A Platform To Enable Algorithms As Service Model Aimed at Digital Health Service Delivery

In this paper we provide a framework for Algorithm As a Service Model which goes beyond Machine Learning as a Service (MLAS) model, by supporting extended category of algorithms including but not limited to measurement, calibration, physics and statistics based models. These algorithms when used for screening of health care data, are termed as Software As Medical Device - SaMD. We present a platform that can act as an accelerator for clinical trials of these SaMD devices. We also go a step ahead from DevOPS model by semi-automating the algorithm deployment process. We have deployed a few algorithms into our platform and in this paper we discuss the case-studies and illustrate the advantages of our approach over conventional methods.