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Erschienen in: Journal of Digital Imaging 3/2017

09.01.2017

Value-Based Assessment of Radiology Reporting Using Radiologist-Referring Physician Two-Way Feedback System—a Design Thinking-Based Approach

verfasst von: Faiq Shaikh, Kenneth Hendrata, Brian Kolowitz, Omer Awan, Rasu Shrestha, Christopher Deible

Erschienen in: Journal of Imaging Informatics in Medicine | Ausgabe 3/2017

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Abstract

In the era of value-based healthcare, many aspects of medical care are being measured and assessed to improve quality and reduce costs. Radiology adds enormously to health care costs and is under pressure to adopt a more efficient system that incorporates essential metrics to assess its value and impact on outcomes. Most current systems tie radiologists’ incentives and evaluations to RVU-based productivity metrics and peer-review-based quality metrics. In a new potential model, a radiologist’s performance will have to increasingly depend on a number of parameters that define “value,” beginning with peer review metrics that include referrer satisfaction and feedback from radiologists to the referring physician that evaluates the potency and validity of clinical information provided for a given study. These new dimensions of value measurement will directly impact the cascade of further medical management. We share our continued experience with this project that had two components: RESP (Referrer Evaluation System Pilot) and FRACI (Feedback from Radiologist Addressing Confounding Issues), which were introduced to the clinical radiology workflow in order to capture referrer-based and radiologist-based feedback on radiology reporting. We also share our insight into the principles of design thinking as applied in its planning and execution.
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Metadaten
Titel
Value-Based Assessment of Radiology Reporting Using Radiologist-Referring Physician Two-Way Feedback System—a Design Thinking-Based Approach
verfasst von
Faiq Shaikh
Kenneth Hendrata
Brian Kolowitz
Omer Awan
Rasu Shrestha
Christopher Deible
Publikationsdatum
09.01.2017
Verlag
Springer International Publishing
Erschienen in
Journal of Imaging Informatics in Medicine / Ausgabe 3/2017
Print ISSN: 2948-2925
Elektronische ISSN: 2948-2933
DOI
https://doi.org/10.1007/s10278-016-9940-7

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