Artificialmed

Problem:

The public sector healthcare system in Chile faces a critical challenge in long waiting lists for medical care, which negatively impacts patients' quality of life and can lead to serious health complications.

Idea:

Machine Learning models which will learn the databases of hospitals and health centers and will greatly optimize their waiting lists so that patients, especially in more complex situations and are not in the priority they should be, if they have the opportunity they deserve.

Main Beneficiaries:

Any user of public health centers. People of all ages who wish to receive proper medical care.

Stage:

None

SDG:

GOAL 3: Good Health and Well-being

GOAL 10: Reduced Inequality

University:

Universidad Andrés Bello