Virtual Classroom Webinar: 2021 R Workshop

Thursday, July 15, 2021 from 1 PM ET to 5 PM ET and Friday, July 16, 2021 from 1 PM ET to 5 PM ET:  Introduction to R Workshop Interactive Webinar

 
This is a beginner's workshop on the statistical programming language R. R is a scalable tool that enables data analytics and graphics, and when mastered can be used for machine learning, image analysis, business intelligence, and much more!
 
This introductory R workshop aims to teach participants with minimal programming experience the basics of the R statistical programming language for reproducible laboratory data analytics. R is a freely available programming environment that is aimed squarely at common activities in data analysis including complex data manipulation, statistical analysis, automation, and robust visualization. We will introduce basic concepts of R programming as well as more generalizable best practices in working with laboratory data. 
 
Particularly for learners without computer programming skills, learning basic principles can be a challenge. By introducing basic tasks such as importing files, performing calculations, and generating plots, attendees will gain comfort with programming concepts and develop tools for lifelong learning.
 
Learning Objectives:

At the conclusion of this workshop participants will be able to:
  1. List the key features of reproducibility in clinical data analysis
  2. Use R to perform routine analyses of laboratory operational and quality data
  3. Create simple reproducible reports using R to support clinical laboratory operational needs

July 15, 2021

1:00 pm - 1:30 pmInstructor Introductions, Introduction to TechnologyAmrom Obstfeld, MD, PhD
1:30 pm - 2:15 pmIntroduction to R and RStudioJoseph Rudolf, MD
2:30 pm - 3:15 pmR Basics for Reproducible ReportingPatrick Mathias,MD, PhD
3:30 pm - 5:00 pmData Visualization in RStephan Kadauke, MD, PhD
  

July 16, 2021

1:00 pm - 2:30 pmData ManipulationAmrom Obstfeld, MD, PhD
2:45 pm - 4:15 pmStatistical Analysis in RDan Herman, MD, PhD
4:30 pm - 5:00 pmAdvanced Reporting in RPatrick Mathias, MD, PhD


Costs:

API members: $299 | Non-members $399

API resident/fellow members: $49 (with discount code) | Non-member residents/fellows $79

REGISTRATION IS LIMITED TO 35 paid registrants and 15 scholarships for API member residents/fellows.

All registrations are on a first-come, first-served basis. 

API is providing 15 scholarships for API trainee members who have not previously taken the course.  Other API trainee members can register for the workshop at a discounted rate of $49 (contact Nova Smith for discount code). 


CME ACCREDITATION STATEMENT:  This activity has been planned and implemented in accordance with the accreditation requirements and policies of the Accreditation Council for Continuing Medical Education (ACCME) through the joint providership of the University of Michigan Medical School and Association for Pathology Informatics. The University of Michigan Medical School is accredited by the ACCME to provide continuing medical education for physicians.

The University of Michigan Medical School designates this Live Activity for a maximum of TBD AMA PRA Category 1 Credit(s).  Physicians should claim only the credit commensurate with the extent of their participation in the activity.



 
 

Amrom Obstfeld, MD, PhD
Assistant Professor of Clinical Pathology and Laboratory Medicine
University of Pennsylvania Perelman School of Medicine
Assistant Director of Hematology and Coagulation Laboratories
Children's Hospital of Philadelphia
Philadelphia, PA
obstfelda@email.chop.edu

Amrom Obstfeld MD, PhD, is the Medical Director of the Division of Pathology Informatics as well as the Hematology Laboratory at Childrens Hospital of Philadelphia. After receiving his MD and PhD degrees from the College of Physicians and Surgeons at Columbia University, he went on to train in Clinical Pathology at the Hospital of the University of Pennsylvania. In addition to his duties within the Hematology Laboratory, Dr. Obstfelds clinical responsibilities include leading the development of analytic tools to aid in laboratory quality management, administration, and operation, and interfacing with other groups throughout the hospital on informatics initiatives. His research focuses on utilizing clinical and pre-clinical laboratory data sets for predicting diagnosis and prognosis using statistical and machine learning techniques. Dr. Obstfeld plays a major role in designing and implementing educational experiences for pathology trainees and faculty at the University of Pennsylvania within the areas of clinical and pathology informatics.


Daniel S. Herman, MD, PhD
Assistant Professor of Pathology and Laboratory Medicine at the Hospital of the University of Pennsylvania
Director, Endocrine Laboratory
University of Pennsylvania Perelman School of Medicine
Philadelphia, PA
daniel.herman2@uphs.upenn.edu

Daniel Herman practices clinical pathology at the University of Pennsylvania, where he directs the Endocrinology laboratory at the Hospital of the University of Pennsylvania. He completed his MD and PhD degrees at Harvard Medical School and trained in Clinical Pathology at the University of Washington. His current clinical practice, in addition to clinical chemistry, includes leading informatics projects to make better use of existing laboratory data in the form of live operational dashboards, test utilization reports, and identification of missing patient diagnoses. His research group has been developing EHR-based methods to improve population health screening, focused initially on improving population hypertension management by identifying patients with undiagnosed primary aldosteronism. In response to the Covid-19 pandemic, Dr. Herman has been leveraging in-practice SARS-CoV-2 testing data to monitor infection rates in the community and is working toward understanding the immune correlates of anti-SARS-CoV-2 antibodies.


Stephan Kadauke, MD, PhD
Assistant Professor of Clinical Pathology and Laboratory Medicine
University of Pennsylvania Perelman School of Medicine
Assistant Director of the Cell and Gene Therapy Laboratory 
Children's Hospital of Philadelphia
Philadelphia, PA
kadaukes@email.chop.edu

Stephan Kadauke is an Assistant Professor of Pathology and Lab Medicine at the Childrens Hospital of Philadelphia. Stephan is the Assistant Director of the Cell and Gene Therapy lab and a Faculty member of the Division of Pathology Informatics. Stephan has been teaching R to residents and medical students, and hes used R to build apps that have been deployed in his clinical laboratory. Stephan is also the Chair of the upcoming R/Medicine 2020 Virtual Conference.

Patrick Mathias, MD, PhD
Assistant Professor, Department of Laboratory Medicine 
University of Washington School of Medicine
Associate Medical Director, Laboratory Medicine Informatics 

Seattle, WA
pcm10@uw.edu

Joseph Rudolf, MD
Assistant Professor, Department of Pathology, University of Utah School of Medicine
Medical Director, Automated Core Laboratory, ARUP Laboratories
joseph.rudolf@aruplab.com