Abstract
Sensors are implicit measurements, in that they gather data automatically from the person or from the environment. This is as opposed to explicit, where the person must manually answer a question from a questionnaire or enter an observation into a diary. Implicit measurement has an advantage in being able to gather more data, however there is always the issue of to what extent the data gathered is actionable. It is technically possible to measure every step a person takes or to measure every location a person moves to. But what would be done with such data to enable useful health management? Most measurements today mimic what is most effective for acute care, while chronic care or everyday health may be radically different.
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Schatz, B.R., Berlin, R.B. (2011). Sensors for Individual Ability (Implicit Data). In: Healthcare Infrastructure. Health Informatics. Springer, London. https://doi.org/10.1007/978-0-85729-452-4_10
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