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Mattay RR, Davtyan K, Rudie JD, Mattay GS, Jacobs DA, Schindler M, Loevner LA, Schnall MD, Bilello M, Mamourian AC, Cook TS. Economic impact of selective use of contrast for routine follow-up MRI of patients with multiple sclerosis. J Neuroimaging 2022; 32:656-666. [PMID: 35294074 DOI: 10.1111/jon.12984] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 02/19/2022] [Accepted: 02/22/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND AND PURPOSE Imaging and autopsy studies show intracranial gadolinium deposition in patients who have undergone serial contrast-enhanced MRIs. This observation has raised concerns when using contrast administration in patients who receive frequent MRIs. To address this, we implemented a contrast-conditional protocol wherein gadolinium is administered only for multiple sclerosis (MS) patients with imaging evidence of new disease activity on precontrast imaging. In this study, we explore the economic impact of our new MRI protocol. METHODS We compared scanner time and Medicare reimbursement using our contrast-conditional methodology versus that of prior protocols where all patients received gadolinium. RESULTS For 422 patients over 4 months, the contrast-conditional protocol amounted to 60% decrease in contrast injection and savings of approximately 20% of MRI scanner time. If the extra scanner time was used for performing MS follow-up MRIs in additional patients, the contrast-conditional protocol would amount to net revenue loss of $21,707 (∼3.7%). CONCLUSIONS Implementation of a new protocol to limit contrast in MS follow-up MRIs led to a minimal decrease in revenue when controlled for scanner time utilized and is outweighed by other benefits, including substantial decreased gadolinium administration, increased patient comfort, and increased availability of scanner time, which depending on type of studies performed could result in additional financial benefit.
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Affiliation(s)
- Raghav R Mattay
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Karapet Davtyan
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jeffrey D Rudie
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Govind S Mattay
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Dina A Jacobs
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Matthew Schindler
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Laurie A Loevner
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Mitchell D Schnall
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Michel Bilello
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Alexander C Mamourian
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Department of Radiology, Penn State Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
| | - Tessa S Cook
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Radiologists' Increasing Role in Population Health Management: AJR Expert Panel Narrative Review. AJR Am J Roentgenol 2021; 218:7-18. [PMID: 34286592 DOI: 10.2214/ajr.21.26030] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Population health management (PHM) is the holistic process of improving health outcomes of groups of individuals through the support of appropriate financial and care models. Radiologists' presence at the intersection of many aspects of healthcare, including screening, diagnostic imaging, and image-guided therapies, provides significant opportunity for increased radiologist engagement in PHM. Further, innovations in artificial intelligence and imaging informatics will serve as critical tools to improve value in healthcare through evidence-based and equitable approaches. Given radiologists' limited engagement in PHM to date, it is imperative to define the specialty's PHM priorities so that the radiologists' full value in improving population health is realized. In this expert review, we explore programs and future directions for radiology in PHM.
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Santavicca S, Duszak R, Nicola GN, Golding LP, Rosenkrantz AB, Wernz C, Hughes DR. Evolving Radiologist Participation in Medicare Shared Savings Program Accountable Care Organizations. J Am Coll Radiol 2021; 18:1332-1341. [PMID: 34022135 DOI: 10.1016/j.jacr.2021.04.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 04/21/2021] [Accepted: 04/28/2021] [Indexed: 11/19/2022]
Abstract
PURPOSE The aim of this study was to temporally characterize radiologist participation in Medicare Shared Savings Program (MSSP) accountable care organizations (ACOs). METHODS Using CMS Physician and Other Supplier Public Use Files, ACO provider-level Research Identifiable Files, and Shared Savings Program ACO Public-Use Files for 2013 through 2018, characteristics of radiologist ACO participation were assessed over time. RESULTS Between 2013 and 2018, the percentage of Medicare-participating radiologists affiliated with MSSP ACOs increased from 10.4% to 34.9%. During that time, the share of large ACOs (>20,000 beneficiaries) with participating radiologists averaged 87.0%, and the shares of medium ACOs (10,000-20,000) and small ACOs (<10,000) with participating radiologists rose from 62.5% to 66.0% and from 26.3% to 51.6%, respectively. The number of physicians in MSSP ACOs with radiologists was substantially larger than those without radiologists (mean range across years, 573-945 versus 107-179). Primary care physicians constituted a larger percentage of the physician population for ACOs without radiologists (average across years, 66.3% versus 38.5%), and ACOs with radiologists had a higher rate of specialist representation (56.0% versus 33.7%). Beneficiary age, race, and sex demographics were similar among radiologist-participating versus nonparticipating ACOs. CONCLUSIONS In recent years, radiologist participation in MSSP ACOs has increased substantially. ACOs with radiologist participation are large and more diverse in their physician specialty composition. Nonparticipating radiologists should prepare accordingly.
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Affiliation(s)
- Stefan Santavicca
- School of Economics, Georgia Institute of Technology, Atlanta, Georgia.
| | - Richard Duszak
- Professor and Vice Chair of Radiology, Department of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia
| | - Gregory N Nicola
- Finance Chair and Board Member at Hackensack Meridian Health Partners Clinically Integrated Network; Executive leadership position at Hackensack Radiology Group, River Edge, New Jersey
| | - Lauren Parks Golding
- Executive Committee Chair, and Clinical Operations Chair, Triad Radiology Associates, Winston Salem, North Carolina
| | - Andrew B Rosenkrantz
- Professor of Radiology and Urology, Director of Prostate Imaging, Director of Health Policy, and Section Chief of Abdominal Imaging, Department of Radiology, NYU Langone Medical Center, New York, New York
| | - Christian Wernz
- Department of Data Science, University of Virginia Health System, Charlottesville, Virginia
| | - Danny R Hughes
- Professor and Vice Chair of Radiology, Department of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia; Professor, School of Economics, Georgia Institute of Technology, Director, Health Economics and Analytics Lab (HEAL), Atlanta, Georgia
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