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Clinion

Redefining Clinical Trials With AI

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Description

Clinion offers an integrated, intuitive, and intelligent AI-enabled eClinical platform specifically designed to streamline clinical trials. It consolidates essential components such as Electronic Data Capture (EDC), Randomization and Trial Supply Management (RTSM), Clinical Trial Management System (CTMS), electronic Consent (eConsent), electronic Patient-Reported Outcomes (ePRO), eSource, eProtocol Automation, Clinical Study Report (CSR) Automation, and electronic Trial Master File (eTMF) into a single, unified system.

By leveraging advanced Artificial Intelligence/Machine Learning (AI/ML) and Generative AI (GenAI) modules, Clinion significantly accelerates trial timelines, enhances regulatory compliance, and helps reduce operational costs. This comprehensive approach aims to make the complex process of clinical trial management more seamless and efficient, supporting accelerated development and a faster path to market for new treatments.

Key Features

  • Integrated eClinical Platform: Combines EDC, RTSM, CTMS, eConsent, ePRO, eSource, eProtocol Automation, CSR Automation, and eTMF.
  • AI/ML & GenAI Modules: Accelerates timelines, enhances compliance, and reduces costs in clinical trials.
  • Electronic Data Capture (EDC): Streamlines study setup, data capture, management, and reporting with a user-friendly interface.
  • Randomization & Trial Supply Management (RTSM): Optimizes randomization processes and manages trial supplies, integrated with EDC.
  • Electronic Clinical Outcome Assessment (eCOA): Mobile/web solution (BYOD compatible) to improve participant engagement and data quality.
  • Clinical Trial Management System (CTMS): Centralizes trial oversight, project management, monitoring, and expense tracking.
  • Document Automation: Uses AI to automate Study Protocol and Clinical Study Report generation, reducing authoring time.

Use Cases

  • Streamlining end-to-end clinical trial processes.
  • Accelerating clinical study timelines.
  • Improving regulatory compliance in trials.
  • Reducing operational costs associated with clinical trials.
  • Managing clinical trial data capture, monitoring, and reporting.
  • Optimizing patient randomization and drug supply logistics.
  • Enhancing patient engagement and data collection via electronic means.
  • Centralizing operational management of clinical studies.
  • Automating the creation of essential clinical trial documents.

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