Performance of a rules-based, electronic health record-driven severe asthma case finding algorithm for clinical trial recruitment
Background Clinical trial recruitment is inefficient. New, more efficient and phenotype-targeted recruitment strategies require analysis of electronic health record data to automate severe asthma case finding. Objective To determine whether a rules-based, electronic health record-driven algorithm can reliably identify severe asthma cases among adults with asthma. Methods Three adult pulmonologists with expertise in asthma performed independent chart reviews on 148 adult asthmatics seen by subspecialists at National Jewish Health between 2013 and 2015. At least two experts independently ...
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