The clinical trial landscape is undergoing a massive transformation thanks to artificial intelligence (AI). From automating data management to enhancing compliance and efficiency, AI is redefining how trials are conducted. But with innovation come new challenges and questions:
How is AI being used in clinical research?
What are the challenges of AI in clinical trials?
How is Generative AI (Gen AI) used in clinical trials?
What are AI-derived drugs in clinical trials?
AI teammates are designed to streamline trial management for sponsors, CROs, and research sites. Let’s dive into how AI is changing clinical trials for CROs.
How are AI Teammates Being Used in Clinical Trials?
AI is integrated into clinical trials to increase efficiency, reduce errors, and optimize decision-making. AI teammates are transforming trial management in several ways:
Automated Trial Management – AI teammates ensure uniform execution across multiple sites by harmonizing endpoint capture, providing real-time visibility into trial operations, and automating compliance tasks.
Operational Efficiency for CROs – AI teammates help reduce non-billable hours, reduce manual overhead, and improve operating margins through automation. Routine tasks like site monitoring, data validation, and compliance tracking are streamlined, allowing teams to work smarter.
Faster Study Timelines – AI accelerates study setup, patient recruitment, data management, and monitoring tasks, leading to 50% reductions in operational effort and 80% faster study setup and closeout.
Real-Time Sponsor Dashboards – Sponsors gain live access to study performance and risk mitigation strategies, ensuring greater transparency and oversight throughout the trial lifecycle.
Seamless Site Support – AI-powered automation reduces the administrative burden on trial sites, making studies easier to run and improving site engagement. From document management to patient enrollment, Tilda Sense enables smoother operations.
What Are the Considerations of AI in Clinical Trials?
While AI is a game-changer, its implementation comes with considerations:
Regulatory Compliance & Oversight – AI-driven workflows must align with FDA, EMA, and ICH GCP standards while ensuring data privacy and security (e.g., SOC2 Type II, HIPAA, CFR 21 Part 11 compliance).
Data Quality & Consistency – AI relies on high-quality data, but inconsistent data entry and variability across sites can impact accuracy. Tilda Sense mitigates this by automating compliance tracking and maintaining real-time audit logs.
AI-Human Collaboration – While AI enhances efficiency, human oversight is still crucial. Tilda’s AI teammates don’t replace research professionals but instead augment their capabilities, ensuring high-quality results while maintaining necessary human intervention.
Integration with Existing Systems – Many research organizations still rely on legacy systems, making AI adoption challenging. Tilda Sense is designed to seamlessly integrate into existing research ecosystems without disrupting workflows.
How is Generative AI (Gen AI) Used in Clinical Trials?
Generative AI (Gen AI) is reshaping clinical trials by optimizing workflows, reducing documentation efforts, and enabling predictive insights. Tilda Sense incorporates Gen AI to:
Automate Monitoring & Reporting – AI assists Clinical Research Associates (CRAs) by analyzing protocol requirements and site-specific contexts to generate guided monitoring workflows, reducing variability and improving consistency.
Streamline Source Data Verification (SDV) – Gen AI can pre-process source documents and trial data before site visits, flagging discrepancies in real time and reducing the manual effort of CRAs by 70%.
Enhance Risk Detection & Decision-Making – Gen AI scans real-time datasets to detect anomalies and trends, allowing trial managers to address risks before they escalate. Project managers using Tilda Sense gain access to dynamic trial dashboards, real-time financial tracking, and automated workflow coordination.
Simplify Data Management for CROs – AI teammates help Data Managers by automating data cleaning and validation. Tilda Sense can identify missing values, flag protocol deviations, and enforce automated validation rules, ensuring data integrity across all study sites.
AI is the Future of Clinical Trials – Get Started with Tilda Sense
AI is revolutionizing clinical trials by reducing operational burdens, enhancing compliance, and accelerating timelines. With Tilda Sense, sponsors, CROs, and research sites can harness the power of AI-driven automation to achieve:
🔹 50% reduction in study management effort
🔹 80% faster study setup and closeout
🔹 20% faster patient recruitment
🔹 40–50% reduction in non-billable hours
Read full Article
