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With inconsistent site profile and performance information spread across various systems, finding and enrolling qualified sites is predominately a manual, complicated, and lengthy process.
Select Cloud Service provides a data-driven approach to weighing selection and performance variables to aid in the identification of sites and target populations ideally suited to studies. Open sites on time and meet enrollment targets.
Select simplifies the process of finding investigative sites by ensuring optimal fit and its integrated workflows allow our globally dispersed clinical research teams to collaborate in real-time. Investigate sites can then be quickly setup to enroll trial subjects using Activate.
Learn how digital transformation roadmaps were accelerated to embrace innovative approaches to overcome adversary.
Learn how fundamental to new ICH guidelines is the modernization of processes and technology with a focus on QbD and risk-based management approaches.
Learn how machine learning technologies can help predict outcomes in clinical trials, leading to faster drug approval times and lower costs.
Learn how to overcome the complexities introduced in outsourced studies (e.g., quality, oversight, collaboration, and governance).
Learn how entrenched silos have stymied data flow efforts due to minimal understanding of what is needed downstream.
Drive competitive performance and operational excellence by focusing on bottlenecks and processes ripe for optimization.
Learn how good clinical practice (GCP) guidelines and systems help improve overall study quality.
Learn how contemporariness can be defined in operational SOPs and implemented in daily operations to ensure audit readiness.
Learn how to tackle the challenge of improving budget and contract cycle times in starting clinical trials.
Discover how to combat poor risk management practices that have fueled the rescue study industry.
Hear how eClinical technologies and industry initiatives are impacting the ability of investigative sites to conduct clinical trials.
Learn how to mitigate the patient and data quality risks associated with decentralized clinical trials.