Mobile health applications are increasingly used in Indonesia, yet little is known about how users evaluate and experience these tools. This study aims to identify user needs, challenges, and expectations from popular Indonesian mHealth applications by analysing publicly available app reviews. We applied a mixed-methods approach, combining automated preprocessing with qualitative thematic coding. The dataset included 100,000+ user reviews from leading mHealth apps, with analysis supported by inter-rater reliability checks and AI-assisted keyword identification. The findings reveal recurring issues of usability, reliability, and trust, alongside user expectations for affordable services, responsive customer support, and integration with the national healthcare system. Based on these insights, we propose prioritised design and policy recommendations, considering implementation complexity, success metrics, and cultural context. This study contributes to the design of inclusive, trustworthy mHealth platforms in low- and middle-income countries, and informs both academic research and practitioner development.