Text-Mining Analysis of Vision Statements Based on Korean Hospital Characteristics.

Q2 Medicine

Hospital Topics Pub Date : 2025-07-07 DOI:10.1080/00185868.2025.2524816

Ji-Hoon Lee, Duk-Young Cho, Sang-Sik Lee

引用次数: 0

Abstract

This study aimed to identify the status of hospital visions in Korea and understand the differences in vision based on hospital characteristics by conducting text mining. We collected 230 vision sentences from 85 Korean hospitals in 2024 through their websites. Major frequent words in visions were "Hospital," "Healthcare," "Lead," "Center," "Treatment," "Trust," "Patient," "Research," "Best," and "Customer" counted over 15 times. As a result of network analysis, six clusters were formed. We confirmed the recent trends in hospital visions and related important words by hospital characteristics, such as ownership, type of hospital, and location.

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基于韩国医院特征的视觉语句文本挖掘分析。

本研究旨在通过文本挖掘来确定韩国医院视觉的现状，并了解基于医院特征的视觉差异。我们从国内85家医院的网站上收集了2024年的230句视力句子。幻象中出现频率最高的词是“医院”、“医疗保健”、“领导”、“中心”、“治疗”、“信任”、“病人”、“研究”、“最佳”和“客户”，出现次数超过15次。通过网络分析，形成了6个集群。我们根据医院的所有权、医院类型、医院位置等特征，确认了医院愿景和相关重要词汇的最新趋势。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Hospital Topics Medicine-Medicine (all)

CiteScore

1.90

自引率

0.00%

发文量

期刊介绍： Hospital Topics is the longest continuously published healthcare journal in the United States. Since 1922, Hospital Topics has provided healthcare professionals with research they can apply to improve the quality of access, management, and delivery of healthcare. Dedicated to those who bring healthcare to the public, Hospital Topics spans the whole spectrum of healthcare issues including, but not limited to information systems, fatigue management, medication errors, nursing compensation, midwifery, job satisfaction among managers, team building, and bringing primary care to rural areas. Through articles on theory, applied research, and practice, Hospital Topics addresses the central concerns of today"s healthcare professional and leader.