About this Research Topic
This Research Topic on “Digital Health” intends to focus on characteristics unique to healthcare and wellness, which have long-known challenges around clinical, regulatory, ethical, access, mechanical, sensor usage, physiological, interoperability, communication, and electronic recording (e.g. EMR/EHR, health information exchange). These factors are not typically seen in other technological and industry areas.
In particular, we are interested in articles that address these types of challenges utilizing digital technologies, both established and more recent - including, among others:
• data generation and sourcing through novel sensors, including imaging, electrophysical, and wearables;
• data interoperability, sharing, and integration such as health information exchange and biobanks;
• data analytics such as machine learning and AI;
• digitized feedback and distributed implementation enabling telehealth and self-monitoring;
• data regulation and governance innovations that underpin these breakthroughs, both technological (e.g. blockchain) as well as regulatory and organizational (e.g. GDPR, ACOs).
As a cross-disciplinary Research Topic, articles from all disciplines are welcome, not only because there are technological breakthroughs at every layer, but also because there are certain intelligent trade-offs to be made between multiple layers involved, hence the need for, and significance of, input from multi-disciplinary research. Efficiency gains achieved on one front often invite counterproductive difficulties in others, thus requiring careful study and strategic design choices that facilitate cross-disciplinary synergies and minimize and even eradicate potential technological bottlenecks. Each one of your articles will be a building block which will establish a more solid foundation upon which novel digital health solutions will be delivered to consumers, patients, professionals, and the public.
Keywords: clinical decision support, regulatory science, medical AL/ML, health data privacy, data and algorithmic interoperability, data generation, medical sensing
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.