In an exclusive interview with Mediworld Middle East, Dr. Sabahat S. Azim, Chief Executive, Zoya Technologies LLC, highlights how Zoya Technologies blends medical expertise with technological innovation.
A medical doctor by training and a technologist for over 15 years, Dr. Azim has been a senior bureaucrat in India and then founded Gloca Healthcare Systems in India – a technology driven healthcare enterprise with 11 hospitals and over 600 clinics in India. He has been recognized as a Social Entrepreneur of the Year 2020 by the World Economic Forum and was featured in the iconic Game Changers section of Bloomberg Magazine. In Dubai he leads an integrated technology company that develops both software and embedded hardware solutions. Their flagship product, ZoyeMed, is a fully integrated digital system combining AI-powered software and hardware to automate and manage healthcare operations efficiently.
The ZoyeMed platform is probably the first autonomous healthcare clinic that does a complete healthcare delivery in outpatient setting with assessment, consultation, examination and performs essential diagnostic tests such as hematology, biochemistry, and immunofluorescence, completing most outpatient procedures within 30 minutes. The entire system can be voice driven with AI guiding and processing most of the stuff with minimal human intervention, except when final clinical decisions are to be made which are mediated by a Board-Certified Doctor.
Dr. Sabahat S. Azim explains security and privacy are central to the platform. Zoyel.health is HIPAA-compliant, uses end-to-end encryption over VPNs, and operates sandboxed cloud environments.
Looking ahead, Dr. Azim shares plans for ultrasound integration and an automated pharmacy, highlighting the platform’s ongoing evolution. With 768 clinics worldwide, including India, Dubai, and Mexico, Zoyel.health is expanding rapidly. He envisions digital healthcare as a paradigm shift, enabling precise, AI-driven care anywhere, from remote islands to moving vehicles, placing Zoya Technologies at the forefront of global healthcare innovation.
Could you please tell us more about your background and provide an overview of your company?
I am a medical doctor by training but have been working as a technologist for the past 15 years. Zoya Technologies is an integrated technology company that goes beyond software—it also develops embedded systems and hardware solutions.
Our latest product is a medical application called ZoyeMed. It represents a fully integrated digital system that combines both software and hardware to automate and manage an entire business operation, all powered by artificial intelligence.
Could you please elaborate on the products and solutions your company offers?
ZoyeMed is an AI-powered, fully digital clinic designed to automate and streamline healthcare delivery. Upon arrival, the system automatically recognizes the patient and retrieves their electronic medical records. It then evaluates the patient’s condition, conducting a full set of physical measurements, including height, weight, blood pressure, and temperature, while also interacting to understand their symptoms. It helps conduct examination as well. Essential diagnostic tests—such as hematology, biochemistry, and immunofluorescence—are completed within the same unit, typically in under 30 minutes. The AI generates a preliminary diagnosis and connects the patient to a doctor for review, further examination, and prescription. ZoyeMed serves as a comprehensive, one-stop digital clinic for efficient, precise patient care.
What core technologies power the Zoyel.health platform, and how do you ensure seamless virtual consultations?
The Zoyel.health platform is built on a robust, fully integrated technological framework, described as a vertical SaaS that combines software and hardware seamlessly. Rather than relying on a single system, it operates through multiple interconnected layers. The backend uses a cloud-based architecture with diverse open-source technologies, where teleconsultations run on WebRTC, the core code is in Python, and both proprietary AI models and proprietary AI and guard- railed third-party large language models, like Google’s, Qwen, Deepseek, OpenAI are also integrated.
On the frontend, point-of-care diagnostics—including dry biochemistry, hematology, immunology, and fluorescence—are fully automated and interconnected. This multi-layered stack, with Python at the backend and Java at the frontend, ensures a smooth, end-to-end virtual consultation experience. The core IP is multi parameter data acquisition of each parameter from multiple angles and methods to cross reference and cross check – all at the same time to increase accuracy and remove errors of medical diagnosis and management.
Essentially, the core issue is that traditional healthcare service is linear and each time that data is collected and processed it is at different times and so you never get a single snap shot of everything at the same time. This complex machine and algorithms ensure multi parameter data acquisition, normalization and analysis at the same time – giving superior outcomes.
How does Zoyel.health integrate with existing healthcare systems to ensure a cohesive and seamless patient experience?
Zoyel.health is designed to function both as a standalone platform and as an integrated solution within existing healthcare infrastructures. The platform is capable of running an entire healthcare enterprise independently—it manages not only clinical operations but also administrative functions such as finance, HR, accounting, and meetings.
At the same time, it offers API-level integration with other industry-standard systems. This means Zoyel.health can easily connect with existing Hospital Information Systems (HIS), Laboratory Information Systems (LIS), and Electronic Medical Records (EMR) platforms. It uses standards like HL7, DICOM, FHIR, Snowmed CT, ICD 11 to ensure data interoperability. Through standards-based API integrations, data can be seamlessly exchanged between systems, ensuring interoperability and a unified, efficient patient experience.
Could you explain how Zoyel.health ensures the security and privacy of patient data during remote consultations?
Zoyel.health is fully HIPAA-compliant and certified, guaranteeing that patient data is managed with the highest standards of privacy and security. All information is encrypted and transmitted through a VPN, minimizing the risk of unauthorized access. The platform runs on secure cloud infrastructure using trusted hyperscalers like AWS, Google Cloud, and Oracle Cloud etc, with each client operating in a sandboxed environment to ensure complete data isolation. Data transfers employ end-to-end encryption with cryptographic keys, while communication channels remain protected by VPN layers. Following a “secure by design” methodology, security is integrated at every stage—from development and testing to deployment—ensuring robust, continuous protection of patient information.
