Medical physics consulting for radiology AI, registry participation, and clinical data analysis

KJMedPhys helps hospitals, imaging centers, and radiology practices develop and implement processes for commissioning and monitoring AI tools, maximize registry participation, and gain insights into their clinical data.

We build. You own. I'm here for any questions that come up.

Led by A. Kyle Jones, PhD, DABR, FAAPM, FSIR, FACR — chair of the American College of Radiology National Radiology Data Registry, past chair of the ACR Dose Index Registry, and a board-certified diagnostic medical physicist with 21 years in clinical imaging. More about me

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Services

Radiology AI implementation guidance

Buying an AI tool is the easy part. Confirming that it works on your scanners, protocols, and patient population, and that it keeps working after go-live, takes a plan. KJMedPhys provides practical guidance at each stage.

  • Evaluating and comparing AI products against your clinical needs and IT environment
  • Local acceptance testing on your own imaging data before go-live
  • Setting up an AI governance group, a tool inventory, and written policies
  • Monitoring performance after deployment to catch drift, with clear criteria for pausing a tool

Guidance is aligned with the ACR–SIIM Practice Parameter for Imaging AI and supports organizations pursuing ACR ARCH-AI recognition.

National Radiology Data Registry participation, reports, and analysis

The NRDR, which includes the ACR Dose Index Registry, is the gold standard for benchmarking your CT, fluoroscopy, and digital radiography dose indices, lung cancer screening, and mammography clinical data against peer organizations across the country. Its feedback reports are detailed but dense. KJMedPhys turns them into clear findings and next steps.

  • Process development including data upload, exam name mapping, and report generation
  • Plain-language summaries of your NRDR and DIR feedback reports for leadership and radiation safety committees
  • Review of dose alerts and outliers to support Joint Commission diagnostic imaging requirements
  • Identifying exams and protocols above national benchmarks and what is driving the differences
  • Ensuring consistent exam-name mapping so your comparisons are valid
  • Tracking results across reporting periods after protocol changes

Clinical data analysis

Radiology data systems, including PACS and radiation dose index monitoring (RDIM) systems collect enormous amounts of data. KJMedPhys helps you develop processes that turn that data into reports and decisions.

  • Recurring reports by scanner, protocol, site, or patient size
  • Review of dose alerts and outliers to support Joint Commission diagnostic imaging requirements
  • CT dose and image quality analysis to prepare for the CMS CT Excessive Radiation Dose or Inadequate Image Quality measure
  • Evidence from your own exams to guide CT protocol optimization

How it works

  1. Introductory call

    A short conversation about your organization, what you're trying to accomplish, and your timeline.

  2. Written proposal

    A clear scope with deliverables, schedule, and cost, so you know exactly what you're getting.

  3. The work

    Regular check-ins, and deliverables your team keeps: policies and procedures, templates, reports, checklists, and presentations for your committees.

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Whether you're evaluating your first AI tool, struggling to find value in registry participation, or trying to make sense of your dose data, a short call is the quickest way to find out whether KJMedPhys can help.

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