ProofPilot ads

At ProofPilot, we know how challenging it can be to manage clinical trial site training effectively. That's why we've created Staff Training - a platform that simplifies the process while ensuring compliance and engagement. With customizable materials, automated updates, and seamless certification tracking, you'll save time and enhance protocol adherence.

Say goodbye to inefficient training methods! With ProofPilot's Staff Training solution, you can deliver engaging content tailored to each role at your clinical sites. Benefit from automated version updates, certification tracking, and predefined workflows that boost compliance and streamline operations.

90% of sites learn your protocol on the first few patients. That's too late. ProofPilot Staff Training gives sponsors a structured, multifaceted approach to site readiness — so every site executes flawlessly from visit one.

80% of clinical trials miss their enrollment timelines, and everyone loves to blame "poor recruitment." Let's get real. It's not the sites. It's the forecast. We keep adding complexity to study protocols, but we're still using basic spreadsheet math to guess how long a trial will take. The sad truth is that traditional spreadsheet forecasting sets study planners up to fail. Unrealistic assumptions get baked in, real-world friction is ignored, and costs pile up. How could this have been prevented? Stop guessing and start simulating. ProofPilot's Enrollment Forecaster uses data-driven Bayesian simulation to build realistic, predictive timelines based on actual data—not wishful thinking. Read our latest blog to see why your enrollment delays are actually a forecasting problem, and how to finally fix it.

Let's get real about why 80% of clinical trials miss their enrollment timelines. The industry loves to blame slow sites and recruitment headaches. But here's the uncomfortable truth: it's not your recruitment strategy that's broken. It's your forecast. Think about it. We manage incredibly complex protocols every day, yet we're still using basic spreadsheet math to predict when we'll hit our targets. How does that make sense? The sad truth is that conventional spreadsheet forecasting stinks, and everyone knows it. ❌ It's built on fantasy assumptions ❌ It gives you zero real-time visibility into what's actually happening ❌ It leaves your study teams scrambling when delays hit But wait, it gets worse. We keep using these broken forecasts because... well, what else are we supposed to do? There's a better way to forecast your enrollment. ProofPilot's Enrollment Forecaster ditches the guesswork for AI-driven Bayesian simulation, giving you data-driven timelines you can actually trust. Ready to move beyond the spreadsheet? Read our latest post to see how.

What do all first-rate patient recruitment campaigns have in common? 👇 ✅ Robust attention to all touchpoints (big and small) from awareness through conversion ✅ Strong sponsor-site collaboration and accountability ✅ Clear metrics to assess site and patient engagement throughout every stage of the recruitment funnel Too many studies fly blind and rely on outdated tactics that fail to address the real obstacles hindering successful enrollment. Throw in a disconnect between what sponsors think SHOULD work and what actually works, and you’re in a real pickle. 😫 Built from real data and insights from sponsor recruitment leaders, our new guide lets you choose your own recruitment path. Will your choices carry patients to randomization–or will they hit a dead end? Start your recruitment quest: https://lnkd.in/eAnUfyTQ