DDWS2-25 - CME/CMLE - Deep-Dive Workshop on Augmented and Artificial Intelligence (AI): Turning Laboratory Data into Insights: Introduction to the R Programming Language

Course Description

Laboratories generate a significant volume of the objective, structured data used to diagnose and treat patients. This data can be used to generate insights about the health of populations of patients, care gaps within healthcare systems, how our laboratories are performing, and how laboratories and healthcare systems can be improved. Data analysis is a powerful skill but is not routinely taught in laboratory medicine and pathology training programs. Learning the syntax and functions of a programming language to perform data analysis previously required a significant time investment but the emergence of large language models (e.g. ChatGPT, Microsoft Copilot) can help accelerate the adoption of these skills. The course will provide attendees with principles of effectively working with data while introducing the R programming language and the RStudio integrated development environment for performing laboratory data analysis. We will establish fundamental skills in the analysis of laboratory data, including visualization using the ggplot2 package as well as data transformation and summarization using dplyr tools. Learners will obtain practical experience by performing data analysis on a laboratory data set and gain a foundation for further data science skills. Finally, more advanced functionality in R will be outlined as well as guidance on how large language models can assist in developing new skills so that attendees will be prepared to develop their skills independently.

This session offers 4.0 CME/CMLE credits.

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Faculty/Authors

Mathias Patrick

Physician Competencies: Patient Care, Practice-Based Learning and Improvement, Systems-Based Practice
CME/CMLE Credit: 4.0
Estimated Completion Time: 4 hours
Format: Online Educational Activity

Accreditation Statement: The American Society for Clinical Pathology (ASCP) is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education (CME) for physicians. This activity has been planned and implemented in accordance with the Essential Areas and Policies of the Accreditation Council for Continuing Medical Education (ACCME).

Credit Designation Statement: The American Society for Clinical Pathology (ASCP) designates this journal-based CME activity for a maximum of 4 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Instructions

To claim CME/CMLE credit for the exercise, do the following:

Review the Technical Considerations.
Review the Faculty Disclosures.
Click Go to Course to view an overview of the modules in this course.
Click Access to begin the course.
Submit the course Evaluation.
Enter the maximum number of credits offered and click Claim CME to register credit.

Faculty Disclosure

Technical Considerations

Release Date: 11/17/2025
Review Date:
Expiration Date:

Summary

Availability:

On-Demand

Credit Offered:

4 CME/CMLE Credits