Keeping the power on to home medical devices.

Advances in digital health technologies have revolutionised home medical care. Yet many home medical devices (HMEDs, which includes devices referred to as 'life support equipment') rely upon a stable and resilient electricity supply. For users of HMEDs, interruptions to electricity supply can compromise treatment, well-being or survival. This paper addresses a challenge critical to the continued innovation in digital health technologies: the reliable supply of electricity. We bridge the current gap between electricity networks and digital health technologies through a novel method for the remote detection of the phase (that is, which part of the network that each house is connected to), in order to eliminate avoidable interruptions to supply for HMED users. We present an unsupervised phase identification algorithm capable of remote phase detection at scale, and without transformer data. This method translates data insights into actionable energy provision for HMED users and other vulnerable customers, enables more accurate management and planning, and improves electricity reliability which is critical for HMED users and the continued advances in digital health technologies.

Déclaration de conflit d'intérêts

The authors have read the Journal’s policy and the authors of the manuscript have the following competing interests. Author RB and the Centre intend to investigate patenting the clustering algorithm mentioned in the manuscript and may potentially benefit financially from it in the future. This does not alter our adherence to PLOS ONE policies on sharing data and materials.