Economic challenges of using innovative medical devices in major public health pathologies: Example of acute ischemic stroke management by mechanical thrombectomy

Nativel, Fabien; Détraz, Lili; Mauduit, Nicolas; Riche, V-P; Desal, Hubert; Grimandi, G.

doi:10.1016/j.respe.2019.08.003

Cited by 3 publications

(1 citation statement)

References 24 publications

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“…It is well known that prospective payment systems do not effectively consider the additional costs associated with innovative technologies 41 – 45 . Prospective payment systems use historical cost data to determine payments for the service prospectively, without adequately considering the changes to the cost structure that innovative technologies may bring 46 .…”

Section: A Framework To Evaluate Whether To Reimburse Radiology Ai Al...mentioning

confidence: 99%

To pay or not to pay for artificial intelligence applications in radiology

Lobig,

Subramanian,

Blankenburg

et al. 2023

npj Digit. Med.

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Artificial Intelligence-supported digital applications (AI applications) are expected to transform radiology. However, providers need the motivation and incentives to adopt these technologies. For some radiology AI applications, the benefits of the application itself may sufficiently serve as the incentive. For others, payers may have to consider reimbursing the AI application separate from the cost of the underlying imaging studies. In such circumstances, it is important for payers to develop a clear set of criteria to decide which AI applications should be paid for separately. In this article, we propose a framework to help serve as a guide for payers aiming to establish such criteria and for technology vendors developing radiology AI applications. As a rule of thumb, we propose that radiology AI applications with a clinical utility must be reimbursed separately provided they have supporting evidence that the improved diagnostic performance leads to improved outcomes from a societal standpoint, or if such improved outcomes can reasonably be anticipated based on the clinical utility offered.

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Section: A Framework To Evaluate Whether To Reimburse Radiology Ai Al...mentioning

confidence: 99%

To pay or not to pay for artificial intelligence applications in radiology

Lobig,

Subramanian,

Blankenburg

et al. 2023

npj Digit. Med.

View full text Add to dashboard Cite

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From electrophysiological exploration to management of heart arrhythmias: Economic analysis of practices in a high-volume French hospital over two different time periods

Nativel¹,

Barge²,

Prévost³

et al. 2021

Annales Pharmaceutiques Françaises

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[Retracted] A Study on Synergistic Development of Innovative Public Management and Economic Growth Based on Big Data

Guo

2022

Mobile Information Systems

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Since the twenty-first century, the Internet of Things technology has developed rapidly, and its impact on China’s economy and society is far-reaching, and its significance is also far-reaching. This makes more and more scholars start to pay attention to the related issues of the Internet of Things and economic development. The Internet of Things provides a superior information platform for various economic entities, enabling economic exchanges to transcend the boundaries of time and space. The IoT generates a lot of big data, and it is not easy to get valuable insights from the huge amount of data in various formats, ensuring that sensors are working properly and data is transmitted securely and processed efficiently. In order to study the role of the Internet of Things in promoting economic growth, clarify the status of the Internet of Things in the national economy and explore public management innovation as a change in actual social relations. This paper analyzes the application of the Internet of Things technology in public management. In order to deal with the massive multisource heterogeneous data involved in public management, this paper proposes a resource optimization scheduling algorithm for differentiated distributed storage systems and focuses on the analysis of China’s economic growth in recent years. Through experiments, it is found that from 2014 to 2020, China’s economy will continue to maintain rapid growth, with a GDP of 101,5986 billion yuan. Since 2014, the number and quality of R&D personnel in China have increased significantly. In 2020, due to the resumption of growth in corporate profits in the second half of the year, the cumulative decline in revenue will result in a decline in domestic value-added tax by 8.9% and corporate income tax by 2.4%.

show abstract

Economic challenges of using innovative medical devices in major public health pathologies: Example of acute ischemic stroke management by mechanical thrombectomy

Cited by 3 publications

References 24 publications

To pay or not to pay for artificial intelligence applications in radiology

To pay or not to pay for artificial intelligence applications in radiology

From electrophysiological exploration to management of heart arrhythmias: Economic analysis of practices in a high-volume French hospital over two different time periods

[Retracted] A Study on Synergistic Development of Innovative Public Management and Economic Growth Based on Big Data

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