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Danica Marinac‐Dabic

Biographic Data

ID8450336
NAMEDanica Marinac‐Dabic
GIVEN NAMESDanica
FAMILY NAMEMarinac‐Dabic
SIGNATUREDABIC D M
AFFILIATIONSCenter for Devices and Radiological Health
ORCID0000-0002-1824-0104
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2010
LATEST PUBLICATION YEAR2023
H-INDEX0
  • A Quantitative Framework to Identify and Prioritize Opportunities in Biomedical Product Innovation

    Open Access•Laura E Gressler, Kenyon Crowley et al.•ARTICLE•JAMA Health Forum•2023

    In this cross-sectional pilot study, we developed and implemented a data-driven, proof-of-concept model that can help identify, quantify, and prioritize opportunities for biomedical product innovation. Quantifying the relative alignment between biomedical product innovation, public health burden, and health care cost may help identify and prioritize investments that can have the greatest public health benefit

  • A Framework for Evidence Evaluation and Methodological Issues in Implantable Device Studies

    Art Sedrakyan, Danica Marinac-Dabic et al.•ARTICLE•Medical Care•2010•References: 29

    Implantable medical devices (IMD) are frequently used in interventional medicine. There are a host of complex methodological issues to consider in conducting device studies. A general conceptual framework for evidence evaluation is needed to help investigators conduct comparative studies in this setting. It is known that clinical trials of implants require study design planning and creative execution that are quite different from those in pharmac…

  • Rethinking Analytical Strategies for Surveillance of Medical Devices

    Sharon‐Lise T Normand, Sharon-Lise Normand et al.•ARTICLE•Medical Care•2010•References: 14

    BACKGROUND: Randomized trials that sometimes serve as the basis for device approval are small, short term, and generalizable to an increasingly smaller percentage of patients. Some of the most common and challenging devices are those used in hip replacement. Artificial hips are implanted in thousands to alleviate pain caused by noninflammatory joint disease and to restore patient mobility. During 2004 in the United States, although 68% of hospita…

No prominent works on this page.

  • A Framework for Evidence Evaluation and Methodological Issues in Implantable Device Studies

    Art Sedrakyan, Danica Marinac-Dabic et al.•ARTICLE•Medical Care•2010•References: 29

    Implantable medical devices (IMD) are frequently used in interventional medicine. There are a host of complex methodological issues to consider in conducting device studies. A general conceptual framework for evidence evaluation is needed to help investigators conduct comparative studies in this setting. It is known that clinical trials of implants require study design planning and creative execution that are quite different from those in pharmac…

  • Rethinking Analytical Strategies for Surveillance of Medical Devices

    Sharon‐Lise T Normand, Sharon-Lise Normand et al.•ARTICLE•Medical Care•2010•References: 14

    BACKGROUND: Randomized trials that sometimes serve as the basis for device approval are small, short term, and generalizable to an increasingly smaller percentage of patients. Some of the most common and challenging devices are those used in hip replacement. Artificial hips are implanted in thousands to alleviate pain caused by noninflammatory joint disease and to restore patient mobility. During 2004 in the United States, although 68% of hospita…

  • A Quantitative Framework to Identify and Prioritize Opportunities in Biomedical Product Innovation

    Open Access•Laura E Gressler, Kenyon Crowley et al.•ARTICLE•JAMA Health Forum•2023

    In this cross-sectional pilot study, we developed and implemented a data-driven, proof-of-concept model that can help identify, quantify, and prioritize opportunities for biomedical product innovation. Quantifying the relative alignment between biomedical product innovation, public health burden, and health care cost may help identify and prioritize investments that can have the greatest public health benefit

Medicine (3 works) · Computer Science (2 works) · Health Systems, Economic Evaluations, Quality of Life (2 works) · Advanced Causal Inference Techniques (1 works) · Alternative medicine (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence (1 works) · Biomedical and Engineering Education (1 works) · Business (1 works) · Comparative effectiveness research (1 works)

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