This project aims to contribute to the global effort against the COVID-19 pandemic through the (1) collection of patients' data that would support (2) the development of Artificial Intelligence (AI) algorithms capable of pinpointing patients at an increased risk of severe complications through automated monitoring at a distance. The AI involved also has the potential to identify aspects of the patients' condition that can inform medical decisions even without the use of computers. The project will then (3) consult all stakeholders on the design of a use case maximising the expected benefits of such AI-based telemedicine to patients and health care providers in terms of medical outcomes and health costs. The project is of global importance and the need for it is pressing. The associated partner, RSUD Pasar Minggu Hospital, is at the forefront of treating COVID-19 patients in Jakarta. Indonesia, along with much of the world is in the grip of this pandemic, with 1240 daily cases on 9 June 2020 and a rising trend. Despite the impressive achievements of the National Health System in Indonesia which has managed to provide essential health coverage to the whole population in recent years, it is under huge pressure from COVID-19 and qualified staff and facilities are at a premium. The project aims to relieve some of the pressure on medical staff, develop a movement-based mechanism for continuous monitoring of patients without the need for complex and expensive equipment, and potentially make it possible to distil medical expertise from a centre of excellence and make it available in many other locations in the form of an automated, and remotely accessible platform. The Technology Readiness Level for this research is 3, which is proof-of-concept is ready to be tested by the users. By the end of this year, we aim to publish a monograph book with registered ISBN explaining our result.

supervised machine learning; AI-based telemedicine; health application; explainable AI; embedded system

• Ida Bagus Kerthyayana Manuaba, S.T., Ph.D.

• Nunung Nurul Qomariyah, S.Kom., M.T.I., Ph.D.