There has been a recent revolution in the development of digital health solutions for various chronic conditions. Brain-related illnesses will be at the forefront of digital health revolution, as their course can be monitored, outcomes can be measured via digital phenotyping, and interventions can be delivered digitally and remotely. Furthermore, the challenges and opportunities in digital brain health have been further highlighted by the ongoing COVID-19 pandemic, which has added fuel to an already brewing mental health crisis. However, there are relatively few examples of digital health solutions that have been widely adopted in real-world health care settings and are measurably improving patient outcomes or helping health care systems deliver efficient and patient-centric care. This “translational gap,” needs to be addressed to realize the full potential of digital health technologies.
In this call, we would like to invite contributions with original data and approaches that focus on bridging this translational gap. This would include studies describing validation and expansion of digital health solutions into real world and healthcare settings. In particular, we would like to invite research that generates evidence for demonstrating clinical utility and addresses challenges of integration of digital biomarkers that enable early detection, disease monitoring and predictive and precision medicine into clinical care pathways.
We encourage submissions that include validation data generated from studies that were co-designed with active participation of people living the condition and their caregivers (living laboratories) and collaborative cross-validation efforts across geographies and distinct populations.
We strongly encourage submission of work that directly addresses issues of equity and bias in training algorithms and demonstrates ability of digital measures to scale globally i.e scale across languages, cultures, and geographies.
Keywords:
digital health, mental health, psychiatry, digital biomarkers, precision medicine
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
There has been a recent revolution in the development of digital health solutions for various chronic conditions. Brain-related illnesses will be at the forefront of digital health revolution, as their course can be monitored, outcomes can be measured via digital phenotyping, and interventions can be delivered digitally and remotely. Furthermore, the challenges and opportunities in digital brain health have been further highlighted by the ongoing COVID-19 pandemic, which has added fuel to an already brewing mental health crisis. However, there are relatively few examples of digital health solutions that have been widely adopted in real-world health care settings and are measurably improving patient outcomes or helping health care systems deliver efficient and patient-centric care. This “translational gap,” needs to be addressed to realize the full potential of digital health technologies.
In this call, we would like to invite contributions with original data and approaches that focus on bridging this translational gap. This would include studies describing validation and expansion of digital health solutions into real world and healthcare settings. In particular, we would like to invite research that generates evidence for demonstrating clinical utility and addresses challenges of integration of digital biomarkers that enable early detection, disease monitoring and predictive and precision medicine into clinical care pathways.
We encourage submissions that include validation data generated from studies that were co-designed with active participation of people living the condition and their caregivers (living laboratories) and collaborative cross-validation efforts across geographies and distinct populations.
We strongly encourage submission of work that directly addresses issues of equity and bias in training algorithms and demonstrates ability of digital measures to scale globally i.e scale across languages, cultures, and geographies.
Keywords:
digital health, mental health, psychiatry, digital biomarkers, precision medicine
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.