India’s healthcare sector is changing rapidly with the growing use of digital technology. Tools such as artificial intelligence (AI)-based diagnostics, telemedicine, electronic medical records (EMR) and remote patient monitoring are making treatment faster, more accurate and more accessible. Hospitals are using digital systems to improve patient care and manage operations more smoothly. Industry leaders discuss how digital adoption is shaping their organisation, the challenges faced, and their plans for the future…
How have ICT needs evolved in the healthcare space over the past few years?
A decade ago, ICT in healthcare largely meant billing platforms, human resources systems and hospital information software. Today, technology shapes how medicine is practised.
The first real inflection point was the adoption of EMRs. That was when digital began touching clinical care meaningfully. But the true acceleration came during Covid-19. Almost overnight, hospitals had to enable virtual consultations, contactless workflows, remote workforce coordination and real-time patient monitoring. Telemedicine was no longer an innovation initiative, it became a lifeline.
At Apollo Hospitals, our evolution mirrors the sector’s transformation, but at scale. We began by digitising records and implementing comprehensive EMR systems across our network. The next phase was integration, connecting hospitals, pharmacies, diagnostics and primary care on a unified technology backbone. That allowed us to move from isolated systems to a connected health ecosystem.
From there, we moved into intelligence, leveraging data and AI to shift from reactive treatment to predictive care. Today, we are extending care beyond hospital walls into homes, ambulances and communities through connected monitoring and digital platforms.
How are you leveraging new-age technologies such as 5G, AI, IoT, cloud and blockchain? What are their noteworthy use cases?
At Apollo, we operate with one simple principle: technology must have a clinical purpose. If it does not improve outcomes, enhance access or strengthen reliability, it does not scale. We have developed 12 advanced AI algorithms that predict risk for chronic conditions such as chronic kidney disease, chronic obstructive pulmonary disease and liver fibrosis. These models are embedded within our preventive health programmes and have been validated on over 1.7 million patient records. They enable early detection and personalised intervention pathways. All our AI tools are certified to international standards, including ISO 13485, MDSAP and GS1. We are also deploying generative AI within our upgraded EMR systems to automate clinical summaries and reduce documentation burden. In critical care, AI-driven decision support assists physicians by surfacing insights faster. Further, we are among the first globally to deploy 5G-enabled ambulances. These mobile ICUs transmit real-time ECG data, vitals and high-definition video to our emergency specialists while the patient is still en route. Our comprehensive connected care programme integrates wearable devices capturing heart rate, oxygen saturation and blood pressure across wards, ICUs, ambulances and homes. This creates a continuous monitoring ecosystem. We have completed the full migration of our hospital operating platforms to Microsoft Azure. This ensures resilience, security and scalability. More importantly, it powers our real-time enterprise data platform.
We see blockchain as a trust layer for healthcare. Its potential in drug supply chain traceability, clinical trial integrity and secure health information exchange is significant. As regulatory frameworks mature, blockchain will strengthen transparency and accountability across the value chain.
What major challenges have you experienced in adoption? How are you addressing them?
Operating one of India’s largest integrated healthcare networks means every deployment must scale across hospitals, pharmacies, diagnostic centres and clinics. Interoperability between legacy systems and new platforms – without disrupting care – is both a technical and change management challenge. We address this through phased implementation, robust middleware architecture and cloud-native standardisation.
Technology succeeds only when clinicians trust it. Doctors and nurses are trained to save lives, not navigate complex interfaces. We invest heavily in clinician-led design, structured training, leadership engagement and digital champions within clinical teams who drive adoption internally. Further, AI is only as strong as the data it learns from. Healthcare data is fragmented and inconsistent by nature. We have invested in a real-time data platform that standardises capture at the point of care and integrates clinical, operational and administrative streams into a unified layer. To protect data from cyberattacks, we have implemented managed detection and response frameworks, strengthened cloud security architecture and reinforced perimeter protection.
Deploying AI in clinical settings demands a higher standard of scrutiny. Questions of bias, explainability and accountability cannot be ignored. All our AI systems undergo rigorous validation and function strictly as decision-support tools. We developed the EASE framework anchored in ethics, adoption, suitability and explainability to ensure AI strengthens clinical judgment while safeguarding patient trust.
What are your top digital priorities over the next two to three years?
Over the next 24-36 months, we will deepen AI integration across clinical and operational domains, moving beyond pilots into enterprise-wide deployment where measurable impact exists. Intelligence must become embedded into routine care. We will unify health data across hospitals, diagnostics, connected care platforms and community programmes so that every patient record reflects continuity, not fragmentation.
Expanding connected care into underserved geographies is central to our mission. 5G-enabled telemedicine, AI-assisted diagnostics and remote monitoring will help bridge specialist gaps in Tier II and III regions. Cybersecurity and data governance will be engineered into every layer of our infrastructure. Simultaneously, we will continue investing in our people, ensuring clinicians and caregivers are confident digital practitioners. We are also collaborating with national platforms such as the Ayushman Bharat Digital Mission because we believe healthcare can never evolve in silos. Interoperability and shared standards are essential if digital transformation is to benefit the broader ecosystem.
Which key digital trends will shape the sector going forward?
Healthcare globally, and in India specifically, is at the cusp of a digital revolution. Several trends will fundamentally reshape the sector. The convergence of genomics, clinical data and AI will shift healthcare from a reactive model to proactive, personalised care, where risk scoring can predict events before they happen and enable timely intervention. Technology that works silently in the background, ambient sensors, voice-enabled clinical documentation, and AI that continuously monitors and alerts only when needed. The best technology will be the one that patients and clinicians do not even notice. Moreover, healthcare will increasingly operate as interconnected platforms where hospitals, diagnostics, pharmacies, insurers and patients are part of a seamless digital mesh. Further, AI-powered diagnostic tools in radiology, pathology and ophthalmology, powered by intelligent algorithms, are beginning to deliver high levels of accuracy even in primary care settings. For a country like India, where specialists are concentrated in large cities, this can significantly narrow the access gap in smaller towns and rural areas. Patients are becoming active participants in tracking their health journey, with wearables, health apps and access to their own records. Providers who can meet this digitally empowered patient with personalised and convenient experiences will lead the market. Furthermore, creating digital replicas of patients incorporating genetics, physiology, and medical history to simulate treatment outcomes before actual intervention is moving from research to reality.
The opportunity before us is transformational, and at Apollo Hospitals, our compass remains steady: technology must deepen trust, improve outcomes and widen access. That discipline will shape the next decade.
