There is no shortage of data in healthcare today. In fact, healthcare organizations have seen an 878% health data growth rate since 2016. The exponential growth of healthcare data has become too unwieldy for a human to gather, analyze, and process it all. That is why intelligent systems are so important in healthcare.
Challenges that artificial intelligence (AI) & machine learning (ML) can help solve for:
To help healthcare organizations become intentional, methodical and have a safe approach when it comes to an intelligence strategy, Cerner solutions have AI & ML embedded to help streamline workflows and provide clarity to make informed healthcare decisions. The use of AI extracts, captures and structures relevant data and presents it in an easily consumable format to optimize clinical, operational and financial processes. While the use of ML applies mathematical techniques to the collected data to make predictions to augment human decision making.
The amount of healthcare data available today can feel overwhelming and unmanageable. Learn how our intelligence products can help streamline workflows and make informed healthcare decisions.