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2.
Semin Ultrasound CT MR ; 45(1): 22-28, 2024 Feb.
Article in English | MEDLINE | ID: mdl-38081554

ABSTRACT

To assess point-of-care ultrasound (POCUS) in 2024, we should start by defining its expanded scope and integration into general and specialty practice. Clinicians should abide by the evolving evidence for POCUS utilization and patient outcomes different from mortality and morbidity, especially as there are notable advancements in handheld ultrasound technology with a clear shift from capability to portability. To reduce diagnostic errors, POCUS practitioners need a holistic framework that accounts for known and new applications. Defining the POCUS scope of practices, proper training, and innovation, like artificial intelligence, can play a bigger role in mitigating diagnostic errors as we move forward.


Subject(s)
Artificial Intelligence , Point-of-Care Systems , Humans , Ultrasonography
3.
J Surg Educ ; 73(6): e42-e47, 2016.
Article in English | MEDLINE | ID: mdl-27491863

ABSTRACT

OBJECTIVE: The purpose of this study was to understand the effect of a team-based surgical skills intervention on the technical and nontechnical skills of surgery residents. DESIGN: This was a prospective cohort study with pretesting or posttesting. We designed basic tasks for the assessment and learning of nontechnical skills in the operating room (OR). A total of 15 postgraduate year 1 residents performed an open gastrojejunostomy in a simulated OR setting (pretest), followed by training in the 3 team-based tasks designed to teach communication and teamwork, followed by performance of a gastrojejunostomy in the simulated OR (posttest). SETTING: Tertiary care, university-based teaching institution. PARTICIPANTS: A total of 15 general surgery residents at the intern level. RESULTS: The mean nontechnical skills for surgeons (NOTSS) score improved postteam task training (10.04 ± 0.33 vs. 12.14 ± 1.33). There was a concomitant increase in the objective structured assessment of technical skills (OSATS) score (18.56 ± 0.86 vs. 22.86 ± 0.15, p = 0.006). The percentage increases in OSATS and NOTSS score for each resident was similar (19.49 ± 4.8 % for NOTSS vs. 21.22 ± 4.92 % for OSATS, p = 0.502). CONCLUSION: Nontechnical skills positively correlate with the technical performance of a surgeon. Simple, easily designed tasks can be used to improve NOTSS in the OR. These team tasks and development of curricula based on them can be used to explicitly address one of the most important components of ACGME core competencies for surgical residents, namely interpersonal skills and communication.


Subject(s)
Clinical Competence , General Surgery/education , Internship and Residency/methods , Patient Care Team/organization & administration , Simulation Training/methods , Adult , Cohort Studies , Education, Medical, Graduate/methods , Female , Gastric Bypass/education , Hospitals, University , Humans , Laparoscopy/education , Male , Operating Rooms , Prospective Studies , Task Performance and Analysis
4.
Am J Ophthalmol ; 150(4): 468-475.e2, 2010 Oct.
Article in English | MEDLINE | ID: mdl-20643397

ABSTRACT

PURPOSE: To examine the relationship between rate of vascular change and plus disease diagnosis. DESIGN: Retrospective observational case-control study. METHODS: Wide-angle images were taken bilaterally from 37 infants at 31 to 33 weeks and 35 to 37 weeks postmenstrual age (PMA). The semi-automated Retinal Image multiScale Analysis system was used to measure parameters for all arteries and veins: integrated curvature, diameter, and tortuosity index. A reference standard diagnosis (plus vs not plus) was defined for each eye by consensus of 5 experts at 35 to 37 weeks PMA. Weekly rate of change in parameters was compared in eyes with plus vs not plus disease. Receiver operating characteristic area under the curve (AUC) was calculated for plus disease detection based on 1) weekly rates of parameter change between 31 to 33 weeks and 35 to 37 weeks PMA and 2) parameter values at 35 to 37 weeks only. RESULTS: Weekly rates of change in all venous parameters were significantly different in eyes with plus vs not plus disease, particularly for tortuosity index (P < .0004) and diameter (P = .018). Using weekly rate of change, AUC for plus disease detection was highest for venous tortuosity index (0.819) and venous diameter (0.712). Using the 35 to 37-week PMA image only, AUC was highest for venous integrated curvature (0.952) and diameter (0.789). CONCLUSION: Rate of change in venous, but not arterial, parameters is correlated with plus disease development in this data set. This did not appear to contribute information beyond analysis of an image at 35 to 37 weeks PMA only.


Subject(s)
Eye Abnormalities/diagnosis , Retinal Artery/abnormalities , Retinal Vein/abnormalities , Retinopathy of Prematurity/diagnosis , Area Under Curve , Case-Control Studies , Gestational Age , Humans , Image Processing, Computer-Assisted , Infant , Infant, Newborn , Pilot Projects , ROC Curve , Retinal Artery/pathology , Retinal Vein/pathology , Retrospective Studies
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