How can we design trials for our digital health tools so they are rigorously validated and regulated? Should we use the same approach pharma companies use for drug trials? What comparator should we select? How do we deal with product iterations? What is the best evidence generation strategy for our product?
HealthXL members often ask these questions in our meetings, seeking advice and best practices in trial design for digital health solutions. However, finding the answers can be difficult. For this reason, we are organizing this masterclass led by Akili Interactive; they will share some of their learnings about:
Types of studies we can use for digital health products (descriptive vs. analytical trials vs. others) and selecting the comparator.
How do we ensure the representativeness of the population? How to wisely pick the participants of the study? What tools do we have to enrich the population (for example, predicting who will be responders and non-compliers)?
Endpoints selection alignment with your regulation and commercial strategies. How do you select the right endpoints for your trial?
Real-world evidence (RWE) is an area of great potential for DTx. How can you harness RWE to show effectiveness, safety or new indications to the different stakeholders?