Delphi | Leading Healthcare & Diagnostics Group – Virtual Assistant for Diagnostics Services

Leading Healthcare & Diagnostics Group – Virtual Assistant for Diagnostics Services

Healthcare

Middle East

Azure OpenAI, Agno, Python FastAPI

Virtual Assistant for Diagnostics Services

An enterprise AI solution deploying intelligent virtual assistants for diagnostics lab services. Built using Azure OpenAI, the Agno agentic framework, and Python FastAPI, the solution enables multilingual chatbots across WhatsApp, web, and mobile platforms with seamless integration into laboratory, EMR, and other systems — enhancing patient experience and operational efficiency through agentic healthcare automation.

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

Patients required fast, accurate, multilingual access to diagnostics lab services — including test result queries, appointment scheduling, and FAQs — across WhatsApp, web, and mobile platforms.

Existing manual service channels were unable to handle high volumes of patient enquiries efficiently, creating delays and negatively impacting patient experience.

Seamless integration with laboratory systems, EMR platforms, and other healthcare operational systems was required to provide real-time, accurate responses to patient queries.

Supporting multilingual interactions — enabling patients to communicate in their preferred language — required AI models capable of context-aware, accurate responses across languages.

B2B operations support for clinical care operations required a separate, governed channel for healthcare staff to interact with the assistant for operational workflows.

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

Built intelligent virtual assistants using Azure OpenAI and the Agno agentic framework, deployed across WhatsApp, web, and mobile platforms for seamless patient access.

Enabled multilingual chatbot capabilities allowing patients to interact in their preferred language with consistent, context-aware, and accurate responses across all channels.

Integrated the assistant with laboratory systems, EMR platforms, and other operational systems to deliver real-time, accurate responses to patient test result and service queries.

Implemented dedicated agent workflows for lab test result summaries, FAQ answers, appointment scheduling and reminders, and B2B clinical care operations support.

Deployed the solution using Python FastAPI as the Backend orchestration layer, ensuring low-latency, scalable handling of high-volume patient interactions across all platforms.

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

Patients gained fast, accurate, and always-available access to diagnostics services across their preferred channels, significantly improving patient experience.

Automation of routine patient enquiries — including test result queries and appointment scheduling — reduced manual handling burden on clinical and administrative staff.

Multilingual capabilities enabled the organisation to serve a broader, more diverse patient population with consistent quality of service across all languages.

Seamless EMR and lab system integration ensured patients received real-time, accurate information without requiring staff intervention for routine data retrieval.

A scalable agentic architecture provided the foundation for future expansion of virtual assistant capabilities across additional healthcare service lines and platforms.

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UAE

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

KSA

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INDIA

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USA

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