Clinical Examinations in Gynaecology: Pelvic Examination
This multimedia-based module is part of a series designed for medical students to assist in preparation for clinical examinations in gynaecology. This module explores how to examine the pelvis. more
Clinical Examinations in Gynaecology: Examination of the Abdomen
This multimedia-based module is part of a series designed for medical students to assist in preparation for clinical examinations in gynaecology. This module explores how to examine the abdomen. more
Clinical Examinations in Gynaecology: General Physical Examination in Gynaecology
This multimedia-based module is part of a series designed for medical students to assist in preparation for clinical examinations in gynaecology. This module explores the general physical examination in gynaecology. more
Clinical Examinations in Gynaecology: Basic Guidelines and History Taking
This multimedia-based module is part of a series designed for medical students to assist in preparation for clinical examinations in gynaecology. This module explores basic guidelines and the components history taking. more
Part 3: Anaerobic infections
Part 3 of 3-part lecture series about infections with Gram-negative obligate anaerobes more
Part 2: Anaerobic infections
Part 2 of 3-part lecture series about infections with Gram-negative obligate anaerobes more
Part 1: Anaerobic infections
Part 1 of 3-part lecture series about infections with Gram-negative obligate anaerobes more
Fastidious Gram-negative bacteria
A single lecture about bacterial vaginosis, HACEK infections, and legionella. more
Data Quality Out of Range Values PowerPoint
Defines what “Out of Range Values” are and how to account for them in data collection and statistical analysis. *Competencies/Skills that HIBB Addresses*: Understand how to minimize out of range values when creating new data sets more
Out of Range Values Detailed Specifications
Out of Range Values Detailed Specifications - Defines what “Out of Range Values” are and how to account for them in data collection and statistical analysis. Competencies/Skills that HIBB Addresses: Understand how to minimize out of range values when creating new data sets more
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