THE DEVELOPMENT AND PREDICTIONS IN HEALTH DECISIONS
What could the benefits be?
Machine learning and AI healthcare.
In the healthcare sector, we provide predictive analytics to help make decisions within hospital systems.
The field of health is among those that can most benefit from predictive analytics: for example by providing tools to reduce waste and to improve assistance by providing the possibility of an event – for example, that of a patient having to be hospitalized or to develop an infection – and thus allowing the health system to offer tailored treatments. These tools can be useful in the continuation of treatments, in the monitoring of diseases, in the prevention of chronic diseases.
According to a recent article in the Harvard Business Review, the health system wastes almost a third of its resources – 750 billion dollars a year – in useless services and inefficient care, waste that could be reduced through the new tools of predictive analysis, which begin to be available on the market.
Predictive Analytics is based on digitized medical records and works to improve Patient Care, disease Management, Hospital Administration and Supply Chain effectiveness.
We know how difficult it is to defend the security of sensitive data, and how crucial this is in the health field, but despite these “difficulties” Predictive Analytics is crucial to improving the healthcare world.
Prediction models have already begun to strengthen health. They help to address the difficulties of patient identification and risk stratification about some chronic diseases. It allows patients to have a high level of flexibility during their health management and allows them to make clinical decisions with more precision and timeliness.