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2023 China Interchange Call for Abstracts
Abstracts Due: Friday, 2 June 2023
We welcome abstracts for the 2023 CDISC China Interchange on any of the topics listed below.
Novelty in Clinical Trials and CDISC Standards
- How modernization of clinical trials is impacting CDISC standards: experience from decentralized trials, master protocols, etc.
- World-wide events impact on CDISC standards: e.g. how interim Covid guidelines have impacted and how they have been integrated/confirmed by CDISC and/or regulatory agencies
- Social evolution can impact clinical trials conduct and standards: share experience or initiative related to this (e.g. diversity inclusion)
Real World Data / Evidence
- The life cycle of drug development is being modernized through the use of real-world data / evidence.
- The combination of RCT data (safety, efficacy) and RWD (effectiveness) for submission is becoming the 'new' standard
- We are interested to receive experiences from the industry on the following related topics:
- Progress and barriers to the use of real-world data / evidence for regulatory evaluation
- Best Practices of using CDISC Standards for RWD and Barriers
- Pragmatic Clinical Trials
- Use of CDISC and other life sciences/healthcare standards (OMOP data model, HL7 FHIR, etc.)
- FHIR to CDISC Joint Mapping Implementation Guide v1.0
- CDISC collaborations with other standards and initiatives
- Move to decentralized clinical trials - usage of digital biomarkers / digital endpoints (collected as part of the clinical trial)
CDISC in Academic Research
- Healthcare Data Systems
- eSource/Direct Data Capture (DDC)
- Meta Analysis / Data Integration
- Computer Science and Data Science perspectives on CDISC standards
Unlocking the Power of Historic R&D Data and Opportunities in Clinical Data Sharing
- Big data / pooling of historic R&D data and harmonising it using common data standards e.g CDISC-SDTM standards
- Opportunities across the life sciences data sharing (FAIRified) ecosystem post anonymization of critical GDPR data
- Improve R&D returns by unlocking the power of RCT data to enhance and accelerate data driven decision-making across the value chain. Potentially connecting with Omics, RWD and Imaging
Conformance Rules and Validation, Including CDISC Open Rules Engine (CORE)
- Implementation of FDA / PMDA Business / Validation rules vs. CDISC conformance rules
- Experience of various validation tools for SEND / SDTM / ADaM / Define-XML
- Rules coming as part of a TAUG
- Conformance rules integration into the standard governance
- Experience in use of Open Source tools
- Experience in the use of CORE, Rules Authoring Tool and generation of Rules
Global Regulatory Submissions
- Submission to FDA / PMDA / NMPA learnings
- Submitting around the globe, submission experience with other Health Authorities e.g. EMA Clinical Trials Raw Data Pilot
- Supporting FDA BIMO deliverables
- Achieving quality and efficiency in data submission e.g.
- Proper documentation
- How to correctly provide metadata in Define-XML
- Automation
- Process flow
- Impact of new FDA guidance e.g.
- Standard Safety Tables and Figures Guide
- Experience and adherence to FDA division guidance e.g., CBER Vaccine, CDER NASH, etc.
- Inclusion and diversity requirements and challenges from a standards point of view, e. g. gender, how to correctly provide metadata in Define-XML
- RWE impacts decision making by regulators – opportunities and challenges from data standards / harmonization / review
Standards Governance, MDR and CDISC 360 - User Experiences
- How to handle CDISC versions before submission / across standards / regulatory agency requirements
- How do you handle non-adherence in terms of submission to one or multiple regulatory agencies, how do you ensure adherence?
- Metadata-driven governance. Collected element usage. How do you determine what data you aren’t using in the final CSR, in order to simplify collection?
- Graph databases / linked data implementations
- Automation experiences
- Implementation of USDM / Transcelerate DDF
Artificial Intelligence (AI) and Impact of CDISC Standards on Business Optimization
- Applying AI in Life Sciences supporting Drug Development
- Applications of AI to extract value from Real World Data
- Experiences using AI with large data handling from devices / sensors, images, other(s)
- Regulatory and CDISC positioning on usage of AI
- Meaningful realized benefits
CDISC Foundational Standards
- CDASHIG 2.3/3.0
- Sexual Orientation & Gender Identity (SOGI)
- SDTM/IG 2.1/4.0
- ADAM
- ADaM Metadata Submission Guidelines 1.0
- ADaM popPK Implementation Guide 1.0
- Analysis Results Standard v1.0
- Advanced use cases
- SEND/IG 2.1/3.2
- Define-XML v2.1
- TAUG
OTHER TOPICS TOWARDS CDISC STANDARDS
You are welcome to submit an abstract on any CDISC model experience, its implementation and associated planning. Related use cases are encouraged. We want to hear your success stories even if they do not fit into the topic areas mentioned. CDISC is an open and multidisciplinary standard which interfaces with many areas and we are eager to hear about your experiences working with standards.