The Advancement of Research and Development (R&D) Clinical Trials using Software Automation Training Course

Part of From Inception to Commercialisation: A New Approach to Clinical Trials series:

Course overview

Time is money. Clinical trials are complex and difficult to co-ordinate and manage. Invariably, most of the process work is painstakingly labour intensive. This places a stress on the clinical team and the sites who are always under pressure to hit “key” milestone dates which have been stipulated within the protocol. Software automation of several of the primary tasks can open a field of opportunity and savings for sponsors.

There will also be an opportunity to explore other notable areas of improvement and discuss available and/or upcoming solutions to build a better understanding of the automation technology landscape which can drive change. 

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Benefits of attending

• Understand a global feasibility tool to use that can solve challenges around patient recruitment, location and site selection and patient diversity and inclusion
• Uncover ways to reduce the patient burden and minimise study amendments, whilst saving time and providing insightful real world data (RWD)
• Explore a global payment fulfilment fintech solution that has been created to cover the out-of-pocket expenses for the trial participant (across all currencies), whilst also paying sites in a timely and controlled manner and automating a standard of care outside of the USA, whilst securing global reimbursement
• Discuss notable areas of improvement upcoming or new solutions to build a better understanding of the automation technology landscape to drive change
• Investigate why a patient centric approach delivers better engagement and retention rates
• Learn how to support each other to improve outcomes in clinical trials

Who should attend?

The content will be applicable to the following biopharmaceutical professionals who help to design, develop and manage a clinical study from inception to commercialisation:

• VPs and managers
• Strategic leaders
• Data scientists and analysts
• Feasibility teams
• Study sets
• Clinical operations
• Regulatory
• Medical affairs
• IT and system integration
• Market access
• Pharmacovigilance and safety
• Diversity and inclusivity teams
• Finance teams and budget holders

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