Deccan Chronicle

Data Quality Assurance: Integrating Traditional Approaches With AI Innovations

In today’s data-driven world, data quality assurance (DQA) is essential for organizations aiming to make informed decisions. High-quality data must be accurate, consistent, and reliable. Traditional ...
Forbes

Why Test Data Management Is The Most Overlooked Part Of Quality Assurance

Test automation and DevOps play a major role in today's quality assurance landscape. As we know, software development is evolving at a rapid pace. This requires finding robust ways to invest in ...
ascopubs.org

What Oncologists Want: Identifying Challenges and Preferences on Diagnosis Data Entry to Reduce EHR-Induced Burden and Improve Clinical Data Quality

Development and Evaluation of a Real-World Outcomes-Based Tool to Support Informed Clinical Decision Making in the Palliative Treatment of Patients With Metastatic NSCLC A total of 12 ...
Houston Chronicle

Quality Assurance Vs. Audit

The concepts of quality assurance and audits are two distinct ideas that serve the same purpose: improving quality, consistency and reliability in operations. Quality assurance is more of an abstract ...