University of Pittsburgh Health Sciences eLearning Environment Internet-based Studies in Education and Research
INTRODUCTION
ABIM MOC ID
1/31/2017 - Medical Grand Rounds: Bench to Bedside: Big Data in Precision Medicine and Personalized Care
QUIZ
EVALUATION
CERTIFICATE
Credit Hours: CME 1.00
Faculty, residents, fellows, and community physicians in General Internal Medicine and subspecialties.
Upon completion of this activity, participants should be able to:
- Explain the concept of Precision Medicine.
- Describe the growth of computational data and support in clinical care.
- Recognize whether biomarkers change during cancer progression.
- Gamulin S. The forthcoming era of precision medicine. Acta Med Acad. 2016 Nov;45(2):152-157. doi: 10.5644/ama2006-124.171. PMID: 28000491.
- Wu PY, Cheng CW, Kaddi CD, Venugopalan J, Hoffman R, Wang MD. -Omic and Electronic Health Record Big Data Analytics for Precision Medicine. IEEE Trans Biomed Eng. 2017 Feb;64(2):263-273. doi: 10.1109/TBME.2016.2573285.
- Beckmann JS, Lew D. Reconciling evidence-based medicine and precision medicine in the era of big data: challenges and opportunities. Genome Med. 2016 Dec 19;8(1):134. PMID: 27993174.
No relationships with industry relevant to the content of this educational activity have been disclosed.
No relationships with industry relevant to the content of this educational activity have been disclosed.
The University of Pittsburgh School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
The University of Pittsburgh School of Medicine designates this enduring material for a maximum of 1.0 AMA PRA Category 1 Credits. Each physician should only claim credit commensurate with the extent of their participation in the activity.
Other health care professionals are awarded (0.1) continuing education units (CEU) which are equivalent to 1.0 contact hours.
The University of Pittsburgh is an affirmative action, equal opportunity institution.