This post originally appeared on Fast Data Science’s blog on LinkedIn.
Clinical trials are the backbone of medical advancements, playing a crucial role in developing new treatments, improving patient outcomes, and ensuring that medical practices are based on solid evidence. As an expert in the Healthcare, Pharmaceutical, and Medical Industries, I’ve witnessed first-hand how clinical trials drive innovation and elevate the standard of care.
Development of New Treatments: Clinical trials are essential for the safe and effective development of new drugs and therapies. Without these trials, many life-saving treatments would not be available today.
Evidence-Based Practice: Research ensures that medical practices are grounded in robust evidence, leading to better patient outcomes. Healthcare providers rely on clinical trial data to make informed decisions about treatments.
Patient Safety and Efficacy: Clinical trials rigorously test new treatments, ensuring they are safe and effective before reaching the market. This process helps protect patients and fosters public trust in medical advancements.
Economic Impact: Investing in clinical research stimulates the economy by creating jobs and fostering innovation. Successful treatments also reduce long-term disease management costs.
Access to Cutting-Edge Treatments: Participants in clinical trials often gain access to new treatments before they are widely available, offering hope to those with conditions that do not respond to current therapies.
For a deeper dive into the importance of clinical trials, read our detailed article here.
Why Diversity in Clinical Trials Matter?
Diverse participation in clinical trials ensures that the findings apply to all population segments, leading to more effective and equitable healthcare solutions. By including diverse populations, we can understand how treatments affect different groups, reduce health disparities, enhance scientific validity, and adhere to ethical research practices. Tools like the Clinical Trial Risk Tool can help manage these trials effectively, ensuring inclusivity and representation.
You can learn more about the significance of diversity in clinical trials here.
Innovations like Fast Clinical AI are transforming clinical research. By leveraging Natural Language Processing (NLP) and predictive modelling, tools like Fast Clinical AI streamline data extraction, enhance risk management, and improve cost and time efficiency in clinical trials. These advancements help researchers overcome traditional challenges and accelerate the development of new treatments.
Explore how Fast Clinical AI can revolutionise your clinical trials here.
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Guest post by Youssef Soliman, medical student at Assiut University and biostatistician In 2025, the outsourcing of clinical trials has become a common strategy for pharmaceutical and biotechnology sponsors. Facing rising R&D costs and complicated studies, sponsors turn to Contract Research Organizations (CROs) and other external partners to manage clinical trials. This practice, known as outsourcing clinical trials, is adopted as a best practice for containing costs and enhancing efficiency in drug development [1].
Creating clinical trial budgets from protocols Creating a clinical trial budget is a fiddly and time consuming process. The playbook for running the clinical trial is a document called the protocol. You can find examples of protocols here. The protocol states how many participants will take part in the trial and also what visits and procedures will take place. Above: a protocol. Source: NCT04128579 A clinical trial manager must read the protocol and look for all pieces of information in the protocol that is relevant to the budget, in particular the Schedule of Events (also called Schedule of Assessments or Schedule of Activities), which is a table or series of tables which indicate which procedures and assessments will take place on which the visits.
