Abstract
We present a novel annotation task evaluating a patient’s engagement with their health care regimen. The concept of engagement supplements the traditional concept of adherence with a focus on the patient’s affect, lifestyle choices, and health goal status. We describe an engagement annotation task across two patient note domains: traditional clinical notes and a novel domain, care manager notes, where we find engagement to be more common. The annotation task resulted in a κ of .53, suggesting strong annotator intuitions regarding engagement-bearing language. In addition, we report the results of a series of preliminary engagement classification experiments using domain adaptation.
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CITATION STYLE
Faulkner, A., & Rosenthal, S. (2018). Toward Cross-Domain Engagement Analysis in Medical Notes. In BioNLP 2018 - SIGBioMed Workshop on Biomedical Natural Language Processing, Proceedings of the 17th BioNLP Workshop (pp. 189–193). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w18-2325
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