Technical Outline

AyurAdhar is designed with a clear focus on its core users: doctors and patients. Technical decisions are guided by the realities of clinical practice and patient engagement, including varied levels of digital comfort, language preferences, and network conditions. The platform supports multiple Indian languages and is accessible through familiar channels such as mobile apps, web browsers, and WhatsApp. It is designed to function reliably even in low-bandwidth environments, without requiring high-end devices or continuous connectivity.

AyurAdhar meets users where they are, rather than forcing a single mode of interaction. Doctors and patients can engage through mobile applications on iOS and Android, web browsers on desktop and mobile, and WhatsApp for workflows such as booking, coordination, and follow-ups. Information remains connected across channels, allowing users to move between interfaces without being locked into one primary mode of access.

Artificial intelligence is used in a focused, assistive manner to support clarity, continuity, and efficiency. This includes organizing medical records, summarizing historical information, supporting translations, and assisting with longitudinal analysis. AI systems are designed to augment human judgment, not replace it. Clinical decisions remain entirely with doctors, and patients remain active participants in their care. AI operates under human oversight and within clearly defined boundaries. The platform is designed to support both cloud-based and on-premise large language models (LLMs), allowing flexibility in how sensitive data is processed as the system evolves and in personalizing to individual doctor preferences.

Security and privacy are treated as foundational responsibilities. All data is encrypted at rest and in transit using industry-standard cryptographic practices, including SHA-256-based encryption. Access is governed by strict access controls and role-based permissions. Systems are designed with clear separation between clinical data, operational data, and analytics. These practices are embedded into the platform architecture rather than added as an afterthought.

All patient data is stored and processed within India. The platform is designed with clear data jurisdiction boundaries, reflecting local regulatory expectations and the sensitivity of healthcare information. AyurAdhar treats data as a responsibility to be stewarded, and not an asset to be exploited. Data handling aligns with patient consent, professional ethics, and long-term trust.

The platform is built using modern, widely adopted technologies, including Node.js and JavaScript-based services, to support reliability, maintainability, and scale. Cloud infrastructure is used thoughtfully across AWS and Azure capabilities to support availability and resilience. Storage combines relational databases for core relationships, NoSQL databases for transactional data, Redis for caching for low-latency responses, and blob storage for images and documents. The system is designed to scale dynamically, allowing for meeting user needs when required, while ensuring cost efficiency.