Clinical Problem Solving

МООК
en
Английский
24 h
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Source
  • From www.coursera.org
Conditions
  • Self-paced
  • Free Access
  • Бесплатный сертификат
More info
  • 6 Sequences
  • Introductive Level

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Course details

Syllabus

  • Module 1: How experts understand diseases and how to read like an expert to form disease based illness scripts.
  • Module 2: How experts analyze their patient' problems: processing and the patient illness script.
  • Module 3: Using disease and patient illness scripts to prioritize differential diagnostic possibilities into tiers of probability
  • Module 4: Understanding how diagnostic tests can be appropriately used to improve diagnostic accuracy.
  • Module 5: Diagnostic Mistakes: how they happen, how you can avoid them and how to find them once they occur.
  • Module 6: How our clinical problem solving strategies can be used to write good test questions, perform well on tests, and teach others to do well too.

Prerequisite

None.

Instructors

  • Catherine Lucey - School of Medicine

Editor

The University of California, San Francisco, is dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and high-quality patient care. UC San Francisco is the only campus in the University of California system dedicated exclusively to the health sciences. UCSF's innovative, collaborative approaches for health care, research and education span disciplines across the health sciences and make it a world leader in scientific discovery and its translation into improved health.

Platform

Coursera - это цифровая компания, предлагающая массовые открытые онлайн-курсы, основанные учителями компьютеров Эндрю Нгом и Стэнфордским университетом Дафни Коллер, расположенные в Маунтин-Вью, штат Калифорния.

Coursera работает с ведущими университетами и организациями, чтобы сделать некоторые из своих курсов доступными в Интернете, и предлагает курсы по многим предметам, включая: физику, инженерию, гуманитарные науки, медицину, биологию, социальные науки, математику, бизнес, информатику, цифровой маркетинг, науку о данных и другие предметы.

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