There are two hurdles with modern diagnostics. They are time consuming, inefficient, and require resources and equipment that are habitually inaccessible to health care professionals at the point of primary contact. For patients exhibiting symptoms such as coughs, nausea, and inflammation, access to diagnostics that can determine if the cause if viral or not is imperative to better inform clinical decision making.
Secondly, there is a dearth of data in the decision making process, which compounds this lack of empirical evidence. If healthcare organisations around the world could leverage data driven diagnostics at the point of care we could potentially track outbreaks of specific viruses, use big data and machine learning to understand and interpret patterns of infection, and better serve vulnerable communities around the world.
Through repeated use of our diagnostic we could power a network of connected healthcare centres where pathogens are easily mapped across geographies.
Our smart health solution will prioritise security and patient anonymization. Maintaining personal privacy whilst giving medical practitioners, charities, and governments the means to effectively respond to biological crisis.
Data produced at the point of care will contribute to a smart-network of diagnostic results for a variety of pathogens.
The information gathered by our diagnostic system will allow governments, charities, and practitioners the access to vital, life saving information across timelines and geographies.