Challenges of Developing a Natural Language Processing Method with Electronic Health Records to Identify Persons with Chronic Mobility Disability.
OBJECTIVE To assess the utility of applying natural language processing (NLP) to electronic health records (EHRs) to identify individuals with chronic mobility disability. DESIGN We used EHRs from the Research Patient Data Repository, which contains EHRs from a large Massachusetts health care delivery system. This analysis was part of a larger study assessing the effects of disability on diagnosis of colorectal cancer. We applied NLP text extraction software to longitudinal EHRs of colorectal cancer patients to identify persons who use a wheelchair (our indicator of mobility disability for this analysis) We manually reviewed the clinical notes identified by NLP using directed content analysis to identify true cases using wheelchairs, duration or chronicity of use, and documentation quality. SETTING EHRs from large health care delivery system PARTICIPANTS: Patients 21 75 years old who were newly diagnosed with colorectal cancer between 2005 2017. INTERVENTIONS Not applicable MAIN OUTCOME MEASURE(S) Confirmation of patients' chronic wheelchair use in NLP flagged notes; quality of disability documentation RESULTS: We identified 14,877 patients with colorectal cancer with 303,182 associated clinical notes. NLP screening identified 1,482 (0.5% notes that contained 1+ wheelchair associated keyword. These notes were associated with 420 patients (2.8% of colorectal cancer population) Of the 1,482 notes, 286 (19.3% representing 105 patients, 0.7% of the total) contained documentation of reason for wheelchair use and duration. Directed content analysis identified three themes concerning disability documentation: (1) wheelchair keywords used in specific EHR contexts; (2) reason for wheelchair not clearly stated; and (3) duration of wheelchair use not consistently documented. CONCLUSIONS NLP offers an option to screen for patients with chronic mobility disability in much less time than required by manual chart review. Nonetheless, manual chart review must confirm that flagged patients have chronic mobility disability (are not false positives) Notes, however, often have inadequate disability documentation.
Archives of physical medicine and rehabilitation