Title
Category
Credits
Event date
Cost
  • AMA
  • Attendance
$0.00
Health care providers have a unique opportunity to become the first point of contact in identifying and providing assistance to human trafficking victims. This activity is designed to educate physicians and health care practitioners on human trafficking and provide information on a trauma-informed and patient-centered approach to providing care and education, increasing identification, and responding appropriately to persons who are at risk or have experienced trafficking.
  • AMA
  • Attendance
$0.00
UT Southwestern CTSA Program Community Engagement Grand Rounds OnlinePurpose and Content
  • AMA
  • Attendance
$0.00
UT Southwestern CTSA Program Community Engagement Grand Rounds OnlinePurpose and Content
  • AMA
  • Attendance
$0.00
Method of ParticipationThis continuing medical education enduring material is in a video format. To receive a maximum of 1.0 AMA PRA Category 1 Credit(s)™ you should:
  • AMA
  • Attendance
$0.00
Method of ParticipationThis continuing medical education enduring material is in a video format. To receive a maximum of 1.0 AMA PRA Category 1 Credit(s)™ you should:
  • AMA
  • Attendance
$0.00
UT Southwestern CTSA Program Community Engagement Grand Rounds OnlinePurpose and Content
  • AMA
  • Attendance
$0.00
Method of ParticipationThis continuing medical education enduring material is in a video format. To receive a maximum of 1.0 AMA PRA Category 1 Credit(s)™ you should:
  • AMA
$0.00
Purpose and OverviewThe purpose of this talk is to provide a brief history of trans-catheter aortic valve replacement (TAVR) and general background of our current state of practice for severe aortic stenosis. In additional to established indications for tricuspid aortic stenosis and patients appropriate for this technology, we will also discuss clinical and experimental use of TAVR for bicuspid aortic valve disease, primary aortic insufficiency, and moderate aortic stenosis.
  • AMA
$0.00
Purpose and OverviewUnderstand history of spirometry, where reference equations and predicted/normal values come from, and understand how these predicted values can lead to bias in interpretation.

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