Have you encountered any cybersecurity challenges, considering the sensitive nature of the data you handle?
While no system in the world can be guaranteed to be 100% secure against cyber threats, we take comprehensive measures to protect our data. Cybersecurity is a continuous challenge, with hackers constantly evolving, but we follow all established best practices. Our platform employs a three-tier security framework: machine-level encryption at the edge ensures data is transmitted without personal identifiers; cloud-level sandboxing isolates each client environment; and regular Vulnerability Assessment and Penetration Testing (VAPT) identifies potential weaknesses. Additionally, endpoint security tools and 128-bit SSL encryption protect communications, collectively maintaining a robust and secure digital healthcare environment. The more important part is continuous learning to keep abreast of growing threats and especially with the rise of quantum computing, our own encryptions are being upgraded to look forward to more complex future threats.
Can you explain the AI-driven features within the platform that help improve the accuracy of patient diagnoses?
The platform leverages advanced AI to significantly enhance diagnostic accuracy by analyzing a patient’s medical history, physical examination, and data from all connected diagnostic devices to generate a comprehensive assessment. This AI is highly specialized and guard railed, backed by 15 years of clinical research, ensuring it operates within precise, clinically validated boundaries. For instance, a stethoscope converts heart sounds into digital signals, producing waveforms and spectrograph with denoising that are analyzed against known disease patterns, while also guiding nurses on proper placement with visual confirmation. This is just one example. This extends to a continuous evolving platform of AI based analysis as well as crosschecks to validate the accuracy of interpretation from parallel simultaneous POVs. This battle-tested system has processed data from millions of patients and evolves continuously with new AI features annually. Beyond diagnostics, the AI aids clinicians in treatment management, error prevention, and checks for drug interactions and contraindications, providing reliable, precision-driven support in patient care.
How does Zoyel.health personalize treatment plans for patients during virtual consultations?
The strength of our data-driven system lies in its ability to personalize care while maintaining strict privacy. Each patient is assigned a unique encrypted code, functioning somewhat similarly to a zero-knowledge proof system, which allows the platform to identify them securely without exposing personal data.
When a patient accesses the system, it retrieves their electronic medical records (EMR) to review their medical history, including previous diagnoses, treatment plans, medication dosages, and any warnings. Using this information, the platform enables precision medicine, providing recommendations and treatment plans that are tailored specifically to the individual patient’s needs.
Can you share any patient success stories that demonstrate the impact of Zoyel.health’s services?
Due to HIPAA regulations and the highly regulated nature of the medical industry, we cannot share patient details or quotes directly. However, I can provide an anonymized example to illustrate the platform’s impact.
A 78-year-old patient was initially diagnosed with a knee problem and underwent unnecessary surgery. Later, he was diagnosed with Parkinson’s disease. Using Zoyel.health’s AI-driven system, the platform correctly identified Normal Pressure Hydrocephalus (NPH) as the primary condition. This accurate diagnosis could have prevented the unnecessary surgeries and treatments he received earlier.
This case highlights how AI can enhance diagnostic accuracy by analyzing data patterns that even experienced specialists might overlook, ultimately improving patient outcomes and providing a broader scope of clinical insight.
Can you describe Zoyel.health’s market presence globally as well as in the Middle East and GCC region?
Globally, Zoyel.health including its sister platform ItmusDX has established approximately 768 clinics across various models, with the one you see here representing our latest version. Together, our operations in India and Dubai have served around 11.5 million patients digitally.
In addition to India and Dubai, we have a presence in Mexico and are actively expanding into several other countries, with new markets currently in the final stages of development.
Are there any upcoming products or solutions that Zoyel.health plans to introduce in the near future?
Yes, we have a couple of exciting developments in the pipeline. First, we are planning to integrate ophthalmology suite and ultrasound capabilities into our digital clinic, which is expected to be completed soon.
Additionally, we are developing an automated pharmacy solution. This system will receive prescriptions, automatically dispense the required medications, package them, and deliver them directly to the patient. These two innovations—ultrasound integration and the automated pharmacy—represent the next steps in enhancing our healthcare solutions.
How do you envision the future of telemedicine, and what role will Zoyel.health play in shaping its evolution?
We actually avoid the term telemedicine because it has been widely misused—many consider a simple video call between doctor and patient as telemedicine, which does not truly reflect the scope of modern healthcare. What we focus on is digital healthcare, which represents a completely different paradigm.
Think of it as the shift from a horse-drawn carriage to an electric vehicle—digital healthcare is not merely about digitizing records or using video. It’s about collecting more comprehensive data, analyzing it accurately, and predicting or managing diseases with unparalleled precision. Until now, medicine has lacked the tools to process data at this scale and identify patterns in such a precise way.
The delivery of healthcare is undergoing a profound transformation, accelerated by events like the COVID pandemic. Within the next five years, healthcare delivery will be fundamentally different, and Zoyel.health aims to be at the forefront of this change.
Our vision is to make healthcare accessible to everyone, whether they are on a remote island or in a moving vehicle. By leveraging advanced digital solutions, we want to lead and partner in this transformation, rather than lag behind, bringing high-quality care to all corners of the world.
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