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| Details of Report |
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| Title: Human and automated coding of rehabilitation discharge summaries according to the International Classification of Functioning, Disability, and Health |
| Report ID: DBMI-2006-018 |
| Authors: Kukafka R, Bales ME, Burkhardt A, Friedman C |
| Type of Publication: Journal Article |
| Publication name: J Am Med Inform Assoc |
| Year of Publication: 2006 |
| Volume: 13 Issue: 5
Page: 508-15 |
| Abstract: Objective: The goal of this research was to investigate human and automated coding of functional status information using the ICF framework. Design: We extended an existing natural language processing (NLP) system to encode rehabilitation discharge summaries according to the ICF. Measurements: We conducted a formal evaluation, comparing the coding performed by expert coders, non-expert coders, and the NLP system. Results: Automated coding can be used to assign codes using the ICF, with results similar to those obtained by human coders, at least for the selection of ICF code and assignment of the performance qualifier. Coders achieved high agreement on ICF code assignment. Conclusion: This research is a key next step in the development of the ICF as a sensitive and universal measure of functional status. It is worthwhile to continue to investigate automated ICF coding. |
| Notes: |
| Citation: Kukafka R, Bales ME, Burkhardt A, Friedman C. Human and automated coding of rehabilitation discharge summaries according to the International Classification of Functioning, Disability, and Health. J Am Med Inform Assoc. 2006;13(5):508-15 |
| Keywords: classification, evaluation studies, world health, terminology, natural language processing, public health |
| Full Report: Web Link (doc) version | |