Health Care Disparities in Radiology—A Review of the Current Literature

DeBenedectis, Carolynn M.; Spalluto, Lucy B.; Americo, Lisa; Bishop, Casey; Mian, Asim; Sarkany, David; Kagetsu, Nolan J.; Slanetz, Priscilla J.

doi:10.1016/j.jacr.2021.08.024

Cited by 28 publications

(8 citation statements)

References 92 publications

(113 reference statements)

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“…It becomes imperative to factor in both the existing social disparities and the emerging technological potentials. Geographic and ethnic variations can introduce significant inequalities in access to the healthcare system, especially in the realm of radiological services [ 39 ]. Hence, a thorough examination is necessary to deliberate and implement solutions that not only acknowledge but actively work toward enhancing inclusivity.…”

Section: Discussionmentioning

confidence: 99%

Reimagining Radiology: A Comprehensive Overview of Reviews at the Intersection of Mobile and Domiciliary Radiology over the Last Five Years

Lepri,

Oddi,

Gulino

et al. 2024

Bioengineering

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(Background) Domiciliary radiology, which originated in pioneering studies in 1958, has transformed healthcare, particularly during the COVID-19 pandemic, through advancements such as miniaturization and digitization. This evolution, driven by the synergy of advanced technologies and robust data networks, reshapes the intersection of domiciliary radiology and mobile technology in healthcare delivery. (Objective) The objective of this study is to overview the reviews in this field with reference to the last five years to face the state of development and integration of this practice in the health domain. (Methods) A review was conducted on PubMed and Scopus, applying a standard checklist and a qualification process. The outcome detected 21 studies. (Key Content and Findings) The exploration of mobile and domiciliary radiology unveils a compelling and optimistic perspective. Notable strides in this dynamic field include the integration of Artificial Intelligence (AI), revolutionary applications in telemedicine, and the educational potential of mobile devices. Post-COVID-19, telemedicine advances and the influential role of AI in pediatric radiology signify significant progress. Mobile mammography units emerge as a solution for underserved women, highlighting the crucial importance of early breast cancer detection. The investigation into domiciliary radiology, especially with mobile X-ray equipment, points toward a promising frontier, prompting in-depth research for comprehensive insights into its potential benefits for diverse populations. The study also identifies limitations and suggests future exploration in various domains of mobile and domiciliary radiology. A key recommendation stresses the strategic prioritization of multi-domain technology assessment initiatives, with scientific societies’ endorsement, emphasizing regulatory considerations for responsible and ethical technology integration in healthcare practices. The broader landscape of technology assessment should aim to be innovative, ethical, and aligned with societal needs and regulatory standards. (Conclusions) The dynamic state of the field is evident, with active exploration of new frontiers. This overview also provides a roadmap, urging scholars, industry players, and regulators to collectively contribute to the further integration of this technology in the health domain.

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Section: Discussionmentioning

confidence: 99%

Reimagining Radiology: A Comprehensive Overview of Reviews at the Intersection of Mobile and Domiciliary Radiology over the Last Five Years

Lepri,

Oddi,

Gulino

et al. 2024

Bioengineering

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“…In healthcare, studies continue to demonstrate the persistence of racial disparities in diagnostic imaging that predates AI applications. A systematic review of evidence shows disparities in non-AI diagnostic radiology, with decreased and inappropriate use of imaging for racial and gender minority groups 37 38. In the USA, members of racial minority groups disproportionately receive care at lower-quality hospitals that use lower-quality imaging technology 39.…”

Section: Discussionmentioning

confidence: 99%

Practical, epistemic and normative implications of algorithmic bias in healthcare artificial intelligence: a qualitative study of multidisciplinary expert perspectives

et al. 2023

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BackgroundThere is a growing concern about artificial intelligence (AI) applications in healthcare that can disadvantage already under-represented and marginalised groups (eg, based on gender or race).ObjectivesOur objectives are to canvas the range of strategies stakeholders endorse in attempting to mitigate algorithmic bias, and to consider the ethical question of responsibility for algorithmic bias.MethodologyThe study involves in-depth, semistructured interviews with healthcare workers, screening programme managers, consumer health representatives, regulators, data scientists and developers.ResultsFindings reveal considerable divergent views on three key issues. First, views on whether bias is a problem in healthcare AI varied, with most participants agreeing bias is a problem (which we call the bias-critical view), a small number believing the opposite (the bias-denial view), and some arguing that the benefits of AI outweigh any harms or wrongs arising from the bias problem (the bias-apologist view). Second, there was a disagreement on the strategies to mitigate bias, and who is responsible for such strategies. Finally, there were divergent views on whether to include or exclude sociocultural identifiers (eg, race, ethnicity or gender-diverse identities) in the development of AI as a way to mitigate bias.Conclusion/significanceBased on the views of participants, we set out responses that stakeholders might pursue, including greater interdisciplinary collaboration, tailored stakeholder engagement activities, empirical studies to understand algorithmic bias and strategies to modify dominant approaches in AI development such as the use of participatory methods, and increased diversity and inclusion in research teams and research participant recruitment and selection.

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“…How will these potential trends worsen the existing healthcare disparities experienced by people of color, rural populations, and women? Recent reports suggest these disparities can be tracked even for shoppable service lines such as imaging (DeBenedectis et al, 2022). The downstream effects of provider responses to legislation thus represent an important area of research for marketing scholars.…”

Section: Implications For Marketing Providers and Public Healthmentioning

confidence: 99%

Examining legislation and trends in healthcare pricing: A research agenda for consumer well‐being

Popovich

Frias

2023

Journal of Consumer Affairs

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Healthcare costs continue to rise considerably in the United States; one proposed solution is to give consumers more choices regarding their healthcare decisions. Recent legislation has the aim of making healthcare pricing more transparent and providing consumers with an increased understanding of costs. This article offers a research agenda for studying healthcare price transparency and provides an overview of several potential implications for consumers. The authors review the recent legislation and its intended impact on consumer shopping in the healthcare market. Research propositions are focused on healthcare as a unique decision context, the power and peril of price information, the emerging healthcare information market, and individual differences in consumers. The authors also illustrate some of these issues with a price transparency dataset. Opportunities for future research and implications for marketing, healthcare providers, and policymakers are offered.

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Health Care Disparities in Radiology—A Review of the Current Literature

Cited by 28 publications

References 92 publications

Reimagining Radiology: A Comprehensive Overview of Reviews at the Intersection of Mobile and Domiciliary Radiology over the Last Five Years

Reimagining Radiology: A Comprehensive Overview of Reviews at the Intersection of Mobile and Domiciliary Radiology over the Last Five Years

Practical, epistemic and normative implications of algorithmic bias in healthcare artificial intelligence: a qualitative study of multidisciplinary expert perspectives

Examining legislation and trends in healthcare pricing: A research agenda for consumer well‐being

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