Scholarlink

<p>The increasing integration of digital health technologies within healthcare systems necessitates a comprehensive understanding of patient perceptions. A quantitative, cross-sectional survey approach is employed, using inferential statistical analysis to evaluate the relationships between these factors and patient perception. The analysis employs multiple regression and t-tests, revealing significant associations between usability, security, privacy, and patient perceptions. Additionally, non-variable factors such as age, education level, and technological literacy are identified as important demographic differences. These findings provide essential insights for the optimization of digital health platforms in fostering positive patient outcomes. The results indicate that usability, accessibility, and reliability &amp; security significantly influence patient satisfaction, while privacy &amp; confidentiality and integration have a weaker impact.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Study on patient perception on digital health platforms in Delhi National Capital Region

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年4月20日

查看全文
  • Bhawna Sharma,
  • A. Bhoomadevi,
  • Amrish Chandra

摘要

The increasing integration of digital health technologies within healthcare systems necessitates a comprehensive understanding of patient perceptions. A quantitative, cross-sectional survey approach is employed, using inferential statistical analysis to evaluate the relationships between these factors and patient perception. The analysis employs multiple regression and t-tests, revealing significant associations between usability, security, privacy, and patient perceptions. Additionally, non-variable factors such as age, education level, and technological literacy are identified as important demographic differences. These findings provide essential insights for the optimization of digital health platforms in fostering positive patient outcomes. The results indicate that usability, accessibility, and reliability & security significantly influence patient satisfaction, while privacy & confidentiality and integration have a weaker impact.