India’s digital health ecosystem has made remarkable strides since the launch of the Ayushman Bharat Digital Mission (ABDM) in 2021. With over 420 million Ayushman Bharat Health Accounts (ABHA) issued, thousands of hospitals and diagnostic labs onboarded, and tools like Scan & Share and eSanjeevani in daily use in several states, the foundation for a connected health system is clearly taking shape. Yet beneath these headline numbers lies a persistent challenge: true interoperability the ability of different health IT systems to exchange, interpret, and meaningfully use data remains limited, fragmented, and far from universal.

The consequences are felt daily across the country. Patients repeat expensive tests because lab results from one hospital cannot be accessed at another. Discharge summaries remain trapped in one system, forcing specialists to start from scratch. Emergency clinicians lack access to critical history medications, allergies, prior diagnoses leading to avoidable errors. Chronic disease patients struggle with fragmented follow-up, increasing the risk of complications. These issues translate directly into higher costs, delayed treatment, poorer outcomes, and eroded trust in digital tools.

Several structural and practical barriers continue to hinder progress. Many private hospitals especially mid-sized and standalone facilities still rely on legacy or proprietary EHR/HIS systems that were never designed for interoperability. These systems often use non-standard data formats, custom terminologies, or closed databases, making integration with ABDM or other platforms technically difficult and expensive. Even when technical integration is possible, adoption remains low due to lack of perceived immediate benefit, fear of data leakage, or concerns over liability if shared data leads to adverse outcomes.

In the public sector, while government hospitals are more ABDM-compliant, implementation varies widely across states and districts. Connectivity issues, frequent power outages, and inadequate training for frontline staff limit meaningful usage. Privacy and cybersecurity concerns further dampen enthusiasm: high-profile data breaches in other sectors have made both patients and providers wary of sharing sensitive health information, even with consent mechanisms in place.

The impact of poor interoperability is quantifiable. Repeated diagnostics inflate out-of-pocket expenditure, already a major burden for Indian households. Delayed access to complete patient history increases medication errors and adverse events. Public health surveillance suffers when data from private labs and hospitals is not integrated, weakening outbreak response and disease tracking. Clinicians spend excessive time on manual data entry or chasing records instead of focusing on care delivery.

Looking ahead, several steps are critical to overcoming these barriers. Stronger regulatory enforcement of interoperability standards (such as FHIR, SNOMED CT, LOINC) and mandatory ABDM compliance for larger hospitals would create momentum. Incentives tax breaks, faster licensing, or priority empanelment under Ayushman Bharat could encourage private sector participation. Investment in rural broadband, device subsidies, and nationwide digital literacy campaigns is essential to close the urban-rural gap. Equally important is building trust through transparent privacy policies, robust cybersecurity frameworks, and visible accountability mechanisms for breaches.

India stands at a decisive juncture. The technical infrastructure for interoperability largely exists through ABDM. The missing pieces are adoption at scale, standardisation in practice, and genuine clinician and patient confidence. If these can be addressed in the coming 2–3 years, digital health in India could move from fragmented pilots to a truly integrated, patient-centered ecosystem one where data flows freely and securely to deliver safer, faster, and more equitable care for 1.4 billion people.