Requirements for Adaptive Consumer Gateways in Residential Learning Healthcare Systems: Bringing Intelligence to the Edge

Abstract

A gateway is a key component in residential healthcare systems. Enabling adaptability and applying intelligence to the gateway will promote residential healthcare systems to become Learning Healthcare Systems (LHSs) that can perform real-time decision making. This leads to the exciting potential of a new research field in consumer-oriented gateways and consumer products that can adapt to the consumer's healthcare needs, learn about the consumer, and over time can adapt accordingly. While consumer healthcare gateways exist, they have tended to be fixed on specific medical conditions and are not upgradeable or adaptive. To be able to create adaptive consumer gateways for consumer healthcare applications, this paper identifies a set of requirements concerning scalability, energy efficiency, reliability, availability, interoperability, and privacy that need to be fulfilled before any product or service can be created. Intervention in local data processing, local data storage, embedded data mining, security, interoperability, and configurability that serve the development process are also discussed. The goal of this paper is to provide the requirements for the innovation of a one-for-all smart adaptive consumer gateway in residential learning healthcare systems and to influence the consumer healthcare field to consider the benefits of moving to adaptive gateways for future developments.