The emerging rapidly developing new technologies bring digital applications into our society. Digital technology had been widely applied to various health-care fields including the area of preventative health care. Digital preventative health care is the provision of health-care services for the prevention of diseases, controlling of disease processes, and other health-care services related to preventative health care by the use of digital technology. It is an essential element in the future development of the health-care environment. This review article highlights the current situation of digital technology used in providing health-care services for disease prevention in Myanmar health-care environment. It also covers the future direction of implementing digital technology in other specific areas of preventative health care in Myanmar designed to provide health-care delivery and services more effectively.

The pursuit of digital biomarkers wherein signal outputs from biosensors are collated to inform health-care decisions continues to evolve at a rapid pace. In the field of neurodegenerative disorders, a goal is to augment subjective patient-reported inputs with patient-independent verifiable data that can be used to recommend interventive measures. For example, in the case of Alzheimer's disease, such tools might preselect patients in the presymptomatic and prodromal phases for definitive positron emission tomographic analysis, allowing accurate staging of disease and providing a reference point for subsequent therapeutic and other measures. Selection of appropriate and meaningful digital biomarkers to pursue, however, requires deep understanding of the disease state and its ecological relationship to the instrumental activities of daily living scale. Similar opportunities and challenges exist in a number of other chronic disease states including Parkinson's, Huntington's, and Duchenne's disease, multiple sclerosis, and cardiovascular disease. This review will highlight progress in device technology, the need for holistic approaches for data inputs, and regulatory pathways for adoption. The review focuses on published work from the period 2012–2017 derived from online searches of the most widely used abstracting portals.