JMIR Publications

ABSTRACT

Person-generated data (PGD) are a valuable source of information on a person’s health state in daily life and in between clinic visits. To fully extract value from PGD, healthcare organizations must be able to smoothly integrate data from PGD devices into routine clinical workflows. Ideally, to enhance efficiency and flexibility, such integrations should follow re-usable processes that can easily be replicated for multiple devices and data types. Instead, current PGD integrations tend to be one-off efforts entailing high costs to build and maintain custom connections with each device and their proprietary data formats. This paper formulates the integration of PGD into clinical systems and workflow as a PGD integration pipeline. reviews the functional components of such a pipeline, and illustrates the value and feasibility of a standards-based pipeline that will more flexibly accommodate the complexity, scale, and rapid evolution of today’s health care systems.