eSyM: An Electronic Health Record–Integrated Patient-Reported Outcomes–Based Cancer Symptom Management Program Used by Six Diverse Health Systems The Medicare Access and CHIP Reauthorization Act of ...

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 ...

Regulatory changes to the nursing home industry for this year may seem small individually, but together, they reflect broader initiatives sought by the ...

Zehra Cataltepe is the CEO of TAZI.AI an adaptive, explainable Machine Learning platform. She has more than 100 papers and patents on ML. First of all, data quality should always be measured in ...

This article is the latest in the Health Affairs Forefront series, Supplemental Benefits in Medicare Advantage, featuring analysis and discussion from all stakeholder perspectives with the goal of ...

As the US charts its course through the next political era, it is crucial that we boldly allocate resources and prioritize what truly impacts patients. When faced with complexity, feasibility concerns ...

Large language models, a form of artificial intelligence, are generating a lot of hype in healthcare circles, primarily because of their potential to transform and improve various aspects of ...

Learn the definition of data quality and discover best practices for maintaining accurate and reliable data. Data quality refers to the reliability, accuracy, consistency, and validity of your data.

Rates of potentially preventable hospital admissions and readmissions, which were first envisioned as an indicator of access to timely and appropriate ambulatory care for uninsured patients more than ...

What makes a good public school—and how would we know it? While these questions may appear simple to answer—given all the publicly available data and the growing number of online school-rating ...

Measurement does not become useful because it moves faster. According to the report, it becomes useful when teams trust what they are seeing and understand its limits. AI may support that outcome, but ...