IRS is excited to showcase QADRIS, our newest software development, at the annual Radiation Protection Supervisors course, held at the Jurys Inn, Liverpool Waterfront.
Delegates will be treated to a first look at IRS’s vision for the future; a unified Patient Dose and Quality Assurance architecture. QADRIS embodies over 30 years of practical experience performing Patient Dose and clinical audits, coupled with 25 years of successful innovation in the field of regional and large radiographic dataset analyses.
Through utilisation and development of frontier technology, as well as a close working partnership with our customers, IRS are proud to offer the medical sector a more efficient, accessible and transparent process for Patient Dose audit that transforms the potential of large scale data analytics.
QADRIS will allow customers to effectively manage both their Patient Dose data, as well as their routine QA data. A comprehensive range of dose audit reports and associated analyses can be produced for all x-ray imaging modalities for individual patients, groups of patients or whole patient populations. Equally, Patient Doses may be benchmarked against an extremely large number of examination records derived from multiple hospital sites and items of x-ray equipment.
As well as providing detailed Patient Dose audit reports, QADRIS can analyse and generate reports on a variety of variables. These include:
- X-ray room and operator workloads,
- Degree of IRMER 2000 compliance,
- Timeline analyses of QA results, e.g. x-ray tube outputs and AEC performance.
All functionality is aimed at underpinning the Patient Dose audit findings in order to support optimisation.
QADRIS utilises a unique, peer-reviewed methodology (references provided below) for IT-driven Patient Dose audits, employing electronic X-ray examination records. This has allowed IRS to generate Patient Dose audits on a huge scale. For example, the IRS dose data repository at present contains over 2.5 million anonymised examination records, with approximately 200,000 records for CT alone.
IRS wishes all who attend both the RPS course and upcoming QADRIS showcases a fantastic visit to Liverpool and hope to see you again in the future.
For more information on QADRIS, or any of IRS’s Education and Training courses, including our bespoke training course service, please contact firstname.lastname@example.org, or visit the Education and Training page.
If you or your organisation would like to participate in IRS’s QADRIS field testing programme, as well as associated research and development initiatives in the field of patient dose and optimisation, please contact James Moores, Business Development Officer email@example.com.
Central dose data management and analysis in IT-driven radiation protection strategies. Radiation Protection Dosimetry, Vol 114, Nos 1-3, 135-142, (2005). M.Ward, D.Hughes, P.Connolly and B.M.Moores.
IT-driven patient safety at the heart of radiology service improvement. Medical Informatics and the Internet in Medicine, Vol 30, No 2, 123-133. (2005). M.Moores, D.Anwyl, P.A.Connolly, L.Anslow, H.Monaghan, D.Hughes, M.Ward and P.Charnock.
Web based tools for quality assurance and radiation protection in diagnostic radiology. Proceedings of 3rd Malmo Conference on Medical Imaging, June 2009. B.M.Moores, P.Charnock and M. Ward. Radiation Protection Dosimetry, Vol 139, Nos 1-3, 422 – 429, (2010); doi: 10.1093/rpd/ncq004.
Patient dose audit of radiology departments across Ghana. Proceedings of International Symposium on Standards, Applications and Quality Assurance in Medical Radiation Dosimetry. Fazakerley J., Ofori E., Scutt D., Ward M. and Moores B M. International Atomic Energy Agency, IAEA-CN-182, 369-371, (2010).
Qualifying the use of RIS data for patient dose by comparison with DICOM header data. Wilde R., Charnock P., McDonald S. and Moores B. M. Rad Prot Dosim Vol 147, Nos 1-2, 329-332 (2011).
Establshing local and regional DRLs by means of electronic radiographical x-ray examination records. P.Charnock, B.M.Moores and R.Wilde. Radiation Protection Dosimetry, 57(1), 62-72, (2013).
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