Completed Brain & Nervous System Psychology & Behaviour

Method - Efficient and effective conduct of clinical trials

In plain English

AI plain-English summary

Clinical trials are currently run using methods that are often not backed by high-quality evidence, and this project aims to replace guesswork with proven, efficient practices. The problem is twofold. First, the way trials collect and check data directly affects both their cost and the reliability of their results, yet many standard procedures have never been rigorously tested. Second, academic organisations frequently investigate new treatments for diseases that pharmaceutical companies deprioritise, creating a bottleneck where promising results struggle to reach regulatory approval. This project seeks to identify evidence-based ways to run trials more effectively—for example, by determining when and how patients’ routine medical records can replace expensive, dedicated data collection, and when they cannot. If successful, this research could make clinical trials cheaper, faster, and more trustworthy. For patients with diseases that industry neglects, it could accelerate the licensing of new treatments by giving regulators clearer, more reliable data from academic-led trials. The impact would be felt not in dramatic headlines, but in the quiet, systematic improvement of how medical evidence is generated and used.

View original technical description
Clinical trials help doctors and patients to make better healthcare decisions. The way that a trial is done and the data collected and checked effects the cost of the trial and also directly effects the confidence we can have in its results. Unfortunately, many of the methods that we use to run trials are not based on high quality evidence. We aim to find better and evidenced based ways of running trials more effectively. Trials can also be very expensive, so we are looking at ways we can make them more cost-effective. For example, we want to understand where and how a patients routine medical records can be used to get quicker and cheaper access to data for trials and where this is not possible. Academic organisations often investigate new treatments in diseases which are not a priority for the company that has developed that new treatment. We therefore need better ways in which the results of trials being done by academic organisations can be used by regulatory authorities to improve the speed at which these new treatments can be approved and licensed for use in patients with these diseases.

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Researchers

James Carpenter (Co-Investigator)Mahesh Parmar (Principal Investigator)Matthew Sydes (Principal Investigator)Sharon Love (Co-Investigator)

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Original classification

Intramural

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.