Imaging Informatics Developers
Imaging Informatics and healthcare Developers are responsible for creating and maintaining software applications and systems that support the healthcare industry. They design and build digital solutions to streamline healthcare processes, enhance patient care, and improve overall efficiency. They collaborate with healthcare providers, administrators, and IT teams to ensure that these applications meet regulatory compliance, data security, and interoperability standards. Their role is crucial in advancing medical technology, enabling data-driven decision-making, and ultimately contributing to the delivery of high-quality healthcare services to patients worldwide.
SIIM is where developers from across the enterprise come to find like-minded professionals who thrive on improving health and solving challenges together with informatics. #YouBelongAtSIIM!
CIIP
Application Developer
Software Developer
API Developer
UX/UI Designer
Integration Engineer
Clinical Informatics Specialist
Mobile App Developer
Quality Assurance (QA) Engineer
Member Spotlight
Events
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Webinars
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.
Webinar
Seamless Integration of Point-of-Care Ultrasound: IHE Encounter-Based Imaging Workflow
Point-of-Care Ultrasound (POCUS) is growing fast, but managing images and documentation can be challenging. This webinar explores how the IHE Encounter-Based Imaging Workflow (EBIW) standard streamlines POCUS by ensuring accurate records, supporting compliance, and enabling seamless integration with PACS and EHRs—improving efficiency and patient care.
Webinar
Guardrails for Growth: AI Governance in Medical Imaging
AI is transforming medical imaging—but are you ready to govern it? Join us to explore practical, real-world strategies for responsible AI governance, from bias mitigation and safety to regulatory alignment. Learn how to build oversight teams, set internal policies, and scale AI responsibly across your enterprise.
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.
Resource
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…
Resource
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…