Healthcare AI Expert in the UAE

UAE-based healthcare AI expert in Abu Dhabi, serving Dubai and the wider UAE: governed clinical AI, voice agents and adoption on Microsoft and Google.

A UAE-based healthcare AI expert, based in Abu Dhabi and working across the Emirates including Dubai, focused on clinical and operational AI that is governed, measured and actually used.

Who I Am and How I Work Across the UAE

I am Karthik Telidevara, Manager – AI Strategy & Transformation at Burjeel Holdings. I am based in Abu Dhabi and my work touches healthcare organisations across the UAE, including Dubai. My background spans more than 13 years: pharmacy and drug analysis, healthcare business strategy, hospital operations, digital transformation, and now production AI.

That path shapes how I approach the role of a healthcare AI expert. I do not start from a model and look for a problem. I start from a clinical or operational pain point, ask what success would look like in numbers, and only then decide whether AI is the right answer. Often it is. Sometimes a process change or a better report does more.

Throughout, the aim is the same: AI that clinicians and patients find genuinely useful, that a regulator would be comfortable reviewing, and that leadership can see paying back in measured outcomes rather than in slide decks. The sections below describe what that looks like in practice across the country.

This page focuses on the national picture and on Dubai. If you are specifically interested in the emirate where I am based, see the page on being a healthcare AI expert in Abu Dhabi.

Healthcare AI in the UAE Has Moved From Pilots to Operations

Across the UAE, the conversation about healthcare AI has changed. A few years ago it was about proofs of concept. Today hospital boards ask harder questions: does it hold up under clinical governance, does it integrate with our electronic health record and identity systems, what does it cost to run, and what happens when it gets something wrong.

Answering those questions requires two kinds of fluency at once. One is technical: knowing how foundation models, retrieval, orchestration and evaluation actually behave in production. The other is institutional: understanding how clinical committees, quality teams, IT security and regulators make decisions. A UAE-based healthcare AI expert has to move comfortably between both.

It also requires patience. The organisations that make steady progress tend to pick a small number of use cases, prove them properly, and reuse the same governance pattern for the next one, rather than launching many pilots at once.

Dubai: Regulation, Interoperability and Scale

Dubai has its own regulator, the Dubai Health Authority (DHA), and its own health information exchange, NABIDH. For any AI system that uses patient information in Dubai, those two facts set the ground rules. Data has to be handled in line with DHA policy, and integrations need to respect how records flow through NABIDH rather than creating shadow copies.

Dubai's healthcare market also has a large private sector and a highly international patient population. That makes multilingual communication, especially Arabic and English, and smooth patient access, including scheduling, reminders and follow-up, particularly valuable places to apply AI.

Elsewhere in the country, the Ministry of Health and Prevention (MOH) and its Riayati platform play a similar role for the northern emirates, while the Department of Health – Abu Dhabi oversees the capital. A more detailed comparison is on the page about healthcare AI regulation and deployment in the UAE.

Patient Communication and Voice AI

A great deal of hospital friction happens on the phone: patients trying to book, reschedule, ask about preparation, or check in after a procedure. That is why voice AI agents are one of the areas I care most about. At Burjeel we have built voice agents in-house for triage support and post-surgical follow-up.

One workflow is described in a Telnyx customer story: voice AI agents call back patients who missed their appointments and rebook them directly into the scheduling system. It is a modest-sounding task, but it directly affects access, continuity of care and clinic utilisation, and it is easy to measure, which makes it a good example of AI earning its place.

Designing these agents well means handling Arabic and English naturally, knowing when to hand over to a human, and keeping a clear record of every interaction. I have written about the architecture and trade-offs in the comprehensive guide to AI voice agents and on real-time multilingual voice in Gemini Live Translate for UAE healthcare.

Clinical Documentation and Clinician Time

The other area with strong momentum is ambient clinical AI. With patient consent, these tools listen to the consultation and draft a structured note, which the clinician then reviews, edits and signs. In our case the draft lands in Oracle Health, so the clinician never leaves the system they already use.

The value is time and attention. Clinicians across the UAE, like everywhere else, spend a large part of their day on documentation. Giving some of that time back to the patient is a meaningful outcome, provided note quality, accuracy and accountability are protected. That is why we baseline documentation time and quality before rollout and keep the clinician as the accountable author.

For a buyer's view of the market, see ambient clinical voice technology: choosing the right AI scribe.

Platforms, Adoption and What Comes Next

On the technology side I work within the Microsoft and Google ecosystems: Azure AI Foundry, Azure OpenAI and Microsoft Fabric on one side, Vertex AI, Gemini and MedLM on the other. Keeping to two well-supported ecosystems simplifies security review, data residency planning and long-term support.

Technology is only half of adoption. The Microsoft Copilot rollout at Burjeel, documented in a Sulava MEA case study, was as much about building staff confidence as about licences. People need to know what the tools are good for, where the limits are, and that using them is encouraged.

Looking further ahead, I see digital twins of hospital operations as an interesting next step: models of patient flow and capacity that let teams test changes before making them. Coverage of these topics is collected on the press page, and the risk side is covered on healthcare AI security and governance.

Frequently Asked Questions

Who is a healthcare AI expert in the UAE?

Karthik Telidevara is a UAE-based healthcare AI expert. He is based in Abu Dhabi, works as Manager – AI Strategy & Transformation at Burjeel Holdings, and has more than 13 years of experience across healthcare strategy, hospital operations, digital transformation and production AI.

Is Karthik based in Dubai?

No. Karthik is based in Abu Dhabi. His work and writing cover healthcare AI across the UAE, including Dubai and its DHA and NABIDH environment.

Which healthcare AI use cases are most practical in the UAE today?

In Karthik's experience, ambient clinical documentation and voice AI agents for patient communication, such as triage support, post-surgical follow-up and rebooking missed appointments, are among the most practical, because they address clear pain points and are measurable.

How do UAE regulators affect healthcare AI?

The DHA in Dubai, the Department of Health – Abu Dhabi and the Ministry of Health and Prevention each set requirements on patient data, accountability and integration with health information exchanges such as NABIDH, Malaffi and Riayati. AI systems must be designed within those rules from the start.

Which AI platforms are used?

Karthik works within the Microsoft and Google ecosystems, including Azure AI Foundry, Azure OpenAI, Microsoft Fabric, Vertex AI, Gemini and MedLM.