Sectors Serviced

Driving Results Across Multiple Sectors



Public Health


With modern technology, and public policy, the Public Health sector is undergoing a profound digital transformation to build resilient, equitable, and data-driven health ecosystems worldwide. Today's global health landscape demands real-time epidemiological tracking, robust health information systems (HIS), and seamless data interoperability to monitor population health, predict outbreaks, and streamline emergency response. Digital public health infrastructure empowers governments, NGOs, and global agencies to shift from reactive healthcare models to proactive, preventive population health management. Modern IT solutions play a critical role in controlling infectious communicable diseases—such as Tuberculosis, Malaria, HIV/AIDS, Dengue, and Leprosy through automated contact tracing, GIS-mapped outbreak tracking, delivery of basic healthcare services in remote areas, and supply chain automation for vaccines and essential medicines. Simultaneously, public health platforms help manage the growing global burden of chronic non-communicable diseases, including Diabetes, Cardiovascular Diseases, and Cancer, by enabling early screening registries and patient monitoring networks.

PARAMARSH has been working with international organizations such as WHO and various national and international NGOs in deploying scalable Management Information Systems (MIS) for and communicable diseases such a HIV/AIDS, Tuberculosis, Encephalitis and Leprosy and non-communicable diseases such as Rabies, and Diabetes. Our field-ready mobile applications equip frontline health workers to capture accurate ground data in remote areas. Our flagship product AMBER, used widely across Health Centres, Health Camps and Mobile Medical Units (MMUs) serves as a versatile digital platform for delivering not only healthcare but also education to remote locations and communities. Furthermore, our advanced data analytics and AI-driven predictive modeling services convert complex demographic and clinical data into actionable intelligence—optimizing resource allocation, driving targeted interventions, and ensuring total donor transparency.