Discover the latest trends and innovations in clinical trial monitoring, including AI, decentralized trials, and wearable technology. Learn how these advancements enhance patient safety and trial efficiency at BioBoston Consulting.
The clinical trial world is changing. Legacy techniques are getting new facelifts to offer faster and more robust trials. Thanks to technology developments that have introduced a bold investment in innovation. In this article, you will see what some of the most interesting trends happening at clinical trial monitoring world.
1. Rise of the Machines: AI & Machine Learning
How AI and ML Are Reshaping Clinical Trials:
Electronic record analysis of large datasets, patient-reported outcomes, and genomics are among the many tools at their disposal to scan data for patterns and predict upcoming events. This can help researchers.
Trial design:
AI can recommend patient selection criteria and the combination of treatments to target the most promising groups of patients faster than traditional trial design methods.
Safety: Monitor for potential safety issues.ML models actively screen data to pick up unusual signals regarding participant safety.
Speed development of drugs: AI can aid in researching data faster materializing a new treatment to the patients.
2. Decentralized Clinical Trials (DCTs)
DCTs are leveling the playing field, enabling patients to participate in trials from their homes or nearby clinics. It is accomplished with the help of telemedicine, wearable devices and remote patient monitoring tools. Advantages of Double Compactness Transformers (DCTs) include:
Patients participation: DCTs can attract a better representation of diverse patients by overcoming geographic constraints.
Increased accessibility: With home visits, patients can avoid traveling to clinical research sites multiple times.
Financial benefit for sponsor: Often DCT does not need as much infrastructure and as many people to run, making them a more budget-friendly solution.
3. Sensors and Wearables
The use of wearables and sensors for real-world patient data capture in clinical trials is on the rise. They monitor heart rate, activity and sleep data and give you insight into a person’s overall health before or after treatment.
4. Risk-Based Quality Management are known as RBQM for short.
Risk-based monitoring (ICT offerings that work with EDC and e-consent vendors) — RBQM is a new method for clinical trial monitoring, designed to identify and alleviate risks at every stage of the trial life cycle. This is quicker than the old way and allows monitors to focus on where we are most concerned.
The Future of Monitoring Clinical Trials
This is just a quick look at some of the future trends in clinical trial monitoring. Adopting such innovations will allow for more timely, ethical and patient beneficial completion of clinical trials leading to superior treatments for patients globally.
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