Using Big Data and Machine Learning to Facilitate Benchmarking and Support/Defend Your AEM Program
Many smaller hospitals/health systems lack the depth of data to defend/justify AEM decisions. Subsequently, they have no choice but to follow manufacturer’s recommendations. However, both TJC and DNV have stated they will accept reliable data from external sources. Using data from 130 million work orders and over 11 million assets, we will demonstrate how access to that data along with machine learning algorithms and artificial intelligence will overcome this obstacle.