CME Program Detail

Title: Pregnancy Beyond the Uterus: Complications for the Future
Date: Tue, Feb 4th, 2020
Time: 8:00 am - 11:00 am
Location: Lang Auditorium

Speakers:

Phyllis August, M.D., MPH

Daniel L. Lorber, M.D.

Lisa R. Sammaritano, M.D.

Daniel W. Skupski, M.D.
Disclosures: None

Moderators:

Daniel Lorber, MD and Daniel Skupski, MD

Objectives:

Statement of Need: There is a need to increase awareness about the life course effects of medical complications of pregnancy for both mother and neonate.

Target Audience: Internal Medicine Physicians, Obstetricians & Gynecologists, Nurse Practitioners, Physician Assistants, Fellows, Residents, Students

> Recognize the importance of patient education regarding long term health effects of pregnancy and pregnancy-related diseases
> Describe the effects of pregnancy-related diseases on the subsequent health of women
> Identify impact of pregnancy and postpartum period on long term health
> Apply knowledge in ordering appropriate medications for pregnant and postpartum women

Accreditation
NewYork Presbyterian/Queens is accredited by the Medical Society of the State of New York (MSSNY) to provide continuing medical education for physicians.

NewYork Presbyterian/Queens designates this Live Activity for a maximum of 2.50 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Disclosure Statement
The Medical Society of The State of New York relies upon planners and faculty participants in its CME activities to provide educational information that is objective and free of bias. In this spirit and in accordance with the guidelines of MSSNY, CPME and the ACCME, all speakers and planners for CME activities must disclose any relevant financial relationships with commercial interests whose products, devices or services may be discussed in the content of a CME activity, that might be perceived as a real or apparent conflict of interest. Any discussion of investigational or unlabeled uses of a product will be identified.

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