Diverse, Inclusive Clinical Research Begins with Optimized Trial Design

Diversity in clinical research has become a hot topic in recent years, with heightened attention leading to dramatic changes in the regulatory framework. The U.S. Food and Drug Administration Omnibus Reform Act of 2022 (FDORA) is one of the most notable. Now, just over a year since FDORA’s implementation, the industry’s perspective on diversity has undoubtedly evolved.

Hire with Caution: Background Checks May Not Catch Applicants’ Fakery

It can be difficult to find qualified and motivated candidates for clinical research job openings who are following all the rules. So, when competition gets so cutthroat that an entire shadow network of fake references springs up to help foist illegitimate new hires on short-staffed or over-eager employers via trickery, caution should be the hiring manager’s byword.

Converting Meetings Data into Valuable Metrics and Insights for Study Sites and Sponsors

Recently, an industry driven by metrics admitted it’s probably not making the most of its data. This conclusion—noted in the marketing sector—offers both a warning and sound advice for the pharmaceutical industry, which collects data from its investigator meetings, speaker trainings, and ad boards, but often doesn’t have all necessary resources to convert this information into meaningful metrics and actionable insights that can impact business strategy.

Taking Quadruple Aim: Improving Clinical Research Access, Affordability, Quality, and Experience

We need to make it easier for people to participate in clinical research. The strategies employed to connect patients with clinical research sites also need to vary by geography. There are distinct differences between urban, suburban, and rural communities. Successful outreach requires cultural competency, knowledge of how care is delivered, and attention paid to how research is understood in local markets.

The Power of AI in Pharma to Achieve Regulatory-Ready Studies

Today, researchers still face challenges in accessing deep, diverse, longitudinal, fit-for-purpose real-world data. Recent technological advancements like purpose-built large language models can help with these challenges. When paired with novel patient-mediated approaches to data collection and generation, they are finally helping to unlock the full potential of medical data to drive better research and improve healthcare.