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http://dx.doi.org/10.14400/JDC.2022.20.5.681

A Keyword Network Analysis of Standard Medical Terminology for Musculoskeletal System Using Big Data  

Choi, Byung-Kwan (College of Medicine, Pusan National University Hospital)
Choi, Eun-A (Dept, of Nursing, Daedong College)
Nam, Moon-Hee (Dept, of Nursing, Daedong College)
Publication Information
Journal of Digital Convergence / v.20, no.5, 2022 , pp. 681-693 More about this Journal
Abstract
The purpose of this study is to suggest a plan to utilize atypical data in the health care field by inferring standard medical terms related to the musculoskeletal system through keyword network analysis of medical records of patients hospitalized for musculoskeletal disorders. The analysis target was 145 summaries of discharge with musculoskeletal disorders from 2015 to 2019, and was analyzed using TEXTOM, a big data analysis solution developed by The IMC. The 177 musculoskeletal related terms derived through the primary and secondary refining processes were finally analyzed. As a result of the study, the frequent term was 'Metastasis', the clinical findings were 'Metastasis', the symptoms were 'Weakness', the diagnosis was 'Hepatitis', the treatment was 'Remove', and the body structure was 'Spine' in the analysis results for each medical terminology system. 'Oxycodone' was used the most. Based on these results, we would like to suggest implications for the analysis, utilization, and management of unstructured medical data.
Keywords
Data base(D/B); Medical record; Medical terminology; Keyword network analysis;
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Times Cited By KSCI : 5  (Citation Analysis)
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