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
Tag: Data
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?
Real-World Evidence Without Data Ownership: How CROs Compete on Execution
The growing role of real-world evidence (RWE) across research, development, and decision-making has provided new opportunities for contract research organizations (CROs) operating in this space. However, the market of CROs delivering RWE is structurally unequal. With the notable exception organizations with proprietary data assets such as IQVIA, most CROs do not own large-scale proprietary healthcare… Continue reading Real-World Evidence Without Data Ownership: How CROs Compete on Execution
Using Real-World Data to Drive Precision Nutrition for Endurance Athletes
In Endurance Sports, Nutrition Is Not Advice, It’s an Intervention From Endurance Sport to Precision Nutrition Not many people who know me as a Real World Data professional in pharma are aware that I also run a side activity in precision nutrition for endurance athletes. This work began naturally, driven by my personal… Continue reading Using Real-World Data to Drive Precision Nutrition for Endurance Athletes
The Hidden Architecture of RWE: When Complete Data Stop Being True Data
Real-world evidence (RWE) is built on the premise that data generated during routine clinical care can reveal how medicines and interventions actually perform outside the environment of controlled trials. Electronic health records (EHRs) and disease registries are often treated as the foundational infrastructure of this approach. To improve data quality, many systems increasingly rely on… Continue reading The Hidden Architecture of RWE: When Complete Data Stop Being True Data