To establish a consistent approach to assess, manage and improve data quality across the data lifecycle, covering a wide spectrum of data types, and taking into account the blurred line between data ...
An article recently published in Nature proposes a new way to evaluate data quality for artificial intelligence used in healthcare. Several documentation efforts and frameworks already exist to ...
We developed a framework of five data quality dimensions (DQD; completeness, concordance, conformance, plausibility, and temporality). Participants signed a consent and Health Insurance Portability ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Data quality, a subset of data intelligence, is a topic that many ...
1. The "quarantine" pattern is mandatory: In many modern data organizations, engineers favor the "ELT" approach. They dump raw data into a lake and clean it up later. For AI Agents, this is ...
CEO of Infogix and a visionary executive with over 30 years of experience in all aspects of growing innovative software companies. Two and a half years implementation of the General Data Protection ...
The journey from data sharing to improved health outcomes is dependent on high-quality clinical data. Without it, it is difficult for providers to make the best clinical decisions possible, and the ...
Unlock the power of your data with an effective data governance framework for security, compliance, and decision-making. Data governance frameworks are structured approaches to managing and utilizing ...
ONC and the CMMI Institute, an organization focused on IT best practices, released a framework focused on patient matching, the CMMI Institute announced Dec. 15. The framework, called the Patient ...
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