Imaging IT
Imaging IT Professionals are responsible for managing and oversight for clinical and research imaging applications, including navigating the evolving artificial intelligence landscape. They are proficient in identifying solutions to workflow issues and collaborating with developers or vendors to ensure proper implementation. Their role might include administering exams, managing projects, leading a team, and coming up with new ideas to ensure their group has a balanced work/home life while also being a high- performing, innovative team. They often aspire to obtain a senior leadership role in IT, where they can help coach teammates, implement innovative ideas, and possibly become an adjunct professor.
SIIM is where Imaging IT from across the imaging enterprise come to find like-minded professionals who thrive on improving health and solving challenges together with informatics. #YouBelongAtSIIM!
CIIP
Systems Analyst
Radiology Technologist
Clinical Applications Specialist
Epic Analyst
Clinical Data Engineer
PACS/RIS Administrator
Imaging Informatics Director
Enterprise Imaging Architect
Member Spotlight
Events
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SIIM-CAIMI25
Mark your calendar for SIIM’s AI Conference! Join us on Oct 20-21 in Irvine, CA and be part of advancing…
event
Call for Abstracts
Showcase your work in imaging informatics! We invite Applied Informatics Abstracts highlighting innovative applications, quality-driven projects, and workflow improvements (vendor submissions not…
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SIIM26 Annual Meeting + InformaticsTECH Expo
You Belong at SIIM26 Rediscover your drive. Reconnect with your peers. Reinvest in your career. At SIIM26 in Pittsburgh, explore…
Webinars
Webinar
Global Health AI for Radiology
This webinar will explore the transformative potential of artificial intelligence (AI) in radiology to advance global health, with a focus…
Webinar
From Compliance to Clinical Value: Modern Approaches to Dose Management
As healthcare organizations strive to balance regulatory compliance with the realities of busy clinical environments, the ability to integrate dose…
Webinar
Pixel Protectors: Security Strategies for Medical Imaging Devices, a continuing conversation for CyberSecurity Month
This webinar uses participant polling to engage in discussion on security preparedness, specifically focused on the need to implement and maintain a Zero Trust architecture and framework.
Learning
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Landscape of Imaging Informatics
Imaging informatics has been an established profession in Radiology since the introduction of Picture Archiving and Communication Systems (PACS) for…
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Clinical Anatomy and Systems On-Demand
This on-demand course offers students a comprehensive understanding of human anatomy, focusing on body parts and their functions across systems,…
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Healthcare IT Fundamentals On-Demand
This on-demand course aims to provide students with a basic understanding of the hardware and software components involved in healthcare…
Resources
Resource
Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM
In a groundbreaking collaboration led by the SIIM Machine Learning Education Subcommittee, the American Association of Physicists in Medicine (AAPM), Radiological Society of North America (RSNA), and Society for Imaging Informatics in Medicine (SIIM) are proud to announce the simultaneous co-publication of “Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM” in these three flagship journals: Medical Physics, Radiology: Artificial Intelligence, and the Journal of Imaging Informatics in Medicine (JIIM).
The society-endorsed syllabus outlines critical competencies for four key groups: clinical users, technology purchasers, clinical collaborators, and AI developers. Designed as a flexible framework, it allows institutions to adapt content while ensuring consistent instruction on AI fundamentals, clinical integration, regulatory requirements, and ethical considerations.
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Multi-Agent AI and Ethics in Radiology: Navigating the Trust Crisis in Advanced Medical Systems
(Part 1)
Part 1: The Medical AI Background: From Simple Tools to Complex Systems Picture this: you’re a radiologist examining a chest…
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Multi-Agent AI and Ethics in Radiology: Navigating the Trust Crisis in Advanced Medical Systems
(Part 2)
Part 2: Framework, Regulation & Future Directions Additions Ethical Considerations in Medical AI Deployment The deployment of multi-agent AI systems…