Abstract: Systems and methods for improving Remote Patient Monitoring by utilizing a plurality of physiological test devices with built-in hardware, software and wireless connectivity redundancy mechanisms to help ensure successful remote patient monitoring in the event of hardware and software failures as well as wireless communication disruption and down-time. A time-delayed method for the transmission of the acquired physiological parameters are utilized for reliable delivery of patient test data to remote server in the event of disruption in wireless communication services. Additionally, Artificial Intelligent (AI) Avatar Virtual Assistant with passive “Check My Status' monitoring is utilized to provide a multilayer testing mechanism within remote patient monitoring by interactively communicating with the patient via voice using Speech To Text (STT), Text To Speech (TTS) and Natural Language Processing (NLP).

Abstract: The present invention discloses a novel, on-demand, user-controllable, person-to-location audio-visual (A/V) capture and transmit platform and system (the “Eagle Eyes Network” or “EEN”). The network is architected as a “gig economy” platform that enables any Requester who subscribes to the network to, using an app, request a live A/V feed of any location, and for that request to be automatically delivered in real or delayed time to at least one qualified geo-located person or entity in the network—a “Provider.” The EEN also enables the Requester via the app to control aspects of the Provider's A/V live capture session at the location.