Through literature review and collaborative design, we propose the Focus, Activity, Statistic, Scale type, and Reference (FASStR) framework to provide a systematic approach to health care operation ...
Data-driven decisions require data that is trustworthy, available, and timely. Upping the dataops game is a worthwhile way to offer business leaders reliable insights. Measuring quality of any kind ...
Digital health metrics promise to advance the understanding of impaired body functions, for example in neurological disorders. However, their clinical integration is challenged by an insufficient ...
Researchers Daniel Schwabe, Katinka Becker, Martin Seyferth, Andreas Klaß and Tobias Schaeffter from Berlin proposed a new data quality framework. (jamesteohart/Getty Images) An article recently ...
We developed a framework of five data quality dimensions (DQD; completeness, concordance, conformance, plausibility, and temporality). Participants signed a consent and Health Insurance Portability ...
The European Medicines Agency (EMA) has finalized a document with recommendations on using the European Medicines Regulatory Network (EMRN) Data Quality Framework (DQF) when submitting premarket ...
Ensuring excellent quality and outcomes is the essential goal of medical care. To achieve it, a multitude of quality metrics have been added to clinicians’ work. They include things such as ...
In my years managing business intelligence projects, the limitations of traditional reporting have become abundantly clear. Early in my career, senior leaders would often wait weeks for static reports ...
As the value-based care reimbursement environment grows, there is an increasing interest in linking additional physician compensation to the achievement of quality outcomes as measured by certain ...
Image quality plays an important role in the performance of deep neural networks (DNNs) that have been widely shown to exhibit sensitivity to changes in imaging conditions. Conventional image quality ...
Back in 2006, British mathematician Clive Humby stated that data was the new oil. Like oil, data isn’t useful in its raw state and must be refined, processed, and distributed to deliver value. Nearly ...
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