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 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.
Participants will follow an imaging order from entry in the EHR through transmission to RIS, modality acquisition, PACS storage, reporting, and the return of results. Core interoperability standards (e.g., DICOM, HL7, and FHIR) will be explained in clinician-relevant terms, with a focus on how infrastructure design impacts data integrity, workflow reliability, analytics capability, and AI readiness.
Objectives
- Describe the end-to-end flow of clinical and imaging data across core systems
- Differentiate the functions of EHR, RIS, PACS, VNA, and data warehouses
- Explain the roles of DICOM, HL7, and FHIR in enabling interoperability
- Identify common failure points in data exchange and their clinical consequences
- Recognize how infrastructure decisions impact efficiency, reporting, and research capability
J. Raym Geis, MD, FSIIM
Teri Sippel Schmidt, MS, FSIIM
Satvik Tripathi
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
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.