Abstract: Systems and methods are provided for classifying a patent safety event report into one or more of a plurality of clinically relevant output classes. A patient safety event report is received from a health information technology (HIT) system. A plurality of features representing the semantic content of a free-text narrative associated with the patient safety event report is extracted. The patent safety event report is classified into one or more of a plurality of clinically relevant output classes from at least the plurality of features at a machine learning model.

Abstract: Systems and methods for eye tracking include a video capture component that provides a video of an environment and a set of gaze tracking coordinates for the video. A library stores a plurality of feature sets representing respective areas of interest with respective object labels. An image annotation component extracts a plurality of features from a region of interest and matches the extracted features to an area of interest in the library to produce a selected area of interest and a confidence value. A verification component accepts the selected area of interest if the confidence value meets a threshold value and sends the region of interest to a human expert to assign an object label if the confidence value does not. The library is dynamically updated in response to input from the human expert to add new areas of interest and new object labels to the library.

Abstract: A system that can be used for targeted radiology resident training can include a memory storing computer-executable instructions and a processor to access the memory and execute the computer-executable instructions to at least receive a preliminary report and a corresponding final report; determine a difference between the final radiology report and the preliminary radiology report; classify the difference as substantive or stylistic based on a property of the difference; and produce an output including the difference when classified as substantive. The output can include one or more critical errors reflected in the substantive difference. The one or more critical errors can be used to facilitate radiology resident training.

Abstract: Systems and methods for eye tracking include a video capture component that provides a video of an environment and a set of gaze tracking coordinates for the video. A library stores a plurality of feature sets representing respective areas of interest with respective object labels. An image annotation component extracts a plurality of features from a region of interest and matches the extracted features to an area of interest in the library to produce a selected area of interest and a confidence value. A verification component accepts the selected area of interest if the confidence value meets a threshold value and sends the region of interest to a human expert to assign an object label if the confidence value does not. The library is dynamically updated in response to input from the human expert to add new areas of interest and new object labels to the library.