We use data to improve app validation and recommendations. Our philosophy when it comes to health apps evaluation is that patient-generated data, such as clinical outcomes (e.g. improvement of a condition measured through a patient-reported self-assessment) is as important as the evaluation of the quality of an app. Moreover, as a clinician, you always want to make sure that patients benefit from the modalities you’ve recommended to them, whether it is a drug or a Digital health tool. That’s why we measure, upon patient and clinician consent, such metrics. Data then comes back to our algorithms to make sure we can learn the efficacy of the tools to improve our recommendations. We store data in such a way that we cannot reidentify patients directly.
For more details on the importance of the Real-World Evidence, this blog article will help.