Open Source Medicine/Intro

Two key principles of this wiki are advanced automation and open collaboration. This page explores the application of these to healthcare, looking at how artificial intelligence can help automate healthcare and open collaboration can provide a more effective translation of knowledge into actual patient care.

The medical systems now in existence are fraught with problems. The enormous amounts of data they gather remain disconnected and scattered, doctors are completely overwhelmed, much research (especially pharmaceutical) is done by private companies who take decades to develop drugs, and develop drugs only for diseases that afflict large numbers of wealthy people. Drug development for diseases of poverty, like leprosy, are not pursued because it is not financially feasible. Personalized drug development is not developed because it is not financially feasible. In the USA, 45000 people die annually because they lack health insurance ^[1].

There is a way out: open source medicine. Use modern information technology to make medical knowledge freely available and share it globally by a standardized system. Develop drugs openly, so that people can pursue the research that matters to them, rather than base it on bottom-line considerations. Organize the medical knowledge of humanity intelligently and put it at the fingertips of every doctor. Automate as much of the medical system as possible (but no more!) to take the strain off doctors.

There is already a huge amount of open-source software already available to make the management of healthcare easier — keeping patient records, processing body-imaging information etc. This needs to be integrated over time, so that, say, the medical records program can talk to the body-scanning program.