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Employing computational linguistics techniques to identify limited patient health literacy: Findings from the ECLIPPSE study.

Dean SchillingerRenu BalyanScott A CrossleyDanielle S McNamaraJennifer Y LiuAndrew J Karter
Published in: Health services research (2020)
Since health literacy is a potentially remediable explanatory factor in health care disparities, the development of automated health literacy indicators represents a significant accomplishment with broad clinical and population health applications. Health systems could apply literacy profiles to efficiently determine whether quality of care and outcomes vary by patient health literacy; identify at-risk populations for targeting tailored health communications and self-management support interventions; and inform clinicians to promote improvements in individual-level care.
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