets of buttons are operative to initiate various functions and other sets of buttons are operative to define which functions, from a monolithic set of functions, are made selectable at a given time. Accordingly, the system provides a generic menu system which can easily handle hundreds of menu options in a way which is easy to learn and master.