Comparison of time utilization in an academic inpatient versus an outpatient vascular laboratory.

PURPOSE: Efficient, cost-effective services in vascular laboratories (VLs) will be required in tomorrow's health care environment. Inpatient VLs (IPVL) are burdened with complex patients, excessive workload, and a high percentage of bedside tests. Outpatient VLs (OPVL) are therefore presumed to be more productive and efficient. We compared time utilization in OPVLs and IPVL to test this hypothesis. METHODS: Vascular sonographers at an academic IPVL and OPVL were asked to track their daily activities during five consecutive weekdays. Test type, scan time, delays in patient arrival, preparation for the test, computer entry, and administrative time (patient- and non-patient-related) were logged. RESULTS: Delay in patient arrival and non-patient-related administration activities were both significantly greater in the OPVL (p < 0.01 and 0.03, respectively). Actual scan time occupied only 38.8% of the technologist's day, with the rest spent on patient- and non-patient-related activities. CONCLUSIONS: No appreciable differences were noted between IPVL and OPVL in most of the efficiency parameters measured. General administration time and delay in patient arrival were greater in the OPVL. Thus, OPVL were not more efficient than IPVL. In order to maximize efficiency in the OPVL, non-patient-related activities, which occupy over a quarter of the daily workday, must be shifted from technologists to support staff. © 2016 Wiley Periodicals, Inc. J Clin Ultrasound 44:540-544, 2016.

NanoBRET™ Live-Cell Kinase Selectivity Profiling Adapted for High-Throughput Screening.

Kinases represent one of the most therapeutically tractable targets for drug discovery in the twenty-first century. However, confirming engagement and achieving intracellular kinase selectivity for small-molecule kinase inhibitors can represent noteworthy challenges. The NanoBRETTM platform enables broad-spectrum live-cell kinase selectivity profiling in most laboratory settings, without advanced instrumentation or expertise. However, the prototype workflow for this selectivity profiling is currently limited to manual liquid handling and 96-well plates. Herein, we describe a scalable workflow with automation and acoustic dispensing, thus dramatically improving the throughput. Such adaptations enable profiling of larger compound sets against 192 full-length protein kinases in live cells, with statistical robustness supporting quantitative analysis.