Welcome to the Abstract Submission Portal of the SCDM 2024 Annual Conference

We are thrilled to announce that the SCDM 2024 Annual Conference call for speaker and poster abstracts is now open!

Building on the first ever Festival of Clinical Data Science, #SCDM24 promises to be a vibrant celebration of innovation and exploration – where every opportunity is within reach. Will you join us in Boston on September 29 – October 2 for the Festival of Opportunity?

The Society for Clinical Data Management (SCDM) Program Committee invites submissions from CDM experts for speaking opportunities at the SCDM 2024 Annual Conference within eight themes. For poster presentations, we invite you to carefully read the "Instructions for Posters" tab before creating your abstract submission. 

The conference themes give an idea of how CDM leaders plan on addressing new opportunities and challenges.

Submit your abstract

We invite the submssion of speaker abstracts under the following conference themes and sessions:

AI + Cognitive Tech: Examining proven solutions, as well as work that is still in prototype, that aim to advance, enrich or improve data sourcing, aggregation and interpretation

• Human Factors of Change: Overcoming the Psychology Barriers to Building an AI Augmented Workforce 
• Lessons learned as Clinical Development Adopts AI 
• Traversing the Journey to Ethical & Responsible AI with HUMAN + MACHINE Talent
• Using AI in Clinical Operations, Data Management, and Science:  A Practical Blueprint for Streamlined Clinical Trials 

DCTs/Hybrids + Patient Journey: ​​​​Enhancing the patient journey through trial design and deployment solutions to create more inclusive trials with greater patient retention and data integrity

• Can Clinical Data Management Be Patient-Centric? 
• Navigating the Future of Informed Consent: Implementing eConsent in Clinical Trials 

RB-CDM + Data Integrity: Early engagement with protocol design and risk identification to set the foundation for empowered and reliable trial design, patient safety and data integrity

• Accelerated study build using risk-Based EDC development 
• Risk is Everyone’s Business: A Cross-Functional Approach to RB-CDM 
• True (Data) Detective: Audit Trail Analysis Use to Control Clinical Trial Data Quality and Integrity 
• What is hampering broader RB-CDM adoption in the industry and how can we fix it? 

CDS + Analytics: CDS practical implementation – real-life case studies, including analytics

• Analytics fueled  Clinical Data Science - An anthology of case studies 
• Applying SCRUM Methodoloy to Database Lock 
• Revolutionizing Clinical Trials: Propelling Clinical Data Science into the Future 

Tech-led innovation + Medical Devices + Coding: Celebrating innovations in the fundamentals of technology, data and communications that unlock better data insights and improved business performance

• Breathing New Life into Old Data: Exploring the Potential of Secondary Reuse to inform future Clinical Trials 

Data Human Evolved: Personal branding in your journey of data management, data science and beyond – how to pivot in an ever-evolving digital environment

• Cultivating Your People: Fostering Opportunities for Personal and Professional Growth in Data Management 
• EHR eSource: The way of the future or pipe dream? ​​​​​​​
• Unweaving the lessons learned from case studies of rare/complex indications or patient populations - how can these studies amplify the importance of quality by design and fit for purpose? 

Regulations + Standards: What are the successes and challenges of global clinical trials with respect to regulations, standards and trial design from the lenses of academia, small biotech and large pharma

• eCOA compliance - what we should know? 
• Expanded Clinical Data Standards Can Speed the Path to Artificial Intelligence. 
• Inspection-Ready Data Management: Strategies for Success 

Wild Card: Celebrating high-impact content that goes beyond the norm and shifts traditional themes and embraces the future

• New working relationships under in-licensing business model 
• Oncology Real World Data – Can we apply Machine Learning techniques to improve detection, diagnosis & prediction of cancer? 
• Patient Data Sharing Demystified: Nuts & Bolts, Best Practices, & Lessons Learned 
• Solving the sponsor / CRO / vendor puzzle 

To discover more about the conference themes and speaking at the SCDM 2024 Annual Conference we invite you to consult our abstract guidelines. 

Important Deadlines

To submit your contribution, start with “Login” to create your profile first and then choose “Submissions”. When creating your submission, please read carefully the abstract guidelines.