1 Accuracy thresholds and validity |
Establish guidelines for how novel digital biomarker technology should be validated; for example, methodologies to compare objective measures to more traditional self-report measures can help increase the uptake of new technologies by researchers and clinicians |
|
2 User adoption and user experience |
Excessive and continuous tracking may negatively impact user experience and result in lower engagement; prioritizing the patient experience by measuring only what matters can help reduce the measurement burden |
|
3 Technological platforms |
Consumer-facing technology (e.g., smartphones, direct to consumer wearables) may be updated regularly, forcing revalidation studies; new hardware or use of case-specific hardware can help ensure technology consistency over time |
|
4 Regulatory concerns |
A more agile regulatory framework can support innovation while ensuring safety; FDA's Digital Health Program is a step in the right direction; however, multiple stakeholders should participate |
|
5 Privacy and security |
As person-generated health data continues to grow, the risk of data breaches becomes more significant; alleviating privacy and security concerns by establishing best practices, adhering to privacy guidelines, and ensuring patients are well informed of the risks can help increase comfort of participation |
|
6 Pharmaceutical company organization |
Introducing novel technology and concepts (e.g., role of environment) into routine business operations requires top-level senior executive support and clear delineation of where such efforts live within the organization (commercial, R&D, etc.); further, ensuring that innovation efforts are tied to clear business metrics will help to better position internal efforts amongst staff |