Clinical Acuity Shorthand System: a standardized classification tool to facilitate handoffs.

BACKGROUND: The handoff of medical information from one provider to another can be inefficient and error prone, potentially undermining patient safety. Although several tools for structuring handoffs exist, none provide a brief, standardized framework for ensuring that patient acuity is efficiently and reliably communicated. We aim to introduce and perform initial testing of the Clinical Acuity Shorthand System (CLASS) (Copyright 2015, Duke University. All rights reserved.) for surgery, a patient classification tool intended to facilitate efficient communication of key patient information during handoffs. MATERIALS AND METHODS: Surgical trainees at a single center were asked to perform an exercise involving application of CLASS to 10 theoretical patient scenarios and to then complete a brief survey. Responses were scored based on similarity to target answers. Performance was evaluated overall and between groups of trainees. Time required to complete the exercise was also determined and perceived utility of the system was assessed based on survey responses. RESULTS: The study task was completed by 17 participants. Mean time to task completion was 10.3 ± 8.4 min. Accuracy was not decreased, and was in fact superior, in junior trainees. Most respondents indicated that such a system would be feasible and could prevent medical errors. CONCLUSIONS: CLASS is a novel system that can be learned quickly and implemented readily by trainees and can be used to convey patient information concisely and with acceptable fidelity regardless of level of training. Further study examining application of this system on clinical surgical services is warranted.

Computed Tomography-Based Limb Volume Measurements for Isolated Limb Infusion in Melanoma.

BACKGROUND: Despite advances in cross-sectional imaging, chemotherapeutic dosing for isolated limb infusion (ILI) in melanoma is currently calculated through cumbersome and potentially imprecise manual measurements. The primary objective of this study was to examine the feasibility of using computed tomography (CT) to calculate limb volume, its concordance with manual measurement, and its ability to predict clinical response and toxicity in patients undergoing ILI. METHODS: A retrospective analysis of all patients undergoing lower extremity ILI at Duke University Medical Center between 2003 and 2014 was performed. Data pertaining to manually measured limb volume, chemotherapeutic dosing, and patient outcome was obtained. CT-based measurements of limb volume were performed in all patients for whom imaging was available and subsequently compared with manually measured values. RESULTS: CT data were sufficient for measurement in 73 patients. The mean measurement time was 4.61 ± 2.13 min. Although average CT-based measurements were 1.20 L higher in the case of lower limbs, they correlated well with those obtained manually (r (2) = 0.90). Unlike manual measurement, patients with complete responses to chemotherapy had smaller limb volumes than those with disease progression as measured by CT (9.3 vs. 10.7 L; p = .038). Patients suffering grade 3 and 4 toxicities also had statistically lower limb volumes as measured by CT than those who did not (p < .05). CONCLUSIONS: CT-based limb volume measurement is feasible for chemotherapy dosing in patients undergoing ILI for melanoma and has predictive value with respect to clinical response and toxicity.