Reflections on: Building AI Readiness by Strengthening Digital Competency Among Frontline Health Workers
As India moves toward large-scale adoption of digital health systems and AI-enabled tools, the conversation is increasingly shifting from technology to readiness. Infrastructure and strategy matter, but without a workforce that can use digital tools with confidence and ease in everyday clinical practice, AI risks remaining underutilized or unevenly adopted.
This question of readiness was at the centre of a session at the India AI Impact Summit 2026 on building digital competency among frontline health workers.
The session focused on developing a structured tool to measure the digital competency of healthcare providers in Meghalaya. Importantly, the presenting team distinguished between digital literacy and digital competency. While digital literacy refers to basic familiarity with digital technologies, digital competency reflects the ability to apply these skills effectively within clinical workflows, such as managing patient records, using digital decision-support systems, initiating referrals, and ensuring accurate documentation. This distinction is critical as healthcare systems increasingly rely on digital platforms and AI-enabled tools to support service delivery.
Rather than assessing digital skills in isolation, they talk about identifying the core responsibilities of frontline health workers, including ASHAs, ANMs, staff nurses, and medical officers. These responsibilities were then broken down into specific clinical competencies. Each of these clinical competencies was subsequently mapped to the digital competencies required to perform the task effectively using digital health applications.
For example, activities such as recording patient vitals, verifying data accuracy, using decision support prompts, and managing referrals require not only technical familiarity with digital tools but also clinical judgment and the ability to interpret and act on digital information appropriately. By linking clinical roles to digital competencies, the framework ensures that digital skill assessment aligns with real-world healthcare delivery requirements.
The tool development process itself reflects methodological rigor, including competency mapping, item generation, cognitive interviews, pilot testing, and field implementation, followed by analysis and integration into performance assessment frameworks. The initiative also draws on established global frameworks such as the Digital Competence Framework (DigComp) and ITU Digital Skills Indicators, while adapting them to the specific needs and operational realities of frontline health systems.
This work addresses a foundational requirement for AI-enabled health systems. Technology alone cannot drive transformation unless supported by a workforce that is confident and capable of using digital tools effectively. Strengthening digital competency at the frontline will be essential to ensuring that digital health and AI investments translate into improved efficiency, better decision-making, and stronger health system performance.
Shruthi Ramesh – Deputy Manager, Sambodhi
