With advancements in data science it is possible today to quickly and automatically produce machine learning (ML) models that can analyze higher volumes of more complex data and deliver faster, more accurate results – even on a large scale. By building precise models, an organization has a better chance of identifying profitable opportunities – or avoiding previously unknown risks.
Artificial Intelligence and Machine Learning are rapidly gaining momentum in Healthcare and - as some say - on the verge of becoming the most important breakthrough for healthcare since penicillin.
Wide-spread adoption of EHR systems brings along large amount of data available for reporting and other analytical insights. Health organizations routinely generate thousands of such analytical artifacts on daily or weekly basis.
Twenty years ago a consumer in the market for a specific product would get in their car and drive to their local mall to purchase the item. This was usually a simple transaction. If the price for the product was within the expected range, they purchased the item.