Mobile health (mHealth) applications support health management through rich data collection and self-reflection, yet the quality of their visualizations varies widely. A key limitation is the suboptimal design of visualizations for small-screen devices. We argue that this gap is partly driven by a lack of specialized developer tools. Existing libraries primarily target desktop or general-purpose mobile use, providing limited support for health-specific semantics such as normal ranges, thresholds, and goals. As a result, developers often resort to custom solutions that are inconsistent or hard to interpret. We therefore advocate for dedicated mobile visualization libraries tailored to personal health data and mobile contexts, and discuss key design considerations including intelligent defaults, built-in health annotations, and fluid interactions. Such libraries can lower barriers, promote consistency, and enable more accessible and interpretable mHealth applications.

翻译：移动健康（mHealth）应用通过丰富的数据收集与自我反思支持健康管理，但其可视化质量差异显著。关键限制在于针对小屏幕设备的可视化设计欠佳。我们认为这一差距部分源于缺乏专业化的开发者工具。现有类库主要面向桌面或通用移动场景，对正常范围、阈值及目标等健康特定语义支持有限。开发者因而常采用不一致或难以解读的自定义方案。因此，我们呼吁开发面向个人健康数据与移动场景的专用移动可视化库，并讨论包括智能默认值、内置健康标注及流畅交互在内的关键设计考量。此类类库可降低使用门槛、提升一致性，并推动开发更易访问、更可解读的mHealth应用。