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Meet Clinion at the SCDM 2024 India Annual Conference

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Clinion is excited to announce that we will be exhibiting at the SCDM 2024 India Annual Conference, taking place from December 6th to 7th in Hyderabad, India.

“Empowering Growth” is the theme driving SCDM, with a focus on innovation and technology in clinical trials. This event will bring together clinical data managers, industry leaders, and experts to explore advanced solutions and strategies that address the challenges of today’s clinical research environment, focusing on enhancing efficiency, data integrity, and compliance.

AI-Powered Innovations by Clinion:

At the conference, Clinion will showcase its AI-enabled eClinical Platform, equipped with next-generation tools such as:

GenAI-Powered Data Review: Data Managers can create complex datasets in simple English using Clinion’s GenAI-powered Prompt Bar, review data, and raise queries directly from the report, saving 80% of the time.

  • CDASH Annotation with AI: Clinion’s AI automatically maps study data to CDASH standards, reducing errors and improving compliance, accelerating study setup timelines by 30%.
  • AI Medical Coding for MedDRA & WHODD: Clinion leverages ML algorithms to simplify labeling, offering fast search results and accurate matches. It supports both MedDRA and WHODD dictionaries, automating Adverse Events and Conmed coding for enhanced efficiency.
  • Dynamic Reporting with Gen AI: Clinion’s GenAI technology allows users to create real-time custom reports and visualizations, providing instant insights and improving decision-making with scheduled and shareable reports.

    • Our CEO, Manuj Vangipurapu, will also be a featured speaker in the session “Unleashing the Power of Data Insights: Analytics, Visualization, and AI/ML in Clinical Data Management,” on December 7, 2024, from 11:00 AM to 12:15 PM. This session will explore how AI/ML, advanced analytics, and visualization tools are transforming clinical trials by enhancing data accuracy, accelerating decision-making, and improving operational efficiency.