Abstract: The present disclosure relates to leveraging machine learning algorithms to help guide users to effortlessly assign the correct protocol for an exam order using a standard protocol library and patient clinical information, and it further automates the scanner protocol selection creating a seamless workflow. This helps to reduce time for protocoling and ensures the right imaging exam is delivered for the patient in an efficient manner. In accordance with certain embodiments, a method includes receiving an order for a medical imaging procedure. The medical imaging procedure corresponds to a patient, in response to receding receiving the order, obtaining medical information stored in an information technology system. The medical information relates to the patient, and automatically generating a medical imaging protocol as a function of the obtained medical information.

Abstract: Systems and techniques that facilitate management of network settings of imaging protocols are provided. In an embodiment, a system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise an input component that receives network management input, and a network settings management component that manages network settings of one or more protocols of a protocol library associated with one or more imaging devices of an organization remotely via an imaging protocol manager based on the network management input.

Abstract: An architecture and techniques for providing a generalizable machine learning recommendation in connection with medical protocols such as radiology protocols. In response to receipt of a medical examination order request in a standardized input format, the system can, based on a machine learning technique, output a recommended protocol according to a standardized output format. The system can then perform a mapping procedure that maps site-specific data to the standardized input format and the standardized output format. The site-specific data can comprise information that is specific to an entity that provides the medical examination order request.

Abstract: The present disclosure relates to leveraging machine learning algorithms to help guide users to effortlessly assign the correct protocol for an exam order using a standard protocol library and patient clinical information, and it further automates the scanner protocol selection creating a seamless workflow. This helps to reduce time for protocoling and ensures the right imaging exam is delivered for the patient in an efficient manner. In accordance with certain embodiments, a method includes receiving an order for a medical imaging procedure. The medical imaging procedure corresponds to a patient, in response to receding receiving the order, obtaining medical information stored in an information technology system. The medical information relates to the patient, and automatically generating a medical imaging protocol as a function of the obtained medical information.