Cat Scratch Disease: 9 Years of Experience at a Pediatric Center.

Background: A more complete understanding of the epidemiology, risk factors, and clinical features of cat scratch disease (CSD) in children could help guide patient care.

Methods: We conducted a retrospective analysis of children presenting to a tertiary pediatric hospital system in Atlanta, Georgia between January 1, 2010 and December 31, 2018 who had serology, polymerase chain reaction, and/or cytopathological results consistent with a infection. We also retrospectively reviewed veterinary diagnostic results performed at the University of Georgia from 2018 to 2020 to ascertain the burden of bartonellosis in companion animals within the state.

Utility of Fluorescence In Situ Hybridization Panel for Myelodysplastic Syndrome in Evaluation of Cytopenia in a Pediatric Hospital: A 5-Year Retrospective Review and Utilization Management.

Background: MDS FISH was routinely ordered together with chromosome analysis for patients with cytopenia in our hospital. The utility of MDS FISH in the pediatric population is unknown.

Objective: To analyze the utility of fluorescence in situ hybridization panel for myelodysplastic syndrome (MDS FISH) in the management of patients with cytopenia.

Medical alert management: a real-time adaptive decision support tool to reduce alert fatigue.

With the adoption of electronic medical records (EMRs), drug safety alerts are increasingly recognized as valuable tools for reducing adverse drug events and improving patient safety. However, even with proper tuning of the EMR alert parameters, the volume of unfiltered alerts can be overwhelming to users. In this paper, we design an adaptive decision support tool in which past cognitive overriding decisions of users are learned, adapted and used for filtering actions to be performed on current alerts.

Improving Patient Safety through Medical Alert Management: An Automated Decision Tool to Reduce Alert Fatigue.

Drug safety alerts, a feature of electronic medical records (EMRs), are increasingly recognized as valuable tools for reducing adverse drug events and improving patient safety. However, there has also been increased understanding that alert fatigue, a state in which users become overwhelmed and unresponsive to alerts in general, is a threat to patient safety. In this paper, we seek to mitigate alert fatigue by filtering superfluous alerts.