Quality data is critical to informing public health actions. | The time has come for CMS to implement performance measures—or quantitative metrics—for public health and clinical data exchange, writes ...

Harmonization can improve the quality of data in electronic health records, which ultimately can boost use for secondary purposes, according to research published this month in eGEMs (Generating ...

Data quality is a top priority for financial firms and it has only grown in importance because of regulation and the need for better operational efficiency. Data quality is hard to measure in the ...

'Big data' and the impact of analytics on large quantities of data is a persistent meme in today's Information Technology market. One of the big questions looming in IT departments about big data is ...

When generative artificial intelligence (genAI) burst into prominence with the release of ChatGPT in 2022, technically savvy business users quickly began experimenting. At that time, existing tools ...

1. The Data Quality Assessment Framework (DQAF) was developed to address the Executive Board's interest in data quality as expressed during the December 1997 discussion of the Progress Report on the ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

n artificial intelligence (AI) is only as useful as the data used to train it. Training AI with dubious data leads to questionable decisions. An AI project should thus give a thorough airing to ...

NEW YORK--(BUSINESS WIRE)--The Association of International Certified Professional Accountants (Association), representing AICPA and CIMA, has released a new Data Analytics Core Concepts Certificate ...