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 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.
Each stage—ordering, scheduling, protocoling, acquisition, interpretation, communication, and follow-up—will be mapped to identify where delays, variability, and diagnostic risk emerge. Informatics tools such as clinical decision support, structured reporting, workflow analytics, and closed-loop communication systems will be examined as ways to reduce diagnostic errors and operational inefficiencies, while demonstrating how informatics-driven redesign can improve turnaround times, reduce burnout, and enhance patient outcomes.
Objectives
- Map the full imaging lifecycle and identify high-risk transition points
- Recognize common operational bottlenecks that contribute to diagnostic delay
- Evaluate the role of clinical decision support in improving imaging appropriateness and safety
- Distinguish between high-value automation and sources of alert fatigue
- Propose workflow improvement strategies grounded in informatics principles
Marc D. Kohli, MD, FSIIM
Nick Said, MD, MBA
Lindsey Johnstone, MD, MS
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
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.
Webinar
What is Clinical & Imaging Informatics?
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.