API Virtual Classroom Series

Wednesday, August 26, 2020   1:00 pm 3:00 pm:
Digital Pathology Realized: Real-World Advice from The Experts
 
University of Michigan
Overview:
With the advent of Covid19, the potential deployment of digital pathology becomes more than just a curiosity; rather, its adoption can be integral to a group practice's continued success and maximized productivity. This API Session will explore the utility of deploying digital pathology for the several of the most compelling use-cases, including remote frozen section diagnosis, primary digital sign-out, and remote consultation, taking advantage of the collective 50+ years of experience as represented by the renowned panel of speakers. This overall session will be comprised of three 30 minute overviews followed by an interactive question and answer session. Professor Ulysses Balis of the University of Michigan Department of Pathology will serve as the moderator for this API session.
 
The UHN Toronto Experience with Remote Digital Pathology and Frozen Section Diagnosis: A Decade of Clinical Use and Still Going Strong
 
The Ohio State University Experience with Primary Digital Pathology Sign-out
 
Effective Frozen Section and Remote Consultation Models Using Digital Pathology

REGISTRATION will be open until Tuesday, August 25, 2020 
API members: $79 | Non-members: $99
Trainees can register for the webinar at a discounted rate
API resident/fellow members: $19 | Non-member residents/fellows: $29
Please contact nova.smith@pathologyinformatics.org to verify your API membership/status as a resident or fellow to receive your discounted registration. 

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 TWO (2) AMA PRA Category 1 Credit(s).  Physicians should claim only the credit commensurate with the extent of their participation in the activity.



Thursday, July 16, 2020 from 1 PM ET to 5 PM ET and Friday, July 17, 2020 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 16, 2020
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 17, 2020
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

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 EIGHT (8) AMA PRA Category 1 Credit(s).  Physicians should claim only the credit commensurate with the extent of their participation in the activity.



Wednesday, June 24, 2020 from 11:30 AM ET to 1:30 PM ET: Informatics Impact on the Clinical Diagnostic Laboratory and the Healthcare Enterprise

For nearly five years, laboratory leaders have consistently broken new ground in exploring ways in which the clinical laboratory can extend its value proposition to the greater healthcare delivery system.  This is commonly referred by moniker of Lab 2.0.

Now, in the setting of unprecedented demands on laboratory medicine resources, as created by the global Covid-19 pandemic, Lab 2.0 is now more germane than ever.  The API is pleased to offer a mini-symposium on Lab 2.0, as presented by key laboratory leaders driving this movement.  This two-hour national teleconference will present targeted material outlining the numerous ways in which clinical laboratories can significantly impact the local delivery of healthcare in directly impact the quality and efficacy of clinical care.  This virtual educational session will consist of several lecture segment by the presenters interspersed with audience engaging Q&A breaks.

Maximizing the Value of an Integrated Laboratory Network: What has COVID-19 taught us?
Chair of the Board, PSFF; Executive Director and Sr. VP for Laboratory Services at Northwell Health

The Digital Assistant in 21st Century Diagnostics 
SUNY Distinguished Professor and Peter A. Nickerson, PhD Chair of Pathology and Anatomical Sciences, Department of Pathology and Anatomical Sciences University at Buffalo Jacobs School of Medicine & Biomedical Sciences, Buffalo, NY

Practical Applications of Informatics in Pathology and Lab Medicine
Duckworth Family Chair of Molecular Pathology, Chair of Pathology and Laboratory Medicine, Northshore University Healthsystem, Evanston, Il; Clinical Professor of Pathology University of Chicago Pritzker School of Medicine, Chicago, Il 

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 TWO (2) AMA PRA Category 1 Credit(s).  Physicians should claim only the credit commensurate with the extent of their participation in the activity.