Presenters from CMS and the CDC explored the importance of standardizing health equity data collection at the 2024 CMS Health Equity Conference. Meagan Khau, MHA, director of the Data Analytics & ...
Qualitative data collection in social research encompasses a range of methods designed to capture rich, contextualised insights into human experiences, meanings and social processes. Core approaches ...
April 16, 2025 - The advent of new software applications may pose challenges for collections in the course of discovery, in addition to the challenges faced at the identification and preservation ...
AI is helping agencies create a common operating picture by bringing together information from multiple systems and ...
Unfortunately, this book can't be printed from the OpenBook. If you need to print pages from this book, we recommend downloading it as a PDF. Visit NAP.edu/10766 to get more information about this ...
A body of healthcare AI research connects data infrastructure, machine learning, and natural language processing across medical applications. The studies examine automated data collection, cancer ...
It’s no surprise to anyone who works with data—it’s messy. In every industry and every business, there are data anomalies and issues that can impact the story data tells. If we have any hope of ...
The processes used by the Bureau of Labor Statistics (BLS) to collect data for the jobs report have been under scrutiny after last week's disappointing jobs report, and one of the agency's former ...
The foundation of any successful AI model lies in the quality and abundance of data. Yet even with breakthroughs in AI algorithms such as GPT-4, Anthropic and Mistral, organizations often struggle ...
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