Abstract: A pathway identification system includes processor and memory hardware. The memory hardware stores a pathway database including pathways corresponding to at least one pathway parameter, a framework database including a set of framework transformation models, and instructions. The instructions include, in response to receiving a first pathway parameter corresponding to a user, identifying a subset of pathways of the pathways corresponding to the first pathway parameter. The instructions include obtaining a first set of framework transformation models from the framework database, determining a pathway value for each pathway of the subset of pathways using the first set of framework transformation models, and selecting at least one pathway of the subset of pathways based on the corresponding pathway value. The instructions include transmitting information encoding the at least one pathway to the operator device and transforming a user interface of the operator device to display the at least one pathway.

Abstract: A computerized method of automatically processing a medical imaging record using a machine learning model includes training a machine learning model prediction engine with historical medical imaging records, receiving a first medical imaging record from a first system, applying a set of specified approval criteria to the first medical imaging record to determine a provisional outcome, and in response to the provisional outcome being negative, selectively identifying an exception to the provisional outcome in response to input received by a user interface. In response to the exception not being identified, the method includes inputting a feature vector based on the first medical imaging record to the machine learning model prediction engine to generate a likelihood estimate, comparing the generated likelihood estimate to a target threshold, and in response to the generated likelihood estimate being greater than the target threshold, transmitting a signal indicating approval to the first system.

Abstract: A pathway identification system includes processor and memory hardware. The memory hardware stores a pathway database including pathways corresponding to at least one pathway parameter, a framework database including a set of framework transformation models, and instructions. The instructions include, in response to receiving a first pathway parameter corresponding to a user, identifying a subset of pathways of the pathways corresponding to the first pathway parameter. The instructions include obtaining a first set of framework transformation models from the framework database, determining a pathway value for each pathway of the subset of pathways using the first set of framework transformation models, and selecting at least one pathway of the subset of pathways based on the corresponding pathway value. The instructions include transmitting information encoding the at least one pathway to the operator device and transforming a user interface of the operator device to display the at least one pathway.

Abstract: A lighting unit includes a power supply, a light source, a controller, and an output intensity adjustment mechanism. The adjustment mechanism is configured to allow a user to set an output intensity of a plurality of non-zero intensities generatable by the light source. The controller is operable to control a supply of electrical power from the power supply to the light source such that the light source illuminates in accordance with the intensity set by the user. The lighting unit is also operable to optionally report usage information for the lighting unit (e.g., cumulative on time) using the light source to produce a visually undetectable information signal. The controller is further optionally operable to adjust (e.g., increase) the electrical power supplied to the light source when the cumulative on time for the light source corresponds to a point on a lumen depreciation curve indicating a reduction in light source intensity.