Abstract: Systems and methods for visually displaying instances of increased susceptibility for commission of medical errors are provided. Execution of programming instructions on a computer-readable medium causes a processor to retrieve historical workload data corresponding to environmental conditions experienced by and near misses associated with an individual or team of individuals during a first period of time from one or more data repositories. Retrieved workload data is processed to establish threshold limits for distinct working conditions represented within the workload data for the individual or team of individuals. Workload data corresponding to a second period of time is retrieved for the individual or team of individuals and compared to established threshold limits by the processor. Based on the comparison, the processor generates one or more displayable indicia indicative of the individual's or team of individuals' risk of committing a medical error due to an experienced workload.

Abstract: A computer-based platform is provided for integrating data from multiple systems including (but not limited to) point of sale (POS) terminals, video systems, electronic article surveillance (EAS) systems, automatic teller machines (ATMs), gas pumps, alarm systems, radio frequency identification (RFID) detection systems, etc. The subject computer-based platform is configured to gather and correlate data (e.g., transactional data and/or video data), package such data into multiple discrete system “events”, and to provide various features for proactively identifying selected events as “exceptions”. Additional aspects of the computer-based platform may be utilized to provide signaled identification to a user of identified exceptions and other integrated system data. Still further aspects of the platform can be used to group these new events to create larger groupings of multiple transactions, events, data, exceptions, and/or research.

Abstract: A method and system for monitoring point of sale exceptions includes the ability to proactively and automatically analyze POS transactional data for certain patterns or occurrences that typically indicate specific behavior at or near a POS terminal in connection with a sales related operation, retrieve time-correlated video segments of a specified length of time from a camera source associated with the POS terminal used to execute aforementioned transaction, and present the video and transaction data together without obstruction on the same user display for contemporaneous review.

Abstract: A computer-based platform is provided for integrating data from multiple systems including (but not limited to) point of sale (POS) terminals, video systems, electronic article surveillance (EAS) systems, automatic teller machines (ATMs), gas pumps, alarm systems, radio frequency identification (RFID) detection systems, etc. The subject computer-based platform is configured to gather and correlate data (e.g., transactional data and/or video data), package such data into multiple discrete system “events”, and to provide various features for proactively identifying selected events as “exceptions”. Additional aspects of the computer-based platform may be utilized to provide signaled identification to a user of identified exceptions and other integrated system data. Still further aspects of the platform can be used to group these new events to create larger groupings of multiple transactions, events, data, exceptions, and/or research.

Abstract: A method and system for monitoring point of sale exceptions includes the ability to proactively and automatically analyze POS transactional data for certain patterns or occurrences that typically indicate specific behavior at or near a POS terminal in connection with a sales related operation, retrieve time-correlated video segments of a specified length of time from a camera source associated with the POS terminal used to execute aforementioned transaction, and present the video and transaction data together without obstruction on the same user display for contemporaneous review.