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 ...

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 ...

Athenahealth outlined four ways that healthcare practices can use quality metrics to improve performance outcomes in a recent athenaInsight blog post. 1. Mine data for insights: Analyze outcomes data ...

It has been 10 years since the Triple Aim was expanded to the Quadruple Aim to include clinician well-being in the workplace as a core health policy goal. Yet, how much national progress has been made ...

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 ...

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 ...

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 ...

Zehra Cataltepe is the CEO of TAZI.AI, an adaptive, explainable AI and GenAI platform for business users. She has 100+ AI papers & patents. In many industries, including banking, insurance and ...