The clinical trials arena is becoming increasingly data-driven, with demand growing for sponsors to have real-time data access throughout a study.
Sponsored Content by Innovaderm Research Inc.Reviewed by Olivia FrostDec 10 2024 The clinical trials arena is becoming increasingly data-driven, with demand growing for sponsors to have real-time data access and ongoing updates throughout a study rather than just a final report. The timely provision of clean and accurate information requires employing digital systems that support efficient data handling, analysis, and reporting.
Historically, data analysis reports have been delivered retrospectively after clinical trials. The downside of this approach is that valuable time has already been lost if inaccuracies are identified or the data is inadequate; the opportunity to adapt the protocol as the study progresses has been missed. These challenges can be addressed by delivering a continuous transparent stream of actionable information.
AI tools have the potential to help predict issues before they arise, enabling the optimization of resource allocation. They also play a key role in processing and harmonizing the variety of data types collected in modern trials—from patient-reported outcomes and wearable devices to lab results and electronic health records—exposing patterns that can inform protocol design and execution.
CROs adopting AI should take a cautious, controlled approach to ensure reliability, prioritizing accuracy and accountability. This balance between innovation and expertise is vital for the integrity of clinical studies and reflects a commitment to patient safety and ethical practice. It is particularly relevant in disease areas such as dermatology, where patient outcomes are based on subjective endpoints.
This focus on efficiency benefits sponsors, too, who receive timely, accurate results from the insights of subject matter experts. Similarly, the use of integrated trial management systems ensures that workflows are smooth and that data flows seamlessly from one department to another, reducing silos and avoiding breakdowns in communication.
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