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Scientists often design trials to answer every possible academic question, which adds complexity and patient burden. Drug development trials should be ruthlessly focused on two things only: safety and efficacy. All other extraneous research can wait for post-approval studies.
Many effective drugs that are already developed will not reach patients for years because the clinical trial system is the primary bottleneck. This delay is due to logistical and structural inefficiencies in testing, not a lack of scientific discovery.
Clinical trial protocols become overly complex because teams copy and paste from previous studies, accumulating unnecessary data points and criteria. Merck advocates for "protocol lean design," which starts from the core research question and rigorously challenges every data collection point to reduce site and patient burden.
The traditional drug-centric trial model is failing. The next evolution is trials designed to validate the *decision-making process* itself, using platforms to assign the best therapy to heterogeneous patient groups, rather than testing one drug on a narrow population.
A common failure in biotech is viewing patients solely as data sources rather than as human partners in the development process. This perspective leads to unnecessarily complex protocols with high patient burden. The most successful firms build relationships with patient advocacy groups and design trials that respect the patient's experience.
The process of testing drugs in humans—clinical development—is a massive, under-studied bottleneck, accounting for 70% of drug development costs. Despite its importance, there is surprisingly little public knowledge, academic research, or even basic documentation on how to improve this crucial stage.
Instead of a total overhaul, we can accelerate trials with three changes: 1) A simple patient opt-in registry for trial participation. 2) Collaborative platform trials testing multiple drugs against one control group. 3) A shared database for all trial data, including failures.
Acadia's R&D process starts by considering what will ultimately matter to patients, physicians, and payers. This "end in mind" approach ensures clinical trials are designed to demonstrate meaningful, commercially relevant benefits. It forces realism about a drug's potential impact early in development, avoiding wasted resources on therapies that won't be adopted.
Beyond medical side effects, clinical trials impose a significant 'procedural burden' on patients: frequent travel, extra blood draws, and endless questionnaires. This human cost must be minimized, as it can disrupt a patient's life and limit participation for those without strong support systems.
Many clinical trials fail not because the science is wrong, but because of operational issues like patient recruitment and retention. These problems often stem from overly burdensome and rigid trial designs that deter participation, a preventable error.
Industry leaders often believe their clinical trial designs are patient-centric, but direct experience in community clinics reveals the significant burden placed on patients and caregivers, such as 12-hour blood draw days. This exposure leads to more practical and humane trial designs that improve real-world data collection.