Understanding the scalability of personalised monitoring within indoor spaces

Health and wellness/well-being are multifaceted topics further complicated when trying to understand the environmental impact. Typically, there has been a one size fits all approach when trying to understand the 3-way interaction, but that is a limited approach. Equally, measurement (of each) has often used a limited set of outcomes during short periods to provide insight. A more robust understanding of health and well-being within environments may require longitudinal/continuous assessment that holistically targets individuals. Therefore, there is a growing requirement for careful data management, individual-first methodologies, scalable research designs and new analytical approaches, e.g., artificial intelligence. That presents many challenges but interesting research opportunities for the field of digital medicine.

Automated summary

Understanding the environmental impact on health and well-being is complex and multifaceted. Previous approaches have been limited in their one size fits all understanding of the three-way interaction. There is a need for longitudinal assessment and a holistic focus on individuals, which requires careful data management, individual-first methodologies, scalable research designs, and new analytical approaches such as artificial intelligence. This presents challenges but also interesting research opportunities for digital medicine.