Invented by Mike Flanagan, Benny Delgado, Cheryl Wilson, Rohit Oberai, Preeti Singh, Richa Aggarwal, Amy Carney, Anilkumar Menon, Hammad Z. Muhammad, Satish B. Menon, United Parcel Service of America Inc
The United Parcel Service of America Inc invention works as follows
The patent describes “Systems and Methods for Supporting Regulatory Requirements for the Distribution of Controlled and Non-Controlled Items such as, For example, Medical Devices, controlled Substances, and non-controlled Prescriptions (Rx) in Countries such as United States and Canada. The systems and method incorporate a module for license verification that performs license validation on a specific order for a controlled or non-controlled item. In some embodiments, the module compares data from an order to previously sorted data, and if there are any discrepancies, validation fails. The license verification module can also query a third-party database to obtain updated license information if validation fails. The systems and method also incorporate a suspicious orders monitoring module which is configured to perform multiple checks on an order in order to identify it as an “order of interest”. The systems and methods also incorporate a suspicious order monitoring module that is configured to perform a plurality of checks on the order in order to identify it as an?order of interest?Background for Systems and Methods for Supporting Regulatory Requirements for the Distribution of Controlled and Non-Controlled Items
Field of Invention
The disclosed invention relates to various embodiments that support regulatory requirements in the distribution of controlled items and non-controlled products such as non-controlled prescriptions, medical devices and controlled substances, such as those found, for instance, in the United States, Canada and other countries.
Description of Related Art.
In the United States, distributors are required to register with the Drug Enforcement Administration. Controlled substances are drugs or chemicals whose use and possession is regulated by the Controlled Substances Act of the United States. Examples include prescription medications and narcotics. According to federal regulations, distributors registered with the government must verify licenses of customers and design and implement a system that identifies suspicious orders and reports them. Orders that are suspicious can include, but not be limited to, unusually large orders, orders that deviate substantially from the norm, unusually frequent orders, etc. If you fail to verify your licenses effectively and diligently reduce the number of suspicious orders, you may be fined or lose your privilege to ship these substances.
In the past, drug retailers have implemented a variety of stand-alone software applications to verify license information and/or identify suspect orders. In many cases, a threshold-based calculation will be used to determine suspicious orders. A customer might be assigned a threshold monthly for each controlled substance family. If the customer tries to place an online order above the threshold monthly, it is flagged suspicious. These approaches set a value for a number that is not automatically adjusted over time to reflect changes in customer behavior. These approaches also do not take into account other clients or customers of the same type that may place orders for controlled substances in the same family. These systems do not verify the license status when evaluating an order as suspicious. The license of a customer may not be valid or the predetermined threshold might not be accurate as seen across a larger sample of customers.
Therefore there is a need for an improved method and system for verifying license information and identifying suspicious order for a client in which the method and system automatically check license information and account for historic order data across a large sampling of clients and customers.
According to different embodiments of this invention, there is a system for identifying and verifying the customer license data that was received along with orders for controlled substances. The system includes one or multiple memory storage areas that store data related to parameters of a plurality customer regulatory licenses, and one or several computer processors. The one-or-more computer processors can be configured to perform the following tasks: “(A) receive an ordered for a regulated chemical from a client, where the order contains order data containing customer input data relating to one or several parameters associated with a plurality of regulatory licenses that are associated with the client; (B), retrieve at least a part of the data stored in the memory storage areas; [C] compare the customer input and the retrieved data to identify any discrepancies. (D)
According to different embodiments of the invention, a computer implemented method for license verification is provided in relation to orders of one of more regulated substances. The method can be embodied in various ways, including: (A), receiving and storing within one memory storage area, order data for an order placed by a client for a regulated chemical, where the order data comprises customer input data relating to the parameters of one of a plurality customer regulatory licenses. (B), retrieving at least a part of stored data from the memory storage areas.
According to different embodiments of the invention, an computer program product comprises at least one computer readable storage medium with computer readable program code portions embedded therein. The computer-readable code portions include a first executable part configured to receive data associated with the customer license that was received along with an order of regulated substances, a second executable part configured to compare the customer input data with at least a partial portion of the stored information in order identify one or multiple discrepancies, and a final executable section configured to generate one or several reports based on the comparison. The data that is associated with the license of a customer received by the first portion of the program code includes order data associated to an order placed by a client for a regulated chemical, where the order data comprises customer input data relating to the parameters of one of a plurality associated customer licenses; and stored information, which contains data pertaining to parameters of a plurality associated customer regulatory licenses. The third executable part is configured to: if no discrepancies are identified, generate a successful report of validation for the ordered, which approves further processing; if discrepancies are detected, generate an unsuccessful report of validation for the ordered, which prevents further processing.
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