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A new philosophy and architecture of rapid mobile healthcare application development is presented here. Many monolith applications developed on the Lambda architecture had been successful earlier, but of late, this architecture is found inadequate when deployed for different stakeholders. Today's healthcare applications handle large volume of streaming data obtained from dispersed devices. The architecture is to support multiple use cases as the business models are evolving and the products have to be malleable enough to support different functions. This paper describes a working architecture on which mobile healthcare applications can be rapidly built through ingestion and processing of voluminous streaming data. The use of micro-services keeps this architecture flexible. On the client side, application platform as a service (APaaS) frameworks are employed to assist quick development and validation of solutions. Findings from some successfully deployed mobile healthcare applications based on this architecture are also discussed.

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People in rural areas do not have convenient access to quality healthcare close to their locations. Although there are health care centers in villages, they are not staffed and most lack in basic infrastructural facilities. Villagers are forced to travel long distances to district head quarters or major cities to avail of medical facilities, often at high cost, which they can ill afford. We developed a mobile based decision support framework on the Android open platform and demonstrated the feasibility of building the complete end to end system for large scale deployment to outreach health worker. The decision support system enables the outreach health worker to deliver consistent and quality primary healthcare to rural population. The same platform can host other revenue generating opportunities for the outreach worker to keep them motivated and providing them a means of livelihood.

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