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A Qualitative Analysis of Provider Notes of Atopic Dermatitis-Related Visits Using Natural Language Processing
Evangeline J Pierce1, Natalie N Boytsov2, Joe J Vasey3
1Lilly Corporate Center, Eli Lilly and Company, 893 Delaware St, Indianapolis, IN, 46285, USA. evangeline.pierce@lilly.com.
Introduction:
Real-world disease management of atopic dermatitis (AD) is hampered by a lack of consistency between providers that treat AD regarding assessment of severity, disease activity, and quality of life. Variability and inconsistency in documentation makes it difficult to understand the impact of AD. This study summarizes AD-related symptoms and concerns captured in unstructured qualitative provider notes by healthcare providers during visits with patients with AD.
Methods:
Provider notes were obtained for patients with AD (n = 133,025) from a USA-based ambulatory electronic health records system. The sample included both children (n = 69,551) and adults at least 18 years of age (n = 63,474) receiving treatment from a variety of specialties including primary care, dermatology, and allergy/immunology. Key skin-related words were identified from a review of a sample of notes and natural language processing (NLP) was applied to determine the frequency of the keywords and bigram patterns.
Results:
Provider notes largely focused on symptoms (primarily itch) and symptom relief rather than the impact of AD on work or lifestyle. Despite the known relationship between itch and skin pain, neuralgia was not widely documented. Compared to primary care providers, dermatologists' and allergist/immunologists' notes had more documentation of symptom-related issues. Personal and work/life burden issues were not widely documented regardless of specialty.
Conclusion:
The topics documented in case notes by healthcare providers about their patients with AD focus largely on symptoms and, to a lesser extent, treatment, but do not reflect the burden of AD on patients' lives. This finding highlights a potential care gap that warrants further investigation.
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Key Attributes include the following: