Delphi | Delphi – AI Symptom Checker & Patient Care Bot

Delphi – AI Symptom Checker & Patient Care Bot

Healthcare

Middle East

Frontend: Flutter Mobile App; Backend: Python, Custom APIs for data integration; Architecture: Microservices hosted on Kubernetes cluster

AI Symptom Checker & Patient Care Bot

An advanced AI-driven platform that allows individuals to track and assess symptoms for themselves and their family members using both voice and text input. The platform includes a patient bot that enables appointment booking via automated voice calls to live agents, provides post-discharge support, and features an AI-powered healthcare community for informed engagement and condition-specific support.

Identifying the unique obstacles that hinder progress and uncovering the root causes behind complex business problems.

Allow users to describe symptoms naturally through both voice and text input for accurate, AI-driven preliminary health assessment.

Automate appointment bookings by enabling the patient bot to place voice calls to live agents on behalf of the patient.

Provide seamless post-discharge guidance through intelligent follow-up prompts and reminders to support patient recovery.

Allow users to send push notifications to family members for timely medication reminders and health updates.

Ensuring the platform met HIPAA and GDPR compliance standards while handling sensitive personal health data across voice and text channels required a robust security and governance architecture.

Developing strategic, innovative solutions designed to address each challenge with precision, ensuring measurable impact and long-term success.

Integrated multi-model AI agents for processing medical data and other inputs, enabling accurate symptom assessment and health guidance.

Incorporated standalone agents to perform medical analysis, report generation in HIPAA and GDPR compliance, and a moderator agent for communication between agents and users.

Developed an intuitive and guided response Frontend to intake various types of inputs from the user across voice and text channels.

Integrated Azure Services as a bridge between LLM models and data storage/CDN to ensure scalability and reliability.

Implemented industry-standard security protocols and compliance controls — including HIPAA and GDPR — across all data flows, ensuring complete protection of sensitive personal health information on the platform.

Delivering tangible results that drive operational efficiency, data trust, and sustained business value for the organisation.

One-Stop Health Assistant: Combines symptom checking, appointment booking, post-discharge support, and a patient community into a single unified platform.

Voice Enabled: Allows users to describe symptoms through natural voice, enabling hands-free, accessible health interactions.

Family-centred care: Lets family members easily share health updates and stay involved in each other's care.

AI-powered community connects users with similar health conditions, surfaces relevant discussions, and encourages meaningful support.

Security & Compliance: Built with industry-standard security; HIPAA and GDPR compliant to ensure data privacy and protection.

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UAE

14th Floor, Suite no.1407, Concord Tower, Dubai Media City, PO Box 451893, Dubai.

KSA

7783 Ibn Katheer St – King Abdulaziz DistrictRiyadh 12233 – 4264, Kingdom of Saudi Arabia.

INDIA

Ground & First Floor, Worldmark 1, Asset Area 11,Aerocity, Hospitality District,Near Indira Gandhi International Airport (NH-8),New Delhi – 110037, India

USA

100 N Howard ST STE W, Spokane, WA, 99201-0508, United States

UK

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