Healthcare-support information is often spread across separate services for treatment-cost planning, government assistance discovery, hospital location search, and medical-document review. This can make navigation difficult for patients and families, particularly those seeking affordable care. This paper presents CareBridge AI, a web-based prototype that organizes selected healthcare-support functions in one interface. Developed using HTML, CSS, and JavaScript, the prototype provides interfaces for medical-bill information, a funding-gap calculator, medical-report text review, scheme discovery, a hospital finder, and chat-style support. The funding-gap module estimates the remaining amount from user-entered treatment cost, available funds, expected assistance, and other contributions. The current implementation uses browser-side logic and demonstration storage. It does not demonstrate a trained or clinically validated AI/ML model, a production-grade patient database, or an IoT deployment. A qualitative comparison identifies integration and navigation as the main design opportunity. A proposed evaluation plan covers calculation correctness, official-link validity, usability, privacy, and future AI validation. No clinical or performance improvement is claimed without measured testing.
No takes yet. Share an insight, caveat, or question.
Shaikh et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: