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AI in CDM Data Management Expert Group

We are already seeing the revolution that is AI within our clinical data management industry. This technology has the power to automate tasks such as data collection, analysis and interpretation. It can streamline processes, enhance accuracy and enable data managers to improve decision making with respect to clinical trials. Despite it’s potential AI adoption in clinical data management requires addressing challenges such as data privacy, bias mitigation, implementation and regulatory compliance.

This new AI in CDM DMEG aims to bring collaborators from pharma, biotech, CRO and technology providers together to continue the excellent discussions already started at the ACDM symposia and annual conferences and provide thought leadership and guidance to our community on how together we can influence the adoption of AI in CDM.

We are currently calling for volunteers to join this new DMEG and shape the way in which we adopt this technology safely and effectively.

Expectations of the DMEG
Expert Groups actively contribute content to help support our membership. Examples of content this DMEG should look to produce include position papers, orientation guides, topic briefs. In this space this would include use case profiles, implementation guides, challenges and opportunities.

Eligibility/Membership of the DMEG
We are seeking members for this new DMEG who have direct experience working in the AI/ML in clinical trials space. We are looking for open-minded, dynamic contributors with an interest in content creation (authors, reviewers, participants) to help provide formalised guidance to our membership.

If you would like to join and meet the eligibility criteria, you can apply here

eDigital Expert Group outputs

ACDM Functional Integration Map
Date: November 16, 2023

Click to access output

Embarking on a Decentralized Clinical Trial Journey – A Data Manager’s Guide
Date: December 6, 2022

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Top considerations for Decentralised Clinical Trials (DCT) in data management
Date: August 8, 2022

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Machine Readable Study Schedule of Activities Definition
Date: December 17, 2021

Click to access output

Machine Learning – ACDM Lunch and Learn Summary
Date: December 15, 2021

Click to access output

EHR Integration
Date: May 5, 2021

Click to access output

Clinical Data Manager – Past and Present
Date: January 7, 2021

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How to reduce the burden of wearables implementation in clinical trials
Date: May 28, 2020

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Infographic – What do Data Managers need to know when considering wearables for their data collection?
Date: May 6, 2020

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GDPR in relation to Clinical Data Management.
Date: March 26, 2020

Click to access output

eDigital Expert Group members

Alan Yeomans
Quality Manager | Viedoc

Vishal Kapoor
Group Manager, Clinical Data Sciences & Systems | Terumo

Hannah Bausch
Senior Clinical Research Professional | Esculape

Tracey Lavery
Manager, Clinical Data Management | ONO Pharma UK ltd

Nadia Petiot
QA Auditor & Data Management Expert | Focus Data Science

Oyiza Momoh
Manager, Clinical Data Manager | GSK

Marcus Schwabedissen
Chief Operating Officer, Senior Executive Consultant | QFINITY

Jennifer Bradford
Director of Data Science | Phastar

Sverre Bengtsson
Co-founder | Viedoc

Richard Moore
Senior Lead Data Manager | PRA Health Sciences

Nina Reyes
Manager Clinical Data Management | IQVIA

Andy Richardson
Director | Zenetar Ltd

Tim Armitage
Manager, EMEAR Enterprise Solution Consulting | Medidata, a Dassault Systèmes company

Santosh Karthikeyan Viswanathan
Technical Director, Clinical Programming | AstraZeneca

Natalia Sofia
Senior Clinical Data Manager | MSD Merck Sharp & Dohme AG

Peter Sec
Associate Manager, Clinical Data Sciences | Premier Research

Emma Wrixon
Senior Clinical Data Manager | Labcorp

Doug Bain
Chief Technology Officer | KCR

Alberto Clemente
Data Scientist, Clinical Data Sciences | Premier Research

Shuchi Thakur
Associate Director, Project Data Manager | AstraZeneca

Ashley Howard
Director, Senior Asset Lead | Pfizer