Computerized decision making in myocardial perfusion SPECT: The new era in nuclear cardiology?

Trägårdh, Elin; Carlsson, Marcus; Edenbrandt, Lars

doi:10.1007/s12350-014-0041-z

Cited by 3 publications

(1 citation statement)

References 20 publications

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“…8 With the advent of electronic medical records, patient-related data have not only become more freely available, but sometimes increasingly abstruse. 9 Structured reporting can aid in reporting findings that eventually are necessary to improve data collection, consistency in reporting, and quality assurance, as well as optimize patient care and promote patient safety. 10 More than just facts, though, our reports should interpret these findings for clinicians.…”

Section: See Related Article Pp 1878-1885mentioning

confidence: 99%

Nuclear cardiology reporting: Leaving an impression

Holly

2019

Journal of Nuclear Cardiology

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Section: See Related Article Pp 1878-1885mentioning

confidence: 99%

Nuclear cardiology reporting: Leaving an impression

Holly

2019

Journal of Nuclear Cardiology

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Trials of Quality Improvement in Imaging

Chinnaiyan¹,

Weiner²

2017

JACC: Cardiovascular Imaging

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Cardiovascular imaging plays a central role in the diagnosis and treatment of cardiovascular disease. Recently, increased emphasis has been placed on quality in cardiovascular imaging, and it is becoming a central priority for various stakeholders, including patients, physicians, and payers. The changing health care landscape and associated challenges imposed on cardiac imagers, including reductions in reimbursement and growing need for pre-authorization, have also helped bring quality metrics to the forefront. Continuous quality improvement initiatives provide the framework for the team of physicians, technical staff members, administrators, and other health care professionals to deliver high-quality care. Efforts to improve quality in cardiac imaging have started to form the foundation for numerous research studies in this arena, and although few in number, randomized control trials have begun to emerge. This review highlights quality improvement studies focusing on appropriate use education, reporting, and radiation dose reduction in cardiovascular imaging.

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The imperative need to develop guidelines to manage human versus machine intelligence

Kennedy¹,

Philbin²

2018

Front. Eng

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Machine intelligence is increasingly entering roles that were until recently dominated by human intelligence. As humans now depend upon machines to perform various tasks and operations, there appears to be a risk that humans are losing the necessary skills associated with producing competitively advantageous decisions. Therefore, this research explores the emerging area of human versus machine decision-making. An illustrative engineering case involving a joint machine and human decision-making system is presented to demonstrate how the outcome was not satisfactorily managed for all the parties involved. This is accompanied by a novel framework and research agenda to highlight areas of concern for engineering managers. We offer that the speed at which new human-machine interactions are being encountered by engineering managers suggests that an urgent need exists to develop a robust body of knowledge to provide sound guidance to situations where human and machine decisions conflict. Human-machine systems are becoming pervasive yet this research has revealed that current technological approaches are not adequate. The engineering insights and multi-criteria decision-making tool from this research significantly advance our understanding of this important area.

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Computerized decision making in myocardial perfusion SPECT: The new era in nuclear cardiology?

Cited by 3 publications

References 20 publications

Nuclear cardiology reporting: Leaving an impression

Nuclear cardiology reporting: Leaving an impression

Trials of Quality Improvement in Imaging

The imperative need to develop guidelines to manage human versus machine intelligence

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