Abstract: An example method includes receiving an update message regarding a first exam record; updating the first exam record based on the message; matching one or more additional exam records to the first exam record based on one or more predefined exam attributes; selecting one of the exam first record and the one or more additional exam records as an eligible exam record; hiding display of the one or more exam records not selected as the eligible exam record; displaying the eligible exam record; receiving an additional update message for the first exam record; evaluating the additional update message to determine applicability of the update message to the matching one or more additional exam records; and selecting one or more of the first exam record and the matching one or more additional exam records as one or more eligible exam records based on evaluating the additional update message.

Abstract: An example operation metrics collection and processing system is to mine a data set including patient and exam workflow data from information source(s) according to an operational metric for a workflow of interest. The method includes mining a data set for information related to one or more healthcare operational metrics; displaying information regarding one or more scheduled procedures and associated equipment involving one or more selected patients; accepting an input of one or more conditions to affect interpretation of the information; determining a completion time for an event associated with one of the one or more scheduled procedures; evaluating a delay associated with the event with respect to the input of one or more conditions; calculating at least one healthcare operational metric based on the completion time, the delay, and the input; and outputting the at least one healthcare operational metric for display and analysis.

Abstract: An example operation metrics collection and processing system is to mine a data set including patient and exam workflow data from information source(s) according to an operational metric for a workflow of interest; identify one or more states involved in the workflow; determine a wait time for each of the state(s); apply one or more applicable deductions to the wait time for each of the state(s) based on one or more workflow-specific events to generate an adjusted wait time for each of the state(s) in the workflow of interest; aggregate the adjusted wait time for each of the state(s) to generate a normalized wait time for the workflow of interest; group normalized wait times for the workflow of interest according to one or more thresholds; and output a representation of the normalized wait times to the user interface based on the grouping and the one or more thresholds.

Abstract: A system and method to identify a patient for imaging and information systems in a health care enterprise. A health care enterprise has a facility which includes typically equipment and the user. The system comprises the means for assigning a patient identifier-domain (PIDD) to a patient registration service in the health care enterprise. A means for assigning a default patient-identifier-domain (Default PIDD) to each facility, equipment and user. A means for assigning a patient-identifier (PID) to the patient. A means for assigning a global patient-identifier-domain identification (PIDD-ID) to each PIDD. A means for associating each PIDD with the PIDD-ID. And a means for associating the PID with the PIDD to create a unique patient identifier.