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Background <p>Digital-intelligent healthcare is essential for high-quality, accessible medical services, yet its adoption is hindered by varying public attitudes.</p> Objective <p>This study investigates determinants of public acceptance and explores reasons for suboptimal implementation to inform sustainable, patient-centered pathways.</p> Methods <p>We employed a sequential mixed-methods design grounded in the Technology Acceptance Model. A survey collected 456 valid responses, with 340 valid for structural equation modeling after data screening, followed by semi-structured interviews with eight purposively selected individuals (clinicians, students, educators, elderly patients) to triangulate findings.</p> Results <p>Perceived usefulness (PU) and perceived ease of use (PEOU) significantly influenced behavioral intention (BI). Attitude played a complete mediating role between PU and BI (indirect effect = 0.784, <i>p</i> &lt; 0.01). PU was strongly predicted by subjective norms (β = 0.836, <i>p</i> &lt; 0.01) and social influence (β = 0.254, <i>p</i> &lt; 0.01). Notably, PEOU exhibited a significant negative direct effect on BI (β = -0.245, <i>p</i> &lt; 0.01), suggesting a “trust threshold” where excessive simplification may undermine confidence in high-stakes medical contexts. Qualitative data corroborated these findings, revealing concerns over data security, operational complexity, and inadequate age-friendly design.</p> Conclusion <p>Public acceptance of digital-intelligent healthcare is a socio-technical process mediated by attitude and constrained by trust barriers. Effective implementation requires multi-level strategies: alleviating individual technology anxiety, fostering organizational digital leadership, and building a collaborative policy-technology-society network to achieve truly patient-centered, high-quality development.</p>

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Research on the implementation path of digital-intelligent healthcare based on the TAM model from the perspective of high-quality development

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年3月27日

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  • Zijue Qi,
  • Huize Han,
  • Yidayetula Abuduaini,
  • Aikeda Litipu,
  • Jun Li

摘要

Background

Digital-intelligent healthcare is essential for high-quality, accessible medical services, yet its adoption is hindered by varying public attitudes.

Objective

This study investigates determinants of public acceptance and explores reasons for suboptimal implementation to inform sustainable, patient-centered pathways.

Methods

We employed a sequential mixed-methods design grounded in the Technology Acceptance Model. A survey collected 456 valid responses, with 340 valid for structural equation modeling after data screening, followed by semi-structured interviews with eight purposively selected individuals (clinicians, students, educators, elderly patients) to triangulate findings.

Results

Perceived usefulness (PU) and perceived ease of use (PEOU) significantly influenced behavioral intention (BI). Attitude played a complete mediating role between PU and BI (indirect effect = 0.784, p < 0.01). PU was strongly predicted by subjective norms (β = 0.836, p < 0.01) and social influence (β = 0.254, p < 0.01). Notably, PEOU exhibited a significant negative direct effect on BI (β = -0.245, p < 0.01), suggesting a “trust threshold” where excessive simplification may undermine confidence in high-stakes medical contexts. Qualitative data corroborated these findings, revealing concerns over data security, operational complexity, and inadequate age-friendly design.

Conclusion

Public acceptance of digital-intelligent healthcare is a socio-technical process mediated by attitude and constrained by trust barriers. Effective implementation requires multi-level strategies: alleviating individual technology anxiety, fostering organizational digital leadership, and building a collaborative policy-technology-society network to achieve truly patient-centered, high-quality development.