Quality metrics are an objective, verifiable number. Unlike subjective data, the number is both quantifiable and can be confirmed. The potential downside to quality metrics is that the data may be ...

This Forefront article synthesizes lessons from widely adopted health care quality metrics to inform future quality metric design and development. The evolution of health care quality metrics over the ...

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 ...

Data quality in the modern economy, where data-driving action is critical to business success, can no longer be perceived as mere tech detail. Business leaders increasingly use data to make strategic ...

This study presents an example of a population health initiative in a limited-resource primary care setting that led to significant improvements in preventive care quality metrics in the context of ...

Table 1 provides a taxonomy of the most commonly used video quality metrics. On the extreme left is subjective Mean Opinion Score (MOS) computed with actual viewers rating videos on a scale from 1 to ...

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 ...

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 ...