Project XCoV19 aims to build a software that guides patients to the nearest hospital, streamlines patient flow, and models the spread of the virus in order to better anticipate hospital needs.
Background
The Covid-19 pandemic has proved catastrophic to healthcare systems on a global level mostly owing to the unprecedented implications it has had. Hospitals have had to build, develop, implement and assess SOPs within such short time frames that errors, inefficiencies and losses have been inevitable. Time is a scarcity and the opportunity costs of healthcare workers developing SOPs at the expense of delivering care are endless. Furthermore, strategic and operational decisions are having to be made as and when the need arises without much prior thought. To help mitigate the burden on healthcare systems and specifically our frontline workers, we are proposing a Rapid Hospital Resource Management system that will help streamline logistics and workflows, provide macro and micro level analytics to help understand the risks and overall impact at a given timeframe as well as offer insights into future state scenarios via predictive modelling efforts that will enable health systems to be more proactive than reactive. More importantly, we seek to offer a user friendly, simplistic and interactive interface with optimized solutions using data driven insights that will ultimately allow healthcare workers to focus on prioritizing delivering care to patients.
Official Page: www.mycovidconnect.com
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