2024-12-01-艾昆纬-数字化转型_临床试验的新时代（英）_12页_1mb

Digital transformation is reshaping clinical trials through digitization, automation, and AI, aiming to enhance efficiency, patient experience, and data insights. Key trends include the use of real-world data, eSource data, telemedicine, wearables, and AI-driven tools for protocol design, patient recruitment, and real-time decision-making. Challenges include the 'collaboration tax' from fragmented outsourcing and the need for industry-wide standardization.

Digital strategies supporting clinical trials include:

• Real-time planning: Utilizing AI and ML for rapid enrollment optimization and scenario planning.
• Data flow management: Leveraging eSource data, cloud platforms, and AI to enable faster insights and oversight.
• Process automation: Automating administrative tasks and implementing tokenization for patient data privacy.

To maximize digital value, sponsors must focus on:

• Reducing 'white space' through early engagement and data-driven design.
• Implementing common data models and standards.
• Increasing site support by reducing administrative burdens and improving document management.

Despite advancements, challenges remain in standardizing data and achieving seamless industry-wide adoption. Future progress will depend on strategic planning and technological integration to drive innovation and improve clinical trial outcomes.