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What Makes the "Perfect" Inpatient Consultation? A Qualitative Analysis of Resident and Fellow Perspectives.

08:00 EDT 9th July 2019 | BioPortfolio

Summary of "What Makes the "Perfect" Inpatient Consultation? A Qualitative Analysis of Resident and Fellow Perspectives."

To characterize the methods of inpatient consult communication, given new communication modalities; to explore residents' and fellows' perspectives on the ideal consult and how this affects their teaching, learning, and patient safety; and to identify barriers to and strategies for optimizing consultations.

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This article was published in the following journal.

Name: Academic medicine : journal of the Association of American Medical Colleges
ISSN: 1938-808X
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Medical and Biotech [MESH] Definitions

A phylum of fungi which have cross-walls or septa in the mycelium. The perfect state is characterized by the formation of a saclike cell (ascus) containing ascospores. Most pathogenic fungi with a known perfect state belong to this phylum.

The application of STATISTICS to biological systems and organisms involving the retrieval or collection, analysis, reduction, and interpretation of qualitative and quantitative data.

A genus of onygenacetous mitosporic fungi whose perfect state is Ajellomyces (see ONYGENALES). The species Blastomyces dermatitidis (perfect state Ajellomyces dermatitidis) causes blastomycosis.

Consultation via remote telecommunications, generally for the purpose of diagnosis or treatment of a patient at a site remote from the patient or primary physician.

Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable.

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