Fundamentally, it is the health of those individuals occupying a building and how this is affected by a building that is a central concern in modeling and measuring healthy buildings. Emerging and increasingly sophisticated smartphones enable a novel approach to analyzing Healthy Buildings through real-time, location-specific, anonymous data capture associated with each building occupant over time. This involves manual, semi-automated and automated data capture via the occupants’ smartphones. This in effect can create a composite, time-varying healthy building measure that is constituted from these occupant-centric data sources. In this paper we present a framework and architecture for such a system to measure the state of a healthy building continuously over time. The benefits and challenges of this approach are considered via case study examples and a comparative analysis approach. Finally, some aspects of the technical deploy-ability of a system based on such a framework and architecture are discussed.