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ABSTRACT: Introduction
Foundational to a learning health system (LHS) is the presence of a data infrastructure that can support continuous learning and improve patient outcomes. To advance their capacity to drive patient-centered care, health systems are increasingly looking to expand the electronic capture of patient data, such as electronic patient-reported outcome (ePRO) measures. Yet ePROs bring unique considerations around workflow, measurement, and technology that health systems may not be poised to navigate. We report on our effort to develop generalizable learnings that can support the integration of ePROs into clinical practice within an LHS framework.Methods
Guided by action research methodology, we engaged in iterative cycles of planning, acting, observing, and reflecting
SUBMITTER: Austin EJ
PROVIDER: S-EPMC8512814 | biostudies-literature | 2021 Oct
REPOSITORIES: biostudies-literature