This four-part, after-hours series introduces imaging informatics and its role in modern medicine, helping students and trainees understand how imaging data, technology, and clinical workflows come together to improve patient care, while also highlighting emerging innovations and potential career paths in the field. Register for each session separately.
April 20 | Session 1
What is Clinical & Imaging Informatics
April 27 | Session 2
How Clinical Data Moves: The Infrastructure Behind Modern Imaging
May 4 | Session 3
The Imaging Lifecycle: Workflow, Bottlenecks, and Safety
May 11 | Session 4
Building, Processing, and Governing Clinical Imaging Datasets: Foundations for AI
Session 1 will be an introductory conversation for undifferentiated medical students, trainees, and residents. This discussion serves as a foundational primer on clinical and imaging informatics, clarifying what the field encompasses and why it matters to every clinician.
Participants will define informatics beyond “IT,” exploring its role in clinical decision-making, workflow optimization, patient safety, and digital transformation. A focused look at imaging informatics highlights how radiology has historically led the way in health data innovation. The conversation also explores diverse career pathways—including imaging informatics, consumer health, public health, operational leadership, and industry partnerships—offering a practical roadmap for those interested in entering the field.
Objectives
- Define clinical informatics and distinguish it from traditional IT roles
- Describe the scope and importance of imaging informatics within healthcare systems
- Identify major domains of informatics, including consumer health, public health, enterprise operations, and AI
- Compare common career pathways in academic, operational, and industry settings
- Develop an initial framework for pursuing training or leadership in informatics
Dana Alkhulaifat, MD
Alex Towbin, MD, FSIIM
Webinar
Building, Processing, and Governing Clinical Imaging Datasets: Foundations for AI
This final session in the series will discuss extracting structured and unstructured data from EHR systems, retrieving DICOM metadata and images from PACS, linking imaging to outcomes, and managing de-identification and IRB oversight. Emphasis will be placed on data quality, reproducibility, governance frameworks, and the operational realities of AI integration. The session will clarify how robust data infrastructure underpins trustworthy algorithm development and clinical deployment.
Webinar
The Imaging Lifecycle: Workflow, Bottlenecks, and Safety
Session 3 will explore the imaging lifecycle as a safety-critical workflow through a practical, discussion-driven lens. This conversation is geared toward undifferentiated medical students, trainees, and residents who want to better understand imaging informatics and its impact on clinical care.
Webinar
How Clinical Data Moves: The Infrastructure Behind Modern Imaging
Session 2 will explore how clinical and imaging data move across healthcare systems through the technical and operational architecture that supports them. This conversation is designed for undifferentiated medical students, trainees and residents who want to better understand imaging informatics and its role in clinical practice.