Abstract: Systems and methods are provided for managing medical adherence. An exemplary method may include managing medical adherence utilizing data aggregating and processing to determine impact on a user's health based on their behavior related to prescribed medication. The method may entail utilizing data related to a medication regimen and patient behavior to determine a patient's compliance to the regimen in terms of dosage and time. These values may be utilized to calculate a medical adherence value representing a patient's adherence to a prescribed regimen. Responsive to determining low medical adherence, a notification may be generated which may result in an intervention with the patient.

Abstract: A system includes a database and one or more computer devices. The database is configured to store database records associated with a group of users.

Abstract: A patient treatment management system involves a repository including treatment information for a particular patient identifying treatment objectives and an associated schedule for achievement of the objectives. An interface processor acquires data representing clinical information of a particular patient related to a particular treatment objective. A monitoring processor assesses from the acquired clinical information whether the particular treatment objective is achieved substantially by a scheduled time deadline. A task scheduling processor automatically initiates scheduling of a first sequence of tasks to be performed by a healthcare worker in response to a determination the treatment objective is achieved and initiates scheduling of a different second sequence of tasks to be performed by a healthcare worker in response to a determination the treatment objective is not achieved.

Abstract: Methods, business methods, and systems are provided herein for integrated healthcare. As the amount of medical information increases rapidly, including information from multiple biomarkers, analysis and management of that information becomes more and more important to extract meaningful conclusions from the information. Statistical and computational methods are described herein that have been created for the methods and systems for integrated healthcare. For example, a computer system is described extracts significance over time of PSA and fPSA biomarker tests for prostate health.

Abstract: An Internet-enabled rental vehicle reservation management method and system are disclosed. Via the system and method, authorized purchasers can select a rental vehicle service provider from a among a plurality of competitive rental vehicle service providers via at least one graphical user interface (GUI) menu, and the authorized purchasers can further interact with the system and method to (1) automatically book a rental vehicle reservation with a selected competitive rental vehicle service provider without human intervention on the part of personnel of the selected competitive rental vehicle service provider operating the computer system and (2) manage the booked rental vehicle reservation. In an exemplary embodiment, the reservations created and managed through the system and method are replacement rental vehicles and the authorized purchasers are insurance company personnel.

Abstract: An Internet-enabled rental vehicle reservation management method and system are disclosed. Via the system and method, authorization limits can be assigned to the users who create and manage replacement rental vehicle reservations through the system, where these authorization limits impose financial commitment monetary limits that the users can make on replacement rental vehicle reservations over a specified period of time. In an exemplary embodiment, these authorization limits are customized on a per user basis.

Abstract: A method of processing drug claims, by: (a) receiving a claim; (b) sorting the claim for processing by determining which processed drug list the claim belongs with; and then (c) processing the claim according to the particular processed drug list to which the claim belongs. A hierarchy of drug lists are used in a preferred order. If the drug is found on the first drug list, the system then moves directly to the processing stage. However, if the drug is not found on the first list, the system checks whether the drug is on the second drug list. If the drug is found on the second drug list, the system then moves directly to the processing stage, etc.