Connect Streams

Stream

Stream Description 

Stream Chairs

Analytical Risk-based Monitoring

 

(AR)

 

The purpose of the Analytical Risk-based Monitoring Stream is to share innovative approaches leveraging real-time access to clinical data and analytics in proactively managing clinical operation risk. Analytical Risk-based Monitoring (ARBM) is a growing field in clinical trial execution. Operation execution of a sustainable risk management strategy in clinical development requires a seamless approach for review of critical data in real time. This approach requires leveraging and relying on new modalities, analytics and approaches for identifying and monitoring critical data. During set-up and execution, this requires a process for identification and monitoring of critical endpoints, associated data and processes required for collection of those data.

Shafi Chowdhury 

Annelies
van Zeveren

Analytics & Statistics

 

(AS)

The Analytics & Statistics Stream is designed to allow members to share ideas on the interface between statistics, analytics and computing. This can be software-related, for example how computing packages can be used to resolve data analytics or statistical issues within the clinical trial field. It can also be statistical in nature, such as improving programmers' understanding of statistical and analytical methods.

Corinna Miede

Alex Hughes

 

Application Development

 

(AD) 

Presentations within the Application Development Stream cover the development (and deployment) of both applications and technical solutions designed to assist us in our daily job, either directly or indirectly. Presentations may also include migration and upgrade projects.

Stephen Griffiths

Hervé Guimard

Coding Tips & Tricks

 

(CT)

The Coding Tips & Tricks Stream is dedicated to brief presentations on real-life code, programming tips, efficiency techniques, undocumented features, useful algorithms, macros and other creative uses of software.

John van Bemmelen

Kriss Harris

Data Handling

 

(DH)

The Data Handling Stream is dedicated to many aspects of data handling and database management in life sciences and the pharmaceutical industry. These aspects include extraction and transformation of raw data, metadata definition and handling, data quality, validation and acceptance, analysis data processing, data de-identification and transparency, data mining, master data management and clinical data warehousing. With the increasing complexity of clinical trial data and greater emphasis on delivery of high-quality and submission-ready data, novel and state-of-the-art data-handling techniques for managing clinical data are needed and appropriate for this Stream.

Joerg Guettner

John Moone 

Data Standards & Governance

 

(DS)

The structure and semantics of clinical data has become the subject of regulated standardisation, being mainly defined by various CDISC data standards and the respective documentation requirements. Many of these particular standards are integrated into superordinated frameworks, like BRIDG, SHARE and RDF. Effective implementation and governance of standards becomes vital for the acquisition, exchange, analyses, archival and submission of clinical data and metadata. The Data Standards & Governance Stream focusses on the foundational aspects of existing, as well as future, clinical data standards, covering topics like the underlying concepts, descriptions, explanations, interpretations and processes to support the implementation, governance and compliance.

Michael Knoessl

Beate Hientzsch 

Data Visualisation

 

(DV)

A picture is worth a thousand words! For centuries, people have depended on visual representations such as charts and maps to understand information more easily and quickly. We collect massive amounts of data during the course of a clinical study, which cannot be digested just by looking at tables and listings. How do we communicate information clearly and efficiently to users? Data visualisation is this powerful technique that is used not only to communicate with the scientists but also to understand, clean and interpret the data and even make decisions based on it. The Data Visualisation Stream focusses on data visualisation examples, tools and techniques which can be used in our field to leverage data to better support drug development.

Vincent Buchheit

Holger Langkabel 

*NEW*
Leadership & Innovation 

 

(LI)

"Innovative thinking, pushing boundaries and providing a platform for sharing these experiences"

The Leadership & Innovation Stream covers all aspects related to the management and leadership of processes and initiatives. We are interested in innovative thinking and pushing boundaries and will provide a platform for sharing these experiences. We welcome and encourage ideas from within and outside of the industry.

Jasmine Kestemont

Leanne Johnstone

Gary Kennedy

Machine Learning

 

(ML)

The topic of machine-driven intelligence has long been a realm mostly occupied by science fiction and futurist speculation. Academic theories from the earlier parts of the 20th century, refined over decades and combined with a steady progression in computing power, have turned the possibility of machine learning and artificial intelligence into a reality. The Machine Learning Stream is focussed on continuing to introduce the community to the topic of machine learning and artificial intelligence and exploring how we can utilise these approaches to drive clinical development and better outcomes for patients.

