Digital transformation in clinical supply has the potential to reduce site burden and eliminate errors, but has often been stalled by workflow complexity and lack of interoperable standards. This session will highlight how barcodes and blockchain together provide a real-time picture of clinical supply inventory for all stakeholders – unlocking greater operational efficiencies and supporting the common effort to bring groundbreaking new drugs to market.

In the increasingly complex world of clinical trials, utilizing modern technology redefines the supply chain. Learn how to optimize your supply chain strategy and overcome the challenges associated with complex study designs using advanced technology solutions.

Signant Health will give a brief overview and demonstration of the new DRP functionality enhancement to their SmartSignals Supplies Forecasting and Planning applications; the industry’s only fully integrated solution that puts you in full control of your clinical supply chain.

Biopharmaceutical companies face increasing pressure to accelerate the timelines for development, and the need for rapid post approval capacity ramp-up. This requires a much faster and streamlined transition from the clinical supply chain to the commercial supply chain. The fast scaleup of COVID-19 vaccine and therapeutics from clinical to commercial have accelerated the expectations. This talk will focus on opportunities to design the clinical supply chain in ways that can enable more rapid transition to commercial supply, especially using digital technologies.

This presentation discusses how Supply Chain and Clinical Trial Teams can utilize Interactive Response Technology for Clinical Trials in the face of high speed timelines and reduced budgets, includes a look at what IRT can do for your study and Supply Chain Management, how to choose the right vendor, how to contract with preferred providers, how to set up basic standards, and how to ensure quality systems every time.

Sponsors and CROs need more than change management to operationalize decentralized trials. In this session, Kyle Hogan will outline the approaches sponsors and CROs can take to build value in the decentralized trial participant journey, from pre-implementation to study launch and monitoring. 

Delays in clinical trial patient enrollment are significant challenges for sponsors, especially for biomarker-targeted investigational therapies associated with rare genomic variants. Join us and discover the solutions offered by SOPHiA GENETICS, leveraging insights from multimodal datasets - including 770’000 genomic profiles - curated across 780+ healthcare institutions. We can better enable biomarker-driven clinical trials in oncology and inherited rare disorders to meet recruitment goals by identifying potential sites worldwide.

Distributed Ledger Technology has been widely adopted in the Financial sector, unlike the Pharmaceutical and Healthcare industries.  With the rise of digital health, e-patients, and patient empowerment, could blockchain be the game changer?  Could we optimize and accelerate the drug development process and access to better care?  Learn more about PharmaLedger project and the Clinical Trial and Health Data Use Cases using IoT and machine learning.

The global pandemic has accelerated changes in the way patients, physicians and other stakeholders conduct clinical trials through the use of digital technologies and remote interactions.  Yet trust, transparency and security of data remains a concern which impacts patient engagement and confidence in the results.  The e-consent use case aims to leverage the informed consent on blockchain technology to increase patient empowerment and to transform the future conduct of clinical trials by improving trust, transparency, and security.

Architectures for the IoT medical devices typically rely on transmitting data to centralized cloud servers which often generate isolated data silos in different medical devices platforms and concerns of trust and lack transparency in data processing, manipulation and concealment of IoT data. To overcome these downsides, the PharmaLedger IoT and Personalized Medicine use case provides data sharing schemas supporting data integrity and provenance, under consenting and domain-specific privacy principles. 

This presentaton will be a case study where usual site stock management is not efficient enough, aiming to understand how fractional prediction works and how it can be applied, and provide insight into how it addresses protocol-specific challenges, resulting in a more efficient clinical supply chain.

Clinical trials often require the careful management of products that may be very precious due to scarcity or expense.  Learn how RTSM can be used to optimize the supply chain, as well as optimize the use of products at site to ensure as much of your IP as possible ends up in subjects and not in the returns or destruction process.