Citations

AbstractObjectiveAcute myeloid leukemia (AML) can be subtyped based on recurrent cytogenetic and molecular genetic abnormalities with diagnostic and prognostic significance. Although cytogenetic characterization classically involves conventional chromosome and/or fluorescence in situ hybridization (FISH) assays, limitations of these techniques include poor resolution and the inability to precisely identify breakpoints.MethodWe evaluated whether an NGS‐based methodology that detects structural abnormalities and copy number changes using mate pair sequencing (MPseq) can enhance the diagnostic yield for patients with AML.ResultsUsing 68 known abnormal and 20 karyotypically normal AML samples, each recurrent primary AML‐specific abnormality previously identified in the abnormal samples was confirmed using MPseq. Importantly, in eight cases with abnormalities that could not be resolved by conventional cytogenetic studies, MPseq was utilized to molecularly define eight recurrent AML‐fusion events. In addition, MPseq uncovered two cryptic abnormalities that were missed by conventional cytogenetic studies. Thus, MPseq improved the diagnostic yield in the detection of AML‐specific structural rearrangements in 10/88 (11%) of cases analyzed.ConclusionUtilization of MPseq represents a precise, molecular‐based technique that can be used as an alternative to conventional cytogenetic studies for newly diagnosed AML patients with the potential to revolutionize the diagnosis of hematologic malignancies.

The aim of this study was twofold—(1) to compare the current ED staffing workload alert system to clinicians’ perceptions of workload in the ED, and (2) to examine the potential impact of a multi-faceted, systems-level intervention on clinicians’ perceptions of workload. Constant flow of patients into the Emergency Departments (ED) regularly increases the workload of clinicians and can compromise the quality of care delivery and patient safety. An automatic staffing workload alert system was created and implemented in response to an observed shift in patient volume to the overnight hours at one academic quaternary care center. Surveys addressing workload and interruptions were administered to ED clinicians, pre-and post-intervention implementation. Output from the staffing workload alert system was recorded for each clinician shift. Clinicians’ perceptions of workload were able to predict swing shift activations, χ 2 (6) = 14.14, p = 0.028. Only the performance subscale significantly correlated with swing shift activations, p=0.006. A Kruskal-Wallis H test found perceived interruptions changed following systems-level changes, χ 2 (1) = 7.195, p = 0.007. Utilizing subjective measure of clinicians’ workload validated an objective, automated staffing workload alert system that determined if swing shift activations are necessary.

Objective: With advancements in surgical equipment and procedures, human–system interactions in operating rooms affect surgeon workload and performance. Workload was measured across surgical specialties using surveys to identify potential predictors of high workload for future performance improvement. Summary Background Data: Surgical instrumentation and technique advancements have implications for surgeon workload and human–systems interactions. To understand and improve the interaction of components in the work system, NASA-Task Load Index can measure workload across various fields. Baseline workload measurements provide a broad overview of the field and identify areas most in need of improvement. Methods: Surgeons were administered a modified NASA-Task Load Index survey (0 = low, 20 = high) following each procedure. Patient and procedural factors were retrieved retrospectively. Results: Thirty-four surgeons (41% female) completed 662 surgery surveys (M = 14.85, SD = 7.94), of which 506 (76%) have associated patient and procedural data. Mental demand (M = 7.7, SD = 5.56), physical demand (M = 7.0, SD = 5.66), and effort (M = 7.8, SD = 5.77) were the highest rated workload subscales. Surgeons reported difficulty levels higher than expected for 22% of procedures, during which workload was significantly higher ( P < 0.05) and procedural durations were significantly longer ( P > 0.001). Surgeons reported poorer perceived performance during cases with unexpectedly high difficulty ( P < 0.001). Conclusions: When procedural difficulty is greater than expected, there are negative implications for mental and physical demand that result in poorer perceived performance. Investigations are underway to identify patient and surgical variables associated with unexpected difficulty and high workload. Future efforts will focus on re-engineering the surgical planning process and procedural environment to optimize workload and performance for improved surgical care.

Problem Case-based learning is an established means of educating students in law, business, and medicine; however, this methodology is not often applied to educating translational biomedical researchers. The application of case-based learning to translational biomedical research education allows scholars to actively engage with real-world material and apply their newfound knowledge as it is acquired. Approach Through the Mayo Clinic Center for Clinical and Translational Science (CCaTS), three courses were delivered in 2009–2017 which emphasized case-based learning in clinical and translational science, entrepreneurship, and individualized medicine. Quantitative measures collected in student course reviews upon course completion were analyzed. Additionally, products arising from each course were identified, including publications and startups pitched. Outcomes Analyses demonstrate that case-based learning techniques are well suited to graduate biomedical research education. Furthermore, case studies can be employed throughout the entire clinical and translational spectrum, from basic and preclinical work through to clinical and population-based learning. Next Steps Within CCaTS, next steps include creating case-based courses in regulatory and team science to continue to allow scholars to learn and apply these critical skills to real-world material. The goal is to continue to provide immersive training opportunities in areas of clinical and translational science that cannot be readily learned in a traditional lecture-based class setting.