Abstract: A wearable device, e.g., a smart watch, may be connected to a communication device, such as a mobile smart phone, via Bluetooth or other Near Field Communication (NFC). In particular, the wearable device may have a touch screen that may serve as an extended display and/or user input device of the communication device. For example, a user may receive payment related notifications on the wearable device. The user also may operate the wearable device to make and/or receive payments, view transaction history, view and/or accept offers from nearby merchants, view and/or check in to nearby stores and etc. Further, the wearable device also may allow the user to make payment transactions in extreme environments not suitable for the communication device, such as under water.

Abstract: A method and system for generating job costing data are provided. The method may include performing job costing in a healthcare environment by automatically retrieving information including a group of descriptive attributes from a data store. The group of descriptive attributes may form a patient encounter and the descriptive attributes may represent content electronically captured during patient care. The method may additionally include associating cost data from the data store with each descriptive attribute representative of the patient encounter retrieved from the data store and combining the descriptive attribute costs for the group of descriptive attributes to determine a patient encounter cost.

Abstract: A system and method for receiving medical or other database information and pregrouping and extending that data include a data enhancement layer configured to generate additional stored dimensions capturing the data and relevant attributes. Data sources such as hospitals, laboratories and others may therefore communicate their clinical data to a central warehousing facility which may assemble and extend the resulting aggregated data for data mining purposes. Varying source format and content may be conditioned and conformed to a consistent physical or logical structure. The source data may be extended and recombined into additional related dimensions, pre-associating meaningful attributes for faster querying and storage.

Abstract: The present invention is directed to a method and system for generating cost accounting data. The method may include retrieving information including descriptive attributes that represent content captured during patient care. The method may additionally include associating each descriptive attribute with a cost. A system may be provided for generating cost accounting information in a healthcare environment. The system may include automated information capture equipment and a retrieval component for retrieving content captured by the automated information capture equipment. The system may additionally include an association component for associating captured content with a cost and an implementation component for generating cost accounting information based on created associations.

Abstract: A system and method for receiving medical or other database information and pregrouping and extending that data include a data enhancement layer configured to generate additional stored dimensions capturing the data and relevant attributes. Data sources such as hospitals, laboratories and others may therefore communicate their clinical data to a central warehousing facility which may assemble and extend the resulting aggregated data for data mining purposes. Varying source format and content may be conditioned and conformed to a consistent physical or logical structure. The source data may be extended and recombined into additional related dimensions, pre-associating meaningful attributes for faster querying and storage. Users running analytics against the resulting medical or other datamarts may therefore access a richer set of related information as well as have their queries and other operations run more efficiently.

Abstract: A system and method for a management interface for clinical environments presents aggregated clinical, financial, operational and other data to administrators and other users. Clinical or department lines and other groupings may be presented in graphical representations of patient outcomes, costs, drug and other therapies and other indicators. Outcomes and other benchmarks may be selectively compared against historical trends or known medical benchmarks, and in embodiments scenario modeling based on alternative therapies, procedures or other variables may be presented. The clinical and other source data from which the graphical interfaces may be presented may be generated via data warehouse platforms including grouping engines which process originally captured data into extended, pre-grouped or pre-related dimensions.