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Process Re-Engineering and Data Integration Using Fast Healthcare Interoperability Resources for the Multidisciplinary Treatment of Lung Cancer

Process Re-Engineering and Data Integration Using Fast Healthcare Interoperability Resources for the Multidisciplinary Treatment of Lung Cancer

Our primary objective was to conduct process re-engineering in a multidisciplinary lung cancer team to address the difficulties and challenges faced by the teams in their workflow. To achieve this goal, we applied the user experience design approach to gain in-depth insights into the processes and requirements of lung cancer MDT. This project uses “step reduction” as an indicator to assess workflow rather than “time reduction.”

Ching-Hsiung Lin, Bing-Yen Wang, Sheng-Hao Lin, Pei Hsuan Shih, Chin-Jing Lee, Yung Ting Huang, Shih Chieh Chen, Mei-Lien Pan

JMIR Cancer 2025;11:e53887

Sexual Response Problems and Their Correlates Among Older Adults From the Sexual Well-Being (SWELL) Study in China: Multicenter Cross-Sectional Study

Sexual Response Problems and Their Correlates Among Older Adults From the Sexual Well-Being (SWELL) Study in China: Multicenter Cross-Sectional Study

Chronic disease is defined as one or more diseases that last for 3 months or more including cardiovascular diseases (including myocardial infarction, coronary heart disease, angina, other forms of heart disease, and hypertension), arthritis, diabetes, or hyperglycemia, cerebral hemorrhage or stroke, chronic lung disease (excluding asthma), Parkinson disease, epilepsy, hyperlipidemia, gout or hyperuric acid, chronic gastroenteritis and chronic pain.

Bingyu Liang, Chen Xu, Bingyi Wang, Xinyi Li, Xin Peng, Ying Wang, Hui Li, Yong Lu, Xiaopei Shen, Lin Ouyang, Guohui Wu, Maohe Yu, Jiewei Liu, Xiaojun Meng, Yong Cai, Huachun Zou

JMIR Aging 2025;8:e66772

Evaluating the Content and Quality of Videos Related to Hypertrophic Scarring on TikTok in China: Cross-Sectional Study

Evaluating the Content and Quality of Videos Related to Hypertrophic Scarring on TikTok in China: Cross-Sectional Study

Three team members (J Wu, KX, and J Wang) completed the data extraction, each responsible for a specific portion of the videos. To ensure the accuracy of the data entry, we developed a unified operations manual, and cross-checking was conducted by another team member (SW) after the data entry was finished. In addition, we randomly selected 20% (30/153) of the videos for secondary verification, which resulted in a data consistency rate of over 95% (Figure 2). Flowchart for data extraction and analysis.

Jiangkun Wang, Kai Xu, Juanjuan Wu, Wen Liang, Weiming Qiu, Song Wang

JMIR Infodemiology 2025;5:e64792