Radiologist efficiency
Reduce friction in the reading environment and address workflow burden with the right tools.
AI & Technology Assessment Committee
Physician-led innovation and workflow optimization.
AITAC helps Quantum Radiology evaluate, prioritize, pilot, and support AI and imaging technology that improves clinical quality, operational efficiency, and patient care.
- Physician-led
- Clinically meaningful
- Operationally feasible
- Workflow-focused
Why this committee matters
AI and imaging technology now shape the reading environment.
AITAC exists to keep adoption practical, physician-driven, and aligned with real clinical and operational needs across Quantum Radiology.
Diagnostic quality
Focus on solutions that support better interpretation, safer processes, and stronger patient care.
Practice competitiveness
Help Quantum Radiology stay proactive as AI, reporting, and enterprise imaging continue to evolve.
Alignment
Coordinate with hospital, vendor, and IT ecosystems so adoption fits the broader operating environment.
Mission
Ensure new tools are clinically meaningful and operationally feasible.
AITAC provides physician-led guidance on AI and technology adoption and helps shape both near-term initiatives and the longer-term technology roadmap for Quantum Radiology.
What AITAC does
- Evaluates AI, reporting, and workflow tools
- Assesses clinical impact and ROI
- Advises leadership and IT
- Represents subspecialty and operational needs
- Guides pilot projects and rollout planning
What AITAC is not
- Not a purchasing authority
- Not a mandatory usage enforcement body
- Not a replacement for section governance
2026 priorities
Six focus areas for action.
Current work centers on digital tools, structured reporting, AI assessment, enterprise alignment, workflow strategy, and day-to-day efficiency improvements.
QR digital app rollout
Refine the Quantum Radiology app experience for radiologists and staff with emphasis on usability, reliability, and deployment readiness.
QR WEB APPStructured reporting automation
Advance integration of contrast data, ultrasound measurements, DEXA metrics, and other structured inputs into reporting workflows.
AI and vendor assessment
Review emerging AI platforms and workflow technologies for clinical value, operational fit, and measurable impact.
Enterprise imaging alignment
Coordinate with Wellstar enterprise imaging and AI initiatives so Quantum Radiology has input, visibility, and alignment.
PACS and workflow strategy
Monitor platform direction, interoperability, and workflow implications across the broader reading environment.
Hardware and software efficiency
Identify practical workstation, software, and peripheral improvements that make daily reading more efficient and less frustrating.
Evaluation framework
ECLAIR-inspired review criteria.
AITAC uses a structured evaluation model so that ideas are reviewed with consistent clinical, technical, and operational rigor.
Clinical need
Define the target users, the problem to solve, and the outcomes that matter.
Benefits and risks
Balance workflow gains, clinical value, operational burden, and potential downsides.
Validation and evidence
Review performance claims, patient-population relevance, and imaging context.
Integration and workflow
Check fit with PACS, RIS, reporting tools, modalities, and existing reading workflows.
IT readiness
Understand infrastructure, interoperability, security, and support requirements early.
Compliance
Confirm appropriate regulatory, data-protection, and implementation requirements.
ROI and sustainability
Evaluate cost, maintenance, support, and future-proofing before broader adoption.
Training and surveillance
Plan onboarding, error management, post-implementation monitoring, and improvement.
How AITAC works
From need identification to rollout support.
The committee helps move ideas from concept to practical implementation without losing sight of workflow realities.
Define the need
Clarify the clinical or operational problem and identify who is affected.
Review evidence
Assess clinical relevance, performance, risks, and expected value.
Check workflow fit
Evaluate interoperability, IT requirements, reporting impact, and user experience.
Pilot and measure
Guide targeted testing, define success metrics, and refine based on findings.
Advise and support
Provide implementation guidance, optimization feedback, and leadership recommendations.
Committee structure and cadence
Designed for representation, focus, and continuity.
AITAC is structured as a physician-led advisory body with recurring meetings and subspecialty input across the practice.
Representation
Membership is intended to reflect subspecialty perspectives and real workflow variation across the practice.
Leadership
The committee is chaired by physician leadership, with the option for vice-chair support as the work expands.
Decision support
AITAC informs strategy, pilots, and implementation planning while preserving section governance and operational accountability.
Strategic lens
Move at the pace of technology without losing clinical judgment.
AITAC helps Quantum Radiology stay proactive as AI expands from narrow tools toward broader workflow and interpretive support, while keeping governance radiologist-centric and practical.
Physician-led adoption
Clinical users remain at the center of evaluation, testing, and implementation.
Governance before scale
Use structured review and pilots before committing to broader operational change.
Build / buy / partner mindset
Choose the pathway that best fits clinical goals, feasibility, risk, and long-term value.