Abstract: A system for automatic categorization and assessment of billing narratives has a semantic engine that classifies billing entries with descriptions expressed in natural language into standardized categories of activity and task objective. The classification is by machine learning methods via training data that is maintained, updated and extended as needed. A rules engine applies rules to the categorized invoice data to analyze the data, report violations to a user/consumer of billed services and to perform related calculations.

Abstract: An epicardial pacer wire management device can include a spool defining a recessed region that encompasses the spool. The recessed region can receive a portion of a pacer wire. The device can further include a connector attached to the spool, and the connector can be electrically coupled with an exposed tip of the pacer wire. The device can further include an electrical port attached to the spool that can communicate with a pacing control unit. The device may include an electrical communication line electrically coupled between the connector and the electrical port.

Abstract: A system for automatic categorization and assessment of billing narratives has a semantic engine that classifies billing entries with descriptions expressed in natural language into standardized categories of activity and task objective. The classification is by machine learning methods via training data that is maintained, updated and extended as needed. A rules engine applies rules to the categorized invoice data to analyze the data, report violations to a user/consumer of billed services and to perform related calculations.

Abstract: An epicardial pacer wire management device can include a spool defining a recessed region that encompasses the spool. The recessed region can receive a portion of a pacer wire. The device can further include a connector attached to the spool, and the connector can be electrically coupled with an exposed tip of the pacer wire. The device can further include an electrical port attached to the spool that can communicate with a pacing control unit. The device may include an electrical communication line electrically coupled between the connector and the electrical port.

Abstract: A system for automatic categorization and assessment of billing narratives has a semantic engine that classifies billing entries with descriptions expressed in natural language into standardized categories of activity and task objective. The classification is by machine learning methods via training data that is maintained, updated and extended as needed. A rules engine applies rules to the categorized invoice data to analyze the data, report violations to a user/consumer of billed services and to perform related calculations.

Abstract: An epicardial pacer wire management device can include a spool defining a recessed region that encompasses the spool. The recessed region can receive a portion of a pacer wire. The device can further include a connector attached to the spool, and the connector can be electrically coupled with an exposed tip of the pacer wire. The device can further include an electrical port attached to the spool that can communicate with a pacing control unit. The device may include an electrical communication line electrically coupled between the connector and the electrical port.

Abstract: An epicardial pacer wire management device can include a spool defining a recessed region that encompasses the spool. The recessed region can receive a portion of a pacer wire. The device can further include a connector attached to the spool, and the connector can be electrically coupled with an exposed tip of the pacer wire. The device can further include an electrical port attached to the spool that can communicate with a pacing control unit. The device may include an electrical communication line electrically coupled between the connector and the electrical port.

Abstract: A system for automatic categorization and assessment of billing narratives has a semantic engine that classifies billing entries with descriptions expressed in natural language into standardized categories of activity and task objective. The classification is by machine learning methods via training data that is maintained, updated and extended as needed. A rules engine applies rules to the categorized invoice data to analyze the data, report violations to a user/consumer of billed services and to perform related calculations.