BACKGROUND:
Morning report (MR) is a common case-based conference in graduate medical education. Recent studies highlight participant dissatisfaction with the educational value of MR, but data are lacking on means for improvement. We aimed to increase MR quality and participant satisfaction at our academic pediatric residency program.
METHODS:
Improvement science was used to develop and implement a new standardized pediatric MR process (intervention), with 5 core educational elements and structured resident–faculty mentorship. Educational elements were measured via feedback forms and tracked using a run chart. Residents and faculty were surveyed regarding MR quality and satisfaction at baseline and 6 months postintervention; responses were analyzed using mixed effects logistic regression.
RESULTS:
The median of educational elements increased from 3 to 5 (5 maximum) during the 6-month study period and 12-months poststudy. Baseline and postintervention survey response rates were 90% (18 of 20) for residents and 66% (51 of 77) for faculty. Residents reporting high quality MR changed from 50% to 72% (P = .20), and faculty from 29% to 85% (P <.001). Satisfaction with MR content increased for both residents (50%–89%, P = .03) and faculty (25%–67%, P <.001). Resident satisfaction with faculty mentorship before MR increased from 28% to 78% (P = .01); satisfaction with faculty feedback after MR increased from 11% to 56% (P = .02).
CONCLUSIONS:
Improvement science can be used to develop a new pediatric graduate medical education process. Requiring core educational elements and providing structured mentorship were associated with improvements in pediatric MR quality and participant satisfaction.
The Search for Extraterrestrial Intelligence (SETI) has traditionally been conducted at radio wavelengths, but optical searches are well-motivated and increasingly feasible due to the growing availability of high-resolution spectroscopy. We present a data analysis pipeline to search Automated Planet Finder (APF) spectroscopic observations from the Levy Spectrometer for intense, persistent, narrow bandwidth optical lasers. We describe the processing of the spectra, the laser search algorithm, and the results of our laser search on 1983 spectra of 388 stars as part of the Breakthrough Listen search for technosignatures. We utilize an empirical spectra-matching algorithm called SpecMatch-Emp to produce residuals between each target spectrum and a set of best-matching catalog spectra, which provides the basis for a more sensitive search than previously possible. We verify that SpecMatch-Emp performs well on APF-Levy spectra by calibrating the stellar properties derived by the algorithm against the SpecMatch-Emp library and against Gaia catalog values. We leverage our unique observing strategy, which produces multiple spectra of each target per night of observing, to increase our detection sensitivity by programmatically rejecting events which do not persist between observations. With our laser search algorithm we achieve a sensitivity equivalent to the ability to detect an 84 kW laser at the median distance of a star in our dataset (78.5 ly). We present the methodology and vetting of our laser search, finding no convincing candidates consistent with potential laser emission in our target sample.
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