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Optimize Site Selection

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.

Key Features

Select Cloud Service Benefits

  • Validate site performance to meet enrollment targets
  • Integrate all data sources to create a comprehensive site profile
  • Integrate workflows to complete all site identification and selection activities
  • Reuse site profile data to maximize accuracy of data
  • Utilize workflows to manage CDA, protocol amendments, site identification surveys, and prestudy visits
  • Enable data-driven business decisions and transparency for regulatory compliance and risk mitigation
 

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.

Kirill Soldatov, Director of Process Improvement, PSI CRO
Learn More

Study Startup Webcasts

How to build productive, strategic sponsor-CRO partnerships

How to build productive, strategic sponsor-CRO partnerships

Learn how trusted collaboration is key to keeping sponsor-CRO partnerships aligned on shared goals.

How to realize the efficiency benefits of ICH E6 (R3) before it's released

How to realize the efficiency benefits of ICH E6 (R3) before it's released

Learn how the focus on efficiency in ICH E6 (R3) will fundamentally change clinical trials.

How machine learning can help improve the operational efficiency of clinical trials

How machine learning can help improve the operational efficiency of clinical trials

Learn how machine learning can help identify and rectify systemic inefficiencies, allowing life science organizations to learn and adapt.

Reducing Complexity in Starting Clinical Trials

Reducing Complexity in Starting Clinical Trials - More Patients, Faster Startup

Learn how the collaboration between Cognizant and Oracle eliminates redundancy for sites and deliver better outcomes from sponsors/CROs.

U-Turn or Norm?

U-Turn or Norm? #NoGoingBack and Decentralized Trials in a post-COVID-19 World

Will the industry embrace this change or revert back to its old ways post-COVID-19?

Vendor Oversight: Ensuring Compliance by Assessing Study Risks

Vendor Oversight: Ensuring Compliance by Assessing Study Risks

Learn how vendor oversight can be implemented end-to-end, ensuring compliance with ICH regulation guidelines.

Is Artificial Intelligence Critical to Improving Efficiencies and Outcomes in Clinical Trials?

Is Artificial Intelligence Critical to Improving Efficiencies and Outcomes in Clinical Trials?

Learn how to gain critical operational insights by using AI/machine learning to transition from subjective decision making.

COVID-19's Impact on the Digital Transformation of Clinical Trials

COVID-19's Impact on the Digital Transformation of Clinical Trials

Learn how digital transformation roadmaps were accelerated to embrace innovative approaches to overcome adversary.

Are the Intended Benefits of ICH Regulations Obscured by the Adoption Struggle?

Are the Intended Benefits of ICH Regulations Obscured by the Adoption Struggle?

Learn how fundamental to new ICH guidelines is the modernization of processes and technology with a focus on QbD and risk-based management approaches.

Using Artificial Intelligence to Improve Clinical Trial Efficiency and Optimization

Using Artificial Intelligence to Improve Clinical Trial Efficiency and Optimization

Learn how machine learning technologies can help predict outcomes in clinical trials, leading to faster drug approval times and lower costs.

Outsourcing to CROs: Expediting Clinical Operations or Oversight Nightmare?

Outsourcing to CROs: Expediting Clinical Operations or Oversight Nightmare?

Learn how to overcome the complexities introduced in outsourced studies (e.g., quality, oversight, collaboration, and governance).

Dismantling Data Silos to Improve Study Startup and Mitigate Risk

Dismantling Data Silos to Improve Study Startup and Mitigate Risk

Learn how entrenched silos have stymied data flow efforts due to minimal understanding of what is needed downstream.

Learning Library

News and Resources

Clinical trials are constantly evolving, with advancements in technology, industry initiatives, regulatory, and process changes. Gain perspective and learn more about these changes in the resources below.

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