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Monitoring of linear growth is a well-established part of pediatric health care in the developed world.Although monitoring aims to support early diagnosis and timely treatment of disorders affecting growth, such disorders are often diagnosed late. 1 This population-based study assessed the effectiveness of a novel computerized and automated growth monitoring (AGM) strategy integrated into an electronic health record (EHR) system in the primary care setting.Our hypothesis was that compared with standard growth monitoring (SGM), the AGM strategy would result in a better diagnostic yield and facilitate earlier diagnosis of disorders affecting growth.
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Sankilampi et al. (2013) studied this question.
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