The vision of improving the quality of human health not only requires state-of-art and frugal diagnostic facilities accessible to the ‘last mile’ population but also an ecosystem for the best practices and utilization. In this direction, the existing ecosystem and the conventional diagnostic facilities face limitations with institution based centralized operation, costly installation-operating-maintenance, expert dependency in analysis, and limited accessibility. Recently, a flurry of research activities has been observed in the design and development of user operated ultra-fast, affordable, and portable point-of-care-testing (POCT) devices to bridge this gap and provide information on the quality of health at the patient’s site before consulting the doctors. The modern-day machine learning and artificial intelligence tools integrated to the POCT devices have been able to guide the user to take care of critical parameters. For example, the glucometer, pregnancy kit, weighing machine, or pressure monitoring device connected to the mobile phones are some examples, which are very successful even at the commercial levels. Importantly, the software part has started playing an important role not only to setup a user-friendly ecosystem but also to enable best practices while using the hardware. At this stage, there is an urgent need to develop such POCT devices specific to many biomarkers such as enzymes, hormones, electrolytes, cytokines, interleukins, protein/fat/carb markers, and excretory molecules in the various body fluids such as serum, sebum, urine, saliva, or tear. A complete healthcare solution can be thought of development of such POCT technologies alongside the development of, (i) software for collection, storage and analysis, (ii) manpower for primary care, and (iii) a health management system, around the existing healthcare ecosystem. In bits and pieces, we are able to join many of these points, which will be the center point of this talk on the dream “Healthcare for a Billion”.