Temporal Shifts in Perceptions of Hospital Healing Design During COVID-19: A Text Mining Approach

초록

The COVID-19 pandemic has fundamentally transformed public perceptions and expectations of healthcare environments and hospital spaces. This study aims to analyze changes in public awareness of healing design in Korean hospitals before and after COVID-19 using social media big data, and to propose appropriate directions for hospital healing design in the post-COVID era. To achieve this, data were collected from blog and café posts on major Korean portal sites, Naver and Daum, using TEXTOM. The search keywords were based on the study’s target space, “hospital,” and the central concept of “healing design.” Additional terms such as “healing environment” and “healing space,” which represent sub-concepts of healing design identified in previous studies, were also included to ensure a comprehensive data collection. Based on the collected data, frequency analysis, TF-IDF analysis, 1-mode network matrix analysis, centrality analysis, and CONCOR analysis were conducted. The analysis revealed that public perceptions of hospital healing design have changed across the pre-, mid-, and post-COVID-19 periods. In particular, hospital spaces have been shifting from purely functional environments to a new design paradigm that integrates functionality with emotional recovery elements. Consequently, healing design in the post-COVID era is expected to emphasize emotionally and psychologically supportive environments, along with system-based integrated designs that balance functionality and aesthetics.

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