Ian Fleming

Azad Dehghan 

*NEW*
Personnel Management

 

(PM)

"Techniques, tools and experiences for effective management of people or teams"

The Personnel Management Stream is aimed at anyone who manages a person or a team. Topics covered could include methods for handling issues faced while line managing, experiences of becoming a manager from new or experienced managers, and examples of tools or techniques used by managers to aid in their role.

Kathryn Wright

Jorine Putter

Irina Sargsyan

Posters

 

(PP)

Posters cover a wide variety of topics in a poster board rather than a formal lecture. Posters are ideal for presentations that include graphics, source code, statistical concepts or thought-provoking concepts that invite participants to review at their own pace. Being a poster presenter gives you a great opportunity to share your thoughts with the others without time constraints so that you and those who are interested in your ideas can have a fruitful discussion and benefit from this format of presentation.

Jinesh Patel

Frank Biedermann

Yuliia Bahatska 

 

*NEW*
Professional Development

 

(PD)

"Tools and skills to advance your career"

The Professional Development Stream provides an arena where employees and management alike can discuss and learn about the nuances of career advancement, providing those attending with the opportunity to learn new skills aimed at complementing already successful technical skills. In a rapidly changing industry, having a well-rounded approach to work and career provides individuals with a competitive advantage; and this year the Professional Development Stream will include a hands-on workshop, meaning that participants can not only learn about critical self-development skills but also have the opportunity to practise those skills in a collaborative and focussed environment.

Jennifer Dootson

Diana Stuart

AJ de Montoie

Real-world Evidence

 

(RW)

The Real-world Evidence Stream is dedicated to the handling and analysis of all kinds of observational data including but not limited to registries, health claims and medical records databases, and non-interventional prospective and retrospective studies. The Stream will focus on a programmer’s perspective on the challenges the analysis of real-world data holds, such as extremely large data sets, dealing with dirty data, integration with RCTs and issues with regard to validation and standardisation. These challenges need to be dealt with and require specific analysis methods and programming techniques, such as data standardisation, matching algorithms, propensity scores and various kinds of sensitivity analyses.

Berber Snoeijer

Ali Dootson

Scripts & Macros

 

(SM)

Statistical programmers are exposed daily to repeated tasks. The use of macros such as SAS macros, or, more generally, script languages such as Visual Basic, JavaScript, DOS, etc. does facilitate the automatic execution of these repeated tasks. Moreover, organisations do create SAS macros or R routine libraries to cover statistical package “gaps” such as new statistical methods and statistical graphic representation not yet implemented, standard derivation algorithms or any innovative methods to handle and retrieve data. The Scripts & Macros Stream encourages users to share practical examples to show the use of the most common script languages and how they can be used in everyday statistical programming activities to save time on repeated tasks. Examples are, but not limited to, DOS, to automatically batch-execute a set of SAS programs, and a SAS macro library, to handle standard CDISC derivations.

Angelo Tinazzi

Elena Glathe

Software Demonstrations

 

(SD)

The Software Demonstrations Stream focusses on the demonstration of new or recently released software and tools. It may include new programming platforms, reporting systems or data management tools and new innovative applications utilising a variety of new and established technologies. Each demonstration has the goal of highlighting potential for enhanced optimisation, increased efficiency or user-friendliness in the day-to-day undertaking of biometrics processes and tasks.

Cathal Gallagher

Silke Hochstaedter

Standards Implementation

 

(SI)

The Standards Implementation Stream is dedicated to the implementation of industry standards, such as CDISC, to support the acquisition, exchange, analysis, submission and archival of clinical data and metadata in life sciences and the pharmaceutical industry. The Stream focusses on the implementation of these standards using scripts, macros and tools that are not coding language and platform-specific.

Edwin van Stein

Nick DeDonder

Submissions & Agencies

 

(SA)

The Submissions & Agencies Stream focusses on sharing knowledge, experience and best practice in the preparation, delivery and defence of submissions in the current environment of regulations that include standards and guidance from government agencies. Encompassing all aspects of submission-related activities such as interactions with health authorities, site inspections and audits, we invite you to share your experiences, and welcome open discussion on the challenges and benefits of working in a highly regulated industry.

Stephen Harrison

Dave Barrett

Trends & Technology

 

(TT)

The Trends & Technology Stream concentrates on the many new and emerging trends within life sciences that have an impact on those working with data. These could include hot topics driven by external factors such as public opinion and the application of new technologies in the life sciences sector.

Rob Horton

Elsa Lozachmeur 

 

 

 

 

 

 

 

 

 

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