Artificial intelligence has become a very frequently discussed topic also in real-world evidence (RWE) research, registries, and clinical data science. Conferences, publications, and industry reports routinely highlight AI as a transformative force capable of accelerating evidence generation, improving data quality, and expanding the utility of healthcare data. However, much of this discussion remains high… Continue reading The Practical Applications of AI in Real-World Evidence Studies
Tag: Data
From Feasibility to Architecture: Building a Dual-Purpose Data Strategy for RWE and AI
Following the previous discussion on how data feasibility differs between fit-for-purpose RWE studies and fit-for-training AI systems, and the technical characteristics that support each assessment, the next question is a practical one: how should organizations actually build a data strategy that can support both? Because once you determine that the same dataset must serve… Continue reading From Feasibility to Architecture: Building a Dual-Purpose Data Strategy for RWE and AI
From Variable Assessment to Model Readiness: Technical Differences in Data Feasibility for RWE and AI
In my previous article, I discussed how healthcare datasets might be suitable for real-world evidence (RWE) studies, artificial intelligence (AI) applications, or both. The overlap between these use cases is real, but the technical process used to evaluate a dataset is often very different. For RWE, many professionals are familiar with structured frameworks for… Continue reading From Variable Assessment to Model Readiness: Technical Differences in Data Feasibility for RWE and AI
AI in Healthcare and European Regulation: Anthropic under GDPR and the AI Act
From Product Vision to Regulatory Reality Anthropic’s “Claude for Healthcare” is an AI tool designed to support clinical, administrative, and research workflows by integrating directly into existing healthcare systems. It is built to connect with electronic health records (EHRs) and other internal tools, allowing professionals to query, summarize, and analyze medical information within a… Continue reading AI in Healthcare and European Regulation: Anthropic under GDPR and the AI Act
Do We Still Need Country-Specific Data?
In the European Union, data on racial or ethnic origin are classified as a “special category” under Article 9 of the GDPR, which generally prohibits their processing unless specific conditions are met, such as explicit consent or substantial public interest safeguards. As a result, several EU countries, including France, Germany, Denmark, and Sweden, do not… Continue reading Do We Still Need Country-Specific Data?