Technically, an unmissable event!


This year’s ACDM conference in Brussels is arguably one of the most technically involved, and scientifically interesting events we have ever put on. With an aim to provide attendees an awareness of what advancements there are in medical data collection, monitoring and patient care, it is one conference you really should not miss. With only 1 week to book your place, join us and our sponsors on this intriguing technical journey.

Click here for full programme, exhibitor information and online booking

Key Note speaker Dr Kevin Fong

‘Monitor Me’ - Based on his BBC Horizon documentary ‘Monitor Me’ Dr Kevin Fong explores a medical revolution inspired by health-related apps and gadgets to monitor our-selves


Digital Clinical Trial Medication Adherence: From Guesswork to Data Point
Jim Streeter, Oracle

Advances in digital medicine or ‘smart pills’ and EDC, enable accurate and timely insight into medication adherence. Exploring how these advances can help researchers, data managers and study managers to confirm when and how much medication was actually ingested, eliminating imprecise and manual processes, reducing monitoring costs, removing potential for patient bias, making rapid go/no-go decisions, effective mid-stream study adjustments, and monitoring improvements. 


Data Management Application of Intelligent Monitoring Tools
Jonathan Andrus, BioClinica

Focussing on how participants can use tools and technologies available today, to create risk-based, data management monitoring plans for the effective management of their clinical trial data. The talk aims to provide real-world examples of approaches that can be taken, to help organizations realize what and how they can apply tools and processes to enable clinical data review, based on an intelligent and statistically based approach.


Creating Therapeutic Value with Digital Medicines
Lorenzo DiCarlo, Proteus Digital Health Inc.

Illustrating tiny ingestion sensors have been encapsulated pharmaceutical tablets, recording of ingestion dates and times, and physiologic metrics, that can be relayed automatically to a computerized device for display to aid decisions for the therapeutic treatment of the patient. 


eSource Implementation
Demetris Zambas, Novartis

The displacement of paper data collection methods for electronic source methods of data capture(eSource), surfaces many real and perceived challenges. This transformation presents both opportunity and challenge in care and research, but how is clinical data management driving the esource revolution? 


Incorporating Biomarkers in Clinical Trials: Data Challenges and Best Practices
Claudio Garutti, Oracle

The use of biomarkers is creating its own set of data challenges especially around how to effectively collect, manage and analyse genomic data in a trial. We explore best practices and critical capabilities around biomarkers.


Technology Trends Transforming Clinical Research
John Cline, Datatrak

Mobile/Wearable Devices, Social, Big Data, and Cloud Computing are explored and how the growth of mobile platforms has enabled the development of wearable devices and their combined impact on transforming clinical trials.
The rapid growth of apps and wearable health monitors and the overall benefit to improving patient health, will be discussed.


System Validation (TrialMaster® EDC) - The Importance of Being Compliant
Maibritt Haugaard Møller, Larix A/S

Validating the systems used in clinical trials and keeping them in a validated state is crucial for companies in our industry. Quality is commonly defined as fitness for purpose, so quality of information generated should therefore be sufficient to support good decision making. We discuss a risk based approach to system validation.


Making BIG DATA smaller….. Simple Rules to Better Data Management and Improved Pharmacovigilance
Tomás O’Mahoney, EUCROF, Late Phase working Group

In the current environment, with the number of NIS on the rise, there is a need to seek efficiencies in processes and procedures, but is it adding inefficiencies? From experience, running NI studies along the same processes can lead to inefficiencies and cost, for both the clinical investigator teams and our staff. We highlight how following inappropriate processes can have a negative impact on the study progress and provide guidance as to how this situation could be avoided.


eSource:  A Proposal for Defining Procedural, Contractual and contractual Conformance

Introducing the investigator eSource readiness assessment tool (applicable to EHRs and systems that are not funded or primarily intended for clinical research) alongside established eSource conformance criteria that are applicable to “sponsored” tools such as EDC, ePRO/eCOA, IVRS etc. Aiming at providing a one-stop form and process for the CRA, auditor even inspectors and sites, to document the appropriateness of systems, when they are used to collect data that are considered electronic source, for regulated clinical research activities.


EHR4CR – Preparing for Deployment
Richard Perkins, eClinical Forum

EHR4CR is one of the largest public-private partnerships aimed at providing adaptable, reusable and scalable solutions for re-using patient level data from Electronic Health Record systems for Clinical Research. Focussing on results of the pilots in protocol feasibility, business modelling activities and benefits of EHR4CR from stakeholder perspectives, details of the EHR4CR network and the program for early adopters.


 Quanticate   Kubo  Nutricia  

 PHT    SQN  XClinical Omnicomm

 BioClinica    Oracle

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