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1.
JAMA Surg ; 148(10): 915-22, 2013 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-23945792

RESUMO

IMPORTANCE: Advancing surgical technology and decreasing resident learning hours have limited exposure to perioperative training, necessitating more effective and efficient perioperative teaching by faculty surgeons. Participation in collaborative efforts and process improvement can change behaviors and enhance teaching. OBJECTIVES: To promote deliberate teaching of residents, change resident perception of their teachers, and produce sustainable improvements by objectively measuring surgeons' perioperative teaching performance. DESIGN, SETTING, AND PARTICIPANTS: This 3-phase observational study of surgeons' perioperative teaching behaviors included university-based surgeons, general surgery residents, and preclinical student observers and involved elective cases at a 600+ bed tertiary hospital. Initially, we measured teaching behaviors by surgeons unaware of study objectives, provided aggregate and confidential individual feedback, and developed standardized preoperative briefings and postoperative debriefings. Phase 2 applied a deliberate teaching model and reinforced behaviors with continuous process improvement efforts (Plan, Do, Check, Act) and repeat observations. Phase 3 used resident prompts to enhance teaching behaviors and demonstrate sustainability. Resident surveys conducted 3 times assessed perceptions of deliberate guidance by faculty when compared with national benchmarks. INTERVENTIONS: Introduction of deliberate faculty preprocedural focusing and postprocedural reinforcement to facilitate resident learning. MAIN OUTCOMES AND MEASURES: More frequent and complete perioperative teaching by faculty and the perception of enhanced teaching by residents. RESULTS: Faculty more commonly and more completely performed the 10-step preoperative briefings and postoperative debriefings (P < .001) during phase 2 (250% improvement over baseline). Intraoperative teaching styles significantly improved and residents' survey-reported assessments of faculty teaching improved over national data for describing procedural steps (P = .02) and requests for resident self-evaluation (P = .006). CONCLUSIONS AND RELEVANCE: Objective recording of teaching behavior frequency motivated adoption of deliberate guided teaching behaviors by surgeons, resulting in both subjective reports by residents of more frequent teaching and objective recording of parallel improvements. A deliberate focus on objectively assessing surgeon educators' periprocedural teaching may motivate improved teaching.


Assuntos
Educação de Pós-Graduação em Medicina/normas , Avaliação de Desempenho Profissional/métodos , Docentes de Medicina/normas , Cirurgia Geral/educação , Competência Profissional , Ensino/normas , Humanos , Internato e Residência
2.
IEEE Trans Vis Comput Graph ; 16(6): 918-26, 2010.
Artigo em Inglês | MEDLINE | ID: mdl-20975128

RESUMO

In this work we present, apply, and evaluate a novel, interactive visualization model for comparative analysis of structural variants and rearrangements in human and cancer genomes, with emphasis on data integration and uncertainty visualization. To support both global trend analysis and local feature detection, this model enables explorations continuously scaled from the high-level, complete genome perspective, down to the low-level, structural rearrangement view, while preserving global context at all times. We have implemented these techniques in Gremlin, a genomic rearrangement explorer with multi-scale, linked interactions, which we apply to four human cancer genome data sets for evaluation. Using an insight-based evaluation methodology, we compare Gremlin to Circos, the state-of-the-art in genomic rearrangement visualization, through a small user study with computational biologists working in rearrangement analysis. Results from user study evaluations demonstrate that this visualization model enables more total insights, more insights per minute, and more complex insights than the current state-of-the-art for visual analysis and exploration of genome rearrangements.


Assuntos
Gráficos por Computador , Rearranjo Gênico , Simulação por Computador , Bases de Dados Genéticas , Genoma Humano , Humanos , Modelos Genéticos , Interface Usuário-Computador
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