JMIR Publications

ABSTRACT

Patient-generated health data (PGHD) refers to health-related information collected by patients themselves, serving as a vital supplement to traditional clinical data. In the era of big data, the potential of PGHD in the long-term management of chronic diseases and cancer is increasingly recognised, with its clinical application becoming a key issue in the digital health field. The proliferation of smart devices and wearable technology, improvements in sensor performance, and rapid advancements in artificial intelligence have made the collection of PGHD more convenient. Existing clinical evidence preliminarily indicates that PGHD may alleviate symptom burden in lung cancer patients and enhance the quality of cancer care. However, significant challenges remain in effectively integrating PGHD with clinical data, conducting reliable analyses of vast PGHD datasets, and ultimately incorporating it into routine clinical practice. Furthermore, regulatory bodies, healthcare institutions, and device manufacturers must collaboratively establish policies and standards to safeguard patient data security and privacy. While leveraging digital tools for PGHD collection, attention must also be paid to economic costs and technical barriers to broaden coverage and promote health equity. The potential and application models of PGHD in the long-term management of lung cancer patients warrant further exploration. Against this backdrop, this paper proposes a WeChat Official Account-based model for PGHD collection and remote management, aimed at implementing sustainable symptom monitoring and health guidance for lung cancer patients. This approach seeks to advance the widespread clinical application of PGHD and further explore its potential value in promoting patient self-management and improving quality of life.