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Journal of Imaging Informatics in Medicine

Published in:

01-06-2013

Creating Accountability in Image Quality Analysis. Part 2: Medical Imaging Accreditation

Author: Bruce I. Reiner

Published in: Journal of Imaging Informatics in Medicine | Issue 3/2013

Excerpt

The Medicare Improvements for Patients and Providers Act of 2008 (MIPPA) requires all non-hospital providers of advance diagnostic imaging (ADI) submitting technical reimbursement claims to Medicare to undergo a formal accreditation in order to qualify for continued Medicare reimbursement (http://www.govtrack.us/congress/bills/110/hr6331/text). ADI includes MRI, CT, and nuclear medicine imaging and does not include X-ray, ultrasound, and fluoroscopy. Mammography is covered separately by the Mammography Quality Standards Act (http://www.fda.gov/CDRH/MAMMOGRAPHY). …

Iglehart JK: Health insurers and medical imaging policy—a work in progress. NEJM 10:1030–1037, 2009CrossRef

Reiner B, Siegel E, Flagle C, et al: Impact of filmless imaging on utilization of radiology services. Radiology 215:163–167, 2000PubMed

Maitino AJ, Levin DC, Parker L, et al: Practice patterns of radiologists and nonradiologists in utilization of noninvasive diagnostic imaging among the Medicare population 1993–1999. Radiology 3:795–801, 2003CrossRef

Reiner B: New strategies for medical data mining. Part 1: accountable and transparent reimbursement. J Am Coll Radiol 7:975–979, 2010PubMedCrossRef

Reiner BI: Quantifying radiation safety and quality in medical imaging. Part III: the quality assurance scorecard. J Am Coll Radiol 10:694–700, 2009CrossRef

Reiner BI: Quantifying radiation safety and quality in medical imaging. Part II: the radiation scorecard. J Am Coll Radiol 9:615–619, 2009CrossRef

Reiner BI: Quantifying radiation safety and quality in medical imaging. Part IV: the medical imaging agent scorecard. J Am Coll Radiol 2:120–124, 2010CrossRef

Schaefer-Prokop C, Neitzel U, Venema HW, et al: Digital chest radiography: an update on modern technology, dose containment, and control of image quality. Eur Radiol 9:1818–1830, 2008CrossRef

Don S: Pediatric digital radiography summit overview: state of confusion. Pediatr Radiol 41:567–572, 2011PubMedCrossRef

10.

Goshe MJ, Applegate KE, Boylan J, et al: The Image Gently campaign: working together to change practice. AJR 2:273–274, 2008

11.

Reiner B, Siegel E: Decommoditizing radiology. J Am Coll Radiol 3:167–170, 2009CrossRef

12.

Reiner BI: Medical imaging data reconciliation. Part 2: clinical order entry/imaging report data reconciliation. J Am Coll Radiol 10:720–724, 2011CrossRef

13.

Moffett ML, Bohara A: Hospital quality oversight by the Joint Commission on the Accreditation of Healthcare Organizations. East Econ J 31:629–647, 2005

14.

Dietrick JA, Weaver MT, Merrick HW: Pass/fail grading: a disadvantage for students applying for residency. Am J Surg 1:63–66, 1991CrossRef

15.

Miller BM, Kalet A, VanWoerkom RC, et al: Can a pass/fail grading system adequately reflect student progress? Virtual Mentor 11:842–851, 2009PubMed

Title: Creating Accountability in Image Quality Analysis. Part 2: Medical Imaging Accreditation
Author: Bruce I. Reiner
Publication date: 01-06-2013
Publisher: Springer-Verlag
Published in: Journal of Imaging Informatics in Medicine / Issue 3/2013
Print ISSN: 2948-2925
Electronic ISSN: 2948-2933
DOI: https://doi.org/10.1007/s10278-013-9605-8

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Creating Accountability in Image Quality Analysis. Part 2: Medical Imaging Accreditation

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