💡Our data suggests that a small gap in how some sites screen for PTSD history could be costing MDD trials as much as 15% of otherwise viable screening appointments. Read on to learn why. It’s an exciting time in MDD research. At Power, we’ve worked on over 50%
“Site archetype” tells us how many referrals to initially send to a site. How a site actually acts on its first two months of referrals tells us how to update.
Not every enrollment slowdown is a site problem. Sometimes it's a portfolio problem. Here's how to tell the difference and what to do about it.
How Sonia Prashar Built a Mission Around Mental Health
Your local call center knows exactly how every agent performed today. Your clinical trial sites? They're still filling out spreadsheets.
"The last paragraph in a paper is often what you really want to be doing,"
In 1996, a young psychiatrist named Joseph Palumbo joined Cephalon to work on myotrophin, a promising ALS candidate. It didn't succeed. What he learned shaped the first ALS approval in over 20 years.
How "positive deviance" can help you find what's working and scale it
The operational insights behind our biggest year in patient recruitment
How a time-constrained 6-month proof-of-concept study and disciplined trial methodology transformed a shelved compound into a $14 billion breakthrough
Why patients who seem "engaged" disappear... and what site behaviors may be driving them away
The AtaiBeckley merger reflects a bet that shorter treatment durations will improve patient access and payer acceptance.
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An engineer's path from NASDAQ IPO to hemp-derived THC trials reveals the operational realities many clin ops teams don't discuss.
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How Karuna's former CMO turned disciplined trial methodology into a $14 billion BMS acquisition
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Why the gap between 'interested patient' and 'scheduled screening' is costing you enrollment
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Why a former Genentech director bet on cortisol over amyloid, and what pilot data showing 5x better efficacy could mean for patients
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What happens when a qualified patient is ready to engage... and nobody's available to respond?
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Why smart clin ops teams focus on practical AI wins instead of chasing shiny objects
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See below for our top-5 takeaways from the recent podcast
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Why waiting until "6 months left" dramatically increases your risk of missing enrollment deadlines
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Dan's team is going after what they believe are "the real toxic drivers"
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Why clin ops’ leaders who understand these metrics never question recruitment budgets again
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Why we started monitoring sites like coaches track their star players
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Why the best sites think in weekly cohorts, not conversion rates