NidanEHR implementation has highlighted several challenges common to digital health transformation in low- and middle-income country settings. Healthcare facilities often have different workflows, reporting requirements and levels of digital maturity, making configuration, localization and change management important components of implementation. Resistance to changing established paper-based or fragmented workflows can also affect adoption, particularly when health workers have limited time for training.

Technical challenges include interoperability with existing health information systems, legacy databases and medical devices; variations in national data standards; infrastructure and connectivity limitations; and the need to maintain reliable performance in resource-constrained environments. Integration with laboratory, radiology, pharmacy, billing and health financing systems can require significant technical coordination.

Country-specific regulatory requirements and evolving digital health policies can also influence implementation timelines and system design. Sustainable deployment additionally requires local technical capacity for customization, maintenance, cybersecurity, user support and long-term system governance. These challenges demonstrate that successful digital health implementation requires more than software deployment and must consider organizational, human, technical and policy factors together.

NidanEHR has demonstrated the importance of implementing digital health systems through a phased, user-centered and locally adaptable approach. Early engagement with clinicians, administrators, IT teams and other health-system stakeholders helps identify existing workflows and ensures that configuration decisions reflect actual facility needs. Training, ongoing user support and involvement of local technical teams are essential for sustained adoption.

Interoperability should be treated as a core design principle rather than an additional feature. Using open standards such as FHIR and maintaining integration capabilities with platforms such as DHIS2, OpenIMIS and other national health information systems can reduce vendor dependency and support continuity of data exchange as health systems evolve.

A modular and configurable architecture also supports localization across countries and facility types without requiring the entire system to be redesigned. Open-source development can further enable local developers and organizations to participate in customization, implementation and maintenance.

For scalability and sustainability, implementations should prioritize open standards, data governance, cybersecurity, documentation, local capacity building and realistic total-cost-of-ownership planning. Continuous feedback from users and monitoring of implementation outcomes should guide iterative improvements. At the policy level, alignment with national digital health strategies, interoperability frameworks and regulatory requirements can significantly improve the potential for wider adoption.