A scoping review of digital health interventions for the detection and management of iron deficiency anaemia in Indian women of reproductive age from 2018 to 2025

In India, iron deficiency anaemia (IDA) is still a major public health concern for women of reproductive age. AI-based and non-AI-based digital health interventions (DHIs) are being investigated as novel approaches to anaemia screening, detection, and treatment as a result of the growing digitisation of healthcare. With an emphasis on intervention types, outcomes, and implementation gaps, this scoping review sought to map and synthesise the data regarding the efficacy of DHIs for IDA detection and management among Indian women of reproductive age. Grey literature, such as institutional reports, was consulted in addition to a thorough search of PubMed, Scopus, and Google Scholar. Rayyan was used to filter for eligible research that were published between March 2018 and 2025. Data on the population, digital tool type, anaemia type, study methodology, results, and implementation context were extracted. A scoping review was conducted, and PRISMA-compliant tables and figures were used to show the findings. Eight studies were included. Non-AI tools demonstrated high implementation feasibility and immediate clinical improvements in hemoglobin (0.8–0.95 g/dL) and adherence. AI-based techniques, while demonstrating exceptional diagnostic accuracy (up to 96%), currently face moderate implementation feasibility due to a reliance on controlled clinical environments and hardware constraints.” DHIs have a great deal of promise to enhance IDA detection, treatment, and prevention among Indian women of reproductive age. While AI-based advancements exhibit potential diagnostic skills that need additional confirmation, non-AI techniques provide instant, scalable benefits. A hybrid strategy incorporating both technologies and implementation in a geographically broad manner might provide the most comprehensive approach to lowering the burden of anaemia.