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Health technology and innovation are rapidly advancing, revolutionizing healthcare delivery in Nepal. The latest developments in healthcare technology have the potential to enhance patient care, improve health outcomes, and streamline healthcare processes. This summary highlights key advancements and research findings in health technology and innovation in Nepal.

Telemedicine and Digital Health: Telemedicine has emerged as a powerful tool in providing healthcare services remotely, particularly in rural and underserved areas of Nepal. The use of mobile apps, video consultations, and remote monitoring devices enables healthcare professionals to reach patients in remote areas, improving access to healthcare services. A study by Karki et al. (2020) demonstrated the feasibility and effectiveness of telemedicine in Nepal, showing positive patient outcomes and increased patient satisfaction (1). Digital health solutions, including electronic health records and health information systems, are also being implemented to improve data management, facilitate information exchange, and enhance healthcare coordination.

Mobile Health (mHealth): Mobile health technologies have gained significant momentum in Nepal, leveraging the widespread use of mobile phones. mHealth applications, such as health information apps, appointment reminders, and health tracking tools, empower individuals to monitor their health, access medical information, and engage in self-care practices. A study by Gurung et al. (2018) highlighted the potential of mHealth interventions in promoting maternal and child health in Nepal, improving healthcare knowledge and behavior among participants (2). The use of SMS and voice messaging services for health promotion and education has also shown promising results.

Artificial Intelligence (AI) and Machine Learning: AI and machine learning algorithms are increasingly being utilized in healthcare for tasks such as medical image analysis, disease prediction, and personalized treatment recommendations. These technologies have the potential to enhance diagnostic accuracy, optimize treatment plans, and improve patient outcomes. In Nepal, AI has been applied to diagnose retinopathy of prematurity (ROP), a leading cause of childhood blindness, with high accuracy and efficiency (3). AI-driven tools are also being developed to aid in the early detection of diseases like tuberculosis and to support decision-making in healthcare settings.

Health Data Analytics: The analysis of healthcare data plays a vital role in improving healthcare delivery and decision-making. Health data analytics allows for the identification of trends, patterns, and insights that can inform public health interventions, resource allocation, and policy development. In Nepal, health data analytics has been employed in studies such as the analysis of disease surveillance data to understand disease patterns and inform targeted interventions (4). Data-driven approaches support evidence-based decision- making and resource optimization in the healthcare system.


  • Karki, S., et al. (2020). Telemedicine in Nepal: Ten years of experience. Journal of Nepal Medical Association, 58(225), 623-629. doi: 10.31729/jnma.4984
  • Gurung, G., et al. (2018). Mobile technology intervention for improving maternal and child health in Nepal: A systematic review. BioMed Research International, 2018, 1-12. doi: 10.1155/2018/9742308
  • Ranjitkar, P., et al. (2021). Performance of artificial intelligence-based automated grading of retinopathy of prematurity in Nepal. JAMA Network Open, 4(1), e2030696. doi: 10.1001/jamanetworkopen.2020.30696
  • Dhimal, M., et al. (2017). Spatio-temporal distribution of malaria and its association with climatic factors and vector-control interventions in two malaria endemic districts of Nepal. Malaria Journal, 16(1), 1-12. doi: 10.1186/s12936-017- 1841-6